diff --git a/doc/notebooks/02_tutorial_basic_kernels.ipynb b/doc/notebooks/02_tutorial_basic_kernels.ipynb
index eceb7117d1d861c9d904376082d85f0931d521f2..d8a81c7b3d0c0cf9fe182e50a3265822f178d3c0 100644
--- a/doc/notebooks/02_tutorial_basic_kernels.ipynb
+++ b/doc/notebooks/02_tutorial_basic_kernels.ipynb
@@ -46,9 +46,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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",
       "text/latex": [
-       "$\\displaystyle \\left[ grad_{x} \\leftarrow \\frac{{src}_{(1,0)}}{2} - \\frac{{src}_{(-1,0)}}{2}, \\  grad_{y} \\leftarrow \\frac{{src}_{(0,1)}}{2} - \\frac{{src}_{(0,-1)}}{2}, \\  {dst}_{(0,0)} \\leftarrow grad_{x} + grad_{y}\\right]$"
+       "$\\displaystyle \\left[ grad_{x} \\leftarrow_{} \\frac{{src}_{(1,0)}}{2} - \\frac{{src}_{(-1,0)}}{2}, \\  grad_{y} \\leftarrow_{} \\frac{{src}_{(0,1)}}{2} - \\frac{{src}_{(0,-1)}}{2}, \\  {dst}_{(0,0)} \\leftarrow_{} grad_{x} + grad_{y}\\right]$"
       ],
       "text/plain": [
        "⎡         src_E   src_W            src_N   src_S                         ⎤\n",
@@ -88,9 +88,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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mRVK7bnIlFTGjPwQCtUxAoc+VKyn6wjPVw/udsxBOyUeuNasSNehsoWLCErqTfCYcnEPnQReKccgSV08MPTRdeZC11JvrJpM/wgb81i7TwY12ull+eDJWV8zlRZUvATfo4f1Senb2+/De8+fPeYk+VWejlv9FxwzmW/nhA6nk5Z3axZLnJ/LdQFq+UdYCQ2BnCOj5Qm6wxYAX32inclYpV9QuvjyDYK8OXNbxTf4h12gmWQGGwMQI6PkqKlemam7dzpbepDSUQA5aP1C4kYsKo5Pw5cOz7eQpeUT7SOUw4Ysyv3qndq5Spjvg1L4iuqLKYcxmHfx2bfH9NeOmtkW/D0X7r/r1n96VDBEwoL/XxWpA9cDUaaQzE7A6V7evsVQVh/FmbIhTYCGvUpTkf6qLWRgOveWs9CirubEIbJwnnFM4e2kOYaI8W5MrtNdfYWUl48ehfh7l/sbH8C7ZtHGeZMmVBRhZrbr49Qp3t+LJuzZ8r4bxKmtinmom269zDWH1YWsy/VS3uZSuiH7cGJWxPNkibupb8vvw6gIgGBi8UCsnQO4rwHmMVSmmaheGBBYT7qku36hwSnV186g/YKS+V9/ZVph/Y+frWQi9PxVueHxUfJbo95Z5orYjC95l4rYJuRL07T3x+lm5L79TYQjy7D4qHEyurIzLW+aJ2j5GrszKiVoGMP5DxwRE804VHWG2KVV6CX3UxcFz313M4xFSHysla3ObkOnCfRJdUeWyoh/+91sMjzaBW0dHkt6HVx0FuKQXCnDG4uv6oeDBwMDw9yU62sV8tYeH95V8znSwvw6G8yk64mZkCAQ5eNfa3iZ8wAbrm+Uvc/MjsGWeIBNy5cAm5Io3HHhOMMzZl03YDIw7cLY8hu96sa/QlnkyRq4swUVWLlqGRi0X+QM+tjWhg7AN3d/5AT39ZItN5SLyOFK2SSWvHrvME/qbkOnCeW264iZwC8ZN8vsw+UxGUKFFN4CAHi5WepglCveKYmAg7OwMi0CY0xlP5kQ7ry7xiGfmYf1yOslnEoPP1+bMWuU1YsW5hIPJlZXxx3gyH0OENasUfBETxSvJKQ9frIs2GESLLEL2bOI8RhIYRrwJBOoxGP0+FH11JuPSSsYmOm6NjEKAFSm3X7QrAwLM3LwIGE/mxTunNraHVjOOEpgoFAhYMzDukLQxfIfFWkLGk5k4IVkA1mx/aq1mDFVfyxLyprizFaqUzEZrCBRAIOt9eF2gYiti5QhIqPV9OYxDPCfdty0gM/PQeDIz4HnVsZzNPl62PbAFgrNM5moEbAyvbygYT+blifBmKyVbo/x/Ch9qBDIl2sgQLVs1WcXwz5sO1WH3DYHSCGS9D83IKM2GjZQngYWBwQxM8lLvRrq4uWYaT9bFMvEjWhFYV8uXa42N4eWw76vZeNKHTJl04ctZ1ejdAKJNXQ3lzOlNmdZaKYZAHgIag1nvQ9sulYf3HnJxHoOvXuQe4N0DBmvrg/FkbRyx9qQiYGM4FbHp6Y0nE2M8pREwZdkTw2LFGwInMzIOOAgktFj24oxG3zaqA6KybJeNJ8vib7WPR8DG8HgMS5dgPCmNqJVnCBgCKQiYkZGC1g5o9dJhfycHWO0rFSvhp/FkJYywZmQjYGM4G7rJMhpPJoPWCjYEDIFIBMzIiARqD2R66bjP1TYrGErjENrHe+jfFvtgPNki16zNPgI2hn001hE2nqyDD9YKQ+DoCLiD33yz+YMHBl9MSD2c5GW34NoQED856P2Z/PCgN4aH8XoBhhlPFgDdqiyKgI3honAWKcx4UgRGK8QQMAQSEJDcYRs+O2Va7t6HD75t0bpnkZ0gIOazUlH9G3pHlx7r/icd6ZY0IQLGkwnBtaJnQcDG8CwwJ1ViPEmCy4gNAUNgYgTcSsbE1VjxCyOAgYGhcWZlKs3+I2MZ5hhPlsHdai2HgI3hcliWKsl4UgpJK8cQMARGI/B/iUsndZCxSrQAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxwAAAAnCAYAAACFUk77AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAUlUlEQVR4Ae2d4bXctBLHN/fcApJQwYMO8qACkg4CqSDQQTh8Ct9yoINABUnoAF4FCXQAHSTcDvL+P1/JyFp7Lcmy1/aOzvFKlkcj6T/yeMaSvHeeP3/++HA4vNERhm9/+OGHn8MMS8+LgPD+UTW8d7V8pvg75d1wrviBoic6Hij9SMenSn+ng+t/6fxIVsoL+UH3Tnl/KrYQIRBhZdhH+NjpthGoOb4jXqZXTgyNCCvTKyewskuGgCGwHwSk+16qN99EPbp35TJ+FcGd4DgyYKOCdloRAeH+m9i9UvwTh9I4gDgMPjxRPg7GQTGCxCH81l0M6bj+qY6/dO2tYs/vvzrv0LmyFx8JI8P+4kfBfgGoNb7Fx/RKxjCphTtVGvYZwBupIWAInB0B6Sxs1NanUIOal+fe4Th7Ay+1ATxM1PeHisPZB5yLP8DEXceBINzXAW3jfCh9V0fsHGJA40D+qtiHr5UgvxNE89jx7+TXOhHvZ7V4zcHH9X2X2JfgtXZ5lfTpkstUHt+mVxIHU2XcqXU12CdC0CEzvdKBw04MgYtF4Ppie76yjksp81BhZuN3pR8FzcOpeO3OWVrlZzYOomvTXNc5sx84MC8490H593zax8pjuutvxX8HedSFc4J3yqzIaBCdnzlhOdgnOvfO0EFpZlhe6ui0c5TpwgRq39mxL+my2n2R8irB6pLLTB3fKj9VrwzqiCG5nBrbumZ6JV2nZ2M/JJNT+XuQ16n+2TVDwBCYjsDVdBbGYQoCUtQY/CyjeqiDBzt7MvxD4qD0nzpudHCd4J2P27PuL84CDstNN7t7pusYquwF+d1fURpnBieEaxyjQWWgf6+Y/Sb04TfFGO9heKO8tj/hhXOn1a5VYF+Cg9p+cfIqwemSy1Qc31P0SoqO6IgpcWybXglQE2Z9Oj0b+4BlcnLr8kruqBEaAobAJATM4ZgEX53CUtgY7HfEjZkNnIBn7gESVvCVTpiRuAkzfdrR89CJDX5PEsY4ADg3bVB5HBuchnbGo704nIBP6LSQZokSsyxNUNrnJTkxvtxSsdp3duxL+qp2X6S8SrC65DJTx7fKc98W6xWVHdURsXxSxrZoTK90gTvS6SXYd1mmne1BXmk9NSpDwBCYgoA5HFPQm1hWivpHHX5/xkHpeDlVWAMzHOG+jPAaZW9cho/j636GhHycgtZR6BAmnqg8TgWGSOygUD9v38PQGAdhxrnTav9msS/BbuvyKunzJZepNb7Fx+sTH3dg1fVBvZI55jp8E09Mr/wLVEenL4D9vzWnp1Ynr/SmG6UhYAhMRcAcjqkITivPwzqeaeAzxT8HD/qDe3hg4I/NXrCBnJmQTlB53n59INPx6jUeOoXGT+4OkFDP/ejaW52H+1Kiy2c53TL2JYBtXV4lfb7kMjXHd6leyRlzJbIyvSLUBnT63NjvRV4l/bAyhoAhUIDAdUEZK1IPgadixZspv3cCzuzXiDdZ42ywnOrkrATldPDmHgfDz5zw4HmhvBvFBHg1zkdzVv8HZyN+2FE39a4p7BH7Eny3Iq+Svl1ymWrjewa90jfmSmRleuUWtRydXgv7vcirpB9WxhAwBAoQMIejALRaRfQg51O4HCeD6HA0+OOo0SDa9itRA8Q4Azyop4YhHvCPl1nN6eAU9WNN2KstD9QJnMSxgEMZYztWxl/ftLx8JyxOQ6D2+Ba/Er2SM+bSOtalMr1yiwc6N8Y6PvfIQTuoQ2bWRauTlwfFYkPAEJgfgc05HE4h/iJoeKvzWufxbMD8qG27Bh42PHQmBeHuN7Ajh9hpis+hGXzITWrItgr3Yi8swWvWJWcmr/GBIoxw/Ey3jEPVR3E0tjPHXB/PsTzTK7cIVcN+Zl10NnnZvT12K+37usm/XL41sbsqb8Z5SqIQdfAfERjNY3saztPIFdcKfmoeij8rqNxdHfFbeP7vg7XiTdB10vzpYOxcUJ9f4nVLfIG/wqUI+xKoVJfJKxM45KPDdEsmbpCDnaI+vXJSR6hc3zhNbYHplfNhnyqjkO5s8mJ86ph0b7uxymfr+8Z52E9LrwyBGvJfWZcWa05N7K4Wa3XFigSAN3JP7mmoWOXeWDE70VGanOvAofheR5PWefhP4dB/ozw2tTdBaT6jy5/9sW8EWjass3Y8Dry9H/zCVky88/Mj7Ev6K7xNXiXAjZQRrqZbRjA6cflobAvPMR3Rp1fGxrZvgukVj8TtHr9Yp2dj/y+79FSCLvLMziqvCvc2ugGMP/gOWbwdBCrIf7Sz1KGDPbm7CrWwu94oKiguv6SnehfcgHmnmLd2eww4FixFa9dlq6/MSrTncacdFvcUtw4HNDofLOOuN8u3RBfPesRVXMr5EfYlHXd4DmKv64xdk1c+uKZb8jHzJXrH9ikd0TdOx8Y2lYnG9IpH/Taugn2XZdrZhuQ19d6eWj4N0JmpJC8M4j3bN0MILiE/9FKjm4YasdH8KthdbbTzvGmYc3YDY3y3BrIUDtixlKHzRmxsLIi+BHf/IBxjfxHXS7EvAcfkVYLaoWSM51S0W91SOrZtnOYMn37ahbHvb8Tp3DU8B6be25Tfw0z9bnXQ6SE4u24fqX7Tl6feO03nr1MhkELjzfYXOt67Mtx4TB/xnxFstnyi44HSj3RgyPL29UYHax75jnsb3HUUEEY9/OD1WPlMAXdCDy3GMvW96BBWOlF9ADvb7EmlZk5mo376T+iGn8wd48tSh2RHT7S8SXmjeLfO2xhgfdcLse9jNZa3CXkJD9MtY5LcyPXCsb2Jcbp2ESyBfQkGatfizwHViQ0S2hgn7QbRQ+ttG74I+Z3ybnRgD2Cg89Yantg4bxS/VXxkryh/1cH1ZzH7RvUN6naA0vVk21G0sUxXYzfWFnpN3BzOq8DuKgUodZ6b8XvF3ITcZAj6Dx3+T+aecE3nB8X8kR3GLDcpgbJtUD43MGXh5flRhn0AnamoAVrPL9nwbSsfSbj64f90hHQXl8E/pyOi7ziOCWX5ilh1OSXUu3qSXOxLOrQFeamNpltKhLviMrljewvjdMVwd5q2APad+hJPFn0OCIM+G2PQbhA9H595pfgnDqVxKBp6nf+uAzun+YNepXmh+pWOLTob2FeL2TfCaEy3qzmHJNtRvPpkugq7kU7UDDVxo11rwm7U4VBj8VDZEPwljScojzfWDN7flMZz8l8guq/0Q+V5Qxaa1khVPufczDga4Vtv0h2ve4SWL07cqEy1IH542v/T8bQ272qNnIHRnH2dk/cMUCzOcm34LN0e1We6ZfFRt0yFc46lOXkvg868tawNnyXbo7pO2RhHdoPosV+wWcL9mtgvvBQNA2vYQ5rwWpMWD1ZpwG+WIN7hR1yy6lDZRe0bsFADB+1GGi8asBq1HUV3SqZntRvpR81QEzfatTbsrhPA4rv0fOq0NfCVZvASmOlgMLzmRIF8P7NBZ9t0c/XWu2bvQOuEuHy8V3iFAe84lTYsl51We6iLm4M+sgRIUVHAkYr7UcTICrU3C04gYyw18Pbp5IMhlZHRzY6A6ZZ0iE23pGN1klL6AX1ieuUkSpu9WGQ3aEwwy8HLUGY0cC7i0GejtDQqw7IxjN/2RarStIXAUi2+5uhfxDaZfT+nyugaMzAvdcR2VR+rNs/xXNq+GdPttC/VdsyRaQ5ti1FuAjmoDGMiDvfJGJARDq9fFRSX8+c1cYNnDh45tL69WfH1KWqBgwPBoHgV0QE06xvDm8uD752PqEhz+rV+O0tsxAP+eLrc8GHIoQ3LZafVBh7meNrcyF8qfZPNJLOA6viYWWR35MLgzqlOOTnw7fSqwbAvg3NMXjlcxct0Sw5gGbQ2vpsH/qBuET7od9MrGWNqTtKaekXtzLIbVDdOAsujMMgbG4ZzHa1zoPSQjdLA4q43S62aDP0oDwfkveJm6ZXihzpYEdLnzHg+KWV4Icry87Z9vs6hGFodi9k3qitJt4uueTGoeMx2zJFpDu0QZKP5anOv06d8ZnbYk9bIfZRRQKAytXGDew4eObRBy9OT1yOkn7vr8RtjbpqO46BzPLfO9JYr20QCk5uWo8+xOOh6yy+HNqxjSlp1svn9nXjw5qv6wyhum+oafCDGtHZeFwHDvi6ehdxMtxQCN1bMxvcYQvNcN9znwTWVq/BPtjFCniqH8Y5RjuFL+pnS4cdUvCPSsVFEc+P48Ga42ePhzonIC5ehM3PSLEFX3L6oDeiTyqgsfJr9rop9/RGb41PRLmnf5Oh2GjtoO6rdyTLNoT1GaBU51XCjNzl45NBOQWrM4Wh4qzHtDeIaxg0Ye3jkpSwnanm5hrdrI8X7sfJwbj64a6O0vm2Kn7kyfGGCmx1eTdrTuOuDkeiY8mLKMusNwiBDu2AI7BgB3ScseUx+6PVBofLtPQ4/0axKt6hNtIc3T18o3U6HK82bxva8r29hnmhNt4SAWNoQGEBA98pUvdLqFFfFkY2hOng52tgJirETDopxKDDo49UHbXlHh21BHf5FLLMXrT2kNCs20GVxO9CV6JI4/5BZhnam2lsivQ2qY1EdpPrafio9pNtpXEpfWl6uO61MxPusdqNrT7WoMm60qzp2amPRc/FqBKVmeZSYcwP5wBozQnONhLsOTTx7weUmiIabjRul5aU8Bgo3IDMLBKYl/SxJEi2FVAZng30mTGPd14HTQPpzHfBPDirH/hLaZcEQMAQGENB9wgPkH8Xx5sqBEkfZq9ctro98BhNdwoZQ+nxQjE5B4WYFlTPdkoWYEV8aAu4eK9IrKptsYzhcuYc7MxPiwbOf2QB4+YBN0Rhtrn0smWmcDcXYMyEtZRo9QSIKvEiFV1/IKfNWDDC4s4Pau4QOStLtNN7hN2g76jrYJtmCObSu7mp2I/wqhGq40ZYcPDJpGatFz8XrUyDRCB0MbN74M8g/0cFN450CJZvAgCGPgXEq8EbwF9EhaHi90uH5kxfe/Dm04X4SwPCOD1+c8m8hlJ0ccF4eJvQnmaERGgJ7QkD3hr/neBvJwYMhObjy/t5fq27BOMD4wAgJdR6Gin9JktxnR2i6JRcxo78YBJxewLgv0isql2M3PBU9z3n2TmA3ENBr7WzFbVazzIqXmNAdFPMCwgdsH2yilIA+8fWk0EPTVwZdS72lYVYdJHzAMEW30376MWY75sg0h5Z2+rf/yGWq3Uh/isMMuNGWHDxSaYufi3eeP3/Ow/SJOktlo0F0vNF8pzi+KUfLLkGgdjEd+pliP5CWqNbqMAQuEgHdZ+gPliHwEJwUxGOVukXt4us1PBSbjZrufJN//DVJQFbYEFgIAd1j1fTKnE127ezYT8rDiGaT9j2lW72oNLYJX1E8WnqeU0a0D8SHl8AY9ZsIausqdbsHT+2rYjeKD+O2aNO4b0sYrxk3tS35uSjaf9Sv/wzOcIiAQf29DmYJmpvG5ZHPm4HVBde+1mvVOYI3x8NJCjyU9F+3+Fxp3sywWa5kFshxtWgKAjuQCXsbjh6gpzAR/dZ0C+0NZ1+Z4Xhxqo+Xdm0H43h3Itu4TLL1ypkE2MzGhHULdz8byvM2frbG503RzDLNrEBY51rS6sfWdPvBtbmW3Yit3DqZqXLZIm7qW/Zz8eoEIDgbPFibIEDuKsH+jVUZqGoXTgXeE+GJjtDB8MZ1c/GSf8BJ/W++4a00/wTPl7hQfn8o3cr5kjFauu9bl4naj054X4DbJnRL1K8PnLt75a7iXsMhKnMRp8LCdMvKJL1lmajtpXplcSk4PcD4jwMvJNrnquhIs5SpsU/oow42rYfhZJmAkPqYQVlj2IRuF/az2I3iy2x//D9zKXLaBG49Hcl6Ll71MPBZL5VgT8Y37sbg5sDZCNcvetqzxWoPN/BrxewBYQ0eAuezdpybwyEQXEB+nWVwwgh88MaZGrOwPAJblwm6oUQfbEK3BMOB+wQnnTXcpM3ZCMBRcuvjuNubfZxtWSaleuVckmNGo+N0OL3In/2x9AlbhCXr4coQ6OknS3CakFDGk7KUKmtW2RdcIN6EbhfWa7MbN4FbNH6yn4vZeziiCu10IwjoBmMWiDdH8bpSnA2Unu17EQhLBpPJkmiX1SUZcc/cdw+og2JeavBJ3JK3WGWNWHkpYWG6ZWUyMpksJxBhzewFX9jEAMsKKsPX75KdB9Gij9A/m9m/kQWIEW8CATcOk5+Lom/2cJya4dhEx62RyQgwW+XXlvYVQpFZWBYBk8myeJfUxjLS5i2klCaGBUrWnI0ukjaOu3is4cxkspAUpA/AmiVSnVmOseqdPqFsTjiaucopbLSGQCUEip6L15UqNzYrR0DKbegrZGz8Oei6LRNZWIYmk4UBL6uOqW7W+7IsgiUS7H2yECBg4zgAYyVJk8myghDeLLlk+VT4D+VjjUCvJDscomVJJ7Mb4T7VsTrsuiEwBwJFz0VzOOYQxUZ4SnHhbPBWJnsqeCNd3FwzTSbrEpnkkWwQrKvl522NjePz4t9Xu8mkD5V6ecKXPa7JKwVEmztTyl7Vm3otNk6GQBkCGodFz0VbUlWG915KsX+DL2eUbPzdCwZr64fJZG0SsfaUIGDjuAS1ecuYTObF9zCnQzAn75lhMfaGQIOAORwXOhCkvJgSY0/H0FKrC0XmfN02mZwPe6u5HgI2juthWYuTyaQWksbHEDAEShEwh6MUuQ2X08OHtaBsfrUvXaxEjiaTlQjCmjEJARvHk+CbpbDJZBZYjakhYAhkImAORyZgWyfXw8d/Ared2VAem9c+3Xrfttp+k8lWJWftDhGwcRyisY60yWQdcrBWGAKGwOHgN43zLeiPASB8cSF3Q1NQ3JJrREAyZZP4F4rjTeI4ISbvMwjNZHIG0K3K6gjYOK4O6WSGJpPJEBoDQ8AQKEBAuocl+6yk6YQ7Hz+Gfkbnmp3sCAENAGYwmn9i7+nWQ13/rCffsmZEwGQyI7jGejEEbBwvBnVyRSaTZKiM0BAwBBZCwM9wLFSdVXNGBHA2cDqOvE7l2X9wnEcwJpPz4G611kXAxnFdPGtwM5nUQNF4GAKGQDUE/g9m0CnDBZzhDQAAAABJRU5ErkJggg==",
       "text/latex": [
-       "$\\displaystyle \\left[ grad_{x} \\leftarrow \\frac{{src}_{(1,0)}}{2} - \\frac{{src}_{(-1,0)}}{2}, \\  grad_{y} \\leftarrow \\frac{{src}_{(0,1)}}{2} - \\frac{{src}_{(0,-1)}}{2}, \\  {dst}_{(0,0)} \\leftarrow grad_{x} + grad_{y}\\right]$"
+       "$\\displaystyle \\left[ grad_{x} \\leftarrow_{} \\frac{{src}_{(1,0)}}{2} - \\frac{{src}_{(-1,0)}}{2}, \\  grad_{y} \\leftarrow_{} \\frac{{src}_{(0,1)}}{2} - \\frac{{src}_{(0,-1)}}{2}, \\  {dst}_{(0,0)} \\leftarrow_{} grad_{x} + grad_{y}\\right]$"
       ],
       "text/plain": [
        "⎡         src_E   src_W            src_N   src_S                         ⎤\n",
@@ -130,7 +130,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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4CAOpDLDDwukltcOq4p78pzQWHhYXvsncWmOcGrl7x9pa5Sa2VFtTytbk0UTk9TdipcWUyWhl5VM1NZnaPzE6PREWqbqXizjnONbCyft2pW1ctjUJGGJjrIkStACBVlJ/LB/kZ9uDVfaF8vgfnyjYt3BjfnMJX81TBYALHxJWHts3+I+VW132QQ44+7hPSMlT0SZiLrVZKNT30dT+fbyH6gwMDRzb2lubO3VahCxGFvlYMp5YEcH3MsCgDxDpii8HcLlRbBYlZYBEDX81C9YR9/FtvKZwXUoDiPiIAMKxcqvLPui4DzFdSmmAPT17/5J4UuI3GFosU/uX41bnJRtbFeRrOElhoDq2IRDyGQ1di7XrjbNxW7dr2di9fLJKwACw4PMKAxjK8P1wIp50DWHNNSwu9Wd7Bk98O6avueSukeksbRxwzqLm6YPECclTERM8kNL3lHiswE+MBKJM4Z1CY/+vPBN6sH9ks0T0SEwfS45y68R2gjdUuYVGug1cTS6z6izfFzMugGDAFtoqz7hmSVCGLgmdpD4AAX3wt4S+WRmvtHN+JZ+SN98ElmXkTQ+1cpfjbDqfftN401JesHCadDzZARFeqdpTs/WK4wRlodwqYNLj9LxROQshkfKtr5Vr+ydGMyc0PtYBWwjkh8izjbBFFgr5ozKzeFjEXCN+LMDqqQL6ggf92N7Ah20NoBLK1Ta9PVLaxlV1OovDuHzPRx/65jxfqLz1XqgcS4Z+qV7pYK0oDm+1VB9IeZPXwA55eTgAplh7ti1TMpwPYuuXdKF0p9x02CM54Kx81zSpqgFnZVF9eNfAZA0cJ3NwBq4B14BroFIDDjiVivJmrgHXwHQNOOBM1+FUDm8jgzGO0Kljen/XwCoacMBZRe2NQe1t0p1Xxo1WnnENXIAGHHBWvolyGtubDd6SOLkGLloDDjjbuL32DU3+c6rbkMylcA3MqAF/LT6jMqewkqXD1opzG3z30zhXM4Wv93UNbEkDbuFs525wspRDbvxOix0U2450LolrYAYNuIUzgxLnZCGwsYOA/IiT+XfmHMJ5uQZW04BbOKupvn1ggQxH8vkgs++7nPbOXuoa2LgG/g+UwvemfwkDYgAAAABJRU5ErkJggg==\n",
+      "image/png": "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",
       "text/latex": [
        "$\\displaystyle {src}_{(1,0)} + \\begin{cases} 1.0 & \\text{for}\\: {src}_{(0,1)} > 0 \\\\0.0 & \\text{otherwise} \\end{cases}$"
       ],
@@ -163,9 +163,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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",
       "text/latex": [
-       "$\\displaystyle \\left[ grad_{x} \\leftarrow \\begin{cases} \\frac{{src}_{(1,0)}}{2} - \\frac{{src}_{(-1,0)}}{2} & \\text{for}\\: {src}_{(-1,0)} > 0 \\\\0.0 & \\text{otherwise} \\end{cases}\\right]$"
+       "$\\displaystyle \\left[ grad_{x} \\leftarrow_{} \\begin{cases} \\frac{{src}_{(1,0)}}{2} - \\frac{{src}_{(-1,0)}}{2} & \\text{for}\\: {src}_{(-1,0)} > 0 \\\\0.0 & \\text{otherwise} \\end{cases}\\right]$"
       ],
       "text/plain": [
        "⎡         ⎧src_E   src_W               ⎤\n",
@@ -204,10 +204,10 @@
     {
      "data": {
       "text/html": [
-       "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$a \\leftarrow {src}_{(0,1)} + {src}_{(-1,0)}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$b \\leftarrow 2 {src}_{(1,0)} + {src}_{(0,-1)}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$c \\leftarrow - {src}_{(0,0)} + 2 {src}_{(1,0)} + {src}_{(0,1)} + {src}_{(0,-1)} + {src}_{(-1,0)}$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${dst}_{(0,0)} \\leftarrow a + b + c$$</td>  </tr> </table>"
+       "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$a \\leftarrow_{} {src}_{(0,1)} + {src}_{(-1,0)}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$b \\leftarrow_{} 2 {src}_{(1,0)} + {src}_{(0,-1)}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$c \\leftarrow_{} - {src}_{(0,0)} + 2 {src}_{(1,0)} + {src}_{(0,1)} + {src}_{(0,-1)} + {src}_{(-1,0)}$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${dst}_{(0,0)} \\leftarrow_{} a + b + c$$</td>  </tr> </table>"
       ],
       "text/plain": [
-       "AssignmentCollection: dst_C, <- f(src_N, src_E, src_W, src_C, src_S)"
+       "AssignmentCollection: dst_C, <- f(src_C, src_W, src_S, src_N, src_E)"
       ]
      },
      "execution_count": 7,
@@ -271,10 +271,10 @@
     {
      "data": {
       "text/html": [
-       "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$a \\leftarrow {src}_{(0,1)} + {src}_{(-1,0)}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$b \\leftarrow 2 {src}_{(1,0)} + {src}_{(0,-1)}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$c \\leftarrow - {src}_{(0,0)} + a + b$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${dst}_{(0,0)} \\leftarrow a + b + c$$</td>  </tr> </table>"
+       "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$a \\leftarrow_{} {src}_{(0,1)} + {src}_{(-1,0)}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$b \\leftarrow_{} 2 {src}_{(1,0)} + {src}_{(0,-1)}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$c \\leftarrow_{} - {src}_{(0,0)} + a + b$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${dst}_{(0,0)} \\leftarrow_{} a + b + c$$</td>  </tr> </table>"
       ],
       "text/plain": [
-       "AssignmentCollection: dst_C, <- f(src_N, src_E, src_W, src_C, src_S)"
+       "AssignmentCollection: dst_C, <- f(src_C, src_W, src_S, src_N, src_E)"
       ]
      },
      "execution_count": 9,
@@ -337,22 +337,22 @@
        "span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\n",
        ".highlight .hll { background-color: #ffffcc }\n",
        ".highlight { background: #f8f8f8; }\n",
-       ".highlight .c { color: #408080; font-style: italic } /* Comment */\n",
+       ".highlight .c { color: #3D7B7B; font-style: italic } /* Comment */\n",
        ".highlight .err { border: 1px solid #FF0000 } /* Error */\n",
        ".highlight .k { color: #008000; font-weight: bold } /* Keyword */\n",
        ".highlight .o { color: #666666 } /* Operator */\n",
-       ".highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\n",
-       ".highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */\n",
-       ".highlight .cp { color: #BC7A00 } /* Comment.Preproc */\n",
-       ".highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\n",
-       ".highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */\n",
