{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "e7b5e13a-c059-441d-8d4f-fff080d52054",
   "metadata": {},
   "source": [
    "# Passive degrees of freedom\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "c18ef717",
   "metadata": {},
   "source": [
    "Passive dofs!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e6bfcf73",
   "metadata": {},
   "outputs": [],
   "source": [
    "from blop.utils import prepare_re_env\n",
    "\n",
    "%run -i $prepare_re_env.__file__ --db-type=temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4cf5dbd1-e404-4504-b822-3956ca61ef74",
   "metadata": {},
   "outputs": [],
   "source": [
    "from blop.digestion.tests import constrained_himmelblau_digestion\n",
    "from blop import DOF, Agent, Objective\n",
    "from blop.dofs import BrownianMotion\n",
    "\n",
    "\n",
    "dofs = [\n",
    "    DOF(name=\"x1\", search_domain=(-5.0, 5.0)),\n",
    "    DOF(name=\"x2\", search_domain=(-5.0, 5.0)),\n",
    "    DOF(name=\"x3\", search_domain=(-5.0, 5.0), active=False),\n",
    "    DOF(device=BrownianMotion(name=\"brownian1\"), read_only=True),\n",
    "    DOF(device=BrownianMotion(name=\"brownian2\"), read_only=True, active=False),\n",
    "]\n",
    "\n",
    "objectives = [\n",
    "    Objective(name=\"himmelblau\", target=\"min\"),\n",
    "]\n",
    "\n",
    "agent = Agent(\n",
    "    dofs=dofs,\n",
    "    objectives=objectives,\n",
    "    digestion=constrained_himmelblau_digestion,\n",
    "    db=db,\n",
    "    verbose=True,\n",
    "    tolerate_acquisition_errors=False,\n",
    ")\n",
    "\n",
    "RE(agent.learn(\"qr\", n=16))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "990a877e-f533-419c-bf5d-569ad7e72c6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "agent.plot_objectives()"
   ]
  }
 ],
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   "language": "python",
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