analysis2.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import logging\n",
    "from collections import OrderedDict\n",
    "from typing import Optional\n",
    "\n",
    "import coloredlogs\n",
    "from ph4_walkingpad.profile import Profile, calories_walk2_minute, calories_rmrcb_minute\n",
    "from ph4_walkingpad.analysis import StatsAnalysis\n",
    "\n",
    "import scipy\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "logger = logging.getLogger(__name__)\n",
    "coloredlogs.CHROOT_FILES = []\n",
    "coloredlogs.install(level=logging.INFO)"
   ]
  },
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   "execution_count": 2,
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      "    \"ccal_net\": null,\n",
      "    \"ccal_sum\": null,\n",
      "    \"ccal_net_sum\": null,\n",
      "    \"_ldiff\": [\n",
      "      1,\n",
      "      1,\n",
      "      0,\n",
      "      0.7575597763061523,\n",
      "      0.24244022369384766\n",
      "    ],\n",
      "    \"_breaking\": false,\n",
      "    \"_segment_time\": 1,\n",
      "    \"_segment_rtime\": 0.7575139999389648,\n",
      "    \"_segment_dist\": 0,\n",
      "    \"_segment_steps\": 1,\n",
      "    \"_records\": null\n",
      "  },\n",
      "  {\n",
      "    \"time\": 9,\n",
      "    \"dist\": 0,\n",
      "    \"steps\": 8,\n",
      "    \"speed\": 22,\n",
      "    \"app_speed\": 120,\n",
      "    \"belt_state\": 1,\n",
      "    \"controller_button\": 0,\n",
      "    \"manual_mode\": 1,\n",
      "    \"raw\": \"f8a20116010000090000000000087800000043fd\",\n",
      "    \"rec_time\": 1616399390.427022,\n",
      "    \"pid\": \"ph4r05\",\n",
      "    \"ccal\": null,\n",
      "    \"ccal_net\": null,\n",
      "    \"ccal_sum\": null,\n",
      "    \"ccal_net_sum\": null,\n",
      "    \"_ldiff\": [\n",
      "      1,\n",
      "      1,\n",
      "      0,\n",
      "      0.7575139999389648,\n",
      "      0.24248600006103516\n",
      "    ],\n",
      "    \"_breaking\": false,\n",
      "    \"_segment_time\": 0,\n",
      "    \"_segment_rtime\": 0.6749539375305176,\n",
      "    \"_segment_dist\": 0,\n",
      "    \"_segment_steps\": 0,\n",
      "    \"_records\": null\n",
      "  },\n",
      "  {\n",
      "    \"time\": 9,\n",
      "    \"dist\": 0,\n",
      "    \"steps\": 8,\n",
      "    \"speed\": 20,\n",
      "    \"app_speed\": 120,\n",
      "    \"belt_state\": 1,\n",
      "    \"controller_button\": 0,\n",
      "    \"manual_mode\": 1,\n",
      "    \"raw\": \"f8a20114010000090000000000087800000041fd\",\n",
      "    \"rec_time\": 1616399389.752068,\n",
      "    \"pid\": \"ph4r05\",\n",
      "    \"ccal\": null,\n",
      "    \"ccal_net\": null,\n",
      "    \"ccal_sum\": null,\n",
      "    \"ccal_net_sum\": null,\n",
      "    \"_ldiff\": [\n",
      "      0,\n",
      "      0,\n",
      "      0,\n",
      "      0.6749539375305176,\n",
      "      0.6749539375305176\n",
      "    ],\n",
      "    \"_breaking\": false,\n",
      "    \"_segment_time\": 6,\n",
      "    \"_segment_rtime\": 5.691957950592041,\n",
      "    \"_segment_dist\": 0,\n",
      "    \"_segment_steps\": 8,\n",
      "    \"_records\": null\n",
      "  },\n",
      "  {\n",
      "    \"time\": 3,\n",