-       ".highlight .cs { color: #408080; font-style: italic } /* Comment.Special */\n",
+       ".highlight .ch { color: #3D7B7B; font-style: italic } /* Comment.Hashbang */\n",
+       ".highlight .cm { color: #3D7B7B; font-style: italic } /* Comment.Multiline */\n",
+       ".highlight .cp { color: #9C6500 } /* Comment.Preproc */\n",
+       ".highlight .cpf { color: #3D7B7B; font-style: italic } /* Comment.PreprocFile */\n",
+       ".highlight .c1 { color: #3D7B7B; font-style: italic } /* Comment.Single */\n",
+       ".highlight .cs { color: #3D7B7B; font-style: italic } /* Comment.Special */\n",
        ".highlight .gd { color: #A00000 } /* Generic.Deleted */\n",
        ".highlight .ge { font-style: italic } /* Generic.Emph */\n",
-       ".highlight .gr { color: #FF0000 } /* Generic.Error */\n",
+       ".highlight .gr { color: #E40000 } /* Generic.Error */\n",
        ".highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */\n",
-       ".highlight .gi { color: #00A000 } /* Generic.Inserted */\n",
-       ".highlight .go { color: #888888 } /* Generic.Output */\n",
+       ".highlight .gi { color: #008400 } /* Generic.Inserted */\n",
+       ".highlight .go { color: #717171 } /* Generic.Output */\n",
        ".highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\n",
        ".highlight .gs { font-weight: bold } /* Generic.Strong */\n",
        ".highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\n",
@@ -365,15 +365,15 @@
        ".highlight .kt { color: #B00040 } /* Keyword.Type */\n",
        ".highlight .m { color: #666666 } /* Literal.Number */\n",
        ".highlight .s { color: #BA2121 } /* Literal.String */\n",
-       ".highlight .na { color: #7D9029 } /* Name.Attribute */\n",
+       ".highlight .na { color: #687822 } /* Name.Attribute */\n",
        ".highlight .nb { color: #008000 } /* Name.Builtin */\n",
        ".highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */\n",
        ".highlight .no { color: #880000 } /* Name.Constant */\n",
        ".highlight .nd { color: #AA22FF } /* Name.Decorator */\n",
-       ".highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */\n",
-       ".highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\n",
+       ".highlight .ni { color: #717171; font-weight: bold } /* Name.Entity */\n",
+       ".highlight .ne { color: #CB3F38; font-weight: bold } /* Name.Exception */\n",
        ".highlight .nf { color: #0000FF } /* Name.Function */\n",
-       ".highlight .nl { color: #A0A000 } /* Name.Label */\n",
+       ".highlight .nl { color: #767600 } /* Name.Label */\n",
        ".highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\n",
        ".highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */\n",
        ".highlight .nv { color: #19177C } /* Name.Variable */\n",
@@ -390,11 +390,11 @@
        ".highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */\n",
        ".highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\n",
        ".highlight .s2 { color: #BA2121 } /* Literal.String.Double */\n",
-       ".highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\n",
+       ".highlight .se { color: #AA5D1F; font-weight: bold } /* Literal.String.Escape */\n",
        ".highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */\n",
-       ".highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\n",
+       ".highlight .si { color: #A45A77; font-weight: bold } /* Literal.String.Interpol */\n",
        ".highlight .sx { color: #008000 } /* Literal.String.Other */\n",
-       ".highlight .sr { color: #BB6688 } /* Literal.String.Regex */\n",
+       ".highlight .sr { color: #A45A77 } /* Literal.String.Regex */\n",
        ".highlight .s1 { color: #BA2121 } /* Literal.String.Single */\n",
        ".highlight .ss { color: #19177C } /* Literal.String.Symbol */\n",
        ".highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */\n",
@@ -415,19 +415,16 @@
     {
      "data": {
       "text/html": [
-       "<div class=\"highlight\"><pre><span></span><span class=\"n\">FUNC_PREFIX</span><span class=\"w\"> </span><span class=\"kt\">void</span><span class=\"w\"> </span><span class=\"n\">kernel</span><span class=\"p\">(</span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_dst</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
-       "<span class=\"p\">{</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">   </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">2</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">18</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">   </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_dst_00</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_dst</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_src_02</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">60</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_src_0m1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">2</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">28</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"n\">_data_dst_00</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src_02</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">_data_src_0m1</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">];</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">   </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
-       "<span class=\"p\">}</span><span class=\"w\"></span>\n",
+       "<div class=\"highlight\"><pre><span></span><span class=\"n\">FUNC_PREFIX</span><span class=\"w\"> </span><span class=\"kt\">void</span><span class=\"w\"> </span><span class=\"n\">kernel</span><span class=\"p\">(</span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_dst</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">)</span>\n",
+       "<span class=\"p\">{</span>\n",
+       "<span class=\"w\">   </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">2</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">18</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span>\n",
+       "<span class=\"w\">   </span><span class=\"p\">{</span>\n",
+       "<span class=\"w\">      </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">2</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">28</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span>\n",
+       "<span class=\"w\">      </span><span class=\"p\">{</span>\n",
+       "<span class=\"w\">         </span><span class=\"n\">_data_dst</span><span class=\"p\">[</span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">[</span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">60</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">[</span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"p\">];</span>\n",
+       "<span class=\"w\">      </span><span class=\"p\">}</span>\n",
+       "<span class=\"w\">   </span><span class=\"p\">}</span>\n",
+       "<span class=\"p\">}</span>\n",
        "</pre></div>\n"
       ],
       "text/plain": [
@@ -435,12 +432,9 @@
        "{\n",
        "   for (int64_t ctr_0 = 2; ctr_0 < 18; ctr_0 += 1)\n",
        "   {\n",
-       "      double * RESTRICT  _data_dst_00 = _data_dst + 30*ctr_0;\n",
-       "      double * RESTRICT _data_src_02 = _data_src + 30*ctr_0 + 60;\n",
-       "      double * RESTRICT _data_src_0m1 = _data_src + 30*ctr_0 - 30;\n",
        "      for (int64_t ctr_1 = 2; ctr_1 < 28; ctr_1 += 1)\n",
        "      {\n",
-       "         _data_dst_00[ctr_1] = _data_src_02[ctr_1] + _data_src_0m1[ctr_1];\n",
+       "         _data_dst[30*ctr_0 + ctr_1] = _data_src[30*ctr_0 + ctr_1 + 60] + _data_src[30*ctr_0 + ctr_1 - 30];\n",
        "      }\n",
        "   }\n",
        "}"
@@ -478,22 +472,22 @@
        "span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\n",
        ".highlight .hll { background-color: #ffffcc }\n",
        ".highlight { background: #f8f8f8; }\n",
-       ".highlight .c { color: #408080; font-style: italic } /* Comment */\n",
+       ".highlight .c { color: #3D7B7B; font-style: italic } /* Comment */\n",
        ".highlight .err { border: 1px solid #FF0000 } /* Error */\n",
        ".highlight .k { color: #008000; font-weight: bold } /* Keyword */\n",
        ".highlight .o { color: #666666 } /* Operator */\n",
-       ".highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\n",
-       ".highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */\n",
-       ".highlight .cp { color: #BC7A00 } /* Comment.Preproc */\n",
-       ".highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\n",
-       ".highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */\n",
-       ".highlight .cs { color: #408080; font-style: italic } /* Comment.Special */\n",
+       ".highlight .ch { color: #3D7B7B; font-style: italic } /* Comment.Hashbang */\n",
+       ".highlight .cm { color: #3D7B7B; font-style: italic } /* Comment.Multiline */\n",
+       ".highlight .cp { color: #9C6500 } /* Comment.Preproc */\n",
+       ".highlight .cpf { color: #3D7B7B; font-style: italic } /* Comment.PreprocFile */\n",
+       ".highlight .c1 { color: #3D7B7B; font-style: italic } /* Comment.Single */\n",
+       ".highlight .cs { color: #3D7B7B; font-style: italic } /* Comment.Special */\n",
        ".highlight .gd { color: #A00000 } /* Generic.Deleted */\n",
        ".highlight .ge { font-style: italic } /* Generic.Emph */\n",
-       ".highlight .gr { color: #FF0000 } /* Generic.Error */\n",
+       ".highlight .gr { color: #E40000 } /* Generic.Error */\n",
        ".highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */\n",
-       ".highlight .gi { color: #00A000 } /* Generic.Inserted */\n",
-       ".highlight .go { color: #888888 } /* Generic.Output */\n",
+       ".highlight .gi { color: #008400 } /* Generic.Inserted */\n",
+       ".highlight .go { color: #717171 } /* Generic.Output */\n",
        ".highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\n",
        ".highlight .gs { font-weight: bold } /* Generic.Strong */\n",
        ".highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\n",
@@ -506,15 +500,15 @@
        ".highlight .kt { color: #B00040 } /* Keyword.Type */\n",
        ".highlight .m { color: #666666 } /* Literal.Number */\n",
        ".highlight .s { color: #BA2121 } /* Literal.String */\n",
-       ".highlight .na { color: #7D9029 } /* Name.Attribute */\n",
+       ".highlight .na { color: #687822 } /* Name.Attribute */\n",
        ".highlight .nb { color: #008000 } /* Name.Builtin */\n",
        ".highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */\n",
        ".highlight .no { color: #880000 } /* Name.Constant */\n",
        ".highlight .nd { color: #AA22FF } /* Name.Decorator */\n",
-       ".highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */\n",
-       ".highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\n",
+       ".highlight .ni { color: #717171; font-weight: bold } /* Name.Entity */\n",
+       ".highlight .ne { color: #CB3F38; font-weight: bold } /* Name.Exception */\n",
        ".highlight .nf { color: #0000FF } /* Name.Function */\n",
-       ".highlight .nl { color: #A0A000 } /* Name.Label */\n",
+       ".highlight .nl { color: #767600 } /* Name.Label */\n",
        ".highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\n",
        ".highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */\n",
        ".highlight .nv { color: #19177C } /* Name.Variable */\n",
@@ -531,11 +525,11 @@
        ".highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */\n",
        ".highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\n",
        ".highlight .s2 { color: #BA2121 } /* Literal.String.Double */\n",
-       ".highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\n",
+       ".highlight .se { color: #AA5D1F; font-weight: bold } /* Literal.String.Escape */\n",
        ".highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */\n",
-       ".highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\n",
+       ".highlight .si { color: #A45A77; font-weight: bold } /* Literal.String.Interpol */\n",
        ".highlight .sx { color: #008000 } /* Literal.String.Other */\n",
-       ".highlight .sr { color: #BB6688 } /* Literal.String.Regex */\n",
+       ".highlight .sr { color: #A45A77 } /* Literal.String.Regex */\n",
        ".highlight .s1 { color: #BA2121 } /* Literal.String.Single */\n",
        ".highlight .ss { color: #19177C } /* Literal.String.Symbol */\n",
        ".highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */\n",
@@ -556,19 +550,16 @@
     {
      "data": {
       "text/html": [
-       "<div class=\"highlight\"><pre><span></span><span class=\"n\">FUNC_PREFIX</span><span class=\"w\"> </span><span class=\"kt\">void</span><span class=\"w\"> </span><span class=\"n\">kernel</span><span class=\"p\">(</span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_dst</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
-       "<span class=\"p\">{</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">   </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">0</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">18</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">   </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_dst_00</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_dst</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_src_02</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">60</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_src_0m1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"n\">_data_dst_00</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src_02</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">_data_src_0m1</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">];</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">   </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
-       "<span class=\"p\">}</span><span class=\"w\"></span>\n",
+       "<div class=\"highlight\"><pre><span></span><span class=\"n\">FUNC_PREFIX</span><span class=\"w\"> </span><span class=\"kt\">void</span><span class=\"w\"> </span><span class=\"n\">kernel</span><span class=\"p\">(</span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_dst</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">)</span>\n",
+       "<span class=\"p\">{</span>\n",
+       "<span class=\"w\">   </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">0</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">18</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span>\n",
+       "<span class=\"w\">   </span><span class=\"p\">{</span>\n",
+       "<span class=\"w\">      </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span>\n",
+       "<span class=\"w\">      </span><span class=\"p\">{</span>\n",
+       "<span class=\"w\">         </span><span class=\"n\">_data_dst</span><span class=\"p\">[</span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">[</span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">60</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">[</span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"p\">];</span>\n",
+       "<span class=\"w\">      </span><span class=\"p\">}</span>\n",
+       "<span class=\"w\">   </span><span class=\"p\">}</span>\n",
+       "<span class=\"p\">}</span>\n",
        "</pre></div>\n"
       ],
       "text/plain": [
@@ -576,12 +567,9 @@
        "{\n",
        "   for (int64_t ctr_0 = 0; ctr_0 < 18; ctr_0 += 1)\n",
        "   {\n",
-       "      double * RESTRICT  _data_dst_00 = _data_dst + 30*ctr_0;\n",
-       "      double * RESTRICT _data_src_02 = _data_src + 30*ctr_0 + 60;\n",
-       "      double * RESTRICT _data_src_0m1 = _data_src + 30*ctr_0 - 30;\n",
        "      for (int64_t ctr_1 = 1; ctr_1 < 30; ctr_1 += 1)\n",
        "      {\n",
-       "         _data_dst_00[ctr_1] = _data_src_02[ctr_1] + _data_src_0m1[ctr_1];\n",
+       "         _data_dst[30*ctr_0 + ctr_1] = _data_src[30*ctr_0 + ctr_1 + 60] + _data_src[30*ctr_0 + ctr_1 - 30];\n",
        "      }\n",
        "   }\n",
        "}"
@@ -668,7 +656,7 @@
    "source": [
     "v = ps.fields(\"v(2): double[2D]\")\n",
     "valid_kernel = ps.create_kernel([ps.Assignment(v[0,0](1), 2*v[0,0](1) + 42),\n",
-    "                                 ps.Assignment(v[0,1](0), 2*v[1,0](0) + 42)])"
+    "                                 ps.Assignment(v[0,1](0), 2*v[0,1](0) + 42)])"
    ]
   },
   {
@@ -767,22 +755,22 @@
