tools/elf-optimize/elf_analyze_pro.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 利用ELF文件分析Flash和Sram占用\n",
    "输入文件：  \n",
    "1.linker.cmd是链接依赖文件，决定不同section在FLASH还是SRAM中，或者兼而有之。  \n",
    "2.iot_ap.elf是对应的ELF文件，可以获取不同section大小，以及symbol属性。\n",
    "\n",
    "输出两种形式：  \n",
    "1.页内显示top_counts个最大symbol  \n",
    "2.将每个section的symbol输出到一个csv文件中  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-10-31T12:05:24.119000Z",
     "start_time": "2017-10-31T12:05:24.107000Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1 预处理：分析linker.cmd，获取Section，获取Symbol"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过分析linker.cmd，获取section是保存在FLASH， SRAM还是都保存。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-10-31T12:05:24.211000Z",
     "start_time": "2017-10-31T12:05:24.127000Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "linker_cmd = 'linker.cmd'\n",
    "elf_file = 'iot_ap.elf'\n",
    "\n",
    "elf_data = {'flash_capacity':274*1024, 'flash_size':0, 'sram_capacity':71*1024, 'sram_size':0}\n",
    "\n",
    "linker_lines = open(linker_cmd, 'r').readlines()\n",
    "linker_cmd_fmt = ' *(?P<section>.*).*:.*'\n",
    "#sections = {'name':[], 'flash':[], 'sram':[]}\n",
    "section_location_map = {}\n",
    "section_name = ''\n",
    "section_flash = 0\n",
    "section_sram = 0\n",
    "\n",
    "for line in linker_lines:\n",
    "\n",
    "    if '> FLASH' in line:\n",
    "        section_flash = 1\n",
    "    if '> SRAM' in line:\n",
    "        section_sram = 1\n",
    "    m = re.match(linker_cmd_fmt, line)\n",
    "    if not m:\n",
    "        continue\n",
    "\n",
    "    if section_name != 'null' and section_name != '':\n",
    "        section_location_map[section_name] = [section_flash, section_sram]\n",
    "\n",
    "    section_flash = 0\n",
    "    section_sram = 0\n",
    "    section_name = m.group('section')\n",
    "    section_name = section_name.split(' ')[0]\n",
    "\n",
    "#for i in section_location_map:\n",
    "#    print i, section_location_map[i]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过分析elf的Section Headers得知：section_location_map的section名称和elf_lists中section index的对应关系。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-10-31T12:05:24.374000Z",
     "start_time": "2017-10-31T12:05:24.214000Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tmp = os.popen('readelf -S %s' % elf_file).readlines()\n",
    "section_fmt = ' *\\[(?P<index>.*)\\] (?P<message>.*)'\n",
    "flash_size_total = 0\n",
    "sram_size_total = 0\n",
    "section_data = {}\n",
    "for line in tmp:\n",
    "    m = re.match(section_fmt, line)\n",
    "    if not m:\n",
    "        continue\n",
    "    section_index = m.group('index').strip()\n",
    "    message = m.group('message')\n",
    "    section_line_list = re.split(r'\\s+', message)\n",
    "    \n",
    "#  [Nr] Name              Type            Addr     Off    Size   ES Flg Lk Inf Al\n",
    "#  [ 1] text              PROGBITS        0ffaf800 0000b8 024f64 00 WAX  0   0  4\n",
    "\n",
    "    if section_line_list[4] != 'Size':\n",
    "        section_line_list[4] = int(section_line_list[4], 16)\n",
    "\n",
    "        section_name = section_line_list[0]\n",
    "        section_addr = section_line_list[2]\n",
    "        section_size = section_line_list[4]\n",
    "\n",
    "        if section_location_map.has_key(section_name):\n",
    "            section_data[section_index] = {'size':section_size, \n",
    "                                              'addr':section_addr, \n",
    "                                              'name':section_name, \n",
    "                                              'flash':section_location_map[section_name][0],\n",
    "                                              'sram':section_location_map[section_name][1]}\n",
    "#for i in section_data:\n",
    "#    print section_data[i]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过分析elf文件，获取所有符号的相关信息：size, address, section, name。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-10-31T12:05:24.566000Z",
