wilzbach/mangling.ipynb

## mangling.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "!nm -g generated/linux/debug/64/unittest/libphobos2-ut.so | cut -f3 -d ' ' > symbols_old\n",
    "!nm -g generated.mangle/linux/debug/64/unittest/libphobos2-ut.so | cut -f3 -d ' ' > symbols_mangle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "old = pd.read_csv(\"./symbols_old\", header=None, names=[\"name\"])\n",
    "mangle = pd.read_csv(\"./symbols_mangle\", header=None, names=[\"name\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "old[\"Len\"] = old[\"name\"].str.len()\n",
    "mangle[\"Len\"] = mangle[\"name\"].str.len()\n",
    "old = old.sort_values(\"Len\")\n",
    "mangle = mangle.sort_values(\"Len\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>Len</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>105774</th>\n",
       "      <td>_D3std9algorithm9iteration128__T3mapVAyaA36i11...</td>\n",
       "      <td>415706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106075</th>\n",
       "      <td>_D3std9algorithm9iteration138619__T9MapResultS...</td>\n",
       "      <td>415771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106072</th>\n",
       "      <td>_D3std9algorithm9iteration138619__T9MapResultS...</td>\n",
       "      <td>416001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106077</th>\n",
       "      <td>_D3std9algorithm9iteration138619__T9MapResultS...</td>\n",
       "      <td>416005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111967</th>\n",
       "      <td>_D3std9algorithm9searching138730__T4findVAyaa6...</td>\n",
       "      <td>416133</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     name     Len\n",
       "105774  _D3std9algorithm9iteration128__T3mapVAyaA36i11...  415706\n",
       "106075  _D3std9algorithm9iteration138619__T9MapResultS...  415771\n",
       "106072  _D3std9algorithm9iteration138619__T9MapResultS...  416001\n",
       "106077  _D3std9algorithm9iteration138619__T9MapResultS...  416005\n",
       "111967  _D3std9algorithm9searching138730__T4findVAyaa6...  416133"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "old.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>Len</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>110197</th>\n",
       "      <td>_D3std9algorithm9iteration__T9MapResultSQBm10f...</td>\n",
       "      <td>1133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110202</th>\n",
       "      <td>_D3std9algorithm9iteration__T9MapResultSQBm10f...</td>\n",
       "      <td>1134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110196</th>\n",
       "      <td>_D3std9algorithm9iteration__T9MapResultSQBm10f...</td>\n",
       "      <td>1138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110199</th>\n",
       "      <td>_D3std9algorithm9iteration__T9MapResultSQBm10f...</td>\n",
       "      <td>1139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110200</th>\n",
       "      <td>_D3std9algorithm9iteration__T9MapResultSQBm10f...</td>\n",
       "      <td>1142</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     name   Len\n",
       "110197  _D3std9algorithm9iteration__T9MapResultSQBm10f...  1133\n",
       "110202  _D3std9algorithm9iteration__T9MapResultSQBm10f...  1134\n",
       "110196  _D3std9algorithm9iteration__T9MapResultSQBm10f...  1138\n",
       "110199  _D3std9algorithm9iteration__T9MapResultSQBm10f...  1139\n",
       "110200  _D3std9algorithm9iteration__T9MapResultSQBm10f...  1142"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mangle.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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oBmCW3PPAo4PW23/xhYPWAwAAgNNxRhAAAABAJwRBAAAAAJ0QBAEAAAB0QhAEAAAA0AlB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\nAAAAoBP/D5SQq/fY/OZeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa2840e3358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 5))\n",
    "ax = sns.distplot(old[\"Len\"], kde=False)\n",
    "ax.set_title(\"master\")\n",
    "ax.set_yscale(\"log\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VrXc3PubSow9rfEwAAH7ZPoOgUsqxSS5NckSSraWU05KcmuS2Uso3k2xLcs50FgkAbdN0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\niVZV4hYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa284c36828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 5))\n",
    "n = 1200\n",
    "ax = sns.distplot(old[old[\"Len\"] < n][\"Len\"], kde=False, label=\"master\")\n",
    "ax.set_yscale(\"log\")\n",
    "ax = sns.distplot(mangle[mangle[\"Len\"] < n][\"Len\"], kde=False, hist_kws={\"color\": \"red\"}, label=\"pr/5855\")\n",
    "ax.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rHHtykpv2/zQAAAAAaNJUlpV9PsmnSimvTHJAkt9L8s0kV5VS3pakJrm61rq1lHJxkq8k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\nFb3YhuMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa285071be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 5))\n",
    "n = 300\n",
    "sns.distplot(old[old[\"Len\"] < n][\"Len\"], kde=False, label=\"master\")\n",
    "ax = sns.distplot(mangle[mangle[\"Len\"] < n][\"Len\"], kde=False, hist_kws={\"color\": \"red\"}, label=\"pr/5855\")\n",
    "ax.legend();"
   ]
  }
 ],
 "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": "3.6.1"
  },
  "toc": {
   "colors": {
    "hover_highlight": "#DAA520",
    "navigate_num": "#000000",
    "navigate_text": "#333333",
    "running_highlight": "#FF0000",
    "selected_highlight": "#FFD700",
    "sidebar_border": "#EEEEEE",
    "wrapper_background": "#FFFFFF"
   },
   "moveMenuLeft": true,
   "nav_menu": {
    "height": "30px",
    "width": "252px"
   },
   "navigate_menu": true,
   "number_sections": true,
   "sideBar": true,
   "threshold": 4,
   "toc_cell": false,
   "toc_position": {
    "height": "838px",
    "left": "0px",
    "right": "881.463px",
    "top": "65.9943px",
    "width": "108px"
   },
   "toc_section_display": "block",
   "toc_window_display": false,
   "widenNotebook": false
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 1,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