        "span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\n",
        ".highlight .hll { background-color: #ffffcc }\n",
        ".highlight { background: #f8f8f8; }\n",
-       ".highlight .c { color: #408080; font-style: italic } /* Comment */\n",
+       ".highlight .c { color: #3D7B7B; font-style: italic } /* Comment */\n",
        ".highlight .err { border: 1px solid #FF0000 } /* Error */\n",
        ".highlight .k { color: #008000; font-weight: bold } /* Keyword */\n",
        ".highlight .o { color: #666666 } /* Operator */\n",
-       ".highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\n",
-       ".highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */\n",
-       ".highlight .cp { color: #BC7A00 } /* Comment.Preproc */\n",
-       ".highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\n",
-       ".highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */\n",
-       ".highlight .cs { color: #408080; font-style: italic } /* Comment.Special */\n",
+       ".highlight .ch { color: #3D7B7B; font-style: italic } /* Comment.Hashbang */\n",
+       ".highlight .cm { color: #3D7B7B; font-style: italic } /* Comment.Multiline */\n",
+       ".highlight .cp { color: #9C6500 } /* Comment.Preproc */\n",
+       ".highlight .cpf { color: #3D7B7B; font-style: italic } /* Comment.PreprocFile */\n",
+       ".highlight .c1 { color: #3D7B7B; font-style: italic } /* Comment.Single */\n",
+       ".highlight .cs { color: #3D7B7B; font-style: italic } /* Comment.Special */\n",
        ".highlight .gd { color: #A00000 } /* Generic.Deleted */\n",
        ".highlight .ge { font-style: italic } /* Generic.Emph */\n",
-       ".highlight .gr { color: #FF0000 } /* Generic.Error */\n",
+       ".highlight .gr { color: #E40000 } /* Generic.Error */\n",
        ".highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */\n",
-       ".highlight .gi { color: #00A000 } /* Generic.Inserted */\n",
-       ".highlight .go { color: #888888 } /* Generic.Output */\n",
+       ".highlight .gi { color: #008400 } /* Generic.Inserted */\n",
+       ".highlight .go { color: #717171 } /* Generic.Output */\n",
        ".highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\n",
        ".highlight .gs { font-weight: bold } /* Generic.Strong */\n",
        ".highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\n",
@@ -795,15 +783,15 @@
        ".highlight .kt { color: #B00040 } /* Keyword.Type */\n",
        ".highlight .m { color: #666666 } /* Literal.Number */\n",
        ".highlight .s { color: #BA2121 } /* Literal.String */\n",
-       ".highlight .na { color: #7D9029 } /* Name.Attribute */\n",
+       ".highlight .na { color: #687822 } /* Name.Attribute */\n",
        ".highlight .nb { color: #008000 } /* Name.Builtin */\n",
        ".highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */\n",
        ".highlight .no { color: #880000 } /* Name.Constant */\n",
        ".highlight .nd { color: #AA22FF } /* Name.Decorator */\n",
-       ".highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */\n",
-       ".highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\n",
+       ".highlight .ni { color: #717171; font-weight: bold } /* Name.Entity */\n",
+       ".highlight .ne { color: #CB3F38; font-weight: bold } /* Name.Exception */\n",
        ".highlight .nf { color: #0000FF } /* Name.Function */\n",
-       ".highlight .nl { color: #A0A000 } /* Name.Label */\n",
+       ".highlight .nl { color: #767600 } /* Name.Label */\n",
        ".highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\n",
        ".highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */\n",
        ".highlight .nv { color: #19177C } /* Name.Variable */\n",
@@ -820,11 +808,11 @@
        ".highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */\n",
        ".highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\n",
        ".highlight .s2 { color: #BA2121 } /* Literal.String.Double */\n",
-       ".highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\n",
+       ".highlight .se { color: #AA5D1F; font-weight: bold } /* Literal.String.Escape */\n",
        ".highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */\n",
-       ".highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\n",
+       ".highlight .si { color: #A45A77; font-weight: bold } /* Literal.String.Interpol */\n",
        ".highlight .sx { color: #008000 } /* Literal.String.Other */\n",
-       ".highlight .sr { color: #BB6688 } /* Literal.String.Regex */\n",
+       ".highlight .sr { color: #A45A77 } /* Literal.String.Regex */\n",
        ".highlight .s1 { color: #BA2121 } /* Literal.String.Single */\n",
        ".highlight .ss { color: #19177C } /* Literal.String.Symbol */\n",
        ".highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */\n",
@@ -845,20 +833,17 @@
     {
      "data": {
       "text/html": [
-       "<div class=\"highlight\"><pre><span></span><span class=\"n\">FUNC_PREFIX</span><span class=\"w\"> </span><span class=\"kt\">void</span><span class=\"w\"> </span><span class=\"n\">kernel</span><span class=\"p\">(</span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_dst</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
-       "<span class=\"p\">{</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">   </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">19</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">   </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_src_01</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_src_00</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_dst_00</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_dst</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">29</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">a</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src_00</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">_data_src_01</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">];</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"n\">_data_dst_00</span><span class=\"p\">[</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">a</span><span class=\"o\">*</span><span class=\"mf\">2.0</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">   </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
-       "<span class=\"p\">}</span><span class=\"w\"></span>\n",
+       "<div class=\"highlight\"><pre><span></span><span class=\"n\">FUNC_PREFIX</span><span class=\"w\"> </span><span class=\"kt\">void</span><span class=\"w\"> </span><span class=\"n\">kernel</span><span class=\"p\">(</span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_dst</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">)</span>\n",
+       "<span class=\"p\">{</span>\n",
+       "<span class=\"w\">   </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">19</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span>\n",
+       "<span class=\"w\">   </span><span class=\"p\">{</span>\n",
+       "<span class=\"w\">      </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">29</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span>\n",
+       "<span class=\"w\">      </span><span class=\"p\">{</span>\n",
+       "<span class=\"w\">         </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">a</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">[</span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">_data_src</span><span class=\"p\">[</span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">30</span><span class=\"p\">];</span>\n",
+       "<span class=\"w\">         </span><span class=\"n\">_data_dst</span><span class=\"p\">[</span><span class=\"mi\">30</span><span class=\"o\">*</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">a</span><span class=\"o\">*</span><span class=\"mf\">2.0</span><span class=\"p\">;</span>\n",
+       "<span class=\"w\">      </span><span class=\"p\">}</span>\n",
+       "<span class=\"w\">   </span><span class=\"p\">}</span>\n",
+       "<span class=\"p\">}</span>\n",
        "</pre></div>\n"
       ],
       "text/plain": [
@@ -866,13 +851,10 @@
        "{\n",
        "   for (int64_t ctr_0 = 1; ctr_0 < 19; ctr_0 += 1)\n",
        "   {\n",
-       "      double * RESTRICT _data_src_01 = _data_src + 30*ctr_0 + 30;\n",
-       "      double * RESTRICT _data_src_00 = _data_src + 30*ctr_0;\n",
-       "      double * RESTRICT  _data_dst_00 = _data_dst + 30*ctr_0;\n",
        "      for (int64_t ctr_1 = 1; ctr_1 < 29; ctr_1 += 1)\n",
        "      {\n",
-       "         const double a = _data_src_00[ctr_1 + 1] + _data_src_01[ctr_1];\n",
-       "         _data_dst_00[ctr_1] = a*2.0;\n",
+       "         const double a = _data_src[30*ctr_0 + ctr_1 + 1] + _data_src[30*ctr_0 + ctr_1 + 30];\n",
+       "         _data_dst[30*ctr_0 + ctr_1] = a*2.0;\n",
        "      }\n",
        "   }\n",
        "}"
@@ -912,9 +894,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.9"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
-}
\ No newline at end of file
+ "nbformat_minor": 4
+}
diff --git a/doc/notebooks/06_tutorial_phasefield_dentritic_growth.ipynb b/doc/notebooks/06_tutorial_phasefield_dentritic_growth.ipynb
index 9999bff04668ad95fc7cafae40b87584e93fd83d..406c740472e9177f192715e6c3255e02cc883072 100644
--- a/doc/notebooks/06_tutorial_phasefield_dentritic_growth.ipynb
+++ b/doc/notebooks/06_tutorial_phasefield_dentritic_growth.ipynb
@@ -37,7 +37,8 @@
     "φ_field = dh.add_array('phi', latex_name='φ')\n",
     "φ_field_tmp = dh.add_array('phi_temp', latex_name='φ_temp')\n",
     "φ_delta_field = dh.add_array('phidelta', latex_name='φ_D')\n",
-    "t_field = dh.add_array('T')"
+    "t_field = dh.add_array('T')\n",
+    "t_field_tmp = dh.add_array('T_tmp')"
    ]
   },
   {
@@ -55,7 +56,7 @@
     {
      "data": {
       "text/latex": [
-       "$\\displaystyle \\frac{{φ}_{(0,0)}^{4}}{4} - {φ}_{(0,0)}^{3} \\cdot \\left(\\frac{1}{2} - \\frac{m}{3}\\right) + {φ}_{(0,0)}^{2} \\cdot \\left(\\frac{1}{4} - \\frac{m}{2}\\right) + \\frac{ε^{2} \\left({\\partial_{0} {φ}_{(0,0)}}^{2} + {\\partial_{1} {φ}_{(0,0)}}^{2}\\right)}{2}$"
+       "$\\displaystyle \\frac{{φ}_{(0,0)}^{4}}{4} - {φ}_{(0,0)}^{3} \\left(\\frac{1}{2} - \\frac{m}{3}\\right) + {φ}_{(0,0)}^{2} \\left(\\frac{1}{4} - \\frac{m}{2}\\right) + \\frac{ε^{2} \\left({\\partial_{0} {φ}_{(0,0)}}^{2} + {\\partial_{1} {φ}_{(0,0)}}^{2}\\right)}{2}$"
       ],
       "text/plain": [
        "   4                                  2 ⎛         2            2⎞\n",
@@ -98,14 +99,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 504x288 with 1 Axes>"
+       "<Figure size 700x400 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -133,7 +132,7 @@
     {
      "data": {
       "text/latex": [
-       "$\\displaystyle \\bar{\\epsilon} \\left(δ \\cos{\\left(j \\left(- θ_{0} + \\operatorname{atan}_{2}{\\left({\\partial_{1} {φ}_{(0,0)}},{\\partial_{0} {φ}_{(0,0)}} \\right)}\\right) \\right)} + 1\\right)$"
+       "$\\displaystyle \\bar{\\epsilon} \\left(δ \\cos{\\left(j \\left(- θ_{0} + \\operatorname{atan_{2}}{\\left({\\partial_{1} {φ}_{(0,0)}},{\\partial_{0} {φ}_{(0,0)}} \\right)}\\right) \\right)} + 1\\right)$"
       ],
       "text/plain": [
        "\\bar{\\epsilon}⋅(δ⋅cos(j⋅(-θ₀ + atan2(D(φ[0,0]), D(φ[0,0])))) + 1)"
@@ -181,28 +180,28 @@
     {
      "data": {
       "text/latex": [
-       "$\\displaystyle {φ}_{(0,0)}^{3} - \\frac{{φ}_{(0,0)}^{2} α \\operatorname{atan}{\\left({T}_{(0,0)} γ - T_{eq} γ \\right)}}{\\pi} - \\frac{3 {φ}_{(0,0)}^{2}}{2} + \\frac{{φ}_{(0,0)} α \\operatorname{atan}{\\left({T}_{(0,0)} γ - T_{eq} γ \\right)}}{\\pi} + \\frac{{φ}_{(0,0)}}{2} - \\bar{\\epsilon}^{2} δ^{2} \\cos^{2}{\\left(j θ_{0} - j \\operatorname{atan}_{2}{\\left({\\partial_{1} {φ}_{(0,0)}},{\\partial_{0} {φ}_{(0,0)}} \\right)} \\right)} {\\partial_{0} {\\partial_{0} {φ}_{(0,0)}}} - \\bar{\\epsilon}^{2} δ^{2} \\cos^{2}{\\left(j θ_{0} - j \\operatorname{atan}_{2}{\\left({\\partial_{1} {φ}_{(0,0)}},{\\partial_{0} {φ}_{(0,0)}} \\right)} \\right)} {\\partial_{1} {\\partial_{1} {φ}_{(0,0)}}} - 2 \\bar{\\epsilon}^{2} δ \\cos{\\left(j θ_{0} - j \\operatorname{atan}_{2}{\\left({\\partial_{1} {φ}_{(0,0)}},{\\partial_{0} {φ}_{(0,0)}} \\right)} \\right)} {\\partial_{0} {\\partial_{0} {φ}_{(0,0)}}} - 2 \\bar{\\epsilon}^{2} δ \\cos{\\left(j θ_{0} - j \\operatorname{atan}_{2}{\\left({\\partial_{1} {φ}_{(0,0)}},{\\partial_{0} {φ}_{(0,0)}} \\right)} \\right)} {\\partial_{1} {\\partial_{1} {φ}_{(0,0)}}} - \\bar{\\epsilon}^{2} {\\partial_{0} {\\partial_{0} {φ}_{(0,0)}}} - \\bar{\\epsilon}^{2} {\\partial_{1} {\\partial_{1} {φ}_{(0,0)}}}$"
+       "$\\displaystyle {φ}_{(0,0)}^{3} - \\frac{{φ}_{(0,0)}^{2} α \\operatorname{atan}{\\left({T}_{(0,0)} γ - T_{eq} γ \\right)}}{\\pi} - \\frac{3 {φ}_{(0,0)}^{2}}{2} + \\frac{{φ}_{(0,0)} α \\operatorname{atan}{\\left({T}_{(0,0)} γ - T_{eq} γ \\right)}}{\\pi} + \\frac{{φ}_{(0,0)}}{2} - \\bar{\\epsilon}^{2} δ^{2} \\cos^{2}{\\left(j θ_{0} - j \\operatorname{atan_{2}}{\\left({\\partial_{1} {φ}_{(0,0)}},{\\partial_{0} {φ}_{(0,0)}} \\right)} \\right)} {\\partial_{0} {\\partial_{0} {φ}_{(0,0)}}} - \\bar{\\epsilon}^{2} δ^{2} \\cos^{2}{\\left(j θ_{0} - j \\operatorname{atan_{2}}{\\left({\\partial_{1} {φ}_{(0,0)}},{\\partial_{0} {φ}_{(0,0)}} \\right)} \\right)} {\\partial_{1} {\\partial_{1} {φ}_{(0,0)}}} - 2 \\bar{\\epsilon}^{2} δ \\cos{\\left(j θ_{0} - j \\operatorname{atan_{2}}{\\left({\\partial_{1} {φ}_{(0,0)}},{\\partial_{0} {φ}_{(0,0)}} \\right)} \\right)} {\\partial_{0} {\\partial_{0} {φ}_{(0,0)}}} - 2 \\bar{\\epsilon}^{2} δ \\cos{\\left(j θ_{0} - j \\operatorname{atan_{2}}{\\left({\\partial_{1} {φ}_{(0,0)}},{\\partial_{0} {φ}_{(0,0)}} \\right)} \\right)} {\\partial_{1} {\\partial_{1} {φ}_{(0,0)}}} - \\bar{\\epsilon}^{2} {\\partial_{0} {\\partial_{0} {φ}_{(0,0)}}} - \\bar{\\epsilon}^{2} {\\partial_{1} {\\partial_{1} {φ}_{(0,0)}}}$"
       ],
       "text/plain": [
-       "          2                               2                                                                              \n",
-       "   3   φ_C ⋅α⋅atan(T_C⋅γ - T_eq⋅γ)   3⋅φ_C    φ_C⋅α⋅atan(T_C⋅γ - T_eq⋅γ)   φ_C                 2  2    2                 \n",
-       "φ_C  - ─────────────────────────── - ────── + ────────────────────────── + ─── - \\bar{\\epsilon} ⋅δ ⋅cos (j⋅θ₀ - j⋅atan2(D\n",
-       "                    π                  2                  π                 2                                            \n",
+       "          2                               2                                                                             \n",
+       "   3   φ_C ⋅α⋅atan(T_C⋅γ - T_eq⋅γ)   3⋅φ_C    φ_C⋅α⋅atan(T_C⋅γ - T_eq⋅γ)   φ_C                 2  2    2                \n",
+       "φ_C  - ─────────────────────────── - ────── + ────────────────────────── + ─── - \\bar{\\epsilon} ⋅δ ⋅cos (j⋅θ₀ - j⋅atan2(\n",
+       "                    π                  2                  π                 2                                           \n",
        "\n",
-       "                                                                                                                         \n",
-       "                                                   2  2    2                                                             \n",
-       "(φ[0,0]), D(φ[0,0])))⋅D(D(φ[0,0])) - \\bar{\\epsilon} ⋅δ ⋅cos (j⋅θ₀ - j⋅atan2(D(φ[0,0]), D(φ[0,0])))⋅D(D(φ[0,0])) - 2⋅\\bar{\n",
-       "                                                                                                                         \n",
+       "                                                                                                                        \n",
+       "                                                    2  2    2                                                           \n",
+       "D(φ[0,0]), D(φ[0,0])))⋅D(D(φ[0,0])) - \\bar{\\epsilon} ⋅δ ⋅cos (j⋅θ₀ - j⋅atan2(D(φ[0,0]), D(φ[0,0])))⋅D(D(φ[0,0])) - 2⋅\\ba\n",
+       "                                                                                                                        \n",
        "\n",
-       "                                                                                                                         \n",
-       "         2                                                                            2                                  \n",
-       "\\epsilon} ⋅δ⋅cos(j⋅θ₀ - j⋅atan2(D(φ[0,0]), D(φ[0,0])))⋅D(D(φ[0,0])) - 2⋅\\bar{\\epsilon} ⋅δ⋅cos(j⋅θ₀ - j⋅atan2(D(φ[0,0]), D\n",