     "start_time": "2017-10-31T12:05:24.375000Z"
    },
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "elf_summary = elf_file.split('.')[0]\n",
    "symbol_lists = []\n",
    "top_counts = 20\n",
    "data_sections = {}\n",
    "\n",
    "if not os.path.exists(elf_summary):\n",
    "    os.mkdir(elf_summary)\n",
    "\n",
    "#elf_summary_object = open(elf_summary, 'wb')\n",
    "\n",
    "tmp = os.popen('readelf -s %s' % elf_file).readlines()\n",
    "elf_symbol_fmt = ' *(?P<num>[0-9]*): (?P<value>[0-9abcdef]*) *(?P<size>[0-9]*).*'\n",
    "for line in tmp:\n",
    "    m = re.match(elf_symbol_fmt, line)\n",
    "    if not m:\n",
    "        continue\n",
    "    #num = m.group('num')\n",
    "    symbol_line_list = re.split(r'\\s+', line)\n",
    "\n",
    "    if symbol_line_list[3][0:2] == '0x':\n",
    "        symbol_line_list[3] = int(symbol_line_list[3][2:], 16)\n",
    "    #       size             address            section             name\n",
    "    symbol_name = symbol_line_list[8]\n",
    "    symbol_size = symbol_line_list[3]\n",
    "    symbol_section = symbol_line_list[7]\n",
    "    symbol_addr = symbol_line_list[2]\n",
    "    symbol_lists.append([symbol_size, symbol_addr, symbol_section, symbol_name])\n",
    "#elf_summary_object.writelines(tmp)\n",
    "#elf_summary_object.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2 处理数据：按Section分类，对每Section数据降序排列\n",
    "1.获取每个Symbol的size， address， section， name。  \n",
    "2.计算每个section实际占用空间：Flash或者Sram。  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-10-31T12:05:24.652000Z",
     "start_time": "2017-10-31T12:05:24.568000Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[140830, 6874, 1275, 1552, 130045] ['text', 'rodata', 'datas', 'others', 'flash_free'] [0.01, 0.01, 0.01, 0.01, 0.1]\n"
     ]
    }
   ],
   "source": [
    "elf_data['flash_size'] = 0\n",
    "elf_data['sram_size'] = 0\n",
    "\n",
    "flash_sizes = []\n",
    "flash_other_size = 0\n",
    "flash_labels = []\n",
    "flash_explode = []\n",
    "sram_sizes = []\n",
    "sram_other_size = 0\n",
    "sram_labels = []\n",
    "sram_explode = []\n",
    "\n",
    "symbol_data = pd.DataFrame(np.asarray(symbol_lists), columns=['size', 'address', 'section', 'name'])\n",
    "symbol_data['size'] = symbol_data['size'].astype(int)\n",
    "symbol_data.sort_values(by=['size'], ascending=False).to_csv('%s/%s.csv' % (elf_summary, 'top_all'))\n",
    "\n",
    "for section in section_data:\n",
    "    section_data[section]['symbol_data'] = symbol_data[symbol_data['section'] == section].sort_values(by=['size'], ascending=False)\n",
    "\n",
    "for section in section_data:\n",
    "    section_size = 0\n",
    "    #print section_data[section]['name'], section_data[section]['symbol_data']['size'].astype(int).sum(), section_data[section]['size']\n",
    "    section_data[section]['size'] = section_data[section]['symbol_data']['size'].astype(int).sum()\n",
    "\n",
    "for section in section_data:\n",
    "    if section_data[section]['flash']:\n",
    "        elf_data['flash_size'] += section_data[section]['size']\n",
    "        if section_data[section]['size'] < 1024:\n",
    "            flash_other_size += section_data[section]['size']\n",
    "        else:\n",
    "            flash_sizes.append(section_data[section]['size'])\n",
    "            flash_labels.append(section_data[section]['name'])\n",
    "            flash_explode.append(0.01)\n",
    "\n",
    "    if section_data[section]['sram']:\n",
    "        elf_data['sram_size'] += section_data[section]['size']\n",
    "        if section_data[section]['size'] < 512:\n",
    "            sram_other_size += section_data[section]['size']\n",
    "        else:\n",
    "            sram_sizes.append(section_data[section]['size'])\n",
    "            sram_labels.append(section_data[section]['name'])\n",
    "            sram_explode.append(0.01)\n",
    "\n",
    "flash_sizes.append(flash_other_size)\n",
