{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/seap-udea/fargopy/blob/main/examples/fargopy-tutorial-control.ipynb)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

\n", "\n", "# Tutorial: control FARGO3D from Python" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Not running in Colab, skipping installation\n" ] } ], "source": [ "try:\n", " from google.colab import drive\n", " %pip install -Uq git+https://github.com/seap-udea/fargopy\n", "except ImportError:\n", " print(\"Not running in Colab, skipping installation\")\n", " %load_ext autoreload\n", " %autoreload 2\n", "!mkdir -p ./gallery/\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### What's in this notebook" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this notebook we illustrate in depth **how to control `FARGO3D` (setup, compile and run)** in `FARGOpy`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Before starting" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you are in `Google Colab`, install the latest version of the package:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For this tutorial you will need the following external modules and tools:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Your configuration file version '1.0.8' it is different than the installed version of FARGOpy '1.0.9'\n", "Running FARGOpy version 1.0.9\n" ] } ], "source": [ "import fargopy as fp\n", "import numpy as np \n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Let's `FARGOpy`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We call *control* the possibility to setup and run `FARGO3D` from an `IPython/Jupyter` session." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You should start by initializing fargopy, namely getting FARGO3D:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Downloading FARGOpy...\n", "Directory '/Users/jzuluaga/fargo3d/' already exists. Removing it...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Cloning into 'fargo3d'...\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\tFARGO3D downloaded to /Users/jzuluaga/fargo3d/\n", "Header file for FARGO3D found in the fargo directory /Users/jzuluaga/fargo3d/\n" ] } ], "source": [ "fp.initialize('download', force=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First we need to create an empty `Simulation` object:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Your simulation is now connected with '/Users/jzuluaga/fargo3d/'\n" ] } ], "source": [ "sim = fp.Simulation()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can verify that the simulation is clean by printing the object:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Simulation information:\n", " FARGO3D directory: /Users/jzuluaga/fargo3d/\n", " Outputs: /Users/jzuluaga/fargo3d/outputs\n", " Setups: /Users/jzuluaga/fargo3d/setups\n", " Units:\n", " G = 1 UL^3/(UM UT^2)\n", " UL, UM, UT = 14959800000000.0 m, 1.9891e+33 kg, 5022421.439871778 s\n", " UE = 5271139.687948494 J/m^3\n", " UV = 2978603.086001067 m/s\n", " URHO = 5.941269533317109e-07 kg/m^3\n", " USIGMA = 8888020.39645173 kg/m^2\n", " Setup: None\n", " Setup directory: None\n", " Output directory: None\n", "\n" ] } ], "source": [ "print(sim)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next thing to do is to select the `setup` you want to control. You can obtain a list of setups using:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Setup 'binary' in '/Users/jzuluaga/fargo3d/setups/binary'\n", "Setup 'fargo' in '/Users/jzuluaga/fargo3d/setups/fargo'\n", "Setup 'fargo_multifluid' in '/Users/jzuluaga/fargo3d/setups/fargo_multifluid'\n", "Setup 'fargo_nu' in '/Users/jzuluaga/fargo3d/setups/fargo_nu'\n", "Setup 'mri' in '/Users/jzuluaga/fargo3d/setups/mri'\n", "Setup 'otvortex' in '/Users/jzuluaga/fargo3d/setups/otvortex'\n", "Setup 'p3diso' in '/Users/jzuluaga/fargo3d/setups/p3diso'\n", "Setup 'p3disof' in '/Users/jzuluaga/fargo3d/setups/p3disof'\n", "Setup 'sod1d' in '/Users/jzuluaga/fargo3d/setups/sod1d'\n", "\n" ] } ], "source": [ "fp.Simulation.list_setups()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Choose a setup:" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Now your simulation setup is at '/Users/jzuluaga/fargo3d/setups/p3diso'\n" ] }, { "data": { "text/plain": [ "'p3diso'" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sim.set_setup('p3diso')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Compile the `FARGO3D` binary to run the simulation:" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Compiling fargo3d-SETUP_p3diso-PARALLEL_0-GPU_0...