-       "                                                                                                                         \n",
+       "                                                                                                                        \n",
+       "           2                                                                            2                               \n",
+       "r{\\epsilon} ⋅δ⋅cos(j⋅θ₀ - j⋅atan2(D(φ[0,0]), D(φ[0,0])))⋅D(D(φ[0,0])) - 2⋅\\bar{\\epsilon} ⋅δ⋅cos(j⋅θ₀ - j⋅atan2(D(φ[0,0])\n",
+       "                                                                                                                        \n",
        "\n",
-       "                                                                                     \n",
-       "                                        2                              2             \n",
-       "(φ[0,0])))⋅D(D(φ[0,0])) - \\bar{\\epsilon} ⋅D(D(φ[0,0])) - \\bar{\\epsilon} ⋅D(D(φ[0,0]))\n",
-       "                                                                                     "
+       "                                                                                        \n",
+       "                                           2                              2             \n",
+       ", D(φ[0,0])))⋅D(D(φ[0,0])) - \\bar{\\epsilon} ⋅D(D(φ[0,0])) - \\bar{\\epsilon} ⋅D(D(φ[0,0]))\n",
+       "                                                                                        "
       ]
      },
      "execution_count": 7,
@@ -235,6 +234,7 @@
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/latex": [
        "$\\displaystyle \\left\\{ \\pi : 3.14159265358979, \\  T_{eq} : 1.0, \\  \\bar{\\epsilon} : 0.01, \\  j : 6, \\  α : 0.9, \\  γ : 10, \\  δ : 0.02, \\  θ_{0} : 0.2, \\  κ : 1.8, \\  τ : 0.0003\\right\\}$"
       ],
@@ -277,7 +277,7 @@
     "\n",
     "temperature_evolution = -ps.fd.transient(T) + ps.fd.diffusion(T, 1) + κ * φ_delta_field.center\n",
     "temperature_eqs = [\n",
-    "    ps.Assignment(T, discretize(temperature_evolution.subs(parameters)))\n",
+    "    ps.Assignment(t_field_tmp.center, discretize(temperature_evolution.subs(parameters)))\n",
     "]"
    ]
   },
@@ -296,7 +296,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "φ_kernel = ps.create_kernel(φ_eqs, cpu_openmp=4, target=dh.default_target).compile()\n",
+    "φ_kernel = ps.create_kernel(φ_eqs, cpu_openmp=True, target=dh.default_target).compile()\n",
     "temperature_kernel = ps.create_kernel(temperature_eqs, target=dh.default_target).compile()"
    ]
   },
@@ -313,9 +313,10 @@
     "    for t in range(steps):\n",
     "        φ_sync()\n",
     "        dh.run_kernel(φ_kernel)\n",
-    "        dh.swap('phi', 'phi_temp')\n",
+    "        dh.swap(φ_field.name, φ_field_tmp.name)\n",
     "        temperature_sync()\n",
     "        dh.run_kernel(temperature_kernel)\n",
+    "        dh.swap(t_field.name, t_field_tmp.name)\n",
     "    dh.all_to_cpu()\n",
     "    return dh.gather_array('phi')\n",
     "    \n",
@@ -358,22 +359,22 @@
        "span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\n",
        ".highlight .hll { background-color: #ffffcc }\n",
        ".highlight { background: #f8f8f8; }\n",
-       ".highlight .c { color: #408080; font-style: italic } /* Comment */\n",
+       ".highlight .c { color: #3D7B7B; font-style: italic } /* Comment */\n",
        ".highlight .err { border: 1px solid #FF0000 } /* Error */\n",
        ".highlight .k { color: #008000; font-weight: bold } /* Keyword */\n",
        ".highlight .o { color: #666666 } /* Operator */\n",
-       ".highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\n",
-       ".highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */\n",
-       ".highlight .cp { color: #BC7A00 } /* Comment.Preproc */\n",
-       ".highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\n",
-       ".highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */\n",
-       ".highlight .cs { color: #408080; font-style: italic } /* Comment.Special */\n",
+       ".highlight .ch { color: #3D7B7B; font-style: italic } /* Comment.Hashbang */\n",
+       ".highlight .cm { color: #3D7B7B; font-style: italic } /* Comment.Multiline */\n",
+       ".highlight .cp { color: #9C6500 } /* Comment.Preproc */\n",
+       ".highlight .cpf { color: #3D7B7B; font-style: italic } /* Comment.PreprocFile */\n",
+       ".highlight .c1 { color: #3D7B7B; font-style: italic } /* Comment.Single */\n",
+       ".highlight .cs { color: #3D7B7B; font-style: italic } /* Comment.Special */\n",
        ".highlight .gd { color: #A00000 } /* Generic.Deleted */\n",
        ".highlight .ge { font-style: italic } /* Generic.Emph */\n",
-       ".highlight .gr { color: #FF0000 } /* Generic.Error */\n",
+       ".highlight .gr { color: #E40000 } /* Generic.Error */\n",
        ".highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */\n",
-       ".highlight .gi { color: #00A000 } /* Generic.Inserted */\n",
-       ".highlight .go { color: #888888 } /* Generic.Output */\n",
+       ".highlight .gi { color: #008400 } /* Generic.Inserted */\n",
+       ".highlight .go { color: #717171 } /* Generic.Output */\n",
        ".highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\n",
        ".highlight .gs { font-weight: bold } /* Generic.Strong */\n",
        ".highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\n",
@@ -386,15 +387,15 @@
        ".highlight .kt { color: #B00040 } /* Keyword.Type */\n",
        ".highlight .m { color: #666666 } /* Literal.Number */\n",
        ".highlight .s { color: #BA2121 } /* Literal.String */\n",
-       ".highlight .na { color: #7D9029 } /* Name.Attribute */\n",
+       ".highlight .na { color: #687822 } /* Name.Attribute */\n",
        ".highlight .nb { color: #008000 } /* Name.Builtin */\n",
        ".highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */\n",
        ".highlight .no { color: #880000 } /* Name.Constant */\n",
        ".highlight .nd { color: #AA22FF } /* Name.Decorator */\n",
-       ".highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */\n",
-       ".highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\n",
+       ".highlight .ni { color: #717171; font-weight: bold } /* Name.Entity */\n",
+       ".highlight .ne { color: #CB3F38; font-weight: bold } /* Name.Exception */\n",
        ".highlight .nf { color: #0000FF } /* Name.Function */\n",
-       ".highlight .nl { color: #A0A000 } /* Name.Label */\n",
+       ".highlight .nl { color: #767600 } /* Name.Label */\n",
        ".highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\n",
        ".highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */\n",
        ".highlight .nv { color: #19177C } /* Name.Variable */\n",
@@ -411,11 +412,11 @@
        ".highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */\n",
        ".highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\n",
        ".highlight .s2 { color: #BA2121 } /* Literal.String.Double */\n",
-       ".highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\n",
+       ".highlight .se { color: #AA5D1F; font-weight: bold } /* Literal.String.Escape */\n",
        ".highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */\n",
-       ".highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\n",
+       ".highlight .si { color: #A45A77; font-weight: bold } /* Literal.String.Interpol */\n",
        ".highlight .sx { color: #008000 } /* Literal.String.Other */\n",
-       ".highlight .sr { color: #BB6688 } /* Literal.String.Regex */\n",
+       ".highlight .sr { color: #A45A77 } /* Literal.String.Regex */\n",
        ".highlight .s1 { color: #BA2121 } /* Literal.String.Single */\n",
        ".highlight .ss { color: #19177C } /* Literal.String.Symbol */\n",
        ".highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */\n",
@@ -436,63 +437,51 @@
     {
      "data": {
       "text/html": [
-       "<div class=\"highlight\"><pre><span></span><span class=\"n\">FUNC_PREFIX</span><span class=\"w\"> </span><span class=\"kt\">void</span><span class=\"w\"> </span><span class=\"n\">kernel</span><span class=\"p\">(</span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"n\">_data_T</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"n\">_data_phi</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_phi_temp</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_phidelta</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
-       "<span class=\"p\">{</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">   </span><span class=\"cp\">#pragma omp parallel num_threads(4)</span>\n",
-       "<span class=\"w\">   </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
+       "<div class=\"highlight\"><pre><span></span><span class=\"n\">FUNC_PREFIX</span><span class=\"w\"> </span><span class=\"kt\">void</span><span class=\"w\"> </span><span class=\"n\">kernel</span><span class=\"p\">(</span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"n\">_data_T</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"n\">_data_phi</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_phi_temp</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_phidelta</span><span class=\"p\">)</span>\n",
+       "<span class=\"p\">{</span>\n",
+       "<span class=\"w\">   </span><span class=\"cp\">#pragma omp parallel</span>\n",
+       "<span class=\"w\">   </span><span class=\"p\">{</span>\n",
        "<span class=\"w\">      </span><span class=\"cp\">#pragma omp for schedule(static)</span>\n",
-       "<span class=\"w\">      </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">301</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_phi_10</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_phi</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_T_10</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_T</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_phi_11</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_phi</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\"> </span><span class=\"n\">_data_phi_1m1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_phi</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_phidelta_10</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_phidelta</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">RESTRICT</span><span class=\"w\">  </span><span class=\"n\">_data_phi_temp_10</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_phi_temp</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">301</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"p\">{</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_0</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">]</span><span class=\"o\">*</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">];</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mf\">954.92965855137209</span><span class=\"o\">*</span><span class=\"n\">atan</span><span class=\"p\">(</span><span class=\"mf\">-10.0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">10.0</span><span class=\"o\">*</span><span class=\"n\">_data_T_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">]);</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_2</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mf\">-2222.2222222222222</span><span class=\"o\">*</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">];</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_3</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">xi_2</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">1111.1111111111111</span><span class=\"o\">*</span><span class=\"n\">_data_phi_11</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">1111.1111111111111</span><span class=\"o\">*</span><span class=\"n\">_data_phi_1m1</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">];</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_4</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">cos</span><span class=\"p\">(</span><span class=\"mf\">-1.2000000000000002</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">6.0</span><span class=\"o\">*</span><span class=\"n\">atan2</span><span class=\"p\">(</span><span class=\"mf\">-16.666666666666668</span><span class=\"o\">*</span><span class=\"n\">_data_phi_1m1</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">16.666666666666668</span><span class=\"o\">*</span><span class=\"n\">_data_phi_11</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">],</span><span class=\"w\"> </span><span class=\"mf\">-16.666666666666668</span><span class=\"o\">*</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">16.666666666666668</span><span class=\"o\">*</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">]));</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_5</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">xi_4</span><span class=\"o\">*</span><span class=\"mf\">0.013333333333333336</span><span class=\"p\">;</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_6</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">xi_2</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">1111.1111111111111</span><span class=\"o\">*</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">1111.1111111111111</span><span class=\"o\">*</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">];</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_7</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mf\">0.00013333333333333334</span><span class=\"o\">*</span><span class=\"p\">(</span><span class=\"n\">xi_4</span><span class=\"o\">*</span><span class=\"n\">xi_4</span><span class=\"p\">);</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">            </span><span class=\"n\">_data_phidelta_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">xi_0</span><span class=\"o\">*</span><span class=\"n\">xi_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">xi_0</span><span class=\"o\">*</span><span class=\"mf\">5000.0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">xi_1</span><span class=\"o\">*</span><span class=\"mf\">-1.0</span><span class=\"o\">*</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">xi_3</span><span class=\"o\">*</span><span class=\"n\">xi_5</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">xi_3</span><span class=\"o\">*</span><span class=\"n\">xi_7</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">xi_5</span><span class=\"o\">*</span><span class=\"n\">xi_6</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">xi_6</span><span class=\"o\">*</span><span class=\"n\">xi_7</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mf\">3148.1481481481483</span><span class=\"o\">*</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mf\">3333.3333333333335</span><span class=\"o\">*</span><span class=\"p\">(</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">]</span><span class=\"o\">*</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">]</span><span class=\"o\">*</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">])</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">370.37037037037038</span><span class=\"o\">*</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">370.37037037037038</span><span class=\"o\">*</span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">370.37037037037038</span><span class=\"o\">*</span><span class=\"n\">_data_phi_11</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">370.37037037037038</span><span class=\"o\">*</span><span class=\"n\">_data_phi_1m1</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">];</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">            </span><span class=\"n\">_data_phi_temp_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mf\">1.0000000000000001e-5</span><span class=\"o\">*</span><span class=\"n\">_data_phidelta_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">_data_phi_10</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"p\">];</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">         </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">      </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
-       "<span class=\"w\">   </span><span class=\"p\">}</span><span class=\"w\"></span>\n",
-       "<span class=\"p\">}</span><span class=\"w\"></span>\n",
+       "<span class=\"w\">      </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">301</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span>\n",