    "flash_labels.append('others')\n",
    "flash_explode.append(0.01)\n",
    "\n",
    "sram_sizes.append(sram_other_size)\n",
    "sram_labels.append('others')\n",
    "sram_explode.append(0.01)\n",
    "\n",
    "flash_sizes.append(elf_data['flash_capacity'] - elf_data['flash_size'])\n",
    "flash_labels.append('flash_free')\n",
    "flash_explode.append(0.1)\n",
    "\n",
    "sram_sizes.append(elf_data['sram_capacity'] - elf_data['sram_size'])\n",
    "sram_labels.append('sram_free')\n",
    "sram_explode.append(0.1)\n",
    "\n",
    "print flash_sizes, flash_labels, flash_explode"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3 输出结果\n",
    "1.占用的总Flash或者Sram空间。  \n",
    "2.将每个Section的symbol按大小降序排列输出到csv文件。  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-10-31T12:05:25.409000Z",
     "start_time": "2017-10-31T12:05:24.653000Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total FLASH usage: 150531/280576\n",
      "Total SRAM usage: 71160/72704\n"
     ]
    },
    {
     "data": {
      "image/png": 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yHYj65ZWlbxQtA2CuGIUAmDt12x+d5B6ZDkH3SHJc2SKAYnYmuXT1+I+uGf4g04HoPcsr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\nVJne8xWMQmy6J5UOAAAA4Co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4nMsNDJsGAPgZpZCHUAoFG6UQACAsBlsK6VW5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\nZdl7giC4GujNsuwvx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PKFm/iy1UkuTzJXSjk0N5RgAADLSikEACzIcI+h301ydJLzk/w8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1wIoR3lsm2U+omF3O8M2qJUlqFn/X07hZFOoe7hSSJHW7XcDTFc979RR6eSYPAbkR3v+DOB8/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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xca80c30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print 'Total FLASH usage: %d/%d' % (elf_data['flash_size'], elf_data['flash_capacity'])\n",
    "print 'Total SRAM usage: %d/%d' % (elf_data['sram_size'], elf_data['sram_capacity'])\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "plt.subplot(2, 1, 1)\n",
    "plt.pie(flash_sizes, explode=flash_explode, labels=flash_labels, autopct='%.2f%%', shadow=False, startangle=90)\n",
    "plt.title('The usage of Flash')\n",
    "\n",
    "plt.subplot(2, 1, 2)\n",
    "plt.pie(sram_sizes, explode=sram_explode, labels=sram_labels, autopct='%.2f%%', shadow=False, startangle=90)\n",
    "plt.title('The usage of Sram')\n",
    "\n",
    "fig.set_size_inches(20, 44)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-10-31T12:05:25.539000Z",
     "start_time": "2017-10-31T12:05:25.411000Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Section _k_sem_area info: Size = 100 , Location:( FLASH, SRAM )\n",
      "      size   address section                     name\n",
      "4292    20  0001271c      11         recv_malloc_full\n",
      "2186    20  00012730      11             startup_sync\n",
      "2645    20  000126f4      11            network_event\n",
      "4208    20  00012708      11             ping_timeout\n",
      "4976    20  00012744      11            zping_timeout\n",
      "11       0  000126f4      11                         \n",
      "4766     0  00012758      11       _k_mbox_list_start\n",
      "4596     0  00012758      11        _k_mutex_list_end\n",
      "4649     0  00012758      11        _k_event_list_end\n",
      "4652     0  00012758      11       _k_task_list_start\n",
      "4704     0  00012758      11      _k_mutex_list_start\n",
      "4881     0  00012758      11        _k_stack_list_end\n",
      "4875     0  00012758      11         _k_pipe_list_end\n",
      "4512     0  00012758      11       _k_pipe_list_start\n",
      "4992     0  00012758      11          _k_sem_list_end\n",
      "5006     0  00012758      11  _k_task_list_idle_start\n",
      "5031     0  00012758      11         _k_task_list_end\n",
      "5064     0  00012758      11      _k_stack_list_start\n",
      "4557     0  00012758      11         _k_mbox_list_end\n",
