{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ec5412d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "be1f0d01",
   "metadata": {},
   "outputs": [],
   "source": [
    "byte1= np.array([0x12, 0xe3, 0x9b])\n",
    "byte2 = np.array([0x12, 0xe3, 0x9c])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c256a3d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 7], dtype=uint8)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "v = byte1^byte2\n",
    "v1 = np.array (v,dtype = np.uint8)\n",
    "v1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "227f0142",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,\n",
       "       1, 1], dtype=uint8)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "z = np.unpackbits(v1)\n",
    "z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "092d8dae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = sum(z)\n",
    "a"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1551b295",
   "metadata": {},
   "source": [
    "# TEST Längenanpassung"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "034142b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_byte=np.array([31, 53] + [0x12, 0xe3, 0x9b, 0xee, 0x84, 0x23, 0x41, 0xf3])\n",
    "test_byte\n",
    "vlen= 10 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f203fbce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(test_byte)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fc4fef77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inp= ([31, 53,0x12, 0xe3, 0x9b, 0xee, 0x84, 0x23, 0x41, 0xf3]+[30, 53,0x12, 0xe3, 0x9b, 0xee, 0x84, 0x23, 0x41, 0xf3])\n",
    "len(inp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "74ae964c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "v = test_byte^inp[:vlen]\n",
    "v"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5a1d95f1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 0 0 0 0 0 0 0 0 0]\n",
      "[0 0 0 0 0 0 0 0 0 0]\n",
      "[0 0 0 0 0 0 0 0 0 0]\n",
      "[0 0 0 0 0 0 0 0 0 0]\n",
      "[0 0 0 0 0 0 0 0 0 0]\n",
      "[0 0 0 0 0 0 0 0 0 0]\n",
      "[0 0 0 0 0 0 0 0 0 0]\n",
      "[0 0 0 0 0 0 0 0 0 0]\n",
      "[0 0 0 0 0 0 0 0 0 0]\n"
     ]
    }
   ],
   "source": [
    "for i in range(1,10):\n",
    "    v = test_byte^inp[:vlen]\n",
    "    print(v)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e96c7bf",
   "metadata": {},
   "source": [
    "# Test meister Wert \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "90d18368",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Length: 10\n",
      "Inp_vector:[31, 53, 18, 227, 155, 238, 132, 35, 65, 243]\n",
      "BER 6 in Paket 31\n",
      "BER 6 in Paket 53\n",
      "BER 4 in Paket 18\n",
      "BER 2 in Paket 227\n",
      "BER 4 in Paket 155\n",
      "BER 12 in Paket 238\n",
      "BER 10 in Paket 132\n",
      "BER 0 in Paket 35\n",
      "BER 6 in Paket 65\n",
      "BER 2 in Paket 243\n"
     ]
    }
   ],
   "source": [
    "inp = ([31, 53,0x12, 0xe3, 0x9b, 0xee, 0x84, 0x23, 0x41, 0xf3])\n",
    "#inp[1] = ([31, 53,0x12, 0xe5, 0x9b, 0xee, 0x84, 0x23, 0x41, 0xf3])\n",
    "#inp[2] = ([31, 53,0x13, 0xe3, 0x9b, 0xee, 0x84, 0x23, 0x41, 0xf3])\n",
    "\n",
    "vgl = ([31, 53] + [0x12, 0xe3, 0x9b, 0xee, 0x84, 0x23, 0x41, 0xf3])\n",
    "\n",
    "\n",
    "print(f\"Length: {len(inp)}\")\n",
    "print(f\"Inp_vector:{inp}\")\n",
    "        \n",
    "for i in inp:\n",
    "    i = np.array(i, dtype=np.uint8)\n",
    "    v = np.array(vgl, dtype=np.uint8) ^ i\n",
    "    ber = sum(np.unpackbits(v))\n",
    "\n",
    "    trueber = ber - 32\n",
    "    if trueber < 0:\n",
    "        trueber = 0\n",
    "    print(f\"BER {trueber} in Paket {i}\")\n",
    "\n",
    "    #print(f\"max BER {np.max(trueber)} in Paket {i}\")\n",
    "        \n",
    "    #self.send(self.encode(trueber))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "72ca6e60",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3a891089",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6489bfcc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fda1e417",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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