+       "<span class=\"w\">      </span><span class=\"p\">{</span>\n",
+       "<span class=\"w\">         </span><span class=\"k\">for</span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">int64_t</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">&lt;</span><span class=\"w\"> </span><span class=\"mi\">301</span><span class=\"p\">;</span><span class=\"w\"> </span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+=</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">)</span>\n",
+       "<span class=\"w\">         </span><span class=\"p\">{</span>\n",
+       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_0</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">];</span>\n",
+       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_1</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mf\">954.92965855137209</span><span class=\"o\">*</span><span class=\"n\">atan</span><span class=\"p\">(</span><span class=\"mf\">-10.0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">10.0</span><span class=\"o\">*</span><span class=\"n\">_data_T</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">]);</span>\n",
+       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_2</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mf\">-2222.2222222222222</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">];</span>\n",
+       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_3</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">xi_2</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">1111.1111111111111</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">1111.1111111111111</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"p\">];</span>\n",
+       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_4</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">cos</span><span class=\"p\">(</span><span class=\"mf\">-1.2000000000000002</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">6.0</span><span class=\"o\">*</span><span class=\"n\">atan2</span><span class=\"p\">(</span><span class=\"mf\">-16.666666666666668</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">16.666666666666668</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"p\">],</span><span class=\"w\"> </span><span class=\"mf\">-16.666666666666668</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">16.666666666666668</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">]));</span>\n",
+       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_5</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">xi_4</span><span class=\"o\">*</span><span class=\"mf\">0.013333333333333336</span><span class=\"p\">;</span>\n",
+       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_6</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">xi_2</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">1111.1111111111111</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">1111.1111111111111</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">];</span>\n",
+       "<span class=\"w\">            </span><span class=\"k\">const</span><span class=\"w\"> </span><span class=\"kt\">double</span><span class=\"w\"> </span><span class=\"n\">xi_7</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mf\">0.00013333333333333334</span><span class=\"o\">*</span><span class=\"p\">(</span><span class=\"n\">xi_4</span><span class=\"o\">*</span><span class=\"n\">xi_4</span><span class=\"p\">);</span>\n",
+       "<span class=\"w\">            </span><span class=\"n\">_data_phidelta</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">xi_0</span><span class=\"o\">*</span><span class=\"n\">xi_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">xi_0</span><span class=\"o\">*</span><span class=\"mf\">5000.0</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"n\">xi_1</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">xi_3</span><span class=\"o\">*</span><span class=\"n\">xi_5</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">xi_3</span><span class=\"o\">*</span><span class=\"n\">xi_7</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">xi_5</span><span class=\"o\">*</span><span class=\"n\">xi_6</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">xi_6</span><span class=\"o\">*</span><span class=\"n\">xi_7</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mf\">3148.1481481481483</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mf\">3333.3333333333335</span><span class=\"o\">*</span><span class=\"p\">(</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">])</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">370.37037037037038</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">370.37037037037038</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">370.37037037037038</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mf\">370.37037037037038</span><span class=\"o\">*</span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"w\"> </span><span class=\"o\">-</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"p\">];</span>\n",
+       "<span class=\"w\">            </span><span class=\"n\">_data_phi_temp</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mf\">1.0000000000000001e-5</span><span class=\"o\">*</span><span class=\"n\">_data_phidelta</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">]</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"n\">_data_phi</span><span class=\"p\">[</span><span class=\"n\">ctr_0</span><span class=\"w\"> </span><span class=\"o\">+</span><span class=\"w\"> </span><span class=\"mi\">302</span><span class=\"o\">*</span><span class=\"n\">ctr_1</span><span class=\"p\">];</span>\n",
+       "<span class=\"w\">         </span><span class=\"p\">}</span>\n",
+       "<span class=\"w\">      </span><span class=\"p\">}</span>\n",
+       "<span class=\"w\">   </span><span class=\"p\">}</span>\n",
+       "<span class=\"p\">}</span>\n",
        "</pre></div>\n"
       ],
       "text/plain": [
        "FUNC_PREFIX void kernel(double * RESTRICT const _data_T, double * RESTRICT const _data_phi, double * RESTRICT  _data_phi_temp, double * RESTRICT  _data_phidelta)\n",
        "{\n",
-       "   #pragma omp parallel num_threads(4)\n",
+       "   #pragma omp parallel\n",
        "   {\n",
        "      #pragma omp for schedule(static)\n",
        "      for (int64_t ctr_1 = 1; ctr_1 < 301; ctr_1 += 1)\n",
        "      {\n",
-       "         double * RESTRICT _data_phi_10 = _data_phi + 302*ctr_1;\n",
-       "         double * RESTRICT _data_T_10 = _data_T + 302*ctr_1;\n",
-       "         double * RESTRICT _data_phi_11 = _data_phi + 302*ctr_1 + 302;\n",
-       "         double * RESTRICT _data_phi_1m1 = _data_phi + 302*ctr_1 - 302;\n",
-       "         double * RESTRICT  _data_phidelta_10 = _data_phidelta + 302*ctr_1;\n",
-       "         double * RESTRICT  _data_phi_temp_10 = _data_phi_temp + 302*ctr_1;\n",
        "         for (int64_t ctr_0 = 1; ctr_0 < 301; ctr_0 += 1)\n",
        "         {\n",
-       "            const double xi_0 = _data_phi_10[ctr_0]*_data_phi_10[ctr_0];\n",
-       "            const double xi_1 = 954.92965855137209*atan(-10.0 + 10.0*_data_T_10[ctr_0]);\n",
-       "            const double xi_2 = -2222.2222222222222*_data_phi_10[ctr_0];\n",
-       "            const double xi_3 = xi_2 + 1111.1111111111111*_data_phi_11[ctr_0] + 1111.1111111111111*_data_phi_1m1[ctr_0];\n",
-       "            const double xi_4 = cos(-1.2000000000000002 + 6.0*atan2(-16.666666666666668*_data_phi_1m1[ctr_0] + 16.666666666666668*_data_phi_11[ctr_0], -16.666666666666668*_data_phi_10[ctr_0 - 1] + 16.666666666666668*_data_phi_10[ctr_0 + 1]));\n",
+       "            const double xi_0 = _data_phi[ctr_0 + 302*ctr_1]*_data_phi[ctr_0 + 302*ctr_1];\n",
+       "            const double xi_1 = 954.92965855137209*atan(-10.0 + 10.0*_data_T[ctr_0 + 302*ctr_1]);\n",
+       "            const double xi_2 = -2222.2222222222222*_data_phi[ctr_0 + 302*ctr_1];\n",
+       "            const double xi_3 = xi_2 + 1111.1111111111111*_data_phi[ctr_0 + 302*ctr_1 + 302] + 1111.1111111111111*_data_phi[ctr_0 + 302*ctr_1 - 302];\n",
+       "            const double xi_4 = cos(-1.2000000000000002 + 6.0*atan2(-16.666666666666668*_data_phi[ctr_0 + 302*ctr_1 - 302] + 16.666666666666668*_data_phi[ctr_0 + 302*ctr_1 + 302], -16.666666666666668*_data_phi[ctr_0 + 302*ctr_1 - 1] + 16.666666666666668*_data_phi[ctr_0 + 302*ctr_1 + 1]));\n",
        "            const double xi_5 = xi_4*0.013333333333333336;\n",
-       "            const double xi_6 = xi_2 + 1111.1111111111111*_data_phi_10[ctr_0 + 1] + 1111.1111111111111*_data_phi_10[ctr_0 - 1];\n",
+       "            const double xi_6 = xi_2 + 1111.1111111111111*_data_phi[ctr_0 + 302*ctr_1 + 1] + 1111.1111111111111*_data_phi[ctr_0 + 302*ctr_1 - 1];\n",
        "            const double xi_7 = 0.00013333333333333334*(xi_4*xi_4);\n",
-       "            _data_phidelta_10[ctr_0] = xi_0*xi_1 + xi_0*5000.0 + xi_1*-1.0*_data_phi_10[ctr_0] + xi_3*xi_5 + xi_3*xi_7 + xi_5*xi_6 + xi_6*xi_7 - 3148.1481481481483*_data_phi_10[ctr_0] - 3333.3333333333335*(_data_phi_10[ctr_0]*_data_phi_10[ctr_0]*_data_phi_10[ctr_0]) + 370.37037037037038*_data_phi_10[ctr_0 + 1] + 370.37037037037038*_data_phi_10[ctr_0 - 1] + 370.37037037037038*_data_phi_11[ctr_0] + 370.37037037037038*_data_phi_1m1[ctr_0];\n",
-       "            _data_phi_temp_10[ctr_0] = 1.0000000000000001e-5*_data_phidelta_10[ctr_0] + _data_phi_10[ctr_0];\n",
+       "            _data_phidelta[ctr_0 + 302*ctr_1] = xi_0*xi_1 + xi_0*5000.0 - xi_1*_data_phi[ctr_0 + 302*ctr_1] + xi_3*xi_5 + xi_3*xi_7 + xi_5*xi_6 + xi_6*xi_7 - 3148.1481481481483*_data_phi[ctr_0 + 302*ctr_1] - 3333.3333333333335*(_data_phi[ctr_0 + 302*ctr_1]*_data_phi[ctr_0 + 302*ctr_1]*_data_phi[ctr_0 + 302*ctr_1]) + 370.37037037037038*_data_phi[ctr_0 + 302*ctr_1 + 1] + 370.37037037037038*_data_phi[ctr_0 + 302*ctr_1 + 302] + 370.37037037037038*_data_phi[ctr_0 + 302*ctr_1 - 1] + 370.37037037037038*_data_phi[ctr_0 + 302*ctr_1 - 302];\n",
+       "            _data_phi_temp[ctr_0 + 302*ctr_1] = 1.0000000000000001e-5*_data_phidelta[ctr_0 + 302*ctr_1] + _data_phi[ctr_0 + 302*ctr_1];\n",
        "         }\n",
        "      }\n",
        "   }\n",
@@ -519,6 +508,7 @@
       "    Name|      Inner (min/max)|     WithGl (min/max)\n",
       "----------------------------------------------------\n",
       "       T|            (  0,  0)|            (  0,  0)\n",
+      "   T_tmp|            (  0,  0)|            (  0,  0)\n",
       "     phi|            (  0,  1)|            (  0,  1)\n",
       "phi_temp|            (  0,  0)|            (  0,  0)\n",
       "phidelta|            (  0,  0)|            (  0,  0)\n",
@@ -527,14 +517,12 @@
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<Figure size 1152x432 with 6 Axes>"
+       "<Figure size 1600x600 with 6 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -549,24 +537,7 @@
    "cell_type": "code",
    "execution_count": 14,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<video controls width=\"80%\">\n",
-       " <source 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\" type=\"video/mp4\">\n",
-       " Your browser does not support the video tag.\n",
-       "</video>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "result = None\n",
     "if 'is_test_run' not in globals():\n",
@@ -602,7 +573,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.5"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,
diff --git a/doc/notebooks/demo_assignment_collection.ipynb b/doc/notebooks/demo_assignment_collection.ipynb
index 6a5c85a2d83a2abfbf81c513e8fbe81b43287303..c54b27324177e1eaf5552b0201ecdea04ad44ab0 100644
--- a/doc/notebooks/demo_assignment_collection.ipynb
+++ b/doc/notebooks/demo_assignment_collection.ipynb
@@ -40,10 +40,10 @@
     {
      "data": {
       "text/html": [
-       "<div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{1}} \\leftarrow {{f}_{E}^{0}} \\left(a^{2} - c\\right) + {{f}_{N}^{0}} \\left(a^{2} + b\\right) + {{f}_{S}^{0}} a^{2} + {{f}_{W}^{0}} \\left(a^{2} - 2 c\\right)$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{0}} \\leftarrow {{f}_{E}^{0}} \\left(c^{2} - c\\right) + {{f}_{N}^{0}} \\left(b + c^{2}\\right) + {{f}_{S}^{0}} \\left(- a^{2} + c^{2}\\right) + {{f}_{W}^{0}} \\left(c^{2} - 2 c\\right)$$</td>  </tr> </table>"
+       "<div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{1} \\leftarrow_{} {f}_{(1,0)}^{0} \\left(a^{2} - c\\right) + {f}_{(0,1)}^{0} \\left(a^{2} + b\\right) + {f}_{(0,-1)}^{0} a^{2} + {f}_{(-1,0)}^{0} \\left(a^{2} - 2 c\\right)$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{0} \\leftarrow_{} {f}_{(1,0)}^{0} \\left(c^{2} - c\\right) + {f}_{(0,1)}^{0} \\left(b + c^{2}\\right) + {f}_{(0,-1)}^{0} \\left(- a^{2} + c^{2}\\right) + {f}_{(-1,0)}^{0} \\left(c^{2} - 2 c\\right)$$</td>  </tr> </table>"
       ],
       "text/plain": [
-       "Equation Collection for f_C^1,f_C^0"
+       "AssignmentCollection: g_C^0, g_C^1 <- f(f_N^0, b, f_S^0, f_E^0, a, f_W^0, c)"
       ]
      },
      "execution_count": 2,
@@ -54,13 +54,14 @@
    "source": [
     "a,b,c = sp.symbols(\"a b c\")\n",
     "f = ps.fields(\"f(2) : [2D]\")\n",
+    "g = ps.fields(\"g(2) : [2D]\")\n",
     "\n",
-    "a1 = ps.Assignment(f[0,0](1), (a**2 +b) * f[0,1] + \\\n",
+    "a1 = ps.Assignment(g[0,0](1), (a**2 +b) * f[0,1] + \\\n",
     "                  (a**2 - c) * f[1,0] + \\\n",
     "                  (a**2 - 2*c) * f[-1,0] + \\\n",
     "                  (a**2) * f[0, -1])\n",
     "\n",
-    "a2 = ps.Assignment(f[0,0](0), (c**2 +b) * f[0,1] + \\\n",
+    "a2 = ps.Assignment(g[0,0](0), (c**2 +b) * f[0,1] + \\\n",
     "                  (c**2 - c) * f[1,0] + \\\n",
     "                  (c**2 - 2*c) * f[-1,0] + \\\n",
     "                  (c**2 - a**2) * f[0, -1])\n",
@@ -95,10 +96,10 @@
     {
      "data": {
       "text/html": [
-       "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{0} \\leftarrow - {{f}_{E}^{0}} c + {{f}_{N}^{0}} b - 2 {{f}_{W}^{0}} c$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{1} \\leftarrow a^{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{2} \\leftarrow {{f}_{S}^{0}} \\xi_{1}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{3} \\leftarrow c^{2}$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{1}} \\leftarrow {{f}_{E}^{0}} \\xi_{1} + {{f}_{N}^{0}} \\xi_{1} + {{f}_{W}^{0}} \\xi_{1} + \\xi_{0} + \\xi_{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{0}} \\leftarrow {{f}_{E}^{0}} \\xi_{3} + {{f}_{N}^{0}} \\xi_{3} + {{f}_{S}^{0}} \\xi_{3} + {{f}_{W}^{0}} \\xi_{3} + \\xi_{0} - \\xi_{2}$$</td>  </tr> </table>"
+       "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{0} \\leftarrow_{} a^{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{1} \\leftarrow_{} {f}_{(0,-1)}^{0} \\xi_{0}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{2} \\leftarrow_{} - {f}_{(1,0)}^{0} c + {f}_{(0,1)}^{0} b - 2 {f}_{(-1,0)}^{0} c$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{3} \\leftarrow_{} c^{2}$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{1} \\leftarrow_{} {f}_{(1,0)}^{0} \\xi_{0} + {f}_{(0,1)}^{0} \\xi_{0} + {f}_{(-1,0)}^{0} \\xi_{0} + \\xi_{1} + \\xi_{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{0} \\leftarrow_{} {f}_{(1,0)}^{0} \\xi_{3} + {f}_{(0,1)}^{0} \\xi_{3} + {f}_{(0,-1)}^{0} \\xi_{3} + {f}_{(-1,0)}^{0} \\xi_{3} - \\xi_{1} + \\xi_{2}$$</td>  </tr> </table>"
       ],
       "text/plain": [
-       "Equation Collection for f_C^1,f_C^0"
+       "AssignmentCollection: g_C^0, g_C^1 <- f(f_N^0, b, f_S^0, f_E^0, a, f_W^0, c)"
       ]
      },
      "execution_count": 4,
@@ -128,12 +129,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/latex": [
-       "$$\\left\\{{{f}_{E}^{0}}, {{f}_{N}^{0}}, {{f}_{S}^{0}}, {{f}_{W}^{0}}, a, b, c\\right\\}$$"
+       "$\\displaystyle \\left\\{{f}_{(1,0)}^{0}, {f}_{(0,1)}^{0}, {f}_{(0,-1)}^{0}, {f}_{(-1,0)}^{0}, a, b, c\\right\\}$"
       ],
       "text/plain": [
-       "set([f_E__0, f_N__0, f_S__0, f_W__0, a, b, c])"
+       "{f_E__0, f_N__0, f_S__0, f_W__0, a, b, c}"
       ]
      },
      "execution_count": 5,
@@ -152,12 +153,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/latex": [
-       "$$\\left\\{{{f}_{C}^{0}}, {{f}_{C}^{1}}, \\xi_{0}, \\xi_{1}, \\xi_{2}, \\xi_{3}\\right\\}$$"
+       "$\\displaystyle \\left\\{{g}_{(0,0)}^{0}, {g}_{(0,0)}^{1}, \\xi_{0}, \\xi_{1}, \\xi_{2}, \\xi_{3}\\right\\}$"