      "4378     0  00012758      11         _k_msgq_list_end\n",
      "\n",
      " Section _k_mem_pool_area info: Size = 32 , Location:( FLASH, SRAM )\n",
      "      size   address section                    name\n",
      "4344    32  000126d4      10          _heap_mem_pool\n",
      "10       0  000126d4      10                        \n",
      "3032     0  000126d4      10                      $d\n",
      "4252     0  000126f4      10    _k_mem_pool_list_end\n",
      "4444     0  000126d4      10  _k_mem_pool_list_start\n",
      "\n",
      " Section net_if_event info: Size = 12 , Location:( FLASH, SRAM )\n",
      "      size   address section                       name\n",
      "1313    12  000128c0      13  __net_if_event_mdm_netif0\n",
      "13       0  000128c0      13                           \n",
      "1312     0  000128c0      13                         $d\n",
      "4507     0  000128c0      13       __net_if_event_start\n",
      "4732     0  000128cc      13         __net_if_event_end\n",
      "\n",
      " Section net_if info: Size = 352 , Location:( FLASH, SRAM )\n",
      "      size   address section                   name\n",
      "1310   352  00012760      12  __net_if_mdm_netif0_0\n",
      "12       0  00012760      12                       \n",
      "1309     0  00012760      12                     $d\n",
      "4707     0  00012760      12         __net_if_start\n",
      "5000     0  000128c0      12           __net_if_end\n",
      "\n",
      " Section net_l2_data info: Size = 4 , Location:( FLASH, SRAM )\n",
      "      size   address section                       name\n",
      "1311     4  00012908      15  __net_l2_data_mdm_netif00\n",
      "15       0  00012908      15                           \n",
      "1314     0  00012908      15                         $d\n",
      "3941     0  0001290c      15          __net_l2_data_end\n",
      "4884     0  00012908      15        __net_l2_data_start\n",
      "5066     0  0001290c      15             __data_ram_end\n",
      "\n",
      " Section net_stack info: Size = 60 , Location:( FLASH, SRAM )\n",
      "      size   address section                       name\n",
      "2196    20  000128cc      14  __net_stack_RX_rx_stack_0\n",
      "2292    20  000128e0      14  __net_stack_TX_tx_stack_0\n",
      "2659    20  000128f4      14  __net_stack_MGMT_mgmt_sta\n",
      "14       0  000128cc      14                           \n",
      "2195     0  000128cc      14                         $d\n",
      "2291     0  000128e0      14                         $d\n",
      "2658     0  000128f4      14                         $d\n",
      "4275     0  00012908      14            __net_stack_end\n",
      "4858     0  000128cc      14          __net_stack_start\n",
      "\n",
      " Section noinit info: Size = 24008 , Location:(  SRAM )\n",
      "      size   address section                     name\n",
      "5103  2048  0001e080      17             thread_stack\n",
      "751   2048  0001e880      17        ipv4_udp_stack_pm\n",
      "687   2048  0001d880      17           ipv6_udp_stack\n",
      "689   2048  0001f080      17           ipv4_udp_stack\n",
      "4547  2048  00022a48      17         _interrupt_stack\n",
      "2900  2000  00020fd8      17                    stack\n",
      "2197  1500  00020080      17                 rx_stack\n",
      "2399  1480  00021e80      17    _net_buf_pool_tx_bufs\n",
      "2396  1480  000218b8      17    _net_buf_pool_rx_bufs\n",
      "2293  1200  0002065c      17                 tx_stack\n",
      "4752  1024  00023248      17         sys_work_q_stack\n",
      "2660  1024  00020bd8      17               mgmt_stack\n",
      "3994  1024  00022448      17              _main_stack\n",
      "1685  1024  0001fc80      17       zperf_tcp_rx_stack\n",
      "1665  1024  0001f880      17           zperf_rx_stack\n",
      "3916   512  00022848      17              _idle_stack\n",
      "4647   272  000217a8      17  _k_mem_slab_buf_tx_pkts\n",