      "    \"dist\": 0,\n",
      "    \"steps\": 0,\n",
      "    \"speed\": 17,\n",
      "    \"app_speed\": 1,\n",
      "    \"belt_state\": 1,\n",
      "    \"controller_button\": 0,\n",
      "    \"manual_mode\": 1,\n",
      "    \"raw\": \"f8a201110100000300000000000001000000b9fd\",\n",
      "    \"rec_time\": 1616399384.06011,\n",
      "    \"pid\": \"ph4r05\",\n",
      "    \"ccal\": null,\n",
      "    \"ccal_net\": null,\n",
      "    \"ccal_sum\": null,\n",
      "    \"ccal_net_sum\": null,\n",
      "    \"_ldiff\": [\n",
      "      1,\n",
      "      0,\n",
      "      0,\n",
      "      0.7571127414703369,\n",
      "      0.24288725852966309\n",
      "    ],\n",
      "    \"_breaking\": false,\n",
      "    \"_segment_time\": 1,\n",
      "    \"_segment_rtime\": 0.749920129776001,\n",
      "    \"_segment_dist\": 0,\n",
      "    \"_segment_steps\": 0,\n",
      "    \"_records\": null\n",
      "  },\n",
      "  {\n",
      "    \"time\": 2,\n",
      "    \"dist\": 0,\n",
      "    \"steps\": 0,\n",
      "    \"speed\": 14,\n",
      "    \"app_speed\": 1,\n",
      "    \"belt_state\": 1,\n",
      "    \"controller_button\": 0,\n",
      "    \"manual_mode\": 1,\n",
      "    \"raw\": \"f8a2010e0100000200000000000001000000b5fd\",\n",
      "    \"rec_time\": 1616399383.31019,\n",
      "    \"pid\": \"ph4r05\",\n",
      "    \"ccal\": null,\n",
      "    \"ccal_net\": null,\n",
      "    \"ccal_sum\": null,\n",
      "    \"ccal_net_sum\": null,\n",
      "    \"_ldiff\": [\n",
      "      1,\n",
      "      0,\n",
      "      0,\n",
      "      0.749920129776001,\n",
      "      0.250079870223999\n",
      "    ],\n",
      "    \"_breaking\": false,\n",
      "    \"_segment_time\": 1,\n",
      "    \"_segment_rtime\": 0.7654750347137451,\n",
      "    \"_segment_dist\": 0,\n",
      "    \"_segment_steps\": 0,\n",
      "    \"_records\": null\n",
      "  },\n",
      "  {\n",
      "    \"time\": 1,\n",
      "    \"dist\": 0,\n",
      "    \"steps\": 0,\n",
      "    \"speed\": 8,\n",
      "    \"app_speed\": 1,\n",
      "    \"belt_state\": 1,\n",
      "    \"controller_button\": 0,\n",
      "    \"manual_mode\": 1,\n",
      "    \"raw\": \"f8a201080100000100000000000001000000aefd\",\n",
      "    \"rec_time\": 1616399382.544715,\n",
      "    \"pid\": \"ph4r05\",\n",
      "    \"ccal\": null,\n",
      "    \"ccal_net\": null,\n",
      "    \"ccal_sum\": null,\n",
      "    \"ccal_net_sum\": null,\n",
      "    \"_ldiff\": [\n",
      "      1,\n",
      "      0,\n",
      "      0,\n",
      "      0.7654750347137451,\n",
      "      0.23452496528625488\n",
      "    ],\n",
      "    \"_breaking\": false,\n",
      "    \"_segment_time\": 0,\n",
      "    \"_segment_rtime\": 0.7424581050872803,\n",
      "    \"_segment_dist\": 0,\n",
      "    \"_segment_steps\": 0,\n",
      "    \"_records\": null\n",
      "  },\n",
      "  {\n",
      "    \"time\": 1,\n",
      "    \"dist\": 0,\n",
      "    \"steps\": 0,\n",
      "    \"speed\": 5,\n",
      "    \"app_speed\": 1,\n",
      "    \"belt_state\": 1,\n",
      "    \"controller_button\": 0,\n",
      "    \"manual_mode\": 1,\n",
      "    \"raw\": \"f8a201050100000100000000000001000000abfd\",\n",
