colab-notebooks/22_BatchSeqModels.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "22_BatchSeqModels.ipynb",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/satyajitghana/PadhAI-Course/blob/master/22_BatchSeqModels.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HtYmkuX775T4",
        "colab_type": "text"
      },
      "source": [
        "## Outline\n",
        "\n",
        "1. Recap of what we did last time\n",
        "2. Why do we use batching\n",
        "3. Batching for sequence models\n",
        "4. Padding and packing in PyTorch\n",
        "5. Training with batched dataset\n",
        "6. Comparison of performance with batching and on GPU"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tTc4vO5gzXR9",
        "colab_type": "text"
      },
      "source": [
        "### Setting up the dependencies"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2uNUaCER7WHb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from io import open\n",
        "import os, string, random, time, math\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "sns.set(style=\"ticks\", context=\"talk\")\n",
        "plt.style.use(\"dark_background\")\n",
        "import numpy as np"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Idg_OtiyKSXf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b4GU3MziGYar",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.optim as optim\n",
        "\n",
        "# Instantiates the device to be used as GPU/CPU based on availability\n",
        "device_gpu = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wfPrZfBMevD9",
        "colab_type": "code",
        "outputId": "cf17ac59-4cb3-4ca5-b5f2-5ce72ca73f57",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "device_gpu"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "device(type='cuda', index=0)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fAJxDcJIWrq0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from IPython.display import clear_output"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7h5jQjsF7-B7",
        "colab_type": "text"
      },
      "source": [
        "## Dataset"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "R2kUDY_4zmy-",
        "colab_type": "text"
      },
      "source": [
        "### Pre-processing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rKjuUO8Q7-tf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "languages = []\n",
        "data = []\n",
        "X = []\n",
        "y = []\n",
        "\n",
        "with open('name2lang.txt', 'r') as f: \n",
        "    for line in f:\n",
        "        line = line.split(',')\n",
        "        name = line[0].strip()\n",
        "        lang = line[1].strip()\n",
        "        if not lang in languages:\n",
        "            languages.append(lang)\n",
        "        X.append(name)\n",
        "        y.append(lang)\n",
        "        data.append((name, lang))\n",
        "\n",
        "n_languages = len(languages)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fYQpOJaK83b9",
        "colab_type": "code",
        "outputId": "0ee71787-4f77-45bc-c32a-472cb87d53a1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "print(languages)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['Portuguese', 'Irish', 'Spanish', 'Vietnamese', 'Chinese', 'Greek', 'Czech', 'Dutch', 'Japanese', 'French', 'German', 'Scottish', 'English', 'Russian', 'Polish', 'Arabic', 'Korean', 'Italian']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sLFeNZiM9H1l",
        "colab_type": "code",
        "outputId": "830b1807-ec0b-4d25-81be-2b8552ec023f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "print(data[0:10])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[('Abreu', 'Portuguese'), ('Albuquerque', 'Portuguese'), ('Almeida', 'Portuguese'), ('Alves', 'Portuguese'), ('Araujo', 'Portuguese'), ('Araullo', 'Portuguese'), ('Barros', 'Portuguese'), ('Basurto', 'Portuguese'), ('Belo', 'Portuguese'), ('Cabral', 'Portuguese')]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LdDFQsFMKWBG",
        "colab_type": "text"
      },
      "source": [
        "### Test-train split"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7rCPOxMNKYVv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0, stratify=y)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6tiJj9e9LirJ",
        "colab_type": "code",
        "outputId": "c52b2128-4d79-48a7-a42f-8c0e2211cd2d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "print(X_train)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['Abashkin', 'Gulimov', 'Tzelobenok', 'Funnell', 'Zhui', 'Jukes', 'Togunov', 'Sabbag', 'Kartomyshev', 'Makhnenko', 'Sokolsky', 'Masuno', 'Varela', 'Moffat', 'Bonner', 'Berezovsky', 'Helkvist', 'Thurston', 'Tovstuha', 'Millar', 'Tulintsev', 'Furey', 'Isaenko', 'Kalachev', 'Takecare', 'Newcombe', 'Taku', 'Artibyakin', 'Saifulov', 'Morcos', 'Jagodnikov', 'Halifman', 'Bagaryakoff', 'Pavluhin', 'Mari', 'Awramchik', 'Agaltsov', 'Fisichev', 'Shizuma', 'Yankin', 'Luts', 'Toshitala', 'Germain', 'Botros', 'Poulter', 'Lischenko', 'Porter', 'Melendez', 'Ibu', 'Carr', 'Ursler', 'Aderikhin', 'Gimondi', 'Rzhevsky', 'Slater', 'Atkin', 'Yagafarov', 'Huraskin', 'Underhill', 'Pylin', 'Yuschenko', 'Ardovini', 'Tunison', 'Dobrovolsky', 'Bezyzvestnyh', 'Roussel', 'Balakshin', 'Trumbauer', 'Vallance', 'Boerio', 'Waugh', 'Baz', 'Reading', 'Komon', 'Ireson', 'Venables', 'Tikhotsky', 'Spada', 'Winfield', 'Mikhnov', 'Lubsky', 'Antar', 'Sheehan', 'Tuma', 'Yuzefovich', 'Yamburg', 'Yukhvidov', 'Mikhail', 'Chi', 'De rege', 'Abalkin', 'Gu', 'Ziyatdinov', 'Isa', 'Szwedko', 'Said', 'Muru', 'Portyanik', 'Tykal', 'Kiefer', 'Rjeshotarsky', 'Gorbikov', 'Sultana', 'Biganska', 'Langer', 'Elmer', 'Kotsilimbas', 'Pakhmutov', 'Jandr', 'Mansour', 'Son', 'Gribakin', 'Toma', 'Bazarhandaev', 'Sarkis', 'Rhee', 'Schofield', 'Mahin', 'Amari', 'Balarev', 'Jigalin', 'Tseiger', 'Gessen', 'Demichev', 'Khoury', 'Latham', 'Essa', 'Yalunin', 'Bajinoff', 'Yudenkov', 'Abalihin', 'Zinich', 'Chijevsky', 'Boutros', 'Kajahara', 'Froggett', 'Telford', 'Nijo', 'Davydchenkov', 'Turlapov', 'Geier', 'Hil', 'Bazzhin', 'Munekhin', 'Mikhailin', 'Yuhov', 'Simmonds', 'Chadin', 'You', 'Charushin', 'Leitman', 