      "4110   204  00020b0c      17  _k_mem_slab_buf_rx_pkts\n",
      "4924     0  00023648      17                     _end\n",
      "4899     0  00023648      17           _image_ram_end\n",
      "\n",
      " Section bss info: Size = 44853 , Location:(  SRAM )\n",
      "       size   address section                       name\n",
      "5011  20648  00018198      16  _mpool_buf__heap_mem_pool\n",
      "3360   5200  000155a8      16            g_instLightList\n",
      "3362   3120  000169f8      16             g_instTempList\n",
      "772    2048  00012c58      16          thread_stack.5017\n",
      "1690   1024  000142c8      16              sample_packet\n",
      "3981   1024  0001d2dc      16     oss_event_thread_stack\n",
      "1674   1024  00013ec8      16              sample_packet\n",
      "1646    896  00013ad0      16                   sessions\n",
      "3497    800  000178d8      16     ramdump_server_cmm_buf\n",
      "4078    656  00017eac      16                     pm_ctx\n",
      "2693    608  00014bf8      16                tcp_context\n",
      "1366    336  00013870      16                at_contexts\n",
      "4465    292  0001546c      16                    _kernel\n",
      "65      292  00015138      16                    icu_dev\n",
      "2348    272  00014980      16                   contexts\n",
      "3392    272  00017694      16      oss_event_ring_buffer\n",
      "911     258  00013498      16           buf_temp_add_crc\n",
      "4115    240  0001d724      16           ramdump_ram_conf\n",
      "2795    240  00014eac      16                      conns\n",
      "2886    204  00014fb8      16                        buf\n",
      "\n",
      " Section text info: Size = 140830 , Location:( FLASH,  )\n",
      "      size   address section                       name\n",
      "4280  1750  0ffbc749       1                       _prf\n",
      "4518  1704  0ffb1bd5       1               __aeabi_dsub\n",
      "4420  1624  0ffb0841       1               __aeabi_dadd\n",
      "4279  1580  0ffb0e99       1               __aeabi_ddiv\n",
      "4533  1382  0ffce543       1               observe_step\n",
      "4297  1268  0ffb16e1       1               __aeabi_dmul\n",
      "4589  1240  0ffbaa25       1           zperf_udp_upload\n",
      "4711  1168  0ffcb99d       1             cis_sync_entry\n",
      "2536  1158  0ffc1b29       1            handle_ra_input\n",
      "4506  1116  0ffcd7f5       1   management_handleRequest\n",
      "4100   972  0ffb42ed       1        ramdump_trans_to_pc\n",
      "5061   944  0ffb35f5       1           uart_console_isr\n",
      "4508   808  0ffb92b1       1      netdog_shell_cmd_ping\n",
      "342    808  0ffc64e9       1           pm_si_initialize\n",
      "4900   804  0ffceb25       1       packet_handle_packet\n",
      "4802   804  0ffc2521       1       net_ipv6_process_pkt\n",
      "1004   796  0ffb502d       1                efc_pm_ctrl\n",
      "1271   792  0ffb6925       1                     mdm_tx\n",
      "3272   768  0ffca6cd       1  process_comm_message.isra\n",
      "1586   752  0ffb9c05       1           shell_cmd_upload\n",
      "\n",
      " Section devconfig info: Size = 512 , Location:( FLASH,  )\n",
      "      size   address section                       name\n",
      "929     16  0ffd1c88       3      __config_si_uart1_dev\n",
      "852     16  0ffd1c68       3  __config_sys_init_uart_co\n",
      "1985    16  0ffd1d78       3     __config_pinmux_si_dev\n",
      "1161    16  0ffd1ce8       3           __config_gpio_si\n",
      "1231    16  0ffd1d08       3            __config_dac_si\n",
      "1138    16  0ffd1cd8       3        __config_timer_si_0\n",
      "1137    16  0ffd1cc8       3        __config_timer_si_1\n",
      "2012    16  0ffd1d88       3          __config_dma_si_0\n",
      "1015    16  0ffd1cb8       3           __config_efc0_si\n",
      "1013    16  0ffd1ca8       3           __config_efc1_si\n",