\n", "Succesful compilation of FARGO3D binary fargo3d-SETUP_p3diso-PARALLEL_0-GPU_0\n" ] } ], "source": [ "sim.compile(parallel=0,gpu=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Run the simulation:" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "No output directory /Users/jzuluaga/fargo3d/outputs/p3diso yet created.\n", "Running asynchronously (test = False): ./fargo3d-SETUP_p3diso-PARALLEL_0-GPU_0 -m -t setups/p3diso/p3diso.par\n", "Now you are connected with output directory '/Users/jzuluaga/fargo3d/outputs/p3diso'\n", "Found a variables.par file in '/Users/jzuluaga/fargo3d/outputs/p3diso', loading properties\n", "Loading variables\n", "85 variables loaded\n", "Simulation in 3 dimensions\n", "Loading domain in spherical coordinates:\n", "\tVariable phi: 100 [[0, np.float64(-3.1101767270538954)], [-1, np.float64(3.1101767270538954)]]\n", "\tVariable r: 80 [[0, np.float64(0.605625)], [-1, np.float64(1.494375)]]\n", "\tVariable theta: 20 [[0, np.float64(1.4245463267948968)], [-1, np.float64(1.5670463267948964)]]\n", "Number of snapshots in output directory: 1\n", "Planets found in summary.dat:\n", " Name: SuperEarth, Initial pos: [1.0, 1e-05, 0.0], Mass: 1e-05\n" ] } ], "source": [ "sim.run(cleanrun=True,unlock=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Or check the progress of the simulation:" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "################################################################################\n", "\n", "Progress of the simulation (interrupt by pressing the stop button):\n", "1:OUTPUTS 0 at date t = 0.000000 OK [output pace = 0.1 secs]\n", "2:OUTPUTS 1 at date t = 3.141593 OK [output pace = 0.1 secs]\n", "3:OUTPUTS 2 at date t = 6.283185 OK [output pace = 2.1 secs]\n", "4:OUTPUTS 3 at date t = 9.424778 OK [output pace = 4.3 secs]\n", "5:OUTPUTS 4 at date t = 12.566371 OK [output pace = 4.3 secs]\n", "\n", "Other status modes: 'isrunning', 'logfile', 'outputs', 'progress', 'summary'\n" ] } ], "source": [ "sim.status('progress')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You may stop the simulation at any time using:" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The process is locked by PID 40033\n", "Stopping FARGO3D process (pid = 40033)\n" ] } ], "source": [ "sim.stop()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Check the status of the simulation using:" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "################################################################################\n", "Running status of the process:\n", "\tThe process is stopped.\n", "\n", "################################################################################\n", "Summary:\n", "The simulation has been ran for 5 time-steps (including the initial one).\n", "\n", "################################################################################\n", "\n", "Progress of the simulation (interrupt by pressing the stop button):\n", "The simulation is not running anymore\n", "\n", "Other status modes: 'isrunning', 'logfile', 'outputs', 'progress', 'summary'\n" ] } ], "source": [ "sim.status('isrunning summary progress')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once stopped you may resume the simulation at any snapshot or at the latest resumable snapshot:" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Resuming from snapshot 3...