'Gaber', 'Charpentier', 'Juditsky', 'Siegl', 'Adessi', 'Anikanov', 'Holoevsky', 'Jarmukhamedov', 'Pledger', 'Havener', 'Zellweger', 'Hlobystov', 'Zaoui', 'Trampotova', 'Egof', 'Talmud', 'Bagmevsky', 'Baramidze', 'Yee', 'Jadanovsky', 'Chuvilyaev', 'Stites', 'Agakhanyan', 'Mccormack', 'Ferrer', 'Hadad', 'Remnev', 'Vickery', 'Raikhlin', 'Pontekorvo', 'Bahelov', 'Galko', 'Belich', 'Boulos', 'Minkevich', 'Brodeur', 'Davidson', 'Katschker', 'Rjavin', 'Ayliffe', 'Haldoyanidi', 'Taldykin', 'Ross', 'Adamo', 'Vaginov', 'Goodall', 'Maalouf', 'Bautista', 'Yatzuba', 'Ritchie', 'Agrest', 'Frunze', 'Gluhotko', 'Hartukov', 'Agratin', 'Yuzhalin', 'Timonov', 'Sheludyakov', 'Zhiltsov', 'Yarnall', 'Elashkin', 'Gaber', 'Zhebit', 'Zhavoronsky', 'Chukhray', 'Yamato', 'Hadad', 'Ellison', 'Chukhlomin', 'Paskell', 'Keefe', 'Kore', 'Rahmanin', 'Tzederbaum', 'Byon', 'Chapple', 'Hegai', 'Darjaev', 'Ijiri', 'Ollerhead', 'Shammas', 'Hirase', 'Grotus', 'Ninomiya', 'Mansour', 'Yamura', 'Korycansky', 'Djabruev', 'Elebaev', 'Ladyzhnikov', 'Yadrikhinsky', 'Bonnay', 'Zhadaev', 'Si', 'Fionn', 'Janin', 'Veselkov', 'Masih', 'Dickson', 'Veselitsky', 'Gagnier', 'Jakush', 'Naito', 'Larkin', 'Rovnin', 'Lowe', 'Botros', 'Marik', 'Ilyuhin', 'Mallinson', 'Sano', 'Abascal', 'Kruckel', 'Morcos', 'Rashid', 'Senft', 'Karl', 'Tugujekov', 'Hashimoto', 'Gunby', 'Ibbotson', 'Martynovsky', 'Hapchaev', 'Kelly', 'Nakanoi', 'Ryjenko', 'Musakov', 'Schulte', 'Janibekov', 'Bekyros', 'Galerkin', 'Holodnykh', 'Abrakhimoff', 'Hinds', 'Cole', 'Urbanek', 'Houghton', 'Perkins', 'Lovey', 'Jalovets', 'Beamish', 'Abramovich', 'Zogby', 'Mckay', 'Shintaro', 'Hayashi', 'Asfour', 'Bazhaev', 'Djaldjireev', 'Tokmagambetov', 'Frey', 'Hegney', 'Makshakov', 'Gatsunaev', 'Rahal', 'Schlusser', 'Accorso', 'Minuhin', 'Appleyard', 'Neri', 'Bellincioni', 'Maceachthighearna', 'Rosenblatt', 'Jelobinsky', 'Dovbyschuk', 'Jakimychev', 'Lis', 'Kusak', 'Sleiman', 'Accursio', 'Campos', 'Potter', 'Giles', 'Tosh', 'Nesvetaev', 'Furst', 'Levitzky', 'Enoki', 'Perkin', 'Poret', 'Koury', 'Holt', 'Dobroserdov', 'Vedernikov', 'Talambum', 'Gerges', 'Guzev', 'Ellam', 'Kinnersley', 'Urbanek', 'Vedihov', 'Heifets', 'Mcdonald', 'Mihalkin', 'Zhigulsky', 'Rademakers', 'Rodriguez', 'Bock', 'Kabes', 'Haraz', 'Ingham', 'Shalin', 'Tarrant', 'Makhutov', 'Kendell', 'Reardon', 'Keating', 'Palmisano', 'Radley', 'Batuev', 'Foulkes', 'Yuhvidov', 'Delgado', 'Ebzeev', 'Drozdenko', 'Mihelyus', 'Turno', 'Kipling', 'Yam', 'Marqueringh', 'Lihtenshtein', 'Wiles', 'Strong', 'Hussey', 'Perks', 'Yakhot', 'Homaiko', 'Ramsay', 'Erzhenkov', 'Waller', 'Vlasenko', 'Dolejsi', 'Bauman', 'Vainshtok', 'Abubakiroff', 'Harb', 'Chukhin', 'Juravel', 'Lozovoy', 'Koury', 'Groer', 'Liepa', 'Escott', 'Eremushkin', 'Zimatsky', 'Farnsworth', 'Mifsud', 'Zhuromsky', 'Jonas', 'Kachalkin', 'Grankin', 'Tuffnell', 'TzannKaySi', 'Doan', 'Schitsyn', 'Gorbman', 'Gillard', 'Guleichik', 'Marik', 'Liu', 'Horton', 'Hamitski', 'Baranenko', 'Rackham', 'Asghar', 'Aldridge', 'Enner', 'Schrader', 'Dizhur', 'Palladino', 'Bachish', 'Mifsud', 'Nassar', 'Abramkoff', 'Benedetti', 'Tuma', 'Botros', 'Avenue', 'Kalihman', 'Lihonosov', 'Hahanyan', 'Mikhalitsin', 'Pinheiro', 'Jimerin', 'Vallory', 'Araujo', 'Jitukhin', 'Hanania', 'Pisklov', 'Jaivoronok', 'Leclerc', 'Huo', \"D'ambrosio\", 'Almasi', 'Pitel', 'Potseluev', 'Hadad', 'Frary', 'Nusuev', 'Malouf', 'Fukusaku', 'Ryjkov', 'Nicotera', 'Zabrodin', 'Poshehonov', 'Chastain', 'Jiznevsky', 'Schneider', 'Waltz', 'Abdulladjanov', 'Rustici', 'Galepa', 'Peake', 'Abdulrahmanov', 'Shakhmatov', 'Speight', 'Isaev', 'Gatsuk', 'Yablokov', 'Neumann', 'Mozdzierz', 'Saifulaev', 'Vihert', 'Toucet', 'Naifeh', 'Zharikov', 'Nahas', 'Furtsch', 'Tindall', 'Gulishambarov', 'Guttridge', 'Shammas', 'Chartorijsky', 'Issa', 'Isa', 'Eikalovich', 'Kassis', 'Dael', 'Agelakos', 'Depp', 'Tomori', 'Baumhauer', 'Jivin', 'Darsky', 'Ebden', 'Vejvoda', 'Rukhlov', 'Ganem', 'Norwood', 'Gramberg', 'Plikhin', 'Komagata', 'Shalko', 'Jirdetsky', 'Spiker', 'Zhabinsky', 'Balasanyan', 'Jeludkov', 'Mordakov', 'Agranat', 'Kelsey', 'Tzekhansky', 'Onopriev', 'Kano', 'Sze', 'Ratcliffe', 'Leeuwenhoek', 'Lockett', 'Denzel', 'Jon', 'Hanjiev', 'Pavlychev', 'Rickards', 'Stauss', 'Lykoshin', 'Najjar', 'Rallis', 'Likhanov', 'Jacobs', 'Villanueva', 'Yagubsky', 'Antar', 'Agranowich', 'Flaherty', 'Hagondokov', 'Stamp', 'Avana', 'Charnock', 'Isanbet', \"O'Sullivan\", 'Mawson', 'Shamon', 'Douglas', 'Eruzalimchik', 'Franco', 'Weston', 'Tudor', 'Kim', 'Parahin', 'Jirik', 'Rumbold', 'Sugiyama', 'Egorihin', 'Bahrah', 'Fairhurst', 'Yim', 'Polikashkin', 'Aodh', 'Zhmaev', 'Pohilko', 'Rokhatsevich', 'Bagdasaryan', 'Isa', 'Kunisada', 'Zhilinsky', 'Katsan', 'Findlay', 'Antwerp', 'Porfiriev', 'Teng', 'Hibbert', 'Collier', 'Priemyhov', 'Cha', 'Shibasawa', 'Handal', 'Madden', 'Botros', 'Tahan', 'Makhaev', 'Pats', 'Noyce', 'Alcheri', 'Rodgers', 'Kido', 'Andringa', 'Broughton', 'Knight', 'Chertischev', 'Allman', 'Basurto', 'Mukasey', 'Ronald', 'Sowka', 'Lysenny', 'Yan', 'Baz', 'Hida', 'Dzhabruev', 'Jenovach', 'Loiko', 'Tiedeman', 'Yosano', 'Enchev', 'Ruzavin', 'Jamilov', 'Lapinsky', 'Sheludshev', 'Hasnulin', 'Agranenko', 'Zhirkevich', 'Yamada', 'Pascal', 'Jemoitel', 'Modenov', 'Henderson', 'Makhtiev', 'Chuhman', 'Miheikin', 'Ambrogi', 'Tihenko', 'Pokhlebkin', 'Caldwell', 'Adrov', 'Bassett', 'Hadad', 'Isakov', 'Wizner', 'Batchilo', 'Whitby', 'Liatos', 'Hodkinson', 'Antar', 'Mocharov', 'Lumley', 'Pyhteev', 'Somerville', 'Kinnear', 'Tovkan', 'Elepov', 'Jigily', 'Naifeh', 'Grischenko', 'Vakulin', 'Groza', 'Pelletier', 'Zaskokin', 'Macrae', 'Polymenakou', 'Pochitalin', 'Toal', 'Whiting', 'Jurin', 'Hepburn', 'Ebralidze', 'Tunneson', 'Belosludtsev', 'Bacon', 'Tuganbaev', 'Gillies', 'Schuchardt', 'Esimontovsky', 'Essa', 'Haddad', 'Eaves', 'Albani', 'Novosiltsov', 'Yuzhakov', 'Rukhlin', 'Konigsmann', 'Awramtchik', 'Mitsukov', \"O'Leary\", 'Walentowicz', 'Zdunowski', 'Vilm', 'Talashkevich', 'Mathghamhain', 'Podolinsky', 'Mindra', 'Hanjin', 'Tzaregradsky', 'Shackleton', 'Talvir', 'Hitrenko', 'Purse', 'Fadyuhin', 'Ackary', 'Hamamoto', 'Dukes', 'Martsenko', 'Diakogeorgiou', 'Lakey', 'Maehata', 'Najjar', 'Winfer', 'Vedenkin', 'Plourde', 'Yangel', 'Roux', 'Yuhimenko', 'Truscott', 'Nonomura', 'Leibkin', 'Nestrojil', 