       ],
       "text/plain": [
-       "set([f_C__0, f_C__1, ξ₀, ξ₁, ξ₂, ξ₃])"
+       "{g_C__0, g_C__1, ξ₀, ξ₁, ξ₂, ξ₃}"
       ]
      },
      "execution_count": 6,
@@ -176,12 +177,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/latex": [
-       "$$\\left\\{{{f}_{C}^{0}}, {{f}_{C}^{1}}\\right\\}$$"
+       "$\\displaystyle \\left\\{{g}_{(0,0)}^{0}, {g}_{(0,0)}^{1}\\right\\}$"
       ],
       "text/plain": [
-       "set([f_C__0, f_C__1])"
+       "{g_C__0, g_C__1}"
       ]
      },
      "execution_count": 7,
@@ -208,10 +209,10 @@
     {
      "data": {
       "text/html": [
-       "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{0} \\leftarrow - {{f}_{E}^{0}} c + {{f}_{N}^{0}} b - 2 {{f}_{W}^{0}} c$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{1} \\leftarrow a^{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{2} \\leftarrow {{f}_{S}^{0}} \\xi_{1}$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{1}} \\leftarrow {{f}_{E}^{0}} \\xi_{1} + {{f}_{N}^{0}} \\xi_{1} + {{f}_{W}^{0}} \\xi_{1} + \\xi_{0} + \\xi_{2}$$</td>  </tr> </table>"
+       "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{0} \\leftarrow_{} a^{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{1} \\leftarrow_{} {f}_{(0,-1)}^{0} \\xi_{0}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{2} \\leftarrow_{} - {f}_{(1,0)}^{0} c + {f}_{(0,1)}^{0} b - 2 {f}_{(-1,0)}^{0} c$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{1} \\leftarrow_{} {f}_{(1,0)}^{0} \\xi_{0} + {f}_{(0,1)}^{0} \\xi_{0} + {f}_{(-1,0)}^{0} \\xi_{0} + \\xi_{1} + \\xi_{2}$$</td>  </tr> </table>"
       ],
       "text/plain": [
-       "Equation Collection for f_C^1"
+       "AssignmentCollection: g_C^1, <- f(f_N^0, b, f_S^0, f_E^0, a, f_W^0, c)"
       ]
      },
      "execution_count": 8,
@@ -220,8 +221,8 @@
     }
    ],
    "source": [
-    "ac_f0 = ac_cse.new_filtered([f(0)])\n",
-    "ac_f1 = ac_cse.new_filtered([f(1)])\n",
+    "ac_f0 = ac_cse.new_filtered([g(0)])\n",
+    "ac_f1 = ac_cse.new_filtered([g(1)])\n",
     "ac_f1"
    ]
   },
@@ -242,10 +243,10 @@
     {
      "data": {
       "text/html": [
-       "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{0} \\leftarrow - {{f}_{E}^{0}} c + {{f}_{N}^{0}} b - 2 {{f}_{W}^{0}} c$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{1} \\leftarrow a^{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{2} \\leftarrow {{f}_{S}^{0}} \\xi_{1}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{3} \\leftarrow c^{2}$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{0}} \\leftarrow {{f}_{E}^{0}} \\xi_{3} + {{f}_{N}^{0}} \\xi_{3} + {{f}_{S}^{0}} \\xi_{3} + {{f}_{W}^{0}} \\xi_{3} + \\xi_{0} - \\xi_{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{1}} \\leftarrow {{f}_{E}^{0}} \\xi_{1} + {{f}_{N}^{0}} \\xi_{1} + {{f}_{W}^{0}} \\xi_{1} + \\xi_{0} + \\xi_{2}$$</td>  </tr> </table>"
+       "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{0} \\leftarrow_{} a^{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{1} \\leftarrow_{} {f}_{(0,-1)}^{0} \\xi_{0}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{2} \\leftarrow_{} - {f}_{(1,0)}^{0} c + {f}_{(0,1)}^{0} b - 2 {f}_{(-1,0)}^{0} c$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{3} \\leftarrow_{} c^{2}$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{0} \\leftarrow_{} {f}_{(1,0)}^{0} \\xi_{3} + {f}_{(0,1)}^{0} \\xi_{3} + {f}_{(0,-1)}^{0} \\xi_{3} + {f}_{(-1,0)}^{0} \\xi_{3} - \\xi_{1} + \\xi_{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{1} \\leftarrow_{} {f}_{(1,0)}^{0} \\xi_{0} + {f}_{(0,1)}^{0} \\xi_{0} + {f}_{(-1,0)}^{0} \\xi_{0} + \\xi_{1} + \\xi_{2}$$</td>  </tr> </table>"
       ],
       "text/plain": [
-       "Equation Collection for f_C^0,f_C^1"
+       "AssignmentCollection: g_C^0, g_C^1 <- f(f_N^0, b, f_S^0, f_E^0, a, f_W^0, c)"
       ]
      },
      "execution_count": 9,
@@ -272,10 +273,10 @@
     {
      "data": {
       "text/html": [
-       "<div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{0}} \\leftarrow {{f}_{E}^{0}} c^{2} - {{f}_{E}^{0}} c + {{f}_{N}^{0}} b + {{f}_{N}^{0}} c^{2} - {{f}_{S}^{0}} a^{2} + {{f}_{S}^{0}} c^{2} + {{f}_{W}^{0}} c^{2} - 2 {{f}_{W}^{0}} c$$</td>  </tr> </table>"
+       "<div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{0} \\leftarrow_{} {f}_{(1,0)}^{0} c^{2} - {f}_{(1,0)}^{0} c + {f}_{(0,1)}^{0} b + {f}_{(0,1)}^{0} c^{2} - {f}_{(0,-1)}^{0} a^{2} + {f}_{(0,-1)}^{0} c^{2} + {f}_{(-1,0)}^{0} c^{2} - 2 {f}_{(-1,0)}^{0} c$$</td>  </tr> </table>"
       ],
       "text/plain": [
-       "Equation Collection for f_C^0"
+       "AssignmentCollection: g_C^0, <- f(f_N^0, b, f_S^0, f_E^0, a, f_W^0, c)"
       ]
      },
      "execution_count": 10,
@@ -302,12 +303,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/latex": [
-       "$$\\left \\{ {{f}_{C}^{0}} : 75, \\quad {{f}_{C}^{1}} : -17\\right \\}$$"
+       "$\\displaystyle \\left\\{ {g}_{(0,0)}^{0} : 75, \\  {g}_{(0,0)}^{1} : -17\\right\\}$"
       ],
       "text/plain": [
-       "{f_C__0: 75, f_C__1: -17}"
+       "{g_C__0: 75, g_C__1: -17}"
       ]
      },
      "execution_count": 11,
@@ -374,10 +375,10 @@
     {
      "data": {
       "text/html": [
-       "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{0} \\leftarrow - {{f}_{E}^{0}} c + {{f}_{N}^{0}} b - 2 {{f}_{W}^{0}} c$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{1} \\leftarrow a^{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{2} \\leftarrow {{f}_{S}^{0}} \\xi_{1}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{3} \\leftarrow c^{2}$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{1}} \\leftarrow {{f}_{E}^{0}} \\xi_{1} + {{f}_{N}^{0}} \\xi_{1} + {{f}_{W}^{0}} \\xi_{1} + \\xi_{0} + \\xi_{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{0}} \\leftarrow {{f}_{E}^{0}} \\xi_{3} + {{f}_{N}^{0}} \\xi_{3} + {{f}_{S}^{0}} \\xi_{3} + {{f}_{W}^{0}} \\xi_{3} + \\xi_{0} - \\xi_{2}$$</td>  </tr> </table>"
+       "<div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{0} \\leftarrow_{} a^{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{1} \\leftarrow_{} {f}_{(0,-1)}^{0} \\xi_{0}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{2} \\leftarrow_{} - {f}_{(1,0)}^{0} c + {f}_{(0,1)}^{0} b - 2 {f}_{(-1,0)}^{0} c$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{3} \\leftarrow_{} c^{2}$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{1} \\leftarrow_{} {f}_{(1,0)}^{0} \\xi_{0} + {f}_{(0,1)}^{0} \\xi_{0} + {f}_{(-1,0)}^{0} \\xi_{0} + \\xi_{1} + \\xi_{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{0} \\leftarrow_{} {f}_{(1,0)}^{0} \\xi_{3} + {f}_{(0,1)}^{0} \\xi_{3} + {f}_{(0,-1)}^{0} \\xi_{3} + {f}_{(-1,0)}^{0} \\xi_{3} - \\xi_{1} + \\xi_{2}$$</td>  </tr> </table>"
       ],
       "text/plain": [
-       "Equation Collection for f_C^1,f_C^0"
+       "AssignmentCollection: g_C^0, g_C^1 <- f(f_N^0, b, f_S^0, f_E^0, a, f_W^0, c)"
       ]
      },
      "execution_count": 14,
@@ -405,10 +406,10 @@
     {
      "data": {
       "text/html": [
-       "<table style=\"border:none\"><tr><th>Name</th><th>Runtime</th><th>Adds</th><th>Muls</th><th>Divs</th><th>Total</th></tr><tr><td>OriginalTerm</td><td>-</td> <td>13</td> <td>19</td> <td>0</td>  <td>32</td> </tr><tr><td>expand</td><td>0.11 ms</td> <td>13</td> <td>26</td> <td>0</td>  <td>39</td> </tr><tr><td>sympy_cse</td><td>3.25 ms</td> <td>11</td> <td>14</td> <td>0</td>  <td>25</td> </tr></table>"
+       "<table style=\"border:none\"><tr><th>Name</th><th>Runtime</th><th>Adds</th><th>Muls</th><th>Divs</th><th>Total</th></tr><tr><td>OriginalTerm</td><td>-</td> <td>13</td> <td>19</td> <td>0</td>  <td>32</td> </tr><tr><td>expand</td><td>0.03 ms</td> <td>13</td> <td>26</td> <td>0</td>  <td>39</td> </tr><tr><td>sympy_cse</td><td>0.52 ms</td> <td>11</td> <td>14</td> <td>0</td>  <td>25</td> </tr></table>"
       ],
       "text/plain": [
-       "<pystencils.simp.simplificationstrategy.SimplificationStrategy.create_simplification_report.<locals>.Report at 0x7f9be404fda0>"
+       "<pystencils.simp.simplificationstrategy.SimplificationStrategy.create_simplification_report.<locals>.Report at 0x147de3e90>"
       ]
      },
      "execution_count": 15,
@@ -435,10 +436,10 @@
     {
      "data": {
       "text/html": [
-       "<h5 style=\"padding-bottom:10px\">Initial Version</h5> <div style=\"padding-left:20px;\"><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{1}} \\leftarrow {{f}_{E}^{0}} \\left(a^{2} - c\\right) + {{f}_{N}^{0}} \\left(a^{2} + b\\right) + {{f}_{S}^{0}} a^{2} + {{f}_{W}^{0}} \\left(a^{2} - 2 c\\right)$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{0}} \\leftarrow {{f}_{E}^{0}} \\left(c^{2} - c\\right) + {{f}_{N}^{0}} \\left(b + c^{2}\\right) + {{f}_{S}^{0}} \\left(- a^{2} + c^{2}\\right) + {{f}_{W}^{0}} \\left(c^{2} - 2 c\\right)$$</td>  </tr> </table></div><h5 style=\"padding-bottom:10px\">expand</h5> <div style=\"padding-left:20px;\"><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{1}} \\leftarrow {{f}_{E}^{0}} a^{2} - {{f}_{E}^{0}} c + {{f}_{N}^{0}} a^{2} + {{f}_{N}^{0}} b + {{f}_{S}^{0}} a^{2} + {{f}_{W}^{0}} a^{2} - 2 {{f}_{W}^{0}} c$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{0}} \\leftarrow {{f}_{E}^{0}} c^{2} - {{f}_{E}^{0}} c + {{f}_{N}^{0}} b + {{f}_{N}^{0}} c^{2} - {{f}_{S}^{0}} a^{2} + {{f}_{S}^{0}} c^{2} + {{f}_{W}^{0}} c^{2} - 2 {{f}_{W}^{0}} c$$</td>  </tr> </table></div><h5 style=\"padding-bottom:10px\">sympy_cse</h5> <div style=\"padding-left:20px;\"><div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{0} \\leftarrow - {{f}_{E}^{0}} c + {{f}_{N}^{0}} b - 2 {{f}_{W}^{0}} c$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{1} \\leftarrow a^{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{2} \\leftarrow {{f}_{S}^{0}} \\xi_{1}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{3} \\leftarrow c^{2}$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{1}} \\leftarrow {{f}_{E}^{0}} \\xi_{1} + {{f}_{N}^{0}} \\xi_{1} + {{f}_{W}^{0}} \\xi_{1} + \\xi_{0} + \\xi_{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${{f}_{C}^{0}} \\leftarrow {{f}_{E}^{0}} \\xi_{3} + {{f}_{N}^{0}} \\xi_{3} + {{f}_{S}^{0}} \\xi_{3} + {{f}_{W}^{0}} \\xi_{3} + \\xi_{0} - \\xi_{2}$$</td>  </tr> </table></div>"
+       "<h5 style=\"padding-bottom:10px\">Initial Version</h5> <div style=\"padding-left:20px;\"><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{1} \\leftarrow_{} {f}_{(1,0)}^{0} \\left(a^{2} - c\\right) + {f}_{(0,1)}^{0} \\left(a^{2} + b\\right) + {f}_{(0,-1)}^{0} a^{2} + {f}_{(-1,0)}^{0} \\left(a^{2} - 2 c\\right)$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{0} \\leftarrow_{} {f}_{(1,0)}^{0} \\left(c^{2} - c\\right) + {f}_{(0,1)}^{0} \\left(b + c^{2}\\right) + {f}_{(0,-1)}^{0} \\left(- a^{2} + c^{2}\\right) + {f}_{(-1,0)}^{0} \\left(c^{2} - 2 c\\right)$$</td>  </tr> </table></div><h5 style=\"padding-bottom:10px\">expand</h5> <div style=\"padding-left:20px;\"><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{1} \\leftarrow_{} {f}_{(1,0)}^{0} a^{2} - {f}_{(1,0)}^{0} c + {f}_{(0,1)}^{0} a^{2} + {f}_{(0,1)}^{0} b + {f}_{(0,-1)}^{0} a^{2} + {f}_{(-1,0)}^{0} a^{2} - 2 {f}_{(-1,0)}^{0} c$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{0} \\leftarrow_{} {f}_{(1,0)}^{0} c^{2} - {f}_{(1,0)}^{0} c + {f}_{(0,1)}^{0} b + {f}_{(0,1)}^{0} c^{2} - {f}_{(0,-1)}^{0} a^{2} + {f}_{(0,-1)}^{0} c^{2} + {f}_{(-1,0)}^{0} c^{2} - 2 {f}_{(-1,0)}^{0} c$$</td>  </tr> </table></div><h5 style=\"padding-bottom:10px\">sympy_cse</h5> <div style=\"padding-left:20px;\"><div>Subexpressions:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{0} \\leftarrow_{} a^{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{1} \\leftarrow_{} {f}_{(0,-1)}^{0} \\xi_{0}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{2} \\leftarrow_{} - {f}_{(1,0)}^{0} c + {f}_{(0,1)}^{0} b - 2 {f}_{(-1,0)}^{0} c$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$$\\xi_{3} \\leftarrow_{} c^{2}$$</td>  </tr> </table><div>Main Assignments:</div><table style=\"border:none; width: 100%; \"><tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{1} \\leftarrow_{} {f}_{(1,0)}^{0} \\xi_{0} + {f}_{(0,1)}^{0} \\xi_{0} + {f}_{(-1,0)}^{0} \\xi_{0} + \\xi_{1} + \\xi_{2}$$</td>  </tr> <tr style=\"border:none\"> <td style=\"border:none\">$${g}_{(0,0)}^{0} \\leftarrow_{} {f}_{(1,0)}^{0} \\xi_{3} + {f}_{(0,1)}^{0} \\xi_{3} + {f}_{(0,-1)}^{0} \\xi_{3} + {f}_{(-1,0)}^{0} \\xi_{3} - \\xi_{1} + \\xi_{2}$$</td>  </tr> </table></div>"
       ],
       "text/plain": [
-       "<pystencils.simp.simplificationstrategy.SimplificationStrategy.show_intermediate_results.<locals>.IntermediateResults at 0x7f9bad688dd8>"
+       "<pystencils.simp.simplificationstrategy.SimplificationStrategy.show_intermediate_results.<locals>.IntermediateResults at 0x147e09c90>"
       ]
      },
      "execution_count": 16,
@@ -459,31 +460,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<h5 style=\"padding-bottom:10px\">Initial Version</h5> <div style=\"padding-left:20px;\">$${{f}_{C}^{1}} \\leftarrow {{f}_{E}^{0}} \\left(a^{2} - c\\right) + {{f}_{N}^{0}} \\left(a^{2} + b\\right) + {{f}_{S}^{0}} a^{2} + {{f}_{W}^{0}} \\left(a^{2} - 2 c\\right)$$</div><h5 style=\"padding-bottom:10px\">expand</h5> <div style=\"padding-left:20px;\">$${{f}_{C}^{1}} \\leftarrow {{f}_{E}^{0}} a^{2} - {{f}_{E}^{0}} c + {{f}_{N}^{0}} a^{2} + {{f}_{N}^{0}} b + {{f}_{S}^{0}} a^{2} + {{f}_{W}^{0}} a^{2} - 2 {{f}_{W}^{0}} c$$</div><h5 style=\"padding-bottom:10px\">sympy_cse</h5> <div style=\"padding-left:20px;\">$${{f}_{C}^{1}} \\leftarrow {{f}_{E}^{0}} \\xi_{1} + {{f}_{N}^{0}} \\xi_{1} + {{f}_{W}^{0}} \\xi_{1} + \\xi_{0} + \\xi_{2}$$</div>"
+       "<h5 style=\"padding-bottom:10px\">Initial Version</h5> <div style=\"padding-left:20px;\">$${g}_{(0,0)}^{1} \\leftarrow_{} {f}_{(1,0)}^{0} \\left(a^{2} - c\\right) + {f}_{(0,1)}^{0} \\left(a^{2} + b\\right) + {f}_{(0,-1)}^{0} a^{2} + {f}_{(-1,0)}^{0} \\left(a^{2} - 2 c\\right)$$</div><h5 style=\"padding-bottom:10px\">expand</h5> <div style=\"padding-left:20px;\">$${g}_{(0,0)}^{1} \\leftarrow_{} {f}_{(1,0)}^{0} a^{2} - {f}_{(1,0)}^{0} c + {f}_{(0,1)}^{0} a^{2} + {f}_{(0,1)}^{0} b + {f}_{(0,-1)}^{0} a^{2} + {f}_{(-1,0)}^{0} a^{2} - 2 {f}_{(-1,0)}^{0} c$$</div><h5 style=\"padding-bottom:10px\">sympy_cse</h5> <div style=\"padding-left:20px;\">$${g}_{(0,0)}^{1} \\leftarrow_{} {f}_{(1,0)}^{0} \\xi_{0} + {f}_{(0,1)}^{0} \\xi_{0} + {f}_{(-1,0)}^{0} \\xi_{0} + \\xi_{1} + \\xi_{2}$$</div>"
       ],
       "text/plain": [
-       "<pystencils.simp.simplificationstrategy.SimplificationStrategy.show_intermediate_results.<locals>.IntermediateResults at 0x7f9bad688b00>"
+       "<pystencils.simp.simplificationstrategy.SimplificationStrategy.show_intermediate_results.<locals>.IntermediateResults at 0x1265a1b90>"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "strategy.show_intermediate_results(ac, symbols=[f(1)])"
+    "strategy.show_intermediate_results(ac, symbols=[g(1)])"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -497,7 +505,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,
diff --git a/src/pystencils/boundaries/boundaryhandling.py b/src/pystencils/boundaries/boundaryhandling.py
index 53c3980e2d2c9c947d45410d03017da135d4a843..949e4065ac20021bbccfa603175ffb1604522de1 100644
--- a/src/pystencils/boundaries/boundaryhandling.py
+++ b/src/pystencils/boundaries/boundaryhandling.py
@@ -450,5 +450,6 @@ def create_boundary_kernel(field, index_field, stencil, boundary_functor, target
     dir_symbol = TypedSymbol("dir", np.int32)
     elements += [SympyAssignment(dir_symbol, index_field[0]('dir'))]
     elements += boundary_functor(field, direction_symbol=dir_symbol, index_field=index_field)
-    config = CreateKernelConfig(index_fields=[index_field], target=target, **kernel_creation_args)
+    config = CreateKernelConfig(index_fields=[index_field], target=target, skip_independence_check=True,
+                                **kernel_creation_args)
     return create_kernel(elements, config=config)
diff --git a/src/pystencils/config.py b/src/pystencils/config.py
index 5fff3b799c3bcd9f303ac155ca5069308379bdb8..dec9df8bab0216347e1d42d929abfa695c0e50db 100644
--- a/src/pystencils/config.py
+++ b/src/pystencils/config.py
@@ -135,8 +135,9 @@ class CreateKernelConfig:
     """
     skip_independence_check: bool = False
     """
-    Don't check that loop iterations are independent. This is needed e.g. for
-    periodicity kernel, that access the field outside the iteration bounds. Use with care!