      "1954    16  0ffd1d68       3            __config_pmu_si\n",
      "945     16  0ffd1c98       3  __config_sys_init__sys_cl\n",
      "2192    16  0ffd1d98       3  __config_sys_init_net_ini\n",
      "1843    16  0ffd1d48       3            __config_wdt_si\n",
      "928     16  0ffd1c78       3      __config_si_uart2_dev\n",
      "1306    16  0ffd1d18       3        __config_mdm_netif0\n",
      "2845    16  0ffd1da8       3  __config_sys_init_shell_r\n",
      "3034    16  0ffd1e38       3  __config_sys_init_init_st\n",
      "146     16  0ffd1de8       3   __config_lp_timer_si_dev\n",
      "36      16  0ffd1db8       3  __config_sys_init_si_devi\n",
      "\n",
      " Section .ARM.exidx info: Size = 0 , Location:( FLASH,  )\n",
      "      size   address section           name\n",
      "2        0  0ffd1c50       2               \n",
      "565      0  0ffd1c50       2             $d\n",
      "651      0  0ffd1c58       2             $d\n",
      "4026     0  0ffd1c58       2    __exidx_end\n",
      "4295     0  0ffd1c50       2  __exidx_start\n",
      "\n",
      " Section rodata info: Size = 6874 , Location:( FLASH,  )\n",
      "      size   address section                 name\n",
      "101    550  0ffd7afe       5             pin_info\n",
      "4929   512  0ffd2c68       5       crc_16_l_table\n",
      "2080   256  0ffd63f1       5              charmap\n",
      "214    220  0ffd7f6c       5             clk_info\n",
      "1958   160  0ffd61f4       5        pmu_ctrl_info\n",
      "1960   160  0ffd6294       5         pmu_vol_info\n",
      "75     152  0ffd7a65       5       pcu_reg_offset\n",
      "2773   144  0ffd6f8c       5         net_commands\n",
      "4480   130  0ffd87da       5  sys_ctrl_reg_offset\n",
      "932     80  0ffd2e68       5   uart_si_driver_api\n",
      "1501    80  0ffd4518       5    at_req_proc_table\n",
      "3934    72  0ffd93fc       5       g_amtCommNvCfg\n",
      "1014    60  0ffd2f88       5             efc_cfg1\n",
      "1016    60  0ffd2f4c       5             efc_cfg0\n",
      "1734    60  0ffd5a6c       5      netdog_commands\n",
      "1503    56  0ffd4568       5    at_rsp_proc_table\n",
      "1913    56  0ffd6150       5           rtc_si_api\n",
      "4374    56  0ffd9444       5     amt_at_req_table\n",
      "3332    51  0ffd95e8       5           config_hex\n",
      "238     40  0ffd8138       5         gpio_pd_pclk\n",
      "\n",
      " Section net_l2 info: Size = 16 , Location:( FLASH,  )\n",
      "      size   address section            name\n",
      "4391    16  0ffd1e58       4  __net_l2_DUMMY\n",
      "4        0  0ffd1e58       4                \n",
      "2428     0  0ffd1e58       4              $d\n",
      "4149     0  0ffd1e58       4  __net_l2_start\n",
      "4677     0  0ffd1e68       4    __net_l2_end\n",
      "\n",
      " Section initlevel info: Size = 384 , Location:( FLASH, SRAM )\n",
      "      size   address section                       name\n",
      "1233    12  00012608       7            __device_dac_si\n",
      "931     12  00012584       7      __device_si_uart2_dev\n",
      "3036    12  0001256c       7  __device_sys_init_init_st\n",
      "1956    12  00012644       7            __device_pmu_si\n",
      "1018    12  000125c0       7           __device_efc1_si\n",
      "1020    12  000125cc       7           __device_efc0_si\n",
      "3008    12  00012560       7  __device_sys_init_init_me\n",
      "1140    12  00012524       7        __device_timer_si_1\n",
      "1142    12  00012530       7        __device_timer_si_0\n",
      "1163    12  00012548       7           __device_gpio_si\n",
      "2847    12  0001265c       7  __device_sys_init_shell_r\n",
      "1193    12  000125fc       7            __device_adc_si\n",
      "2194    12  000125f0       7  __device_sys_init_net_ini\n",
      "1308    12  00012614       7        __device_mdm_netif0\n",
      "2014    12  0001259c       7          __device_dma_si_0\n",