'Halip', 'Abrarov', 'Nosach', 'Fabian', 'Emchenko', 'Bakrymov', 'Groshikov', 'Zhigun', 'Dubhain', 'Babentsev', 'Todaro', 'Arnold', 'Ryzhakov', 'Styles', 'Islakaev', 'Granin', 'Saliba', 'Uttley', 'Issa', 'Shamakhov', 'Shamoon', 'Ibanez', 'Yuan', 'Moghadam', 'Puig', 'Vilchitsky', 'Astrahansky', 'Batchelis', 'Avtaev', 'Edmondson', 'Molojavy', 'Finnegan', 'Tsucgimoto', 'Vitram', 'Herrera', 'Timney', 'Totah', 'Nanson', 'Lykin', 'Adamovich', 'Plamondon', 'Yujalin', 'Yakovlenko', 'Sloan', 'Jikharev', 'Kavanagh', \"Bas'Holov\", 'Mihailyants', 'Nishimuraya', 'Neverovsky', 'Tunstall', 'Gauer', 'Bishara', 'Braun', 'Researcher', 'Abramchikoff', 'Strilakos', 'Yabrov', 'Touma', 'Chehovich', 'Haddad', 'Koury', 'Bolton', 'Holschigin', 'Pietsuh', 'Vislobokov', 'Murychev', 'Shammas', 'Close', 'Mudra', 'Woodhead', 'Hitrinsky', 'Maclean', 'Shu', 'Kershaw', 'Gribanovsky', 'Patz', 'Vasindin', 'Ichisada', 'Lucassen', 'Ba', 'Quraishi', 'Yoshitomi', 'Heel', 'Holzer', 'Libreht', 'Anisihin', 'Deeb', 'Uttridge', 'Salazar', 'Molodojenov', 'Hinchin', 'Khouri', 'Yakushkin', 'Vylko', 'Habelashvili', 'Aboyantsev', 'Holman', 'Abbakumovsky', 'Watts', 'Johnstone', 'Antar', 'Jerdev', 'Timarevsky', 'Finogenov', 'Golovatov', 'Bahin', 'Skelton', 'Chekhov', 'Bakhmutsky', 'Yankov', 'Changli', 'Shadid', 'Jalagin', 'Hanania', 'Bereznitsky', 'Ravenscroft', 'Qureshi', 'Yuzvyuk', 'Toma', 'Bainbridge', 'Zhvanetsky', 'Hlopotin', 'Corlett', 'Nemecek', 'Abdulatipov', 'Dobrynchenko', 'Goloveshko', 'Ganim', 'Schroeter', 'Keeble', 'Tamazaki', 'Takaoka', 'Selmone', 'Miodushevsky', 'Dubelt', 'Adzhemyan', 'Riagan', 'Moltenskoi', 'Lapenko', 'Zolotarev', 'Batsakis', 'Marfelev', 'Morcos', 'Tzarevsky', 'Murov', 'Hachapuridze', 'Gramenitsky', 'Jvirblis', 'Lewins', 'Goodwin', 'Avturkhanov', 'Jafarov', 'Lobb', 'Golov', 'Lyzlov', 'Talmi', 'Pretsch', 'Cheryshev', 'Kalb', 'Agatoff', 'Kaldybaev', 'Dykes', 'Porokhin', 'Makhachev', 'Mifsud', 'Bachmanoff', 'Piller', 'Fazlov', \"O'Toole\", 'Abdulgapurov', 'Alagona', 'Harahinov', 'Lian', 'Yujanov', 'Vyborny', 'Busch', 'Atajakhov', 'Boutros', 'Dutt', 'Futabatei', 'Chaganov', 'Bahmetoff', 'Horoshavtsev', 'Katayama', 'Zhizha', 'Johnston', 'Alladee', 'Leach', 'Imada', 'Cotter', 'Rawlings', 'Rekunov', 'Issa', 'Mojarov', 'Hewlett', 'Ganem', 'Sleiman', 'Remchukov', 'Purvis', 'Moore', 'Muzafarov', 'Atiyeh', 'Lotarev', 'Chepurov', 'Assaf', 'Bibitinsky', 'Yuskevich', 'Trieu', 'Kelly', 'Gukovsky', 'Djindo', 'Dubinsky', 'Asghar', 'Tchekvin', 'Homa', 'Toma', 'Dempsey', 'Utton', 'Norton', 'Ishiguro', 'Zhiritsky', 'Abdulrakhmanov', 'Kaliberda', 'Nakhamkis', 'Stamatas', 'Jalybin', 'Appleton', 'Nelyubin', 'Farrell', 'Martirosov', 'Hama', 'Romagnoli', 'Wang', 'Chuhlov', 'Divnov', 'Chadovich', 'Kouri', 'Winstanley', 'Yeo', 'Gulbinsky', 'Tumashev', 'Yoshikawa', 'Rivel', 'Schreier', 'Zinevich', 'Czabal', 'Curley', 'Almasi', 'Whiteley', 'Middleton', 'Zajicek', 'Bagalin', 'Cherushov', 'Antoun', 'Nuremberg', 'Hirota', 'Linden', 'Agursky', 'Zherzdev', 'Gasyukov', 'Minenko', 'Albrici', 'Raih', 'Keane', 'Yagoda', 'Sleiman', 'Jeffreys', 'Sommer', 'Jabsky', 'Patrick', 'Austin', 'Ba', 'Burns', 'Ebsvort', 'Nahushev', 'Gribovsky', 'Nickel', 'Mack', 'Haletsky', 'Nurse', 'Virekhovsky', 'Tikhodeev', 'Shamon', 'Halliday', 'Grimaldi', 'Stainton', 'Morcos', 'Ryjih', 'Zhilkin', 'Bakinoff', 'Rann', 'Andrukhov', 'Raine', 'Jikin', 'Giese', 'Coombes', 'Rapallino', 'Mojartsev', 'Weldon', 'Derkach', 'Sumitimo', 'Foerstner', 'Daragan', 'Jewers', 'Marlow', 'Pechagin', 'Awetisoff', 'Ryzhy', 'Tsarenkov', 'Taverna', 'Zhinkin', 'Jedlicka', 'Carracci', 'Omelyanenko', 'Uzunov', 'Alphen', 'Shamoun', 'Hlypovka', 'Janko', 'Otmahov', 'Muntyan', 'Chernovisov', 'Vavravsky', 'Vysokosov', 'Yanagimoto', 'Vaginoff', 'Vyaltsin', 'Guirguis', 'Heath', 'Gao', 'Bekhteev', 'Hantimerov', 'Ichihara', 'Bavin', 'Brose', 'Masih', 'Nosaka', 'Lichagin', 'Ortega', 'Mendelsohn', 'Remezov', 'Malecha', 'Podsvirov', 'Murtazaliev', 'Kieu', 'Griggs', 'Billert', 'Gesti', 'Avilov', 'Bekmahanov', 'Schult', 'Bajin', 'Peller', 'Serafini', 'Awerin', 'Botros', 'Saifullin', 'Nahas', 'Hlystov', 'Kinnison', 'Ryjenkov', 'Tzarikaev', 'Tsapko', 'Baitin', 'Elkin', 'Aliprandi', 'Garber', 'Timaev', 'Gascoyne', 'Kaberman', 'Jakushkov', 'Ainsworth', 'Lysyansky', 'Gilmartin', \"V'Yunov\", 'Ormston', 'Iskujin', 'Glebovich', 'Abramchikov', 'Geroeff', 'Mcelroy', 'Lodyjensky', 'Costanzo', 'Atlas', 'Tully', 'Meissner', 'Rian', 'Nakano', 'Armonni', 'Pokhojaev', 'Lodyagin', 'Lamon', 'Shiskikura', 'Balavin', 'Adrianov', 'Maloof', 'Nakadai', 'Haas', 'Polivoda', 'Mcgregor', 'Salib', 'Cleirigh', 'Toomer', 'Said', 'Grose', 'Schuchert', 'Konarik', 'Bishara', 'Juzvyuk', 'Abulgatin', 'Schoorel', 'Lumb', 'Isayama', 'Ramaker', 'Kartovenko', 'Lennon', 'Stoddart', 'Coleman', 'Mckie', 'ShahNazaroff', 'Safar', 'Court', 'Gorskikh', 'Baba', 'Pavlyuchuk', 'Daniau', 'Jakovchenko', 'Anisimov', 'Imagawa', 'Kenzel', 'Beloshitsky', 'Kruger', 'Turuhin', 'Pesaresi', 'Howes', 'Gordusenko', 'Murygin', 'Kimura', 'Kassab', 'Puga', 'Cherpakov', 'Minnulin', 'Shalunov', 'Hackett', 'Bilalov', 'Shalhoub', 'Atanov', 'Jloba', 'Crossley', 'Zhechkov', 'Matthews', 'Sarraf', 'Attia', 'Prosdocimi', 'Najjar', 'Younge', 'Baimakov', 'Pekhotin', 'Holland', 'Hanutin', 'Antopolsky', 'Garrastazu', 'Kilburn', 'Jedrinsky', 'Batsura', 'Matsakov', 'Rahmatulin', 'Ageenkov', 'Dzheladze', 'Lozben', 'Hadad', 'Southern', 'Pakharev', 'Dubrov', 'Goldsmith', 'Genda', 'Cousins', 'Malouf', 'Almedingen', 'Baba', 'Balandyuk', 'Zhun', 'Ven', 'Bektimirov', 'Bastanov', 'Khouri', 'Onishko', 'Chertakov', 'Rotast', 'Donovan', 'Vertman', 'Demishev', 'Markushin', 'Paranin', 'Kaufer', 'Horner', 'Gerasimov', 'Zhminko', 'Rafaj', 'Chazov', 'Totah', 'Pokhitonov', 'Sekovora', 'Izumi', 'Bone', 'Mindibekov', 'Likhosherstov', 'Kistner', 'Deryuzhkov', 'Froggatt', 'Ronflard', 'Simms', 'Marchanukov', 'Shalhoub', 'Wehunt', 'Gerst', 'Shenkarev', 'Zwolenksy', 'Safar', 'Rademaker', 'Avelichev', 'Platts', 'Said', 'Jerzdev', 'Salib', 'Hlavsa', 'Tolmay', 'Zhirov', 'Yudin', 'Bairamukoff', 'Lotman', 'Maruyama', 'Zheltukhin', 'Fenlon', 'Horkov', 'Voigt', 'Mikheev', 'Wells', 'Awhimowich', 'Deeb', 'Newall', 'Halenkov', 'Skala', 'Tchamushev', 'Hudaiberdin', 'Abrashin', 'Nahas', 'Jevolojnov', 'Andreyak', 'Mihaltsov', 