From 6263bebc4d79bf701f249f57778d469e45abff8d Mon Sep 17 00:00:00 2001 From: chrisjonesBSU Date: Fri, 29 Mar 2024 11:30:40 -0600 Subject: [PATCH] comment out sims in surface wetting tutorial --- tutorials/5-flowerMD-surface-wetting.ipynb | 183 ++++++++------------- 1 file changed, 72 insertions(+), 111 deletions(-) diff --git a/tutorials/5-flowerMD-surface-wetting.ipynb b/tutorials/5-flowerMD-surface-wetting.ipynb index 9e053f5a..3051abee 100644 --- a/tutorials/5-flowerMD-surface-wetting.ipynb +++ b/tutorials/5-flowerMD-surface-wetting.ipynb @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "id": "a5c5578f", "metadata": { "collapsed": false, @@ -65,6 +65,7 @@ "from cmeutils.visualize import FresnelGSD\n", "import unyt\n", "import warnings\n", + "import os\n", "\n", "warnings.filterwarnings('ignore')" ] @@ -79,9 +80,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/chris/miniforge3/envs/flowermd-dev/lib/python3.11/site-packages/mdtraj/formats/__init__.py:6: DeprecationWarning: 'xdrlib' is deprecated and slated for removal in Python 3.13\n", + "/home/chris/miniconda3/envs/flowermd-dev/lib/python3.11/site-packages/mdtraj/formats/__init__.py:6: DeprecationWarning: 'xdrlib' is deprecated and slated for removal in Python 3.13\n", " from .xtc import XTCTrajectoryFile\n", - "/home/chris/miniforge3/envs/flowermd-dev/lib/python3.11/site-packages/mbuild/recipes/__init__.py:13: DeprecationWarning: SelectableGroups dict interface is deprecated. Use select.\n", + "/home/chris/miniconda3/envs/flowermd-dev/lib/python3.11/site-packages/mbuild/recipes/__init__.py:13: DeprecationWarning: SelectableGroups dict interface is deprecated. Use select.\n", " entry_points = metadata.entry_points()[\"mbuild.plugins\"]\n" ] } @@ -94,7 +95,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "620ce655-2c44-43a8-9a7a-2cedc148ff99", "metadata": { "scrolled": true @@ -107,14 +108,16 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[4], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m polyethylene \u001b[38;5;241m=\u001b[39m PolyEthylene(num_mols\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m70\u001b[39m, lengths\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m25\u001b[39m)\n\u001b[1;32m 2\u001b[0m droplet_system \u001b[38;5;241m=\u001b[39m Pack(molecules\u001b[38;5;241m=\u001b[39mpolyethylene, density\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1.0\u001b[39m \u001b[38;5;241m*\u001b[39m unyt\u001b[38;5;241m.\u001b[39mg\u001b[38;5;241m/\u001b[39munyt\u001b[38;5;241m.\u001b[39mcm\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m3\u001b[39m)\n\u001b[0;32m----> 3\u001b[0m \u001b[43mdroplet_system\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply_forcefield\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43mforce_field\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mOPLS_AA\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mremove_charges\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43mremove_hydrogens\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 7\u001b[0m \u001b[43m 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remove_hydrogens:\n\u001b[0;32m--> 587\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mremove_hydrogens\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 589\u001b[0m pppm_kwargs \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mresolution\u001b[39m\u001b[38;5;124m\"\u001b[39m: pppm_resolution, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124morder\u001b[39m\u001b[38;5;124m\"\u001b[39m: pppm_order}\n\u001b[1;32m 590\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_ff_kwargs \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m 591\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mr_cut\u001b[39m\u001b[38;5;124m\"\u001b[39m: r_cut,\n\u001b[1;32m 592\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnlist_buffer\u001b[39m\u001b[38;5;124m\"\u001b[39m: nlist_buffer,\n\u001b[1;32m 593\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpppm_kwargs\u001b[39m\u001b[38;5;124m\"\u001b[39m: pppm_kwargs,\n\u001b[1;32m 594\u001b[0m }\n", - "File \u001b[0;32m~/cme/forks/flowerMD/flowermd/base/system.py:354\u001b[0m, in \u001b[0;36mSystem.remove_hydrogens\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 352\u001b[0m site\u001b[38;5;241m.