      "1413    12  00012620       7  __device_sys_init_at_sys_\n",
      "1624    12  00012674       7  __device_sys_init_zperf_m\n",
      "1987    12  00012554       7     __device_pinmux_si_dev\n",
      "1845    12  000125b4       7            __device_wdt_si\n",
      "933     12  00012590       7      __device_si_uart1_dev\n",
      "\n",
      " Section datas info: Size = 1275 , Location:( FLASH, SRAM )\n",
      "      size   address section                    name\n",
      "4213   188  00012074       6      uart_si_dev_data_1\n",
      "4675   188  00012130       6      uart_si_dev_data_2\n",
      "4983   128  000123e4       6       net_neighbor_pool\n",
      "4973   120  00012260       6                commands\n",
      "4016    56  0001247c       6  net_route_entries_pool\n",
      "2395    44  00012360       6                 rx_bufs\n",
      "2398    44  0001238c       6                 tx_bufs\n",
      "1618    24  00012300       6             in6_addr_my\n",
      "1616    24  000122e8       6            in6_addr_dst\n",
      "679     24  00012010       6                my_addr6\n",
      "683     24  00012038       6              peer_addr6\n",
      "1135    20  00012220       6     timer_si_dev_data_1\n",
      "1133    20  0001220c       6     timer_si_dev_data_0\n",
      "745     20  00012060       6              users_data\n",
      "3919    16  00012330       6            TIME_US_UNIT\n",
      "1129    16  000121ec       6          timer_si_cfg_0\n",
      "1131    16  000121fc       6          timer_si_cfg_1\n",
      "685     16  00012050       6              users_data\n",
      "2767    12  000124c0       6           ping6_handler\n",
      "2554    12  000123d0       6        na_input_handler\n",
      "\n",
      " Section _k_mem_slab_area info: Size = 56 , Location:( FLASH, SRAM )\n",
      "      size   address section                       name\n",
      "4025    28  0001269c       9                    rx_pkts\n",
      "4713    28  000126b8       9                    tx_pkts\n",
      "9        0  0001269c       9                           \n",
      "2392     0  0001269c       9                         $d\n",
      "2393     0  000126b8       9                         $d\n",
      "4050     0  000126d4       9       _k_mem_slab_list_end\n",
      "4179     0  0001269c       9     _k_mem_slab_list_start\n",
      "4321     0  0001269c       9        _k_timer_list_start\n",
      "4868     0  0001269c       9  _static_thread_data_list_\n",
      "5007     0  0001269c       9  _static_thread_data_list_\n",
      "5087     0  0001269c       9          _k_timer_list_end\n",
      "\n",
      " Section initshell info: Size = 24 , Location:( FLASH, SRAM )\n",
      "      size   address section                name\n",
      "1626     8  00012684       8  __shell_shell_name\n",
      "1736     8  0001268c       8  __shell_shell_name\n",
      "2775     8  00012694       8  __shell_shell_name\n",
      "8        0  00012684       8                    \n",
      "1625     0  00012684       8                  $d\n",
      "1735     0  0001268c       8                  $d\n",
      "2774     0  00012694       8                  $d\n",
      "4165     0  00012684       8   __shell_cmd_start\n",
      "4932     0  0001269c       8     __shell_cmd_end\n"
     ]
    }
   ],
   "source": [
    "for section in section_data:\n",
    "    print '\\n Section', section_data[section]['name'], 'info: Size =', section_data[section]['size'], ', Location:(', 'FLASH,' if section_data[section]['flash'] else '', 'SRAM' if section_data[section]['sram'] else '', ')'\n",
    "    print section_data[section]['symbol_data'].head(top_counts)\n",
    "    section_data[section]['name'] = section_data[section]['name'].strip('.') #为了兼容Windows下文件名不能以'.'开头\n",
    "    section_data[section]['symbol_data'].to_csv('%s/%s.csv' % (elf_summary, section_data[section]['name']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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