'Oswald', 'Vyazmikin', 'Aleshite', 'Gale', 'Kassis', 'Halaphaev', 'Wasem', 'Jadrikhinsky', 'Aswad', 'Alexander', 'Ajinoff', 'Tulin', 'Cormack', 'Marievsky', 'Greenaway', 'Agabekoff', 'Wetterman', 'Tzallagov', 'Poulin', 'Gismondi', 'Verona', 'Kartazhev', 'Tyrrell', 'Tanzi', 'Bakhtchivandzhi', 'Rjeussky', 'Trigg', 'Isbill', 'Huzangai', 'Allsop', 'Adigamov', 'Singleton', 'Lopes', 'Albert', 'Belinsky', \"O'Brien\", 'Hlyzov', 'Zhmotov', 'Tennant', 'Zhu', 'Shimanouchi', 'Markus', 'Vagapov', 'Belogolovy', 'Ochiai', 'Valkov', 'Minyar', 'Ellershaw', 'Piskarev', 'Bakurov', 'Averkoff', 'Zasko', 'Gok', 'Loritz', 'Daniel', 'Alamanni', 'Hughes', 'Benenati', 'Sardelis', 'Sheldon', 'Isa', 'Mustafa', 'Tsai', 'Shamon', 'Zhikin', 'Escarcega', 'Keighley', 'Gordopolov', 'Varakin', 'Haidurov', 'Kamioka', 'Velichko', 'Aparin', 'Chuvailov', 'Judovich', 'Bekhmetiev', 'Hine', 'Kalabukhov', 'Rademaker', 'Abakumtsev', 'Zhavoronkov', 'Vavilov', 'Rahvalov', 'Mottram', 'Jatzunov', 'Sarkis', 'Pelsh', 'Close', 'Taflambas', 'Handorin', 'Marchuk', 'Cavalcante', 'Felix', 'Muggia', 'Veligodsky', 'Brewer', 'Antunez', 'Adam', 'Kurmochi', 'Jukhman', 'Zhigily', 'Basara', 'Faolan', 'Onkov', 'Komatsu', 'Turati', 'Sepp', 'Tubli', 'Portsienko', 'Mun', 'Bakusov', 'Pavlunin', 'Usyskin', 'Eidman', 'Imenin', 'Kabeshov', 'Gatti', 'Ghannam', 'Vinichenko', 'Judochkin', 'Vaisfeld', 'Hapov', 'Whitehead', 'Zasuhin', 'Bishara', 'Hasegawa', 'Kanaan', 'Nassar', 'Abaturoff', 'Alter', 'Hadad', 'Khouri', 'Pechenev', 'Hanzhin', 'Antar', 'Kedzierski', 'Abbracciabeni', 'Judkovich', 'Stephen', 'Aswad', 'Hairulin', 'Mordovtsev', 'Kuijpers', 'Hanzhin', 'Macha', 'Jarzembowski', 'Voakes', 'Pryor', 'Alper', 'Lethbridge', 'Georgijev', 'Kartavtsev', 'Kristensen', 'Zhigachev', 'Kabulahin', 'Guzovsky', 'Entus', 'Judushkin', 'Zhernovoy', 'Gott', 'Bob', 'Venn', 'Polibin', 'Adaryukov', 'Jakunichev', 'Birut', 'Kraus', 'Schepitsky', 'Lemmi', 'Thayer', 'Valetov', 'Gudymenko', 'Issa', 'Alanson', 'Almetiev', 'Zharkovsky', 'Nishikawa', 'Eigin', 'Abdulov', 'Teterev', 'Africani', 'Tapia', 'Trnkova', 'Ullmann', 'Kennell', 'Tulnikov', 'Karamorita', 'Ganim', 'Babadzhan', 'Eglevsky', 'Tedesco', 'Nahas', 'Hasanov', 'Nakatoni', 'Tuma', 'Russkin', 'Donchak', 'Bazzi', 'Segher', 'Vyatkin', 'Matskov', 'Molokov', 'Davenport', 'Howden', 'Dovgel', 'Kattan', 'Khouri', 'Wilkin', 'Liholobov', 'Velichansky', 'Balabudkin', 'Mihin', 'Ustinov', 'Vederman', 'Rekun', 'Yahlakov', 'Yard', 'Batt', 'Awerianoff', 'Elatontsev', 'Crowe', 'Seghers', 'Bakhanov', 'Gulidov', 'Vipper', 'Neisser', 'Averyanov', 'Trujillo', 'Lebzyak', 'Vertiev', 'Jangarber', 'Ferguson', 'Emelin', 'Genji', 'Wexler', 'Okazaki', 'Rompaey', 'Piskus', 'Aldren', 'Jonhson', 'Hadad', 'Alduino', 'Noble', 'Babusenko', 'Zilberschlag', 'Ustimovich', 'Rahmatullin', 'Avdiewski', 'Aswad', 'Keir', 'Lai', 'Cliff', 'Rigby', 'Uchiyama', 'Fawn', 'Makhrov', 'Lupichev', 'Watt', 'Rujitsky', 'Hofer', 'Vagner', 'Hamaev', 'Jvanetsky', 'Salib', 'Tomashpolsky', 'Parakhin', 'Webster', 'Pavia', 'Pey', 'Roggeveen', 'Baichorov', 'Nahamkis', 'Gosselin', 'Rujnikov', 'Miles', 'Sarkozy', 'Rigin', 'Zhemuhov', 'Jablokov', 'Freeman', 'Holzakov', 'Greener', 'Renna', 'Haskin', 'Baholdin', 'Nana', 'Ghanem', 'Auer', 'Tanner', 'MaxaB', 'Wilton', 'San', 'Hairov', 'Homentovsky', 'Ventura', 'Ogterop', 'Tuma', 'Cooke', 'Dubakin', 'Glubokovsky', 'Hitrin', 'Prikupets', 'Samuel', 'Nusinov', 'Tonner', 'Patten', 'Zhakmon', 'Wright', 'Jelyabovsky', 'Von ingersleben', 'Hatit', 'Valentei', 'Glasgow', 'Mih', 'Fakhoury', 'Bibin', 'Zastrozhny', 'Tchartorijsky', 'Pirtskhalava', 'Mihasenko', 'Pereira', 'Keaveney', 'Pack', 'Morgan', 'Hora', 'Hakimi', 'Barr', 'Vicario', 'Nastavin', 'Martyushov', 'Akram', 'Ponec', 'Luo', 'Dundon', 'Gough', 'Tamboia', 'Takeda', 'Mstislavsky', 'Vinchi', 'Shenderovich', 'Asghar', 'Tsvetkov', \"O'Donnell\", 'Klein', 'Aguzaroff', 'Yukhno', 'Hanetsky', 'Timiskov', 'Juferov', 'Valkevich', 'Maalouf', 'Bakun', 'Vodden', 'Tikhobaev', 'Cunningham', 'Rogalev', 'Momdji', 'Maroun', 'Tugai', 'Halyapin', 'Breitbarth', 'Prokofiev', 'Glew', 'Acqua', 'Wendell', 'Glavin', 'Freudenberger', 'Noschenko', 'Batchmanov', 'Lezov', 'Basyrov', 'Absalyamov', 'Jernovoy', 'Eneev', 'Viranovsky', 'Jakimovich', 'Ibuka', 'Hatch', 'Ustimov', 'Robledo', 'Dunkle', 'Tovstolujsky', 'Voss', 'Luskanov', 'Rovigatti', 'Mather', 'Gladwell', 'Mitsukuri', 'Zhelekhovsky', 'Tobias', 'Holzknecht', 'Provan', 'Zharkikh', 'Northcott', 'Dubhan', 'Agrenev', 'Mikhailovsky', 'Gammer', 'Hawkridge', 'Abitoff', 'Abrasimov', 'Musahanov', \"O'Brian\", 'Tundykov', 'Araullo', 'Lyme', 'Kalb', 'Hanania', 'Jirnov', 'Bishara', 'Cham', 'Mclaren', 'Faddeev', 'Western', 'Vinaver', 'Ashe', 'Keight', 'Erjenkov', 'Reijnder', 'Siegel', 'Stroggylis', 'Pytalev', 'Tsyrulik', 'Wolf', 'Kimber', 'Freeburn', 'Rakhletsky', 'Eversman', 'Foxley', 'Belmonte', 'Durr', 'Jurihin', 'Jimenez', 'Vinius', 'Piunov', 'Ryjanov', 'Beadle', 'Connell', 'Snijder', 'Zhirmunsky', 'Cham', 'Jangel', 'Crofts', 'Lamb', 'Opp', 'Assaf', 'Riese', 'Modestov', 'Pasfield', 'Zenger', 'Nedd', 'Baitalsky', 'Hubbard', 'Mcguinness', 'Schmeling', 'Abukhoff', 'Minamoto', 'Baz', 'Bishara', 'Hochberg', 'Vakulsky', 'Haanraats', 'Belyusov', 'Padovano', 'Zimitsky', 'Nicholls', 'Raeburn', 'Davydovich', 'Czajka', 'Ajdrna', 'Zhigalev', 'Santos', 'Durand', 'Bakshtanovski', 'Abdulgapuroff', 'Nanami', 'Mertens', 'Panesar', 'Mifsud', 'Papadopulos', 'Kato', 'Sitz', 'Finogeev', 'Orme', 'Atabekov', 'Yadrennikov', 'Holloway', 'Shaitanov', 'Zhamoido', 'Adamovitch', 'Rampling', 'Tzarenkov', 'Mahmutov', 'Pohvisnev', 'Rahletsky', 'Smit', 'Conall', 'Boulos', 'Doveiko', 'Abolin', 'Awanesov', 'Mulyavin', 'Kusuhara', 'Zhavoronok', 'Zhuravsky', 'Marchioni', 'Aggi', 'Mozheiko', 'Suzambo', 'Huffmann', 'Takahashi', 'Jerebyatiev', 'Bilibin', 'Jenner', 'Baitchorov', 'Allum', 'Bonnaire', 'Dahaev', 'Sampson', 'Miyamoto', 'Darlington', 'Zolotnitzky', 'Zhen', 'Safar', 'Gulak', \"Es'Kin\", 'Nader', 'Gronchi', 'Kanegawa', 'Innocenti', 'Avramenko', 'Veprentsev', 'Golosenko', 'Kumagae', 'Jong', 'Tsagadaev', 'Beer', 'Avinov', 'Ustinkin', 'Wasem', 'Tolvinsky', 'Zhelezov', 'Awerichkin', 'Jirkov', 'Mosheev', 'Piraino', 'Tuguz', 'Spijker', 'Gudovich', 'Mayer', 'Lodochnikov', 'Baba', 'Chertorijsky', 'Mcclymont', 'Sokolofsky', 'Atabiev', 