      "    \"rec_time\": 1616399381.8022568,\n",
      "    \"pid\": \"ph4r05\",\n",
      "    \"ccal\": null,\n",
      "    \"ccal_net\": null,\n",
      "    \"ccal_sum\": null,\n",
      "    \"ccal_net_sum\": null,\n",
      "    \"_ldiff\": [\n",
      "      0,\n",
      "      0,\n",
      "      0,\n",
      "      0.7424581050872803,\n",
      "      0.7424581050872803\n",
      "    ],\n",
      "    \"_breaking\": false,\n",
      "    \"_segment_time\": 1,\n",
      "    \"_segment_rtime\": 1.5069658756256104,\n",
      "    \"_segment_dist\": 0,\n",
      "    \"_segment_steps\": 0,\n",
      "    \"_records\": null\n",
      "  },\n",
      "  {\n",
      "    \"time\": 0,\n",
      "    \"dist\": 0,\n",
      "    \"steps\": 0,\n",
      "    \"speed\": 0,\n",
      "    \"app_speed\": 1,\n",
      "    \"belt_state\": 7,\n",
      "    \"controller_button\": 0,\n",
      "    \"manual_mode\": 1,\n",
      "    \"raw\": \"f8a207000100000000000000000001000000abfd\",\n",
      "    \"rec_time\": 1616399380.295291,\n",
      "    \"pid\": \"ph4r05\",\n",
      "    \"ccal\": null,\n",
      "    \"ccal_net\": null,\n",
      "    \"ccal_sum\": null,\n",
      "    \"ccal_net_sum\": null,\n",
      "    \"_ldiff\": [\n",
      "      1,\n",
      "      0,\n",
      "      0,\n",
      "      1.5069658756256104,\n",
      "      0.5069658756256104\n",
      "    ],\n",
      "    \"_breaking\": false,\n",
      "    \"_records\": null\n",
      "  }\n",
      "]\n"
     ]
    }
   ],
   "source": [
    "an = StatsAnalysis()\n",
    "an.profile_file = '/Users/dusanklinec/workspace/ph4-walkingpad/profile.json'\n",
    "an.stats_file = '/Users/dusanklinec/walking.json'\n",
    "an.load_profile()\n",
    "an.load_stats(6, collect_details=True)\n",
    "\n",
    "for ix, m in enumerate(an.loaded_margins):\n",
    "    print('============================================= Margins: %s, segms: %s' % (ix,len(m)))\n",
    "    print(json.dumps(an.remove_records([m])[0], indent=2))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "res = an.load_last_stats()\n",
    "print(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    time  step_size\n",
      "0      0   0.281690\n",
      "1    300   0.332410\n",
      "2    600   0.333333\n",
      "3    900   0.307692\n",
      "4   1200   0.376812\n",
      "5   1500   0.305344\n",
      "6   1800   0.365169\n",
      "7   2100   0.343840\n",
      "8   2400   0.357143\n",
      "9   2700   0.317460\n",
      "10  3000   0.358127\n",
      "11  3300   0.331126\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import itertools\n",
    "\n",
    "mm = an.loaded_margins[0]\n",
    "acc = []\n",
    "for r in mm:\n",
    "    if '_records' in r:\n",
    "        acc += list(r['_records'])\n",
    "    else:\n",
    "        acc.append(r)\n",
    "\n",
    "factor = 3*60\n",
    "srter = lambda x: (x['time'], x['steps'])\n",
    "acc.sort(key=srter)\n",
    "\n",
    "times = []\n",
    "step_size = []\n",
    "for g, k in itertools.groupby(acc, key=lambda x: int(x['time']/factor)):\n",
    "    trecs = list(k)\n",
    "    min_rec, max_rec = trecs[0], trecs[-1]\n",
    "    dist_el = max_rec['dist'] - min_rec['dist']\n",
    "\n",
    "    if dist_el <= 0:\n",