\u001b[39mmass \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m h\u001b[38;5;241m.\u001b[39mmass\n\u001b[1;32m 353\u001b[0m site\u001b[38;5;241m.\u001b[39mcharge \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m h\u001b[38;5;241m.\u001b[39mcharge\n\u001b[0;32m--> 354\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgmso_system\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mremove_site\u001b[49m\u001b[43m(\u001b[49m\u001b[43msite\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mh\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 355\u001b[0m \u001b[38;5;66;03m# If a snapshot was already made, need to re-create it w/o hydrogens\u001b[39;00m\n\u001b[1;32m 356\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_hoomd_snapshot:\n", - "File \u001b[0;32m~/miniforge3/envs/flowermd-dev/lib/python3.11/site-packages/gmso/core/topology.py:676\u001b[0m, in \u001b[0;36mTopology.remove_site\u001b[0;34m(self, site)\u001b[0m\n\u001b[1;32m 672\u001b[0m site_connections \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m 673\u001b[0m conn \u001b[38;5;28;01mfor\u001b[39;00m conn \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39miter_connections_by_site(site)\n\u001b[1;32m 674\u001b[0m ]\n\u001b[1;32m 675\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m conn \u001b[38;5;129;01min\u001b[39;00m site_connections:\n\u001b[0;32m--> 676\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mremove_connection\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 677\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sites\u001b[38;5;241m.\u001b[39mremove(site)\n", - "File \u001b[0;32m~/miniforge3/envs/flowermd-dev/lib/python3.11/site-packages/gmso/core/topology.py:692\u001b[0m, in \u001b[0;36mTopology.remove_connection\u001b[0;34m(self, connection)\u001b[0m\n\u001b[1;32m 679\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mremove_connection\u001b[39m(\u001b[38;5;28mself\u001b[39m, connection):\n\u001b[1;32m 680\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Remove a connection from the topology.\u001b[39;00m\n\u001b[1;32m 681\u001b[0m \n\u001b[1;32m 682\u001b[0m \u001b[38;5;124;03m Parameters\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 690\u001b[0m \u001b[38;5;124;03m not removed from the topology.\u001b[39;00m\n\u001b[1;32m 691\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 692\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m connection \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnections\u001b[49m:\n\u001b[1;32m 693\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 694\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mConnection \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mconnection\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m is not currently part of this topology.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 695\u001b[0m )\n\u001b[1;32m 696\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(connection, gmso\u001b[38;5;241m.\u001b[39mcore\u001b[38;5;241m.\u001b[39mbond\u001b[38;5;241m.\u001b[39mBond):\n", - "File \u001b[0;32m~/miniforge3/envs/flowermd-dev/lib/python3.11/site-packages/gmso/core/topology.py:281\u001b[0m, in \u001b[0;36mTopology.connections\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 278\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[1;32m 279\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mconnections\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 280\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Return all connections in topology.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 281\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mIndexedSet\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 282\u001b[0m \u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_bonds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_angles\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_dihedrals\u001b[49m\u001b[43m,\u001b[49m\u001b[43m 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*others)\u001b[0m\n\u001b[1;32m 354\u001b[0m other \u001b[38;5;241m=\u001b[39m chain(others)\n\u001b[1;32m 355\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m o \u001b[38;5;129;01min\u001b[39;00m other:\n\u001b[0;32m--> 356\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39madd(o)\n", + "Cell \u001b[0;32mIn[3], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m polyethylene \u001b[38;5;241m=\u001b[39m PolyEthylene(num_mols\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m70\u001b[39m, lengths\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m25\u001b[39m)\n\u001b[1;32m 2\u001b[0m droplet_system \u001b[38;5;241m=\u001b[39m Pack(molecules\u001b[38;5;241m=\u001b[39mpolyethylene, density\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1.0\u001b[39m \u001b[38;5;241m*\u001b[39m unyt\u001b[38;5;241m.