'Crawford', 'Tsekhansky', 'Dandy', 'Kerrighen', 'Zavodnov', 'Jemaldinov', 'Balakhonov', 'Balanowsky', 'Brioschi', 'Ketteringham', 'Detinko', 'Tsuruya', 'Alam', 'Batty', 'Woo', 'Vygodin', 'Mahotkin', 'Omelianovsky', 'Clark', 'Walter', 'Javoronsky', 'Prentice', 'Blanco', 'Zolotai', 'Harkovchuk', 'Briggs', 'Kusunoki', 'Ritchie', 'Adriyanov', 'Wheatley', 'Zhadovsky', 'Chepelyanov', 'Piskorsky', 'Andreenko', 'Nesgovorov', 'Tubolkin', 'Wilmot', 'Nahas', 'Zogby', 'Sheluntsov', 'Kock', 'Schmeiser', 'Hajjar', 'Shalyto', 'Velmukin', 'Harb', 'Sabbag', 'Arita', 'Avakyan', 'Chepulyanis', 'Atalian', 'Rivers', 'Filipenko', 'Haidukov', 'Dunford', 'Aven', 'Hitrov', 'Avenarius', 'Abakumov', 'Zhukovich', 'Sharp', 'Stablum', 'Yakhnyuk', 'Valter', 'Tsvibak', 'Jijchenko', 'Djelepov', 'Sereda', 'Hatskevich', 'Gudenok', 'Papke', 'Kaza', 'Rishitnik', 'Shalyapin', 'Irvin', 'Zhikharev', 'Woodhouse', 'Harchenko', 'Baumgartner', 'Kanagaki', 'Pochtennyh', 'Gilbert', 'Mullins', 'Moshenko', 'Baiburtyan', 'Djigit', 'Bitar', 'Alexandropoulos', 'Demko', 'Etchells', 'Handjyan', 'Ogden', 'Mikhalchev', 'Rainford', 'Ridgwell', 'Horiatis', 'Katzan', 'Zharinov', 'Cowell', 'Mikhelson', 'Toma', 'Gudenko', 'Everton', 'Totah', 'Bahar', 'Zhigarev', 'Avksentievsky', 'Macdonald', 'Bachinsky', 'Baitchikoff', 'Marshak', 'Bannister', 'Nahutin', 'Vaganov', 'Quang', 'Antoun', 'Turpaev', 'Aart', 'Shirkovets', 'Takagi', 'Pytsky', 'Ferry', 'Selby', 'Asfour', 'Vaiman', 'Meshkovsky', 'Jijin', 'Clamp', 'Jujnev', 'Toktahunov', 'VanPuteren', 'Tilson', 'Bakitski', 'Velsh', 'Sarkis', 'Yanovka', 'Stark', 'Vyahirev', 'Malouf', 'Monte', 'Pavlinsky', 'Tatsuno', 'Ageichik', 'Janaev', \"D'antonio\", 'Jameson', 'Donn', 'Elvin', 'Zheliba', 'Cola', 'Lac', 'Minkov', 'Castro', 'Sierra', 'Lim', 'Higginson', 'Nawabe', 'Alessi', 'Nagel', 'Rutenburg', 'Gensai', 'Marquerink', 'Elder', 'Caito', 'Askew', 'Jian', 'Hiyama', 'Muzhdabaev', 'Dogujiev', 'Cham', 'Balanovski', 'Lutov', 'Dubkov', 'Boulos', 'Maguire', \"D'cruz\", 'Gagne', 'Gabler', 'Fontana', 'Kealey', 'Toyoda', 'Tickner', 'Ito', 'Andryushin', 'Garvey', 'Wrigglesworth', 'Monti', 'Jabinsky', 'Mikhalevsky', 'Beklenischev', 'Yasmin', 'Butler', 'Yanagita', 'Bestov', 'Kirkland', 'Vypolzov', 'Nejlukto', 'Shamurin', 'Lavoie', 'Egleton', 'Kazmier', 'Bawtrukevitch', 'Shadid', 'Betts', 'Mokerov', 'Mikhailushkin', 'Aniskin', 'Koenig', 'Desyatov', 'Seif', 'Holder', 'Chursalov', 'Smolak', 'Nazari', 'Thibault', 'Tikhonkih', 'Awen', 'Kramer', 'Hlopkov', 'Akiyama', 'Jdanko', 'Gaffney', 'Shaitan', 'Raikhelgauz', 'Mihailichenko', 'Lonsdale', 'Wareing', 'Nassar', 'Loughran', 'Poliev', 'Silva', 'Tilley', 'Bagmet', 'Pensky', 'Varano', 'Pontyushenko', 'Kidman', 'Welton', 'Bitar', 'Tugaev', 'Adabir', 'Carlevaro', 'Pehtin', 'Tsakhilov', 'Holeva', 'Janovka', 'Lobo', 'Samuel', 'Abasolo', 'Maryanovsky', 'Shamoon', 'Kober', 'Kollen', 'Pitatelev', 'Maddocks', 'Tahan', 'Chuhlomin', 'Southwick', 'Gujo', 'Yakunin', 'Averbah', 'Terranova', 'Geta', 'Wright', 'Cerney', 'Mikhail', 'Wirner', 'Okasawa', 'Travis', 'Godby', 'Wadham', 'Almasi', 'Baichoroff', 'Wasem', 'Attia', 'Cheng', 'Shammas', 'Pennell', 'Vlasek', \"V'Yugin\", 'Jadan', 'Jitomirsky', 'Jakshin', 'Ealham', 'Ladyzhensky', 'Handrikov', 'Narita', 'Hiroyuki', 'Dobromyslov', 'Ishida', 'Blanchard', 'Balabanoff', 'Matsumara', 'Vaskov', 'Ewles', 'Oleastro', 'Maron', 'Birshtein', 'Grosfeld', 'Parr', 'Charoshnikov', 'Minami', 'Zhemaldinov', 'Hara', 'Wetzel', 'Vikhirev', 'Bishara', 'Tuma', 'Yoshizaki', 'Laver', 'Ryjakov', 'Keeler', 'Lord', 'Markhasin', 'Romeijnsen', 'Mcconnell', 'Kaleev', 'Durante', 'Cham', 'Minevich', 'Jamieson', 'Morehin', 'Likhachev', 'Ennikeev', 'Tihodeev', 'Vanichev', 'Norm', 'Remikh', 'Prinz', 'Zharihin', 'Matzeyovsky', 'Derfel', 'Vinyarsky', 'Loder', 'Jovtun', 'Seif', 'Taylor', 'Djangirli', 'Cross', 'Nassar', 'Koole', 'Bestolov', 'Tchekomasov', 'Klemper', 'Weigand', 'Abdrakhmanov', 'Roncalli', 'Gall', 'Nyamin', 'Como', 'Tahan', 'Agarin', 'Verre', 'Azhinoff', 'Oliver', 'Ruzaikin', 'Tschida', 'Gasparov', 'Qureshi', 'Rahal', 'Cherry', 'Macon', 'Sandison', 'Nijevyasov', 'Kachimov', 'Taurel', 'Eltsin', 'Haddock', 'Taidhg', 'Fishlock', 'Matzotsky', 'Noel', 'Arnoni', 'Pligin', 'Donnchadh', 'Alcock', 'Likh', 'Tahan', 'Dertynov', 'Gordon', 'Shalavin', 'Lewerenz', 'Ganim', 'Movchan', 'Tahan', 'Diduh', 'Hooton', 'Eizhvertin', 'Lowrie', 'Masih', 'Neilsen', 'Cottrell', 'Bloom', 'Jeverjeev', 'Dobuzhinsky', 'Portnoy', 'Jamoido', 'Turney', 'Lindsay', 'Tuma', 'Zini', 'Nahas', 'Shimada', \"Shan'Gin\", 'Janochkin', 'Wasem', 'Sarraf', 'Lowbridge', 'Jurkovsky', 'Holmogortsev', 'Luhmanov', 'Gromyko', 'Valitov', 'Toguzov', 'Minchenkov', 'Eltis', 'Bordelon', 'Redmond', 'Almasi', 'Hudyakov', 'Baikovski', 'Tovstykh', 'Sakin', 'Zabala', 'Poretsky', 'Zheurov', 'Bitar', 'Glazenap', 'Molchansky', 'Dikikh', 'Bradan', 'Aalst', 'Baikin', 'Nader', 'Beck', 'Durgaryan', 'Pushkov', 'Belikov', 'Gutierrez', 'Tomas', 'Antar', 'Bahir', 'Vasyurin', 'Jadanov', 'Craig', 'Yamashita', 'Lapisov', 'Tuzov', 'Creasey', 'Sterling', 'Junusov', 'Kendrick', 'Thomas', 'Shalhoub', 'Chekh', 'Longo', 'Potsepkin', 'Mojaisky', 'Zhvirblis', 'Swain', 'Mckay', 'Sugihara', 'Sawamatsu', 'Portsevsky', 'Senft', 'Dubina', 'Masin', 'Gately', 'Serechenko', 'Shirkov', 'Bursinos', 'Harb', 'Tultsev', 'Rootham', 'Chepik', 'Malihoudis', 'Dobridnyuk', 'Ramaaker', 'Alhimov', 'Gladyshev', 'Veale', 'Juhnev', 'Lachance', 'Kalb', 'Simmon', 'Zeifert', 'Nassar', 'Najjar', 'Bagramyan', 'Miller', 'Hlestov', 'Rakhmanov', 'Pontecorvo', 'Avertchenko', 'Rempler', 'Zhivotovsky', 'Nolan', 'Babin', 'Didychenko', 'Rahman', 'Cernohous', 'Torres', 'Zhitarev', 'Kalinko', 'Mcnally', 'Royama', 'Knutt', 'Lorentz', 'Kreyling', 'Jaganov', 'Zogby', 'Lokhno', 'Ganim', 'Li', 'Taguchi', 'Ayabito', 'Takarabe', 'Pyjikov', 'Paidoverov', 'Tsys', 'Riches', 'Daher', 'Penfold', 'Jordon', 'Fenyo', 'Tsvilgnev', 'Reyer', 'Deniskin', 'Turvey', 'Park', 'Rogalnikov', 'Boesch', 'Yoman', 'Abel', 'Shirokawa', 'Vyshnegradsky', 'Allard', 'Abrukov', 'Snell', 'Balamutenko', 'Entin', 'Bueren', 'Nahas', 'Srour', 'Tipping', 'Treasach', 'Saxton', 'Giunta', 'Bakhrakh', 'Zhbankov', 'Tumov', 'Tropp', 'Kitabatake', 'Mohan', 'Isa', 'Zhelyabov', 'Crow', 'Gardiner', 'Pokhilchuk', 'Vadkovski', 'Tzelikov', 'Deverell', 