{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Blinding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "from freeforestml import Variable, Process, Cut, hist, McStack, DataStack, Stack, \\\n",
    "                    RangeBlindingStrategy\n",
    "from freeforestml import toydata, example_style\n",
    "example_style()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = toydata.get()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Setup processes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "p_ztt = Process(r\"$Z\\rightarrow\\tau\\tau$\", range=(0, 0))\n",
    "p_sig = Process(r\"Signal\", range=(1, 1))\n",
    "\n",
    "p_asimov = Process(r\"Asimov\", selection=lambda d: d.fpid >= 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Setup up stacks:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "colors = [\"windows blue\", \"amber\", \"greyish\", \"faded green\", \"dusty purple\"]\n",
    "s_mc = McStack(p_ztt, p_sig, palette=sns.xkcd_palette(colors))\n",
    "s_data = DataStack(p_asimov)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define the blinding strategy for a variables:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "b_higgs_m = RangeBlindingStrategy(99, 150)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The the blinding strategy to the variable definition."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "v_higgs_m = Variable(r\"$m^H$\", \"higgs_m\", \"GeV\", blinding=b_higgs_m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Stacks passed to `blind` argument will be blinded according to blind strategy of variable `v_higgs_m`. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Blind data stack"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hist(df, v_higgs_m, 20, [s_mc, s_data], range=(0, 200),\n",
    "     weight=\"weight\",  ratio_label=\"Data / SM\", blind=[s_data], diff=True)\n",
    "None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Blind MC stack"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hist(df, v_higgs_m, 20, [s_mc, s_data], range=(0, 200),\n",
    "     weight=\"weight\",  ratio_label=\"Data / SM\", blind=[s_mc])\n",
    "None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Blind both stacks\n",
    "`blind` argument can be a single stack or a list of stacks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hist(df, v_higgs_m, 20, [s_mc, s_data], range=(0, 200),\n",
    "     weight=\"weight\",  ratio_label=\"Data / SM\", blind=[s_mc, s_data])\n",
    "None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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