\u001b[39mg\u001b[38;5;241m/\u001b[39munyt\u001b[38;5;241m.\u001b[39mcm\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m3\u001b[39m)\n\u001b[0;32m----> 3\u001b[0m \u001b[43mdroplet_system\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply_forcefield\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43mforce_field\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mOPLS_AA\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mremove_charges\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43mremove_hydrogens\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43mauto_scale\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43mr_cut\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m2.5\u001b[39;49m\n\u001b[1;32m 9\u001b[0m \u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/cme/forks/flowerMD/flowermd/base/system.py:548\u001b[0m, in \u001b[0;36mSystem.apply_forcefield\u001b[0;34m(self, r_cut, force_field, auto_scale, scale_charges, remove_charges, remove_hydrogens, pppm_resolution, pppm_order, nlist_buffer)\u001b[0m\n\u001b[1;32m 544\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_gmso_forcefields_dict:\n\u001b[1;32m 545\u001b[0m \u001b[38;5;66;03m# assign names to all the gmso sites based on mol_type to\u001b[39;00m\n\u001b[1;32m 546\u001b[0m \u001b[38;5;66;03m# match the keys in self._gmso_forcefields_dict before applying ff\u001b[39;00m\n\u001b[1;32m 547\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_assign_site_mol_type_idx()\n\u001b[0;32m--> 548\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgmso_system \u001b[38;5;241m=\u001b[39m \u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 549\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgmso_system\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 550\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_gmso_forcefields_dict\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 551\u001b[0m \u001b[43m \u001b[49m\u001b[43mmatch_ff_by\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mgroup\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 552\u001b[0m \u001b[43m \u001b[49m\u001b[43midentify_connections\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 553\u001b[0m \u001b[43m \u001b[49m\u001b[43mspeedup_by_moltag\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 554\u001b[0m \u001b[43m \u001b[49m\u001b[43mspeedup_by_molgraph\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 555\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 557\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m remove_charges:\n\u001b[1;32m 558\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m site \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgmso_system\u001b[38;5;241m.\u001b[39msites:\n", + "File \u001b[0;32m~/miniconda3/envs/flowermd-dev/lib/python3.11/site-packages/gmso/parameterization/parameterize.py:92\u001b[0m, in \u001b[0;36mapply\u001b[0;34m(top, forcefields, match_ff_by, identify_connections, speedup_by_molgraph, speedup_by_moltag, ignore_params, remove_untyped, fast_copy)\u001b[0m\n\u001b[1;32m 77\u001b[0m config \u001b[38;5;241m=\u001b[39m TopologyParameterizationConfig\u001b[38;5;241m.\u001b[39mmodel_validate(\n\u001b[1;32m 78\u001b[0m \u001b[38;5;28mdict\u001b[39m(\n\u001b[1;32m 79\u001b[0m match_ff_by\u001b[38;5;241m=\u001b[39mmatch_ff_by,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 86\u001b[0m )\n\u001b[1;32m 87\u001b[0m )\n\u001b[1;32m 88\u001b[0m parameterizer \u001b[38;5;241m=\u001b[39m TopologyParameterizer(\n\u001b[1;32m 89\u001b[0m topology\u001b[38;5;241m=\u001b[39mtop, forcefields\u001b[38;5;241m=\u001b[39mforcefields, config\u001b[38;5;241m=\u001b[39mconfig\n\u001b[1;32m 90\u001b[0m )\n\u001b[0;32m---> 92\u001b[0m \u001b[43mparameterizer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_parameterization\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 94\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parameterizer\u001b[38;5;241m.