'Doon', 'Nazari', 'Kwakami', 'Idane', 'Hugaev', 'Babetov', 'Someya', 'Timonin', 'Shakhovskoi', 'Hall', 'Joubert', 'Nishimoto', 'Mikhnenko', 'Zhelyabovsky', 'Tobiash', 'Nader', 'Galena', 'Abushenko', 'Martyshevsky', 'Shananykin', 'Ottley', 'Avsenev', 'Gribov', 'Balakhowsky', 'Cochrane', 'Yakunichev', 'Rakhlevsky', 'Prieto', 'Owens', 'Pocock', 'Alexandar', 'Phoenix', 'Molodin', 'Mingrelsky', 'Hazeev', 'Averitchkin', 'Adoduroff', 'Whitaker', 'Maloof', 'Glaisyer', 'Drinkwater', 'Mackenzie', 'Hilkov', 'Jabrev', 'Forster', 'Baiguzin', 'Kondo', \"O'Dowd\", 'Yamazaki', 'Harash', 'Newson', 'Hind', 'Mitsuharu', 'Lafrentz', 'Wotherspoon', 'Jaso', 'Gerges', 'Awerkowitch', 'Pascoe', 'Pitomets', 'Cremaschi', 'Miyamae', 'Kabak', 'Batuhtin', 'Zhuzhlev', 'Aslam', 'Noach', 'Pavlishin', 'Avdulov', 'Azhinov', 'Haimi', 'Rivkin', 'Chekhladze', 'Gosse', 'Liberzon', 'Stock', 'Bakhtiev', 'Talovirko', 'Luxton', 'Antar', 'Avtandilov', 'Vestri', 'Mikhasenko', 'Priklonsky', 'Buchan', 'Fall', 'Healey', 'Avdyunin', 'Govorov', 'Smeets', 'Sokolof', 'Gehtman', 'Ackermann', 'Pechenezhsky', 'Tchalykh', 'Pirumov', 'Sakoda', 'Basara', 'Kattan', 'Tulebaev', 'Rey', 'Kamara', 'Best', 'Haschev', 'Azhiganov', 'Allkins', 'Nevelsky', 'Bakastoff', 'Harb', 'Flannery', 'Golovatsky', 'Joltovsky', 'Addley', 'Bakurinsky', 'Noskov', 'Filippov', 'Zavoruev', 'Eason', 'Handal', 'Gorka', 'Okeefe', 'Zobkob', 'Awdiyski', 'Lebinson', 'Hanania', 'Ducon', 'Jivkovich', 'Remezentsev', 'Avdyukov', 'Raven', 'Geiger', 'Stevenson', 'Durmanov', 'Jukhov', 'Garner', 'Safar', 'Tchekmarev', 'Hermann', 'Amod', 'Awagimoff', 'Specht', 'Kinch', 'Hiraga', 'Avchenko', 'Callaghan', 'Ganim', 'Muzhkaterov', 'Tunik', 'Bagandaliev', 'Santiago', 'Vaitsekhovsky', 'Fearns', 'Bagomaev', 'Porval', 'Janowich', 'Turutin', 'Clifton', 'Judolovich', 'Jakhimovich', 'Gros', 'Likhovskikh', 'Yakovlev', 'Bilyarsky', 'Redfern', 'Havroshkin', 'Kremlicka', 'Julebin', 'Sawyer', 'Percival', 'Sert', 'Tsen', 'Habibullin', 'Aspey', 'Baikaloff', 'Peter', 'Blecha', 'Handal', 'Stotzky', 'Gladun', 'Zeman', 'Koury', 'Bryant', 'Chuhadjyan', 'Raskop', 'Naifeh', 'Gerges', 'Voclain', 'Fierro', 'Egorin', 'Endoso', 'Crosby', 'Janjul', 'Avsyuk', 'Ang', 'Sparkes', 'Newsham', 'Hamadullin', 'Musaev', 'Deeb', 'Simons', 'Shigi', 'Dahno', 'William', 'Aleshire', 'Fukuda', 'Filippenkov', 'Lotter', 'Arrighetti', 'Bouchard', 'Jakupov', 'Abadi', 'Shaikevich', 'Nassar', 'Vaculova', 'Tuma', 'Nicholl', 'Adlam', 'Murrell', 'Teterin', 'Crabtree', 'Portnenko', 'Mokrov', 'Seif', 'Belluomi', 'Muzenitov', 'Aikman', 'Sayegh', 'Tzaregorodtsev', 'Cham', 'Pickthall', 'Nazari', 'Vazhov', 'Peusen', 'Samuel', 'Sauber', 'Tahan', 'Yangarber', 'Dozortsev', 'Kalautov', 'Mihnenko', 'Badych', 'Solomon', 'Bezyuk', 'Naifeh', 'Kalb', 'Newington', 'Viskov', 'Honenev', 'Hadad', 'Saigutin', 'Yahontov', 'Zhigalin', 'Konishi', 'Gudimov', 'Shalyugin', 'Yuhno', 'Driml', 'Chase', 'Bezyzvestnykh', 'Re', 'Timirgazeev', 'Iwahashi', 'Abrosimov', 'Silhan', 'Mordkovich', 'Lebereht', 'Daty', 'Lilly', 'Ardern', 'Bahtchivandzhi', 'Harb', 'Amos', 'Sleiman', 'Bieber', 'Balamykin', 'Bright', 'Essam', 'Vyrupaev', 'Bazylnikov', 'Nakasawa', 'Higoshi', 'Agalaroff', 'Koury', 'Upfield', 'Bakhorin', 'Vinnik', 'Glek', 'Nagatsuka', 'Tokin', 'Didarov', 'Goff', 'Martyshko', 'Thomas', 'Abramoff', 'Groisberg', 'Getmanchuk', 'Ellerby', 'Hatakeda', 'Tsaregorodtsev', 'Muladjanov', 'Hsiao', 'Horowitz', 'Watabe', 'Tuck', 'Leary', 'Tomashev', 'Nervi', 'Iskos', 'Frankish', 'Calveley', 'Higashiyama', 'Belchuk', 'Elcock', 'Drew', 'Campbell', 'Vavich', 'Bouloukos', 'Robishaw', 'Siu', 'Tong', 'Bazzi', 'Antar', 'Shevtsov', 'Yagodinsky', 'Janenko', 'Heruvimov', 'Shahurov', 'Baichenko', 'Balakhovsky', 'Giolla', 'Zhelohovtsev', 'Antoun', 'Kempson', 'Touma', 'Groshkov', 'Maly', 'Rennie', 'Pohodeev', 'Valtchitsky', 'Pinnock', 'Shan', 'Baevsky', 'Pierre', 'Zhebelev', 'Acosta', 'Lynas', 'Lame', 'Gudtsov', 'Chepaksin', 'Zharkih', 'Ohishi', 'Yandulsky', 'Potenza', 'Holden', 'Toyota', 'Tannous', 'Broadley', 'Portugalsky', 'Mohamed', 'Jager', 'Grohar', 'Kettell', 'Handal', 'Vilbreht', 'Rosenfeld', 'Saliba', 'Higgins', 'Vasyatkin', 'Titmus', 'Harada', 'Izzard', 'Zheleznyakov', 'Finagin', 'Hangurian', 'Gamble', 'Jadryshnikov', 'Schneider', 'Bakaleinikoff', 'Tuzin', 'Martzenkov', 'Koury', 'Packard', 'Vyskrebtsov', 'Capitani', 'Furusawa', 'Hawkes', 'Jakimets', 'Villis', 'Ebner', 'Chernin', 'Behteev', 'Teoh', 'Gulyaev', 'Atallakhanov', 'Sonnen', 'Paterson', 'Jukhanaev', 'Yakovkin', 'Uerling', 'Taka', 'Talalihin', 'Quraishi', 'Piskoppel', \"Es'Kov\", 'Baum', 'Golosov', 'Ngai', 'Hashaba', 'Balahovsky', 'Mendelssohn', 'Horn', 'Rovkovsky', 'Golobokov', 'Davidyants', 'Tzeiner', 'Bekuh', 'Jobson', 'Avaliani', 'Yakushkov', 'Prehatney', 'Chuhrov', 'Jin', 'Hana', 'Neighbour', 'Homutnikov', 'Mcmahon', 'Leonard', 'Ulyatt', 'Pudel', 'Isaiko', 'Morekhin', 'Hellewege', 'Swanson', 'Dzhumaev', 'Magalhaes', 'Dobryansky', 'Hill', 'Awad', 'Yanenko', 'Yang', 'Dover', 'Fernandes', 'Mikhail', 'Tomas', 'Gorbuzenko', 'De luca', 'Raihlin', 'Biondo', 'Jalamov', 'Gardinier', 'Mojin', 'Schrijnemakers', 'Wendel', 'Orritt', 'Hunter', 'Macghabhann', 'Yankilevsky', 'Dijin', 'Molotov', 'Binshtok', 'Abanin', 'Guerriero', 'Vinnichenko', 'Emtsov', 'Seelenfreund', 'Suk', 'Podsevalov', 'Gordasevich', 'Alfonsov', 'Valeev', 'Morgenstern', 'Jornyak', 'Sutherland', 'Hagino', 'Soucy', 'Myachkov', 'Atyashev', 'Vildanov', 'Sarraf', 'Kelly', 'Dahnov', 'Kassis', 'Hanjonkov', 'Eglan', 'Karube', 'Jakov', 'Quinton', 'Asker', 'Atallahanov', 'Digurov', 'Mogilevsky', 'Ewing', 'Yoshihara', 'Abboud', 'Avtchenko', 'Hajjar', 'Woodley', 'Villevalde', 'Matocha', 'Ola', 'Sleiman', 'Zelent', 'Rahmanov', 'Voyse', 'Vale', 'Kuhn', 'Jo', 'Bazzi', 'Bagryanski', 'Mogilyuk', 'Adamov', 'Fabrichny', 'Finnimore', 'Paidyshev', 'Han', 'Jiltsov', 'Michel', 'Turulo', 'Waterfield', 'Cermak', 'Adyrkhaev', 'Isherwood', 'Talanov', 'Tchekin', 'Tikhy', 'Mikhalushkin', 'Haritopoulos', 'Villaverde', 'Ghanem', 'Mifune', 'Agalakov', 'Xun', 'Leibin', 'Bowen', 'Kurray', 'Felton', 'Baz', 'Balawin', 'Nahas', 'Juan', 'Bland', 'Sobol', 'Dzhanakavov', 'Baidavletov', 'Hanjin', 'Avrutin', 'Deegan', 'Jovnerik', 'Almetov', 'Hamada', 'Bilimovich', 'Ventura', 'Harb', 'Voznesensky', 'Pendlebury', 'Nassar', 