## symbols_old

      
    Raw
  

              symbols_old
            
          
## symbols_mangle
_aaApply
_aaApply2
_aaClear
_aaDelX
_aaEqual
_aaGetHash
_aaGetRvalueX
_aaGetY
_aaInX
_aaKeys
_aaLen
_aApplycd1
_aApplycd2
_aApplycw1
_aApplycw2
_aApplydc1
_aApplydc2
_aApplydw1
_aApplydw2
_aApplyRcd1
_aApplyRcd2
_aApplyRcw1
_aApplyRcw2
_aApplyRdc1
_aApplyRdc2
_aApplyRdw1
_aApplyRdw2
_aApplyRwc1
_aApplyRwc2
_aApplyRwd1
_aApplyRwd2
_aApplywc1
_aApplywc2
_aApplywd1
_aApplywd2
_aaRange
_aaRangeEmpty
_aaRangeFrontKey
_aaRangeFrontValue
_aaRangePopFront
_aaRehash
_aaValues
_aaVersion


_adCmp
_adCmp2
_adCmpChar
_adEq
_adEq2
adler32
adler32_combine
adler32_combine64
adler32_z
_adSort
_adSortChar
_adSortWchar
__alloca
_arrayExpSliceAddass_a
_arrayExpSliceAddass_d
_arrayExpSliceAddass_f
_arrayExpSliceAddass_g
_arrayExpSliceAddass_h
_arrayExpSliceAddass_i
_arrayExpSliceAddass_k
_arrayExpSliceAddass_s
_arrayExpSliceAddass_t
_arrayExpSliceAddass_u
_arrayExpSliceAddass_w
_arrayExpSliceDivass_d
_arrayExpSliceDivass_f
_arrayExpSliceDivass_i
_arrayExpSliceMinass_a
_arrayExpSliceMinass_d
_arrayExpSliceMinass_f
_arrayExpSliceMinass_g
_arrayExpSliceMinass_h
_arrayExpSliceMinass_i
_arrayExpSliceMinass_k
_arrayExpSliceMinass_s
_arrayExpSliceMinass_t
_arrayExpSliceMinass_u
_arrayExpSliceMinass_w
_arrayExpSliceMinSliceAssign_a
_arrayExpSliceMinSliceAssign_d
_arrayExpSliceMinSliceAssign_f
_arrayExpSliceMinSliceAssign_g
_arrayExpSliceMinSliceAssign_h
_arrayExpSliceMinSliceAssign_i
_arrayExpSliceMinSliceAssign_k
_arrayExpSliceMinSliceAssign_s
_arrayExpSliceMinSliceAssign_t
_arrayExpSliceMinSliceAssign_u
_arrayExpSliceMinSliceAssign_w
_arrayExpSliceMulass_d
_arrayExpSliceMulass_f
_arrayExpSliceMulass_i
_arrayExpSliceMulass_k
_arrayExpSliceMulass_s
_arrayExpSliceMulass_t
_arrayExpSliceMulass_u
_arrayExpSliceMulass_w
_arraySliceComSliceAssign_m
_arraySliceExpAddSliceAssign_a
_arraySliceExpAddSliceAssign_d
_arraySliceExpAddSliceAssign_f
_arraySliceExpAddSliceAssign_g
_arraySliceExpAddSliceAssign_h
_arraySliceExpAddSliceAssign_i
_arraySliceExpAddSliceAssign_k
_arraySliceExpAddSliceAssign_s
_arraySliceExpAddSliceAssign_t
_arraySliceExpAddSliceAssign_u
_arraySliceExpAddSliceAssign_w
_arraySliceExpDivSliceAssign_d
_arraySliceExpDivSliceAssign_f
_arraySliceExpMinSliceAssign_a
_arraySliceExpMinSliceAssign_d
_arraySliceExpMinSliceAssign_f
_arraySliceExpMinSliceAssign_g
_arraySliceExpMinSliceAssign_h
_arraySliceExpMinSliceAssign_i
_arraySliceExpMinSliceAssign_k
_arraySliceExpMinSliceAssign_s