\n", "Running asynchronously (test = False): ./fargo3d-SETUP_p3diso-PARALLEL_0-GPU_0 -m -t -S 3 -t setups/p3diso/p3diso.par\n", "Now you are connected with output directory '/Users/jzuluaga/fargo3d/outputs/p3diso'\n", "Found a variables.par file in '/Users/jzuluaga/fargo3d/outputs/p3diso', loading properties\n", "Loading variables\n", "85 variables loaded\n", "Simulation in 3 dimensions\n", "Loading domain in spherical coordinates:\n", "\tVariable phi: 100 [[0, np.float64(-3.1101767270538954)], [-1, np.float64(3.1101767270538954)]]\n", "\tVariable r: 80 [[0, np.float64(0.605625)], [-1, np.float64(1.494375)]]\n", "\tVariable theta: 20 [[0, np.float64(1.4245463267948968)], [-1, np.float64(1.5670463267948964)]]\n", "Number of snapshots in output directory: 5\n", "Planets found in summary.dat:\n", " Name: SuperEarth, Initial pos: [1.0, 1e-05, 0.0], Mass: 1e-05\n" ] } ], "source": [ "sim.resume()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once the simulation has been completed you will notice by ran:" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The process is locked by PID 40409\n", "Stopping FARGO3D process (pid = 40409)\n" ] } ], "source": [ "sim.stop()" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading simulation from '/Users/jzuluaga/fargo3d/setups/p3diso/fargopy_simulation.json'\n", "Your simulation is now connected with '/Users/jzuluaga/fargo3d/'\n", "Now your simulation setup is at '/Users/jzuluaga/fargo3d/setups/p3diso'\n", "Now you are connected with output directory '/Users/jzuluaga/fargo3d/outputs/p3diso'\n", "Found a variables.par file in '/Users/jzuluaga/fargo3d/outputs/p3diso', loading properties\n", "Loading variables\n", "85 variables loaded\n", "Simulation in 3 dimensions\n", "Loading domain in spherical coordinates:\n", "\tVariable phi: 100 [[0, np.float64(-3.1101767270538954)], [-1, np.float64(3.1101767270538954)]]\n", "\tVariable r: 80 [[0, np.float64(0.605625)], [-1, np.float64(1.494375)]]\n", "\tVariable theta: 20 [[0, np.float64(1.4245463267948968)], [-1, np.float64(1.5670463267948964)]]\n", "Number of snapshots in output directory: 5\n", "Planets found in summary.dat:\n", " Name: SuperEarth, Initial pos: [1.0, 1e-05, 0.0], Mass: 1e-05\n" ] } ], "source": [ "sim = fp.Simulation(setup='p3diso',load=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's read the field we want to animate, eg. the gas density. It is important to notice that we will animate the field in a slice corresponding to $z=0$:" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [], "source": [ "fields_spherical = sim.load_field(\n", " fields='gasdens',\n", " snapshot=[1, sim.nsnaps-1],\n", " coords='spherical',\n", " slice='theta=1.56'\n", ")\n", "\n", "fields_cartesian = sim.load_field(\n", " fields='gasdens',\n", " snapshot=[1, sim.nsnaps-1],\n", " coords='cartesian',\n", " slice='theta=1.56'\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And the plot can be done using:" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [], "source": [ "snapshot = 1\n", "\n", "phi = fields_spherical.var1_mesh[snapshot]\n", "r = fields_spherical.var2_mesh[snapshot]\n", "\n", "x = fields_cartesian.var1_mesh[snapshot]\n", "y = fields_cartesian.var2_mesh[snapshot]\n", "\n", "gasdens_plane = fields_cartesian.gasdens_mesh[snapshot]" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "ename": "SyntaxError", "evalue": "invalid syntax (1739733494.py, line 1)", "output_type": "error", "traceback": [ " \u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[62]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[31m \u001b[39m\u001b[31mNow we can plot the result:\u001b[39m\n ^\n\u001b[31mSyntaxError\u001b[39m\u001b[31m:\u001b[39m invalid syntax\n" ] } ], "source": [ "Now we can plot the result:" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.close('all')\n", "fig,axs = plt.subplots(1,2,figsize=(12,6))\n", "cmap = 'turbo'\n", "\n", "ax = axs[0]\n", "ax.pcolormesh(phi*fp.RAD,r*sim.UL/fp.AU,np.log10(gasdens_plane*sim.USIGMA),cmap=cmap)\n", "ax.set_xlabel('$\\phi$ [deg]')\n", "ax.set_ylabel('$r$ [au]')\n", "\n", "ax = axs[1]\n", "c = ax.pcolormesh(x*sim.UL/fp.AU,y*sim.UL/fp.AU,np.log10(gasdens_plane*sim.USIGMA),cmap=cmap)\n", "ax.set_xlabel('$x$ [au]')\n", "ax.set_ylabel('$y$ [au]')\n", "ax.axis('equal')\n", "fp.Plot.fargopy_mark(ax, frac=1/4)\n", "\n", "axc = fig.colorbar(c)\n", "axc.set_label(\"$\\Sigma$ [g/cm$^2$]\")\n", "plt.savefig('gallery/fargopy-tutorial-animations_0.png') # Save figure\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "*Powered by fargopy*. For more examples see [fargopy GitHub repo](https://github.com/seap-udea/fargopy/tree/main/examples). \n", "\n", "Jorge I. Zuluaga, Alejandro Murillo-Gonz\u00e1lez and Mat\u00edas Montesinos \u00a9 2023-present\n" ] } ], "metadata": { "kernelspec": { "display_name": ".fargopy", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.5" } }, "nbformat": 4, "nbformat_minor": 2 }