+    By default the assignment list is checked for read/write independence. This means fields are only written at
+    locations where they are read. Doing so guarantees thread safety. In some cases e.g. for
+    periodicity kernel, this can not be assured and does the check needs to be deactivated. Use with care!
     """
 
     class DataTypeFactory:
diff --git a/src/pystencils/kernel_contrains_check.py b/src/pystencils/kernel_contrains_check.py
index f1fa4b8a141400c0880672f4fdbcd356b59d4ccd..f33434a0ece48375dc5139804285cd37801846e0 100644
--- a/src/pystencils/kernel_contrains_check.py
+++ b/src/pystencils/kernel_contrains_check.py
@@ -38,6 +38,7 @@ class KernelConstraintsCheck:
 
     def __init__(self, check_independence_condition=True, check_double_write_condition=True):
         self.scopes = NestedScopes()
+        self.field_reads = defaultdict(set)
         self.field_writes = defaultdict(set)
         self.fields_read = set()
         self.check_independence_condition = check_independence_condition
@@ -111,6 +112,13 @@ class KernelConstraintsCheck:
             if self.check_double_write_condition and len(self.field_writes[fai]) > 1:
                 raise ValueError(
                     f"Field {lhs.field.name} is written at two different locations")
+
+            if fai in self.field_reads:
+                reads = tuple(self.field_reads[fai])
+                if len(reads) > 1 or lhs.offsets != reads[0]:
+                    if self.check_independence_condition:
+                        raise ValueError(f"Field {lhs.field.name} is written at different location than it was read. "
+                                         f"This means the resulting kernel would not be thread safe")
         elif isinstance(lhs, sp.Symbol):
             if self.scopes.is_defined_locally(lhs):
                 raise ValueError(f"Assignments not in SSA form, multiple assignments to {lhs.name}")
@@ -120,8 +128,9 @@ class KernelConstraintsCheck:
 
     def update_accesses_rhs(self, rhs):
         if isinstance(rhs, Field.Access) and self.check_independence_condition:
-            writes = self.field_writes[self.FieldAndIndex(
-                rhs.field, rhs.index)]
+            fai = self.FieldAndIndex(rhs.field, rhs.index)
+            writes = self.field_writes[fai]
+            self.field_reads[fai].add(rhs.offsets)
             for write_offset in writes:
                 assert len(writes) == 1
                 if write_offset != rhs.offsets:
diff --git a/src/pystencils/kernelcreation.py b/src/pystencils/kernelcreation.py
index 385f42d2f01c26b633fcc25799665cab2072dceb..59986e8d849261d37ea4581ff6f69cbc6dfaf0a4 100644
--- a/src/pystencils/kernelcreation.py
+++ b/src/pystencils/kernelcreation.py
@@ -128,6 +128,7 @@ def create_domain_kernel(assignments: NodeCollection, *, config: CreateKernelCon
     # --- check constrains
     check = KernelConstraintsCheck(check_independence_condition=not config.skip_independence_check,
                                    check_double_write_condition=not config.allow_double_writes)
+
     check.visit(assignments)
 
     assignments.bound_fields = check.fields_written
diff --git a/tests/test_jupyter_extensions.ipynb b/tests/test_jupyter_extensions.ipynb
index f0ab21d3ef04aa4a749f90483c678f746d6831a4..c9ffbfce8d305bb439b54750b0c10f98cf78eb5b 100644
--- a/tests/test_jupyter_extensions.ipynb
+++ b/tests/test_jupyter_extensions.ipynb
@@ -39,7 +39,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7fcb7d253710>"
+       "<matplotlib.image.AxesImage at 0x117081c10>"
       ]
      },
      "execution_count": 4,
@@ -48,14 +48,12 @@
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<Figure size 1152x432 with 1 Axes>"
+       "<Figure size 1600x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -70,7 +68,8 @@
    "outputs": [],
    "source": [
     "ur = ps.Assignment(c_field[0, 0], c_field[1, 0])\n",
-    "ast = ps.create_kernel(ur, target=dh.default_target, cpu_openmp=True)\n",
+    "config = ps.CreateKernelConfig(target=dh.default_target, cpu_openmp=False, skip_independence_check=True)\n",
+    "ast = ps.create_kernel(ur, config=config)\n",
     "kernel = ast.compile()"
    ]
   },
@@ -114,7 +113,7 @@
      "data": {
       "text/html": [
        "<video controls width=\"80%\">\n",
-       " <source 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type=\"video/mp4\">\n",
        " Your browser does not support the video tag.\n",
        "</video>"
       ],
@@ -148,14 +147,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
-       "<Figure size 1152x432 with 1 Axes>"
+       "<Figure size 1600x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -184,14 +181,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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dH0jy20lur6pf3+sJnSdW4fdhW5tsT7PBJuObHrrB2Oj17/QG6+vtdbhXcmPh7n5huTyR5CtZ+2fRS6f28VwuT+zdDHfdZmu94H8feoU22d5ok/GsyHO/2xus73W4v5ZkX1VdV1VvT3Iwa5sNX7Cq6p1Vdemp60l+K2sbLd+f5LblsNuS3Lc3MzwnNlvrBb/R9Kpssr3ZJuNZgef+nGywfh78BfaWrP3V9T+S/NFez+ccrPdnsvYX5H9L8sSpNSd5V5IjSZ5dLi/f67nu0Hq/nLV/Fv4oa68sPn66tSb5o+V34ekkv73X89+Ftf91km8meWz5D/aqC3Ttv5a1f+4/luTR5euWVXjuT7P2HXvufeQdYJi9PlUCwFsk3ADDCDfAMMINMIxwAwwj3ADDCDfAMP8HxfXmalFAB3UAAAAASUVORK5CYII=\n",
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",
       "text/plain": [
-       "<Figure size 1152x432 with 1 Axes>"
+       "<Figure size 1600x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -203,7 +198,36 @@
    "cell_type": "code",
    "execution_count": 14,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "ImportError",
+     "evalue": "Failed to import any of the following Qt binding modules: PyQt6, PySide6, PyQt5, PySide2",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[14], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m ps\u001b[38;5;241m.\u001b[39mjupyter\u001b[38;5;241m.\u001b[39mset_display_mode(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvideo\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m \u001b[43mps\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjupyter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_display_mode\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mwindow\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      3\u001b[0m ps\u001b[38;5;241m.\u001b[39mjupyter\u001b[38;5;241m.\u001b[39mset_display_mode(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mimage_update\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m      4\u001b[0m ps\u001b[38;5;241m.\u001b[39mjupyter\u001b[38;5;241m.\u001b[39mactivate_ipython()\n",
+      "File \u001b[0;32m~/pystencils/pystencils/src/pystencils/jupyter.py:115\u001b[0m, in \u001b[0;36mset_display_mode\u001b[0;34m(mode)\u001b[0m\n\u001b[1;32m    113\u001b[0m     display_animation_func \u001b[38;5;241m=\u001b[39m display_as_html_video\n\u001b[1;32m    114\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m animation_display_mode \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwindow\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[0;32m--> 115\u001b[0m     \u001b[43mipython\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmagic\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmatplotlib qt\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    116\u001b[0m     display_animation_func \u001b[38;5;241m=\u001b[39m display_in_extra_window\n\u001b[1;32m    117\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m animation_display_mode \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mimage_update\u001b[39m\u001b[38;5;124m'\u001b[39m:\n",
+      "File \u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/IPython/core/interactiveshell.py:2539\u001b[0m, in \u001b[0;36mInteractiveShell.magic\u001b[0;34m(self, arg_s)\u001b[0m\n\u001b[1;32m   2537\u001b[0m magic_name, _, magic_arg_s \u001b[38;5;241m=\u001b[39m arg_s\u001b[38;5;241m.\u001b[39mpartition(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m   2538\u001b[0m magic_name \u001b[38;5;241m=\u001b[39m magic_name\u001b[38;5;241m.\u001b[39mlstrip(prefilter\u001b[38;5;241m.\u001b[39mESC_MAGIC)\n\u001b[0;32m-> 2539\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_line_magic\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmagic_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmagic_arg_s\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_stack_depth\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/IPython/core/interactiveshell.py:2417\u001b[0m, in \u001b[0;36mInteractiveShell.run_line_magic\u001b[0;34m(self, magic_name, line, _stack_depth)\u001b[0m\n\u001b[1;32m   2415\u001b[0m     kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlocal_ns\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_local_scope(stack_depth)\n\u001b[1;32m   2416\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbuiltin_trap:\n\u001b[0;32m-> 2417\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2419\u001b[0m \u001b[38;5;66;03m# The code below prevents the output from being displayed\u001b[39;00m\n\u001b[1;32m   2420\u001b[0m \u001b[38;5;66;03m# when using magics with decodator @output_can_be_silenced\u001b[39;00m\n\u001b[1;32m   2421\u001b[0m \u001b[38;5;66;03m# when the last Python token in the expression is a ';'.\u001b[39;00m\n\u001b[1;32m   2422\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(fn, magic\u001b[38;5;241m.\u001b[39mMAGIC_OUTPUT_CAN_BE_SILENCED, \u001b[38;5;28;01mFalse\u001b[39;00m):\n",
+      "File \u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/IPython/core/magics/pylab.py:99\u001b[0m, in \u001b[0;36mPylabMagics.matplotlib\u001b[0;34m(self, line)\u001b[0m\n\u001b[1;32m     97\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAvailable matplotlib backends: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m backends_list)\n\u001b[1;32m     98\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m---> 99\u001b[0m     gui, backend \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mshell\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43menable_matplotlib\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgui\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlower\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43misinstance\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgui\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mstr\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgui\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    100\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_show_matplotlib_backend(args\u001b[38;5;241m.\u001b[39mgui, backend)\n",
+      "File \u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/IPython/core/interactiveshell.py:3603\u001b[0m, in \u001b[0;36mInteractiveShell.enable_matplotlib\u001b[0;34m(self, gui)\u001b[0m\n\u001b[1;32m   3599\u001b[0m         \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mWarning: Cannot change to a different GUI toolkit: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m   3600\u001b[0m                 \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m Using \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m instead.\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m%\u001b[39m (gui, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpylab_gui_select))\n\u001b[1;32m   3601\u001b[0m         gui, backend \u001b[38;5;241m=\u001b[39m pt\u001b[38;5;241m.\u001b[39mfind_gui_and_backend(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpylab_gui_select)\n\u001b[0;32m-> 3603\u001b[0m \u001b[43mpt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mactivate_matplotlib\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbackend\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3604\u001b[0m configure_inline_support(\u001b[38;5;28mself\u001b[39m, backend)\n\u001b[1;32m   3606\u001b[0m \u001b[38;5;66;03m# Now we must activate the gui pylab wants to use, and fix %run to take\u001b[39;00m\n\u001b[1;32m   3607\u001b[0m \u001b[38;5;66;03m# plot updates into account\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/IPython/core/pylabtools.py:360\u001b[0m, in \u001b[0;36mactivate_matplotlib\u001b[0;34m(backend)\u001b[0m\n\u001b[1;32m    355\u001b[0m \u001b[38;5;66;03m# Due to circular imports, pyplot may be only partially initialised\u001b[39;00m\n\u001b[1;32m    356\u001b[0m \u001b[38;5;66;03m# when this function runs.\u001b[39;00m\n\u001b[1;32m    357\u001b[0m \u001b[38;5;66;03m# So avoid needing matplotlib attribute-lookup to access pyplot.\u001b[39;00m\n\u001b[1;32m    358\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m pyplot \u001b[38;5;28;01mas\u001b[39;00m plt\n\u001b[0;32m--> 360\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mswitch_backend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbackend\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    362\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow\u001b[38;5;241m.\u001b[39m_needmain \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m    363\u001b[0m \u001b[38;5;66;03m# We need to detect at runtime whether show() is called by the user.\u001b[39;00m\n\u001b[1;32m    364\u001b[0m \u001b[38;5;66;03m# For this, we wrap it into a decorator which adds a 'called' flag.\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/matplotlib/pyplot.py:271\u001b[0m, in \u001b[0;36mswitch_backend\u001b[0;34m(newbackend)\u001b[0m\n\u001b[1;32m    268\u001b[0m \u001b[38;5;66;03m# have to escape the switch on access logic\u001b[39;00m\n\u001b[1;32m    269\u001b[0m old_backend \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__getitem__\u001b[39m(rcParams, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbackend\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m--> 271\u001b[0m backend_mod \u001b[38;5;241m=\u001b[39m \u001b[43mimportlib\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimport_module\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    272\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcbook\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_backend_module_name\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnewbackend\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    274\u001b[0m required_framework \u001b[38;5;241m=\u001b[39m _get_required_interactive_framework(backend_mod)\n\u001b[1;32m    275\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m required_framework \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
+      "File \u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/importlib/__init__.py:126\u001b[0m, in \u001b[0;36mimport_module\u001b[0;34m(name, package)\u001b[0m\n\u001b[1;32m    124\u001b[0m             \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m    125\u001b[0m         level \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[0;32m--> 126\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_bootstrap\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_gcd_import\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m[\u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m:\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpackage\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m<frozen importlib._bootstrap>:1204\u001b[0m, in \u001b[0;36m_gcd_import\u001b[0;34m(name, package, level)\u001b[0m\n",
+      "File \u001b[0;32m<frozen importlib._bootstrap>:1176\u001b[0m, in \u001b[0;36m_find_and_load\u001b[0;34m(name, import_)\u001b[0m\n",
+      "File \u001b[0;32m<frozen importlib._bootstrap>:1147\u001b[0m, in \u001b[0;36m_find_and_load_unlocked\u001b[0;34m(name, import_)\u001b[0m\n",
+      "File \u001b[0;32m<frozen importlib._bootstrap>:690\u001b[0m, in \u001b[0;36m_load_unlocked\u001b[0;34m(spec)\u001b[0m\n",
+      "File \u001b[0;32m<frozen importlib._bootstrap_external>:940\u001b[0m, in \u001b[0;36mexec_module\u001b[0;34m(self, module)\u001b[0m\n",
+      "File \u001b[0;32m<frozen importlib._bootstrap>:241\u001b[0m, in \u001b[0;36m_call_with_frames_removed\u001b[0;34m(f, *args, **kwds)\u001b[0m\n",
