{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Manipulate Datafiles\n\nThis snippet loads a datafile and modifies its contents\n\nDownload Input files\n\n* :download:`dipole_2d.data <../../../../../examples/input_files/dipole_2d.data>`\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Setting up\nLoad Datafile into RoxieInputBuilder object\n\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import pathlib\nimport tempfile\n\nfrom roxieapi.input.builder import RoxieInputBuilder\n\nfolder = pathlib.Path(\"../input_files\").absolute()\ndatafile = \"dipole_2d.data\"\n\nrib = RoxieInputBuilder.from_datafile(folder / datafile)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Change flags and metadata\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "rib.comment = \"Python modified datafile\"\nrib.flags[\"LDEBUG\"] = True\nrib.flags[\"LFORCE2D\"] = True\n\nrib.flags"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Check defined Blocks\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "rib.block"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Update alpha angle of block no 4\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "# Dataframe index 3 corresponds to Block no 4\nrib.block.loc[3, \"alpha\"] = 23.2\n\nrib.block"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Generate new datafile\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "tmp_dir = pathlib.Path(tempfile.gettempdir())\ntmp_file = tmp_dir / \"temp.data\"\nrib.build(str(tmp_file))\n\nwith open(tmp_file, \"r\") as f:\n    print(f.read())"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.20"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}