'Mukusev', 'Hlopiev', 'Babichev', 'Ebergard', 'Guzanov', 'Baba', 'Bass', 'Sarraf', 'Wither', 'Jadaev', 'Feschuk', 'Elehin', 'Assaf', 'Zastrojny', 'Elena', 'Murtazin', 'Mikhalkov', 'Naser', 'Acker', 'Marshall', 'Yalovenko', 'Probert', 'Lovett', 'Johin', 'Guldin', 'Grankov', 'Campbell', 'Boutros', 'Groshev', 'Zhitnik', 'Lowe', 'Reay', 'Jeffers', 'Kassis', 'Hanzlik', 'Sherriff', 'Valev', 'Chusov', 'Timin', 'Baba', 'Mikhailichenko', 'Strickland', 'Rutkowski', 'Makhro', 'Shaikov', 'Mihalevsky', 'Horn', 'Isman', 'Kafka', 'Djigarhanyan', 'Tsyurupa', 'Badygin', 'Bakshansky', 'Mihersky', 'Maryashev', 'Shalashilin', 'Winter', 'Omischenko', 'Abelsky', 'Harb', 'Kirwan', 'Koci', 'Moser', 'Geracimos', 'Moreno', 'Pellegrino', 'Simons', 'Vedrov', 'Altoviti', 'Pavlik', \"Avak'Yan\", 'Natale', 'Zhitlukhin', 'Vyborov', 'Kihara', 'Sugisata', 'Abboud', 'Shirmankin', 'Jemaitis', 'Voznov', 'Vacca', 'Hafernik', 'Viola', 'Narato', 'Zhemlihanov', 'Mihalenkov', 'Beitel', 'Issa', 'Mollaev', 'Avgerinos', 'Goloulin', 'Yaglintsev', 'Fiokhin', 'Averin', 'Aweritchkin', 'Hanania', 'Muraro', 'Novy Novy', 'Malouf', 'Sommer', 'Hakimi', 'Rodriguez', 'Vanke', 'Randall', 'Awinowitsky', 'Avturhanov', 'Ba', 'Charushkin', 'Alldritt', 'Baz', 'Velio', 'Hadad', 'Raizer', 'Muldashev', 'Pickett', 'Abdrahimoff', 'Rivkind', 'Govorushin', 'Crossland', 'Pavlyuk', 'Valevin', 'Goloskokov', 'Macgregor', 'Kaufman', 'Jury', 'Haritonenko', 'Molnovetsky', 'Mozhaev', 'Akhtar', 'Sleiman', 'Hlebanov', 'Gulyak', 'Gerojev', 'Hassel', 'Vertogradsky', 'Clancy', 'Kamenetzky', 'Jjenov', 'Moller', 'Biggs', 'Maurice', 'Sayegh', 'Grammatin', 'Katsnelson', 'Bekhoev', 'Isakovsky', 'Nascimbene', 'Rushbrooke', 'Bazetskov', 'Jekulin', 'Jmelkov', 'Agaev', 'Kahler', 'Reier', 'Morzhin', 'Ghannam', 'Lihovskih', 'Capello', 'Janutka', 'Saller', 'Ziyakov', 'Bicchieri', 'Ableuhoff', 'Ashton', 'Yorston', 'Nuryshev', 'Reeve', 'Agrikov', 'Kabanov', 'Vesninov', 'Nevin', 'Douthwaite', 'Zelensky', 'Bessonov', 'Awchenko', 'Mullen', 'Mordvintsev', 'Mordvinoff', 'Samaha', 'Finoshin', 'Atajahov', 'Guerra', 'Dobrynin', 'Demich', 'Wedekind', 'Jahno', 'Pellenen', 'Bruckner', 'Poryvaev', 'Pawlak', 'Fionov', 'Nie', 'Riha', 'Jakushkin', 'Mikhail', 'Mineev', 'Svotchak', 'Shirinyants', 'Garver', 'Agranovsky', 'Jmotov', 'Baibursky', 'Fairweather', 'Tahan', 'Duarte', 'Arechavaleta', 'Chepikov', 'Uggeri', 'Santos', 'Chizhikov', 'Reeves', 'Sabbag', 'Handal', 'Paraskos', 'Yablonovsky', 'Tujilkin', 'Jolley', 'Nessbert', 'Mihailidi', 'Khouri', 'Fonseca', 'Cumming', 'Holstov', 'Staff', 'Jejel', 'Dalzell', 'Altfater', 'Corti', 'Tillett', 'Saliba', 'Walsh', 'Zhi', 'Venne', 'Overing', 'Jeleznikov', 'Abel', 'Abelyan', 'Adylov', 'Eliasberg', 'Short', 'Shadura', 'Antonyuk', 'Chilar', 'Assaf', 'Chaleev', 'Cervenka', 'Glencross', 'Zhernokleev', 'Aldred', 'Adriyanoff', 'Jiharevitch', 'Vyrenkov', 'Plis', 'Rickett', 'Zhimila', 'Mcghee', 'Pazuhin', 'Djunkovsky', 'Pitenin', 'Frierdich', 'Sokoloff', 'Tsevlonsky', 'Hautum', 'Harrop', 'Kalimulin', 'Armitage', 'Botros', 'Anutriev', 'Leeson', 'Prchal', 'Islambekov', 'Abboud', 'Antonchenko', 'Ghanem', 'Weeber', 'Spiller', 'Mnuskin', 'Lutchenko', 'Filippenko', 'Dinko', 'Lawrence', 'Balaguroff', 'Murchenko', 'Pyhov', 'Jivoluk', 'Lihobaba', 'Fujioka', 'Bagdasarov', 'Campo', 'Troekurov', 'Nakae', 'Tuma', 'Stark', 'Pochkailo', 'Marutenkov', 'Sweeting', 'Miyoshi', 'Salib', 'Altimari', 'Hain', 'Likhobabin', 'Zhmuro', 'Trukhnin', 'Grozovsky', 'Yanaki', 'Antoun', 'Boyce', 'Orbell', 'Eggleston', 'Rushton', 'Lefurgey', 'Hanika', 'Balakhowski', 'Nicastro', 'Avdiyski', 'Guarneri', 'Kalogeria', 'Palomo', 'Yakovuk', 'Richardson', 'Chehladze', 'Pahunov', 'Harlov', 'Yakimets', 'Fakhoury', 'Alves', 'Kalinin', 'Sasaki', 'Ligostaev', 'Dupont', 'Nicolson', 'Tappin', 'Zuniga', 'Molotilov', 'Verbin', 'Dobrolyubov', 'Khoury', 'Auerbah', 'Nicol', 'Shainurov', 'Riddler', 'Sheluhin', 'Gilbey', 'Pyavko', 'Tuma', 'Knepp', 'Roma', 'Enden', 'Nijegorodtsev', 'Jewson', 'Enright', 'Mathieu', 'Kloeten', 'Umeki', 'Cawley', 'Terzi', 'Grushelevsky', 'Altena', 'Gemmell', 'Jidilin', 'Zenkov', 'Bean', 'Ladyjets', 'Sasakawa', 'Earing', 'Tatenaka', 'Vyaznikovtsev', 'Bahlaev', 'Grigoriev', 'Abdulatipoff', 'Brain', 'Jumenko', 'Tahan', 'Yukhimenko', 'Martynenko', 'Burman', 'Hebert', 'Toman', 'Habarov', 'Mao', 'Froltsov', 'Quirke', 'Rakhmaninov', 'Harwood', 'Huang', 'Yuzgin', 'Usik', 'Sayers', 'Masih', 'Yakuba', 'Desnitsky', 'Sayegh', 'Gultyaev', 'Jurkin', 'Katsarev', 'Yachevsky', 'Vakker', 'Nassar', 'Golovenkin', 'Galteev', 'Molostov', 'Pavlichenko', 'Ankeren', 'Hamilton', 'Tobias', 'Touma', 'Barabanov', 'Kolijn', 'Miwa', 'Molyakov', 'Hardwick', 'Lutsev', 'Schindler', 'Gunther', 'Gaber', 'Pohis', 'Saleh', 'Livenzon', 'Butterworth', 'Bishara', 'Didichenko', 'Pochechikin', 'Toma', 'Kruger', 'Dudnakov', 'Rebinder', 'Essa', 'Veverka', 'Savatier', 'Asanuma', 'Knibb', 'Chekmarev', 'Wasem', 'Holguin', 'Wolff', 'Florey', 'Narahashi', 'Fakhoury', 'Ophoven', 'Orvis', 'Jmaev', 'Zenkovich', 'Sen', 'Liholat', 'Dolezal', 'Bowers', 'Maksyutov', 'Chuvaldin', 'Nassar', 'Androsov', 'Herrero', 'Mcgrory', 'Gagarinsky', 'James', 'Jelezny', 'Amello', 'Mushanaokoji', 'Zhiro', 'Baba', 'Knef', 'Manson', 'Valtchikovsky', 'Ponasov', 'Keeling', 'Grainger', 'Basara', 'Golobokih', 'Saigin', 'Gudovsky', 'Gaudasinsky', 'Miazga', 'Shakhbanov', 'Abrasimoff', 'Awakyan', 'Tchalyh', 'Que', 'Hirikilis', 'Gordyushin', 'Travere', 'Sarraf', 'Thurgood', 'Rohin', 'Rzehak', 'Hutchinson', 'Davletov', 'Minniakhmetov', 'Ri', 'Jitnik', 'Ganem', 'Tokunov', 'Hizhnyak', 'Paduchev', 'Manco', 'Badukin', 'Opayne', 'Tchehovsky', 'Nazari', 'Renne', 'Ignatyuk', 'Bazzi', 'Ivory', 'Day', 'Belorussov', 'Pirozhenko', 'Fiskin', 'Limarev', 'Lystsov', 'Yagupets', 'Hallett', 'Gorfinkel', 'Pliss', 'Zhitluhin', 'Medina', 'Zhuzhnev', 'Oursler', 'Abbasov', 'Cahill', 'Bagni', 'Molchanov', 'Newman', 'Kouri', 'Ihara', 'Koga', 'Efanov', 'Sakovich', 'Elleray', 'Esipov', 'Jukhnin', 'Kentwood', 'Zhabykin', 'Awik', 'Ganim', 'Atherley', 'Bishara', 'Trukhanovsky', 'Awchinnikoff', 'Fairchild', 'Pahtanov', 'Dobujinsky', 'Chuhnin', 'Najjar', 'Haine', 'Dubois', 'Sarraf', 'Muir', 'Inker', 'Grot', 'Kitching', 'Likov', 'Dubrowski', 'Bhrighde', 'Lockhart', 'Malouf', 'Jvykin', 'Monette', 'Anurov', 'Horrocks', 'Brandt', 