    "        logger.warning('Elapsed distance is zero for %s: %s' % (g,dist_el,))\n",
    "        continue\n",
    "\n",
    "    steps_el = max_rec['steps'] - min_rec['steps']\n",
    "    cstep_size = dist_el*10 / steps_el\n",
    "    if cstep_size < 0.01:\n",
    "        continue\n",
    "\n",
    "    times.append(min_rec['time'])\n",
    "    step_size.append(cstep_size)\n",
    "\n",
    "plt.figure(figsize=(16, 12))\n",
    "data_plot = pd.DataFrame({\"time\": times, \"step_size\": step_size})\n",
    "print(data_plot)\n",
    "sns.lineplot(x = \"time\", y = \"step_size\", data=data_plot)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Speed:  0.5, ccal:   44.44, net:   20.27\n",
      "Speed:  1.0, ccal:   52.17, net:   28.00\n",
      "Speed:  1.5, ccal:   58.55, net:   34.38\n",
      "Speed:  2.0, ccal:   63.98, net:   39.80\n",
      "Speed:  2.5, ccal:   68.83, net:   44.66\n",
      "Speed:  3.0, ccal:   73.50, net:   49.33\n",
      "Speed:  3.5, ccal:   78.38, net:   54.21\n",
      "Speed:  4.0, ccal:   83.85, net:   59.68\n",
      "Speed:  4.5, ccal:   90.29, net:   66.12\n",
      "Speed:  5.0, ccal:   98.10, net:   73.93\n",
      "Speed:  5.5, ccal:  107.67, net:   83.49\n",
      "Speed:  6.0, ccal:  119.37, net:   95.20\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# calorie burn depending on the speed\n",
    "def compute_walk_burn(profile):\n",
    "    cal_data = []\n",
    "    for speed in range(5, 61, 5):\n",
    "        el_time = 60 * 15  # mins\n",
    "        ccal = (el_time / 60) * calories_walk2_minute(speed/10, profile.weight, 0.00)\n",
    "        ccal_net = ccal - (el_time / 60) * calories_rmrcb_minute(profile.weight, profile.height,\n",
    "                                                                 profile.age, profile.male)\n",
    "        cal_data.append({'speed': speed/10, 'cal': ccal, 'net':ccal_net})\n",
    "        print('Speed: %4.1f, ccal: %7.2f, net: %7.2f' % (speed/10, ccal, ccal_net))\n",
    "\n",
    "    plt.figure(figsize=(16, 12))\n",
    "    data_plot = pd.DataFrame(cal_data)\n",
    "    sns.lineplot(x = \"speed\", y = \"cal\", data=data_plot)\n",
    "    sns.lineplot(x = \"speed\", y = \"net\", data=data_plot)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "compute_walk_burn(an.profile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Speed:  0.5, ccal:   44.44, net:   20.27\n",
      "Speed:  1.0, ccal:   52.17, net:   28.00\n",
      "Speed:  1.5, ccal:   58.55, net:   34.38\n",
      "Speed:  2.0, ccal:   63.98, net:   39.80\n",
      "Speed:  2.5, ccal:   68.83, net:   44.66\n",
      "Speed:  3.0, ccal:   73.50, net:   49.33\n",
      "Speed:  3.5, ccal:   78.38, net:   54.21\n",
      "Speed:  4.0, ccal:   83.85, net:   59.68\n",
      "Speed:  4.5, ccal:   90.29, net:   66.12\n",
      "Speed:  5.0, ccal:   98.10, net:   73.93\n",
      "Speed:  5.5, ccal:  107.67, net:   83.49\n",
      "Speed:  6.0, ccal:  119.37, net:   95.20\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ad = StatsAnalysis()\n",
    "ad.profile_file = '/Users/dusanklinec/workspace/ph4-walkingpad/profile.json'\n",
    "ad.load_profile()\n",
    "\n",
    "compute_walk_burn(ad.profile)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 450,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random, sys\n",