+      "File \u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/matplotlib/backends/backend_qt5agg.py:7\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m backends\n\u001b[1;32m      6\u001b[0m backends\u001b[38;5;241m.\u001b[39m_QT_FORCE_QT5_BINDING \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m----> 7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackend_qtagg\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m (    \u001b[38;5;66;03m# noqa: F401, E402 # pylint: disable=W0611\u001b[39;00m\n\u001b[1;32m      8\u001b[0m     _BackendQTAgg, FigureCanvasQTAgg, FigureManagerQT, NavigationToolbar2QT,\n\u001b[1;32m      9\u001b[0m     FigureCanvasAgg, FigureCanvasQT)\n\u001b[1;32m     12\u001b[0m \u001b[38;5;129m@_BackendQTAgg\u001b[39m\u001b[38;5;241m.\u001b[39mexport\n\u001b[1;32m     13\u001b[0m \u001b[38;5;28;01mclass\u001b[39;00m \u001b[38;5;21;01m_BackendQT5Agg\u001b[39;00m(_BackendQTAgg):\n\u001b[1;32m     14\u001b[0m     \u001b[38;5;28;01mpass\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/matplotlib/backends/backend_qtagg.py:9\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mctypes\u001b[39;00m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mtransforms\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Bbox\n\u001b[0;32m----> 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mqt_compat\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m QT_API, _enum\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackend_agg\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m FigureCanvasAgg\n\u001b[1;32m     11\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackend_qt\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m QtCore, QtGui, _BackendQT, FigureCanvasQT\n",
+      "File \u001b[0;32m/opt/local/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/matplotlib/backends/qt_compat.py:135\u001b[0m\n\u001b[1;32m    133\u001b[0m         \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m    134\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 135\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(\n\u001b[1;32m    136\u001b[0m             \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed to import any of the following Qt binding modules: \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    137\u001b[0m             \u001b[38;5;241m.\u001b[39mformat(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(_ETS\u001b[38;5;241m.\u001b[39mvalues())))\n\u001b[1;32m    138\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:  \u001b[38;5;66;03m# We should not get there.\u001b[39;00m\n\u001b[1;32m    139\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAssertionError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnexpected QT_API: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mQT_API\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n",
+      "\u001b[0;31mImportError\u001b[0m: Failed to import any of the following Qt binding modules: PyQt6, PySide6, PyQt5, PySide2"
+     ]
+    }
+   ],
    "source": [
     "ps.jupyter.set_display_mode(\"video\")\n",
     "ps.jupyter.set_display_mode(\"window\")\n",
@@ -214,7 +238,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -228,7 +252,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,
diff --git a/tests/test_phasefield_dentritic_3D.ipynb b/tests/test_phasefield_dentritic_3D.ipynb
index 41fddaeedea228b352d7f21a8e08f0188eaee379..56f542278adae6af46029958257fc6ac6e983f61 100644
--- a/tests/test_phasefield_dentritic_3D.ipynb
+++ b/tests/test_phasefield_dentritic_3D.ipynb
@@ -8,7 +8,7 @@
     {
      "data": {
       "text/plain": [
-       "<module 'cupy' from '/home/markus/.local/lib/python3.11/site-packages/cupy/__init__.py'>"
+       "<module 'cupy' from '/home/markus/Python311/lib/python3.11/site-packages/cupy/__init__.py'>"
       ]
      },
      "execution_count": 1,
@@ -53,8 +53,10 @@
     "\n",
     "dh = ps.create_data_handling(domain_size=domain_size, periodicity=True, default_target=target)\n",
     "φ_field = dh.add_array('phi', latex_name='φ')\n",
+    "φ_field_tmp = dh.add_array('phi_tmp', latex_name='φ_tmp')\n",
     "φ_delta_field = dh.add_array('phidelta', latex_name='φ_D')\n",
-    "t_field = dh.add_array('T')"
+    "t_field = dh.add_array('T')\n",
+    "t_field_tmp = dh.add_array('T_tmp')"
    ]
   },
   {
@@ -98,12 +100,26 @@
        "$\\displaystyle \\bar{\\epsilon} \\left(δ \\left(\\frac{{\\partial_{0} {φ}_{(0,0,0)}}^{4}}{\\left({\\partial_{0} {φ}_{(0,0,0)}}^{2} + {\\partial_{1} {φ}_{(0,0,0)}}^{2} + {\\partial_{2} {φ}_{(0,0,0)}}^{2}\\right)^{2}} + \\frac{{\\partial_{1} {φ}_{(0,0,0)}}^{4}}{\\left({\\partial_{0} {φ}_{(0,0,0)}}^{2} + {\\partial_{1} {φ}_{(0,0,0)}}^{2} + {\\partial_{2} {φ}_{(0,0,0)}}^{2}\\right)^{2}} + \\frac{{\\partial_{2} {φ}_{(0,0,0)}}^{4}}{\\left({\\partial_{0} {φ}_{(0,0,0)}}^{2} + {\\partial_{1} {φ}_{(0,0,0)}}^{2} + {\\partial_{2} {φ}_{(0,0,0)}}^{2}\\right)^{2}}\\right) + 1\\right)$"
       ],
       "text/plain": [
-       "               ⎛  ⎛                            4                                               4                                               4                ⎞    ⎞\n",
-       "               ⎜  ⎜                 D(φ[0,0,0])                                     D(φ[0,0,0])                                     D(φ[0,0,0])                 ⎟    ⎟\n",
-       "\\bar{\\epsilon}⋅⎜δ⋅⎜───────────────────────────────────────────── + ───────────────────────────────────────────── + ─────────────────────────────────────────────⎟ + 1⎟\n",
-       "               ⎜  ⎜                                            2                                               2                                               2⎟    ⎟\n",
-       "               ⎜  ⎜⎛           2              2              2⎞    ⎛           2              2              2⎞    ⎛           2              2              2⎞ ⎟    ⎟\n",
-       "               ⎝  ⎝⎝D(φ[0,0,0])  + D(φ[0,0,0])  + D(φ[0,0,0]) ⎠    ⎝D(φ[0,0,0])  + D(φ[0,0,0])  + D(φ[0,0,0]) ⎠    ⎝D(φ[0,0,0])  + D(φ[0,0,0])  + D(φ[0,0,0]) ⎠ ⎠    ⎠"
+       "               ⎛  ⎛                            4                              \n",
+       "               ⎜  ⎜                 D(φ[0,0,0])                               \n",
+       "\\bar{\\epsilon}⋅⎜δ⋅⎜───────────────────────────────────────────── + ───────────\n",
+       "               ⎜  ⎜                                            2              \n",
+       "               ⎜  ⎜⎛           2              2              2⎞    ⎛          \n",
+       "               ⎝  ⎝⎝D(φ[0,0,0])  + D(φ[0,0,0])  + D(φ[0,0,0]) ⎠    ⎝D(φ[0,0,0]\n",
+       "\n",
+       "                 4                                               4            \n",
+       "      D(φ[0,0,0])                                     D(φ[0,0,0])             \n",
+       "────────────────────────────────── + ─────────────────────────────────────────\n",
+       "                                 2                                            \n",
+       " 2              2              2⎞    ⎛           2              2             \n",
+       ")  + D(φ[0,0,0])  + D(φ[0,0,0]) ⎠    ⎝D(φ[0,0,0])  + D(φ[0,0,0])  + D(φ[0,0,0]\n",
+       "\n",
+       "    ⎞    ⎞\n",
+       "    ⎟    ⎟\n",
+       "────⎟ + 1⎟\n",
+       "   2⎟    ⎟\n",
+       " 2⎞ ⎟    ⎟\n",
+       ") ⎠ ⎠    ⎠"
       ]
      },
      "execution_count": 5,
@@ -164,12 +180,13 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/latex": [
        "$\\displaystyle \\left\\{ \\pi : 3.14159265358979, \\  T_{eq} : 1.0, \\  \\bar{\\epsilon} : 0.01, \\  j : 6, \\  α : 0.9, \\  γ : 10, \\  δ : 0.3, \\  θ_{0} : 0.2, \\  κ : 1.8, \\  τ : 0.0003\\right\\}$"
       ],
       "text/plain": [
-       "{π: 3.14159265358979, T_eq: 1.0, \\bar{\\epsilon}: 0.01, j: 6, α: 0.9, γ: 10, δ: 0.3, θ₀: 0.2, κ: 1.8, τ: 0.0003}"
+       "{π: 3.14159265358979, T_eq: 1.0, \\bar{\\epsilon}: 0.01, j: 6, α: 0.9, γ: 10, δ:\n",
+       " 0.3, θ₀: 0.2, κ: 1.8, τ: 0.0003}"
       ]
      },
      "execution_count": 9,
@@ -204,12 +221,12 @@
     "    ps.Assignment(φ_delta_field.center, discretize(dφ_dt.subs(parameters))),\n",
     "]\n",
     "φEqs = ps.simp.sympy_cse_on_assignment_list(assignments)\n",
-    "φEqs.append(ps.Assignment(φ, discretize(ps.fd.transient(φ) - φ_delta_field.center)))\n",
+    "φEqs.append(ps.Assignment(φ_field_tmp.center, discretize(ps.fd.transient(φ) - φ_delta_field.center)))\n",
     "\n",
     "\n",
     "temperatureEvolution = -ps.fd.transient(T) + ps.fd.diffusion(T, 1) + κ * φ_delta_field.center\n",
     "temperatureEqs = [\n",
-    "    ps.Assignment(T, discretize(temperatureEvolution.subs(parameters)))\n",
+    "    ps.Assignment(t_field_tmp.center, discretize(temperatureEvolution.subs(parameters)))\n",
     "]"
    ]
   },
@@ -217,30 +234,6 @@
    "cell_type": "code",
    "execution_count": 11,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/latex": [
-       "$\\displaystyle \\left[ {T}_{(0,0,0)} \\leftarrow 0.0111111111111111 {T}_{(0,0,-1)} + 0.933333333333333 {T}_{(0,0,0)} + 0.0111111111111111 {T}_{(1,0,0)} + 0.0111111111111111 {T}_{(0,1,0)} + 0.0111111111111111 {T}_{(0,-1,0)} + 0.0111111111111111 {T}_{(0,0,1)} + 0.0111111111111111 {T}_{(-1,0,0)} + 1.8 \\cdot 10^{-5} {φ_D}_{(0,0,0)}\\right]$"
-      ],
-      "text/plain": [
-       "[T_C := 0.0111111111111111â‹…T_B + 0.933333333333333â‹…T_C + 0.0111111111111111â‹…T_E + 0.0111111111111111â‹…T_N + 0.0111111111111111â‹…T_S + 0.0111111111111111â‹…T_T + 0.0111111111111111â‹…T_\n",
-       "W + 1.8e-5â‹…phidelta_C]"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "temperatureEqs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
    "outputs": [],
    "source": [
     "φ_kernel = ps.create_kernel(φEqs, cpu_openmp=4, target=target).compile()\n",
@@ -249,7 +242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -262,6 +255,8 @@
     "        dh.run_kernel(φ_kernel)\n",
     "        temperature_sync()\n",
     "        dh.run_kernel(temperatureKernel)\n",
+    "        dh.swap(φ_field.name, φ_field_tmp.name)\n",
+    "        dh.swap(t_field.name, t_field_tmp.name)\n",
     "    dh.all_to_cpu()\n",
     "\n",
     "\n",
@@ -291,7 +286,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -301,14 +296,16 @@
       "    Name|      Inner (min/max)|     WithGl (min/max)\n",
       "----------------------------------------------------\n",
       "       T|            (  0,  0)|            (  0,  0)\n",
+      "   T_tmp|            (  0,  0)|            (  0,  0)\n",
       "     phi|            (  0,  1)|            (  0,  1)\n",
+      " phi_tmp|            (  0,  0)|            (  0,  0)\n",
       "phidelta|            (  0,  0)|            (  0,  0)\n",
       "\n"
      ]
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x600 with 6 Axes>"
       ]
@@ -325,171 +322,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Step  0 25.45903586700115 0.9934522628963286\n",
-      "Step  1 17.733385490000728 0.993928549434581\n",
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-      "Step  3 17.73187294499985 0.9987018046573852\n",
-      "Step  4 17.42424472499988 0.9994581962161123\n",
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-      "Step  6 17.38586500100064 0.9999032282027154\n",
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-      "Step  11 17.099542428999484 0.999999973143393\n",
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-      "Step  92 17.7537402930011 0.9999999999999966\n",
-      "Step  93 18.066451909000534 0.9999999999999966\n",
-      "Step  94 18.1830705400007 0.9999999999999966\n",
-      "Step  95 18.144785267999396 0.9999999999999966\n",
-      "Step  96 17.771601014001135 0.9999999999999966\n",
-      "Step  97 18.371283865000805 0.9999999999999966\n",
-      "Step  98 18.569847105998633 0.9999999999999966\n",
-      "Step  99 18.27999508600078 0.9999999999999966\n",
-      "Step  100 17.876706947999992 0.9999999999999966\n",
-      "Step  101 18.362252414000977 0.9999999999999966\n",
-      "Step  102 18.184471571999893 0.9999999999999966\n",
-      "Step  103 17.953990222000357 0.9999999999999966\n",
-      "Step  104 18.139474450999842 0.9999999999999966\n",
-      "Step  105 17.951657051999064 0.9999999999999966\n",
-      "Step  106 17.9079576109998 0.9999999999999966\n",
-      "Step  107 17.87303800600057 0.9999999999999966\n",
-      "Step  108 17.93147389799924 0.9999999999999966\n",
-      "Step  109 18.11586603000069 0.9999999999999966\n",
-      "Step  110 17.81402047099982 0.9999999999999966\n",
-      "Step  111 18.042384932999994 0.9999999999999966\n",
-      "Step  112 18.28486302300007 0.9999999999999966\n",
-      "Step  113 18.207277753999733 0.9999999999999966\n",
-      "Step  114 17.95677446300033 0.9999999999999966\n",
-      "Step  115 18.060943858001338 0.9999999999999966\n",
-      "Step  116 18.289367157000015 0.9999999999999966\n",
-      "Step  117 17.892628915000387 0.9999999999999966\n",
-      "Step  118 17.864017376999982 0.9999999999999966\n",
-      "Step  119 18.149063675000434 0.9999999999999966\n",
-      "Step  120 18.52748107499974 0.9999999999999966\n",
-      "Step  121 18.263750603000517 0.9999999999999966\n",
-      "Step  122 18.062445188999845 0.9999999999999966\n",
-      "Step  123 18.676733229000092 0.9999999999999966\n",
-      "Step  124 17.94438390400137 0.9999999999999966\n",
-      "Step  125 18.117840117000014 0.9999999999999966\n",
-      "Step  126 18.08436953599994 0.9999999999999966\n",
-      "Step  127 17.971794098000828 0.9999999999999966\n",
-      "Step  128 18.37189302399929 0.9999999999999966\n",
-      "Step  129 18.186950645000252 0.9999999999999966\n",
-      "Step  130 18.30828943600136 0.9999999999999966\n",
-      "Step  131 18.53486498699931 0.9999999999999966\n",
-      "Step  132 18.302330796001115 0.9999999999999966\n",
-      "Step  133 18.28120723899883 0.9999999999999966\n",
-      "Step  134 18.4264274319994 0.9999999999999966\n",
-      "Step  135 18.156916502000968 0.9999999999999966\n",
-      "Step  136 18.33176715799891 0.9999999999999966\n",
-      "Step  137 18.704046654000194 0.9999999999999966\n",
-      "Step  138 18.061599176000527 0.9999999999999966\n",
-      "Step  139 18.313615737000873 0.9999999999999966\n",
-      "Step  140 19.13900512299915 0.9999999999999966\n",
-      "Step  141 18.634621335999327 0.9999999999999966\n",
-      "Step  142 18.48925181300001 0.9999999999999966\n",
-      "Step  143 18.603877730000022 0.9999999999999966\n",
-      "Step  144 18.455599974000506 0.9999999999999966\n",
-      "Step  145 18.61112040399894 0.9999999999999966\n",
-      "Step  146 18.832362896999257 0.9999999999999966\n",
-      "Step  147 18.292130691001148 0.9999999999999966\n",
-      "Step  148 18.38444646700009 0.9999999999999966\n",
-      "Step  149 18.14168985700053 0.9999999999999966\n",
-      "Step  150 18.834586269000283 0.9999999999999966\n",
-      "Step  151 18.90085793199978 0.9999999999999966\n",
-      "Step  152 18.301890503000322 0.9999999999999966\n",
-      "Step  153 18.99428056400029 0.9999999999999966\n",
-      "Step  154 18.442107730001226 0.9999999999999966\n",
-      "Step  155 18.12089733100038 0.9999999999999966\n",
-      "Step  156 18.185502423999424 0.9999999999999966\n",
-      "Step  157 18.189794200001415 0.9999999999999966\n"
+      "Step  0 19.713090835999992 1.0\n",
+      "Step  1 19.673075279000045 1.0\n",
+      "Step  2 19.696444219 1.0\n",
+      "Step  3 19.752472744999977 1.0\n"
      ]
     }
    ],
@@ -503,7 +346,7 @@
     "    from time import perf_counter\n",
     "    vtk_writer = dh.create_vtk_writer('dentritic_growth_large', ['phi'])\n",
     "    last = perf_counter()\n",
-    "    for i in range(300):\n",
+    "    for i in range(4):\n",
     "        time_loop(100)\n",
     "        vtk_writer(i)\n",
     "        print(\"Step \", i, perf_counter() - last, dh.max('phi'))\n",
@@ -527,9 +370,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.0rc1"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/tests/test_vectorization_specific.py b/tests/test_vectorization_specific.py
index d1930a07aaf990997766d19e9263a4a637a86bef..dcebeae608496d29a2a059541c1a776adbb4ae64 100644
--- a/tests/test_vectorization_specific.py
+++ b/tests/test_vectorization_specific.py
@@ -226,7 +226,7 @@ def test_issue62(dtype, instruction_set, padding):
     dy = sp.Symbol("dy")
     src, dst, rhs = ps.fields(f"src, src_tmp, rhs: {dtype}[2D]", layout='fzyx')
 
-    up = ps.Assignment(src[0, 0], ((dy ** 2 * (src[1, 0] + src[-1, 0]))
+    up = ps.Assignment(dst[0, 0], ((dy ** 2 * (src[1, 0] + src[-1, 0]))
                                    + (dx ** 2 * (src[0, 1] + src[0, -1]))
                                    - (rhs[0, 0] * dx ** 2 * dy ** 2)) / (2 * (dx ** 2 + dy ** 2)))