_arraySliceExpMinSliceAssign_t
_arraySliceExpMinSliceAssign_u
_arraySliceExpMinSliceAssign_w
_arraySliceExpMulSliceAddass_d
_arraySliceExpMulSliceAddass_f
_arraySliceExpMulSliceAddass_r
_arraySliceExpMulSliceAssign_d
_arraySliceExpMulSliceAssign_f
_arraySliceExpMulSliceAssign_i
_arraySliceExpMulSliceAssign_k
_arraySliceExpMulSliceAssign_s
_arraySliceExpMulSliceAssign_t
_arraySliceExpMulSliceAssign_u
_arraySliceExpMulSliceAssign_w
_arraySliceExpMulSliceMinass_d
_arraySliceExpMulSliceMinass_f
_arraySliceExpMulSliceMinass_r
_arraySliceSliceAddass_a
_arraySliceSliceAddass_d
_arraySliceSliceAddass_f
_arraySliceSliceAddass_g
_arraySliceSliceAddass_h
_arraySliceSliceAddass_i
_arraySliceSliceAddass_k
_arraySliceSliceAddass_m
_arraySliceSliceAddass_s
_arraySliceSliceAddass_t
_arraySliceSliceAddass_u
_arraySliceSliceAddass_w
_arraySliceSliceAddSliceAssign_a
_arraySliceSliceAddSliceAssign_d
_arraySliceSliceAddSliceAssign_f
_arraySliceSliceAddSliceAssign_g
_arraySliceSliceAddSliceAssign_h
_arraySliceSliceAddSliceAssign_i
_arraySliceSliceAddSliceAssign_k
_arraySliceSliceAddSliceAssign_r
_arraySliceSliceAddSliceAssign_s
_arraySliceSliceAddSliceAssign_t
_arraySliceSliceAddSliceAssign_u
_arraySliceSliceAddSliceAssign_w
_arraySliceSliceAndSliceAssign_m
_arraySliceSliceComAndSliceAssign_m
_arraySliceSliceMinass_a
_arraySliceSliceMinass_d
_arraySliceSliceMinass_f
_arraySliceSliceMinass_g
_arraySliceSliceMinass_h
_arraySliceSliceMinass_i
_arraySliceSliceMinass_k
_arraySliceSliceMinass_s
_arraySliceSliceMinass_t
_arraySliceSliceMinass_u
_arraySliceSliceMinass_w
_arraySliceSliceMinSliceAssign_a
_arraySliceSliceMinSliceAssign_d
_arraySliceSliceMinSliceAssign_f
_arraySliceSliceMinSliceAssign_g
_arraySliceSliceMinSliceAssign_h
_arraySliceSliceMinSliceAssign_i
_arraySliceSliceMinSliceAssign_k
_arraySliceSliceMinSliceAssign_r
_arraySliceSliceMinSliceAssign_s
_arraySliceSliceMinSliceAssign_t
_arraySliceSliceMinSliceAssign_u
_arraySliceSliceMinSliceAssign_w
_arraySliceSliceMulass_d
_arraySliceSliceMulass_f
_arraySliceSliceMulass_i
_arraySliceSliceMulass_k
_arraySliceSliceMulass_s
_arraySliceSliceMulass_t
_arraySliceSliceMulass_u
_arraySliceSliceMulass_w
_arraySliceSliceMulSliceAssign_d
_arraySliceSliceMulSliceAssign_f
_arraySliceSliceMulSliceAssign_i
_arraySliceSliceMulSliceAssign_k
_arraySliceSliceMulSliceAssign_s
_arraySliceSliceMulSliceAssign_t
_arraySliceSliceMulSliceAssign_u
_arraySliceSliceMulSliceAssign_w
_arraySliceSliceOrSliceAssign_m
_arraySliceSliceXorSliceAssign_m