\u001b[39mtopology\n", + "File \u001b[0;32m~/miniconda3/envs/flowermd-dev/lib/python3.11/site-packages/gmso/parameterization/topology_parameterizer.py:311\u001b[0m, in \u001b[0;36mTopologyParameterizer.run_parameterization\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 308\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconfig\u001b[38;5;241m.\u001b[39midentify_connections:\n\u001b[1;32m 309\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"ToDo: This mutates the topology and is agnostic to downstream\u001b[39;00m\n\u001b[1;32m 310\u001b[0m \u001b[38;5;124;03m errors. So, here we should use index only option\"\"\"\u001b[39;00m\n\u001b[0;32m--> 311\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtopology\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43midentify_connections\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 313\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mforcefields, Dict):\n\u001b[1;32m 314\u001b[0m labels \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtopology\u001b[38;5;241m.\u001b[39munique_site_labels(\n\u001b[1;32m 315\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconfig\u001b[38;5;241m.\u001b[39mmatch_ff_by, name_only\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 316\u001b[0m )\n", + "File \u001b[0;32m~/miniconda3/envs/flowermd-dev/lib/python3.11/site-packages/gmso/core/topology.py:897\u001b[0m, in \u001b[0;36mTopology.identify_connections\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 895\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21midentify_connections\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 896\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Identify all connections in the topology.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 897\u001b[0m \u001b[43m_identify_connections\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/flowermd-dev/lib/python3.11/site-packages/gmso/utils/connectivity.py:59\u001b[0m, in \u001b[0;36midentify_connections\u001b[0;34m(top, index_only)\u001b[0m\n\u001b[1;32m 55\u001b[0m angle_matches \u001b[38;5;241m=\u001b[39m _detect_connections(compound_line_graph, top, type_\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mangle\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 56\u001b[0m dihedral_matches \u001b[38;5;241m=\u001b[39m _detect_connections(\n\u001b[1;32m 57\u001b[0m compound_line_graph, top, type_\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdihedral\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 58\u001b[0m )\n\u001b[0;32m---> 59\u001b[0m improper_matches \u001b[38;5;241m=\u001b[39m \u001b[43m_detect_connections\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 60\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompound_line_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtype_\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mimproper\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[1;32m 61\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 63\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m index_only:\n\u001b[1;32m 64\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m conn_matches, conn_type \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(\n\u001b[1;32m 65\u001b[0m (angle_matches, dihedral_matches, improper_matches),\n\u001b[1;32m 66\u001b[0m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mangle\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdihedral\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mimproper\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[1;32m 67\u001b[0m ):\n", + "File \u001b[0;32m~/miniconda3/envs/flowermd-dev/lib/python3.11/site-packages/gmso/utils/connectivity.py:108\u001b[0m, in \u001b[0;36m_detect_connections\u001b[0;34m(compound_line_graph, top, type_)\u001b[0m\n\u001b[1;32m 106\u001b[0m conn_matches \u001b[38;5;241m=\u001b[39m IndexedSet()\n\u001b[1;32m 107\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m m \u001b[38;5;129;01min\u001b[39;00m matcher\u001b[38;5;241m.