    "from scipy import stats\n",
    "import scipy\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "m = 0b0011111111111101  # modulus, shorter version of yours 0x7ffe1 with a similar concept, also a prime\n",
    "\n",
    "def rr(ran, dist=False):  # fully random 16 bits\n",
    "  a = [0 for _ in range(2**16)] if not dist else []\n",
    "  for _ in range(ran):\n",
    "    x = random.getrandbits(16) \n",
    "    if dist:\n",
    "        a.append(x)\n",
    "    else:\n",
    "        a[x] += 1 \n",
    "  return a \n",
    "\n",
    "\n",
    "def mm(ran, st=0, dist=False):\n",
    "  a = [0 for _ in range(m)] if not dist else []\n",
    "  for i in range(ran): \n",
    "    x = random.randint(0, m-1) if st == 0 else (random.getrandbits(st) % m) \n",
    "    if dist:\n",
    "        a.append(x)\n",
    "    else:\n",
    "        a[x] += 1 \n",
    "  return a \n",
    "                                                                                                               \n",
    "\n",
    "def mr(ran, st=0, dist=False): \n",
    "  tp = (2**16) // m\n",
    "  rm = (2**16) - tp * m    \n",
    "  a = [0 for _ in range(2**16)] if not dist else []\n",
    "  for i in range(ran): \n",
    "    #y = random.getrandbits(16) \n",
    "    #z = random.getrandbits(st) % m  # not uniform on m\n",
    "    z = random.randint(0, m-1 - st)  # uniform [0, m-1]\n",
    "    \n",
    "    # clear modulus space (no neg. vals), then add\n",
    "    # problem: absolutely weird shape, like a game logo :D\n",
    "    #x = (y - m if y >= m else y) + z\n",
    "    \n",
    "    # moduli multiplies, resembles distrib, 4*m is only in small counts compared to {0,1,2,3}*m\n",
    "    # problem: no occurences for 0xfff4+, 4*m and above, and wraps over by adding +z if z > 2**16 - 4m\n",
    "    # x = (y - (y % m)) + z\n",
    "    \n",
    "    # also not working\n",
    "    x = (z + (random.getrandbits(2) << 14)) #^ (random.getrandbits(2))\n",
    "    \n",
    "    # works: randomized moduli offset, higher only if does not wrap \n",
    "    # works for: z = random.getrandbits(st) % m\n",
    "    #x = (m * random.randint(0, tp if z < rm else tp-1)) + z\n",
    "    \n",
    "#     if x > 0xffff:  # should not happen, skews distribution\n",
    "#         sys.stdout.write(hex(x) + ', ')\n",
    "    \n",
    "    if dist:\n",
    "        a.append(x & 0xffff)\n",
    "    else:\n",
    "        a[x & 0xffff] += 1 \n",
    "  return a "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 456,
   "metadata": {},
   "outputs": [],
   "source": [
    "rvs1 = rr(2**30, dist=True)\n",
    "rvs3 = rr(2**24, dist=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rvs1 = rr(2**16, dist=True)\n",
    "# rvs2 = rr(2**16, dist=True)\n",
    "\n",
    "#rvs1 = mm(2**22, dist=True)\n",
    "#rvs2 = mm(2**22, 14, dist=True)\n",
    "\n",
    "# rvs1 = rr(2**22, dist=True)\n",
    "# rvs2 = mm(2**22, 14, dist=True)\n",
    "\n",
    "# rvs1 = rr(2**20, dist=True)\n",
    "# rvs2 = mr(2**20, 0, dist=True)\n",
    "# print('computing KS...')\n",
    "# print(stats.ks_2samp(rvs1, rvs2))\n",
    "\n",
    "rvs2 = mr(2**30, 0, dist=True)\n",
    "print(stats.ks_2samp(rvs1, rvs2))\n",
    "print(stats.ks_2samp(rvs1, rvs3))\n",