__bss_start


_Ccmp
_Cdiv


_Cmul
compress
compress2
compressBound

crc32
crc32_combine
crc32_combine64
crc32_z
_c_trace_epi
_c_trace_pro


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_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi0VEQDnQCtQCnQCl6Lengthi1VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei0VQCni3TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi0VEQDnQCtQCnQCl6Lengthi1VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei1VQCni0TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi0VEQDnQCtQCnQCl6Lengthi1VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei1VQCni1TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi0VEQDnQCtQCnQCl6Lengthi1VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei1VQCni2TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei0TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei0VQCni1TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei0TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei0VQCni2TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei0TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei0VQCni3TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei0TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei1VQCni1TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei0TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei1VQCni2TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei0TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei0VQCni1TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei0TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei0VQCni2TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei0TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei0VQCni3TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei0TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei1VQCni0TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei0TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei1VQCni1TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei0TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei1VQCni2TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei1TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei0VQCni1TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei1TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei0VQCni2TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei1TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei0VQCni3TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei1TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei1VQCni1TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei1TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei1VQCni2TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei1TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei0VQCni0TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei1TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei0VQCni2TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei1TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei0VQCni3TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei1TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei1VQCni0TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei1TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei1VQCni1TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei1TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei1VQCni2TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei0VQCni1TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei0VQCni2TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei0VQCni3TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei1VQCni1TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi0VQDei1VQCni2TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei0VQCni0TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei0VQCni1TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei0VQCni3TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
_D220TypeInfo_S3std5range__T5chainTSQv8internal4test10dummyrange__T10DummyRangeVEQCoQBuQBoQBm8ReturnByi1VEQDnQCtQCnQCl6Lengthi0VEQEkQDqQDkQDi9RangeTypei2TAkZQDmTSQFrQExQErQEp__TQEgVQDxi1VQDei1VQCni0TQBtZQFgZQGxFQGuQCbZ6Result6__initZ
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