\u001b[39msubgraph_isomorphisms_iter():\n\u001b[0;32m--> 108\u001b[0m new_connection \u001b[38;5;241m=\u001b[39m \u001b[43mformatter_fns\u001b[49m\u001b[43m[\u001b[49m\u001b[43mtype_\u001b[49m\u001b[43m]\u001b[49m\u001b[43m(\u001b[49m\u001b[43mm\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 109\u001b[0m conn_matches\u001b[38;5;241m.\u001b[39madd(new_connection)\n\u001b[1;32m 111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m conn_matches:\n", + "File \u001b[0;32m~/miniconda3/envs/flowermd-dev/lib/python3.11/site-packages/gmso/utils/connectivity.py:268\u001b[0m, in \u001b[0;36m_format_subgraph_improper\u001b[0;34m(m, top)\u001b[0m\n\u001b[1;32m 260\u001b[0m central \u001b[38;5;241m=\u001b[39m sort_by_n_connections[\u001b[38;5;241m3\u001b[39m]\n\u001b[1;32m 261\u001b[0m branch1, branch2, branch3 \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msorted\u001b[39m(\n\u001b[1;32m 262\u001b[0m sort_by_n_connections[:\u001b[38;5;241m3\u001b[39m],\n\u001b[1;32m 263\u001b[0m key\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mlambda\u001b[39;00m x: top\u001b[38;5;241m.\u001b[39mget_index(x),\n\u001b[1;32m 264\u001b[0m )\n\u001b[1;32m 265\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m (\n\u001b[1;32m 266\u001b[0m top\u001b[38;5;241m.\u001b[39mget_index(central),\n\u001b[1;32m 267\u001b[0m top\u001b[38;5;241m.\u001b[39mget_index(branch1),\n\u001b[0;32m--> 268\u001b[0m \u001b[43mtop\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_index\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbranch2\u001b[49m\u001b[43m)\u001b[49m,\n\u001b[1;32m 269\u001b[0m top\u001b[38;5;241m.\u001b[39mget_index(branch3),\n\u001b[1;32m 270\u001b[0m )\n\u001b[1;32m 271\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/flowermd-dev/lib/python3.11/site-packages/gmso/core/topology.py:1228\u001b[0m, in \u001b[0;36mTopology.get_index\u001b[0;34m(self, member)\u001b[0m\n\u001b[1;32m 1223\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m member_type \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m refs\u001b[38;5;241m.\u001b[39mkeys():\n\u001b[1;32m 1224\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\n\u001b[1;32m 1225\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot index member of type \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmember_type\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1226\u001b[0m )\n\u001b[0;32m-> 1228\u001b[0m index \u001b[38;5;241m=\u001b[39m \u001b[43mrefs\u001b[49m\u001b[43m[\u001b[49m\u001b[43mmember_type\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmember\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1230\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m index\n", + "File \u001b[0;32m~/miniconda3/envs/flowermd-dev/lib/python3.11/site-packages/boltons/setutils.py:466\u001b[0m, in \u001b[0;36mIndexedSet.index\u001b[0;34m(self, val)\u001b[0m\n\u001b[1;32m 463\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mitem_index_map[item] \u001b[38;5;241m=\u001b[39m i\n\u001b[1;32m 464\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdead_indices[:]\n\u001b[0;32m--> 466\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mindex\u001b[39m(\u001b[38;5;28mself\u001b[39m, val):\n\u001b[1;32m 467\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mindex(val) -> get the index of a value, raises if not present\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 468\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", "\u001b[0;31mKeyboardInterrupt\u001b[0m: " ] } @@ -147,6 +150,14 @@ ")" ] }, + { + "cell_type": "markdown", + "id": "09bfd711-ba7b-4119-a3d8-d99db21f4b1f", + "metadata": {}, + "source": [ + "
Warning: Due to the large system size, the following cell may take approximately 30 minutes to an hour to run.
" + ] + }, { "cell_type": "markdown", "id": "e0095630-28f9-4dad-bebf-8257f6fa46ee", @@ -167,6 +178,9 @@ "metadata": {}, "outputs": [], "source": [ + "# Uncomment the code-block below to try creating a polymer droplet.\n", + "\n", + "\"\"\"\n", "droplet_sim.run_droplet(\n", " tau_kt=droplet_sim.dt * 100,\n", " shrink_kT=5.0,\n", @@ -180,15 +194,8 @@ " hold_steps=1e5,\n", " final_density=0.05\n", ")\n", - "droplet_sim.flush_writers()" - ] - }, - { - "cell_type": "markdown", - "id": "09bfd711-ba7b-4119-a3d8-d99db21f4b1f", - "metadata": {}, - "source": [ - "
Warning: Due to the large system size, the above cells take approximately 30 minutes to run.
