ini_device.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "waiting-chance",
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "moving-alexandria",
   "metadata": {},
   "outputs": [],
   "source": [
    "d=DeviceProxy(\"LTS/ini_device/1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "id": "ranking-aluminum",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Device is now in on state\n"
     ]
    }
   ],
   "source": [
    "state = str(d.state())\n",
    "\n",
    "if state == \"OFF\":\n",
    "    d.initialise()\n",
    "    time.sleep(1)\n",
    "state = str(d.state())\n",
    "if state == \"STANDBY\":\n",
    "    d.on()\n",
    "state = str(d.state())\n",
    "if state == \"ON\":\n",
    "    print(\"Device is now in on state\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "beneficial-evidence",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "double_scalar_RW [0.]\n",
      "double_scalar_R [1.2]\n",
      "bool_scalar_RW [False]\n",
      "bool_scalar_R [ True]\n",
      "int_scalar_RW [0]\n",
      "int_scalar_R [5]\n",
      "str_scalar_RW ('',)\n",
      "str_scalar_R ('this is',)\n",
      "double_spectrum_RW [0. 0. 0. 0.]\n",
      "double_spectrum_R [1.2 2.3 3.4 4.5]\n",
      "bool_spectrum_RW [False False False False]\n",
      "bool_spectrum_R [ True  True False False]\n",
      "int_spectrum_RW [0 0 0 0]\n",
      "int_spectrum_R [1 2 3 4]\n",
      "str_spectrum_RW ('', '', '', '')\n",
      "str_spectrum_R ('\"a\"', ' \"b\"', ' \"c\"', ' \"d\"')\n",
      "double_image_RW [[0. 0. 0.]\n",
      " [0. 0. 0.]]\n",
      "double_image_R [[1.2 2.3 3.4]\n",
      " [4.5 5.6 6.7]]\n",
      "bool_image_RW [[False False False]\n",
      " [False False False]]\n",
      "bool_image_R [[ True  True False]\n",
      " [False  True False]]\n",
      "int_image_RW [[0 0 0]\n",
      " [0 0 0]]\n",
      "int_image_R [[1 2 3]\n",
      " [4 5 6]]\n",
      "str_image_RW (('', '', ''), ('', '', ''))\n",
      "str_image_R (('\"a\"', ' \"b\"', ' \"c\"'), (' \"d\"', ' \"e\"', ' \"f\"'))\n",
      "State <function __get_command_func.<locals>.f at 0x7f3efee95c80>\n",
      "Status <function __get_command_func.<locals>.f at 0x7f3efee95c80>\n"
     ]
    }
   ],
   "source": [
    "attr_names = d.get_attribute_list()\n",
    "\n",
    "for i in attr_names:\n",
    "    try:\n",
    "        exec(\"print(i, d.{})\".format(i))\n",
    "    except:\n",
    "        pass\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "sharing-mechanics",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0])"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.int_scalar_RW"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "2f03759a",
   "metadata": {},
   "outputs": [],
   "source": [
    "d.str_image_RW = [[\"1\", \"2\", \"3\"],[\"4\", \"5\", \"6\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "3187f3bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(('1', '2', '3'), ('4', '5', '6'))"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.str_image_RW"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "eb406dce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"['a', 'b', 'c', 'd', 'e', 'f']\""
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numpy.str_([\"a\", \"b\", \"c\", \"d\", \"e\", \"f\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "7b270085",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "array = []\n",
    "string = '\"a\", \"b\", \"c\", \"d\", \"e\", \"f\"'\n",
    "\n",
    "for i in string.split(\",\"):\n",
    "    value = numpy.str_(i)\n",
    "    array.append(value)\n",
    "\n",
    "len(array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "69ecc437",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "StationControl",
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   "codemirror_mode": {
    "name": "ipython",
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