    "print(stats.ttest_ind(rvs1, rvs2))\n",
    "print(stats.ttest_ind(rvs1, rvs3))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ar = rr(2**24)\n",
    "plt.figure(figsize=(16, 12))\n",
    "sns.lineplot(x=list(range(2**16)), y=ar)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 451,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "am = mr(2**24, st=0)\n",
    "plt.figure(figsize=(16, 12))\n",
    "sns.lineplot(x=list(range(2**16)), y=am)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "am2 = mr(2**24, 15)\n",
    "plt.figure(figsize=(16, 12))\n",
    "sns.lineplot(x=list(range(2**16)), y=am2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "am3 = mr(2**24, 14)\n",
    "plt.figure(figsize=(16, 12))\n",
    "sns.lineplot(x=list(range(2**16)), y=am3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "am4 = mr(2**24, 13)\n",
    "plt.figure(figsize=(16, 12))\n",
    "sns.lineplot(x=list(range(2**16)), y=am4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(16, 12))\n",
    "sns.lineplot(x=list(range(m)), y=mm(2**24, 0))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(16, 12))\n",
    "sns.lineplot(x=list(range(m)), y=mm(2**24, 14))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(16, 12))\n",
    "sns.lineplot(x=list(range(m)), y=mm(2**24, 16))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 435,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i:  16380, bin: 0011111111111100, hex: 003ffc, ctr: 55\n",
      "i:  16381, bin: 0011111111111101, hex: 003ffd, ctr: 79\n",
      "i:  16382, bin: 0011111111111110, hex: 003ffe, ctr: 51\n",
      "i:  16383, bin: 0011111111111111, hex: 003fff, ctr: 55\n",
      "i:  32764, bin: 0111111111111100, hex: 007ffc, ctr: 62\n",
      "i:  32765, bin: 0111111111111101, hex: 007ffd, ctr: 76\n",
      "i:  32766, bin: 0111111111111110, hex: 007ffe, ctr: 60\n",
      "i:  32767, bin: 0111111111111111, hex: 007fff, ctr: 67\n",
      "i:  49148, bin: 1011111111111100, hex: 00bffc, ctr: 80\n",
      "i:  49149, bin: 1011111111111101, hex: 00bffd, ctr: 52\n",
      "i:  49150, bin: 1011111111111110, hex: 00bffe, ctr: 61\n",
      "i:  49151, bin: 1011111111111111, hex: 00bfff, ctr: 73\n",
      "i:  65532, bin: 1111111111111100, hex: 00fffc, ctr: 56\n",
      "i:  65533, bin: 1111111111111101, hex: 00fffd, ctr: 74\n",
      "i:  65534, bin: 1111111111111110, hex: 00fffe, ctr: 66\n",
      "i:  65535, bin: 1111111111111111, hex: 00ffff, ctr: 59\n"
     ]
    }
   ],
   "source": [
    "ctr = 0\n",
    "for i,x in enumerate(am):\n",
    "    if x < 180 or x > 350:\n",
    "        ctr += 1\n",
    "        print(\"i: %6d, bin: %16s, hex: %06x, ctr: %s\" % (i, (bin(i)[2:]).rjust(16,'0'), i, x))\n",
    "    if ctr > 200:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0x3ffd'"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hex(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['0x0', '0x3ffd', '0x7ffa', '0xbff7', '0xfff4', '0x13ff1']"
      ]
     },
     "execution_count": 248,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[hex(m*i) for i in range(6)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-3"
      ]
     },
     "execution_count": 312,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m-2**14"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}