" + "droplet_sim.flush_writers()\n", + "\"\"\"" ] }, { @@ -215,7 +222,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "c0b0f2c7", "metadata": { "collapsed": false, @@ -246,7 +253,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "9893f59d", "metadata": { "collapsed": false, @@ -254,19 +261,7 @@ "outputs_hidden": false } }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "sim_viewer = FresnelGSD(gsd_file=\"data/polyethylene_droplet.gsd\", view_axis=(0, 1, 0), frame=-1)\n", "sim_viewer.view()" @@ -282,18 +277,10 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "66b810dd-1bde-43e6-8aad-5ef3f72049c8", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No charged group detected, skipping electrostatics.\n" - ] - } - ], + "outputs": [], "source": [ "polyethylene_small = PolyEthylene(num_mols=10, lengths=5)\n", "droplet_system_small = Pack(molecules=polyethylene_small, density=1.0)\n", @@ -308,7 +295,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "bb089f98-a502-44e3-a656-be25a844816e", "metadata": {}, "outputs": [], @@ -390,7 +377,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "id": "a37a21d6-4185-4ecf-b3c3-112a4436cdae", "metadata": {}, "outputs": [], @@ -424,7 +411,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "id": "94cda23f-9ad6-41c4-8251-311b209f9c41", "metadata": {}, "outputs": [], @@ -435,7 +422,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "id": "1ca51b8c-574a-48ae-a8ae-97995320bdf3", "metadata": {}, "outputs": [], @@ -460,7 +447,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "id": "e1500802", "metadata": { "collapsed": false, @@ -468,19 +455,7 @@ "outputs_hidden": false } }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "sim_viewer = FresnelGSD(gsd_file=\"surface_wetting_init.gsd\", view_axis=(0, 1.5, 0), frame=-1)\n", "sim_viewer.view()" @@ -506,7 +481,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "id": "f383a19b", "metadata": { "collapsed": false, @@ -514,15 +489,7 @@ "outputs_hidden": false } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Initializing simulation state from a gsd.hoomd.Frame.\n" - ] - } - ], + "outputs": [], "source": [ "from flowermd.modules.surface_wetting import WettingSimulation\n", "\n", @@ -548,6 +515,14 @@ "Now we can start the wetting simulation by using the `run_NVT` method. The droplet slowly spreads on the surface, and eventually wets the surface." ] }, + { + "cell_type": "markdown", + "id": "8c74cac0-8f28-4c05-baee-00893b1eb886", + "metadata": {}, + "source": [ + "
Warning: Due to the large system size, the following cells may take approximately 30 minutes to an hour to run.
" + ] + }, { "cell_type": "code", "execution_count": null, @@ -560,13 +535,15 @@ }, "outputs": [], "source": [ - "wetting_sim.run_NVT(kT=3.0, n_steps=3e5, tau_kt=wetting_sim.dt*100)\n", - "wetting_sim.flush_writers()" + "# Uncomment to run surface wetting simulation\n", + "\n", + "#wetting_sim.run_NVT(kT=3.0, n_steps=3e5, tau_kt=wetting_sim.dt*100)\n", + "#wetting_sim.flush_writers()" ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "id": "1ce60d1f", "metadata": { "collapsed": false, @@ -574,22 +551,13 @@ "outputs_hidden": false } }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "sim_viewer = FresnelGSD(gsd_file=\"wetting_trajectory.gsd\", view_axis=(0, 1.5, 0), frame=-1)\n", - "sim_viewer.view()" + "if os.path.exists(\"wetting_trajectory.gsd\"):\n", + " sim_viewer = FresnelGSD(gsd_file=\"wetting_trajectory.gsd\", view_axis=(0, 1.5, 0), frame=-1)\n", + " sim_viewer.view()\n", + "else:\n", + " print(\"The GSD file from wetting_sim is not available!\")" ] }, { @@ -599,31 +567,24 @@ "metadata": {}, "outputs": [], "source": [ - "wetting_sim.run_NVT(kT=3.0, n_steps=2e5, tau_kt=wetting_sim.dt*100)\n", - "wetting_sim.flush_writers()" + "# Uncomment to run the surface wetting simulation longer:\n", + "\n", + "#wetting_sim.run_NVT(kT=3.0, n_steps=2e5, tau_kt=wetting_sim.dt*100)\n", + "#wetting_sim.flush_writers()" ] }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "id": "1ec84021-fccb-4372-abdc-fa5158014564", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "sim_viewer = FresnelGSD(gsd_file=\"wetting_trajectory.gsd\", view_axis=(0, 1.5, 0), frame=-1)\n", - "sim_viewer.view()" + "if os.path.exists(\"wetting_trajectory.gsd\"):\n", + " sim_viewer = FresnelGSD(gsd_file=\"wetting_trajectory.gsd\", view_axis=(0, 1.5, 0), frame=-1)\n", + " sim_viewer.view()\n", + "else:\n", + " print(\"The GSD file from wetting_sim is not available!\")" ] } ], @@ -643,7 +604,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.7" + "version": "3.11.0" } }, "nbformat": 4,