'Joseph', 'Kalamanov', 'Allard', \"At'Kov\", 'Gorlov', 'Topley', 'Dana', 'Galochkin', 'Inaba', 'Alessandri', 'Jizdik', 'Greenhill', 'Atiyeh', 'Zheludkov', 'Bairashevsky', 'Musabaev', 'Pelshe', 'Belikin', 'Timkaev', 'Hatov', 'Zhivoderov', 'Jilyardy', 'Jambaev', 'Destunis', 'Isaac', 'Abdulaev', 'Leese', 'Macleod', 'Mohov', 'Patchett', 'Daher', 'Yuhnin', 'Porohov', 'Barclay', 'Shammas', 'Vicary', 'Churchill', 'Gross', 'Jeltuhin', 'Bradbury', 'Maneates', 'Abaev', 'Honov', 'Xian', 'Jagupa', 'Lajentsev', 'Charron', 'Barros', 'Lukhvich', 'Vakulovsky', 'Agatyev', 'Ganim', 'Antram', 'Bahmin', 'Jdakaev', 'Bartalotti', 'Fakhoury', 'Toichkin', 'Tonge', 'Masters', 'Bazhanov', 'Spicka', 'Zhulebin', 'Jitlukhin', 'Abovin', 'Nunez', 'Abbiati', 'Bahmatov', 'Sekigawa', 'Fazilov', 'Bakhmin', 'Wojewodka', 'Badalbeili', 'Maksimtsev', 'Rakhvalov', 'Jagupets', 'Shakhlamov', 'Baker', 'Hanikyan', 'Purcell', 'Elmes', 'Durber', 'Bishara', 'Vakser', 'Fairley', 'Close', 'Djanashiya', 'Kalintsev', 'Hajjar', 'Gowing', 'Deeb', 'Quasninsky', 'Zhevahov', 'Piskulov', 'Bakhlulzade', 'Huajev', 'Grout', 'Ruiz', 'Jachmenev', 'Said', 'Ekin', 'Baxter', 'Hakimi', 'Bakhtiyaroff', 'Salvail', 'Awdeeff', 'Tuthill', 'Beltyukov', 'Giugovaz', 'Segal', 'Poryadin', 'Kirkpatrick', 'Connolly', 'Duke', 'Tsubouchi', 'Yetman', 'Davidenko', 'Asher', 'Andruhovich', 'Holst', 'Herten', 'Gall', 'Mansour', 'Eroschenkov', 'Darinsky', 'Padovan', 'Muirchertach', 'Pyschev', 'Badyashin', 'Kuipers', 'Golovanets', 'Barandych', 'Rekke', 'Rochegov', 'Dubman', 'Garofalo', 'Rzhavin', 'Handzhyan', 'Nakane', 'Findley', 'Scetintsev', 'Tovbich', 'Jaskulski', 'Pritchard', 'Hisametdinov', 'Kanavos', 'Hocking', 'Hynna', 'Borovsky', 'Morrison', 'Emyashev', 'Davison', 'Jeliba', 'Mclain', 'Vakulov', 'Awdiysky', 'Blanchett', 'Maryutin', 'Lewry', 'Bajenov', 'Merritt', 'Eveson', 'Troilin', 'Alshansky', 'Gashkin', 'Baba', 'Hanahu', 'Nineham', 'Novoselsky', 'Sarraf', 'Gladston', 'Tchamov', 'Hadad', 'Mogilnikov', 'Sabol', 'Zheryapin', 'Tihotsky', 'Gasich', 'Chukhontsev', 'Rementsov', 'Duval', 'Exon', 'Hadarin', 'Kampfner', 'Bachyanskas', 'Conrad', 'Speed', 'Guirguis', 'Balagurov', 'Agostini', 'Sessa', 'Eliasov', 'Yagudin', 'Kilb', 'Cerv', 'Andronov', 'Bazhan', 'Ponyatovsky', 'Agar', 'Jatsevich', 'Toien', 'Bazhinov', 'Dasios', 'Cracknell', 'Tai', 'Zhigultsov', 'Marquardt', 'Lacy', 'Haddad', 'Husk', 'Steele', 'Gudima', 'Bazzi', 'Agapiev', 'Fukunaka', 'Kanaan', 'Buckholtz', 'Awad', 'Tzander', 'Adlersflugel', 'Eidelnant', 'Agaryshev', 'Soma', 'Okamura', 'Rijnder', 'Fakhoury', 'Lawrie', 'Jankelevich', 'Alvarado', 'Yudovich', 'Vikhrov', 'Prigorovsky', 'Esenin', 'Shamarin', 'Jung', 'Ganim', 'Stoppelbein', 'Maksutov', 'Geldard', 'Pomphrey', 'Utropov', 'Zhuikov', 'Ganivet', 'Panzavecchia', 'Svotak', 'Yanochkin', 'Takemago', 'Averkiev', 'Kanaan', 'Ablyakimoff', 'Libman', 'Hamaguchi', 'Eihe', 'Kaminski', 'Grokhar', 'Juhtman', 'Murase', 'Haik', 'Maksheev', 'Chang', 'Tsutomu', 'Sault', 'Belgibaev', 'Pakhalchuk', 'Matsuoka', 'Mifsud', 'Gorchakov', 'Abrami', 'Sylvester', 'Hout', 'Cennetig', 'Akatsuka', 'Abasov', 'Kett', 'Murylev', 'Hagajeev', 'Arreola', 'Kratschmar', 'Yakimchik', 'Zhernov', 'Spannagel', 'Haibullin', 'Amari', 'Bosch', 'Ushiba', 'Schepotkin', 'Dorrington', 'Golovei', 'Bagiroff', 'Kalentiev', 'Dornan', 'Heidrich', 'Lyon', 'Abyzov', 'Atiyeh', 'Haik', 'Lawa', 'Gutteridge', 'Klam', 'Padalkin', 'Kikkert', 'Fedotenko', 'Haliulin', 'Ravenna', 'Ekimov', 'Guerra', 'Esikov', 'Balahonov', 'Vagizoff', 'Fricker', 'Nagano', 'Ganim', 'Deeb', 'Abuzoff', 'Marhanov', 'Biancardi', 'Rompaeij', 'Torrance', 'Piradov', 'Stacey', 'Hludeev', 'Crespo', 'San nicolas', 'Madden', 'Abadi', 'Tomashevsky', 'Tzagareli', 'Iskakov', 'Frangopoulos', 'Murata', 'Iskandarov', 'Pak', 'Harchev', 'Awad', 'Protopsaltis', 'Khouri', 'Tchaadaev', 'Ateev', 'Uss', 'Shammas', 'Kacharov', 'Avelan', 'Edgell', 'Negros', 'Ghanem', 'Tahan', 'Sayegh', 'Molodensky', 'Maloof', 'Mohnatsky', 'Santini', 'Rogan', 'Chanchikov', 'Hoult', 'Baidzhanoff', 'Herbert', 'Osaragi', 'Ormond', 'Donoghue', 'Khoury', 'Jue', 'Babaitsev', 'Durham', 'Vanitchev', 'Makukha', 'Lupachev', 'Norcross', 'Haikin', 'Salvaggi', 'Vasserman', 'Jakhot', 'Peck', 'Chkheidze', 'Zimakin', 'Sheludko', 'Gorchatov', 'Mujkaterov', 'Lidorenko', 'Yugin', 'Royall', 'De sauveterre', 'Onikov', 'Antonts', 'Tenshin', 'Shalhoub', 'Vagin', 'Cline', 'Otdelnov', 'Bilenkin', 'Vieth', 'Andrushkevich', 'Shamon', 'Chatterton', 'Templar', 'Mansour', 'Phi', 'Mcewan', 'Rutkevich', 'Kassis', 'Bazarevich', 'Krause', 'Magro', 'Jordan', 'Sadowski', 'Chikanov', 'Essa', 'Powell', 'Penn', 'Janalov', 'Youn', 'Molloy', 'Finbow', 'Burford', 'Pechkovsky', 'Tcheharin', 'Zhuravel', 'Deighton', 'Houston', 'Jitetsky', 'Gasymov', 'Awtomovitch', 'D arcy', 'Valshin', 'Tihankin', 'Nevezhin', 'Hot', 'Salvatici', 'Dozmorov', 'Uetake', 'Ohme', 'Faraldo', 'Nurok', 'Attia', 'Lositsky', 'Abragamson', 'Yanovitsky', 'Baklashov', 'Rozenbloom', 'Palmeiro', 'Saller', 'Zang', 'Koury', 'Williamson', 'Dubentsov', 'Yagovenko', 'Romero', 'Peters', 'Holomenko', 'Drassal', 'Rogashkov', 'Meadhra', 'Mifsud', 'Ardizzone', 'Munaev', 'Mustafa', 'Assaf', 'Makhovikov', 'Joe', 'Hoshino', 'Edgar', 'Pettigrew', 'Mitchell', 'Holopov', 'Tzaplin', 'Kalaberda', 'Matsura', 'Mikolajczak', 'Hazbulatov', 'Farmer', 'Cucinotta', 'Hideyoshi', 'Veselov', 'Lysihin', 'Haustovich', 'Ghanem', 'Bates', 'Deryabin', 'Kaleshin', 'Golovenok', 'Kaletin', 'Aswad', 'Furnell', 'Nyrko', 'Nader', 'Richards', 'De laurentis', 'Stone', 'Tzelischev', 'Freund', 'Chweh', 'Montanari', 'Vinci', 'Naifeh', 'Groom', 'Baderskoff', 'Maloof', 'Seif', 'Savinov', 'Towns', 'Saionji', 'Zhirnov', 'Bill', 'Uzlov', 'Waldvogel', 'Avtomovitch', 'Bakai', 'Holmansky', 'Gabrisova', 'Rahimov', 'Buchta', 'Vavilin', 'Vestman', 'Preston', 'Gatsukov', 'Jekov', 'Adkins', 'Vaisero', 'Luptsov', 'Imran', 'Detengof', 'Shahlamov', 'Jankov', 'Finkelson', 'Bolivar', 'Bekkarevich', 'Dowell', 'Isobe', 'Mccallum', 'Wilkins', 'Tsigelnik', 'Turmov', 'Wirt', 'Achteren', 'Vyshegorodtsev', 'Hazov', 'Maalouf', 'Mahorin', 'Bilyk', 'Azhaev', 'Nose', 'Davidenkov', 'Havrichev', 'Maksimchik', 'Bagramov', 'Adelson', 'Dehtyar', 'Herbert', 'Agol', 'Owings', 'Forrester', 'Kachalin', 'Rhoades', 'Altshtein', 'Pahmutov', 'Prigoda', 'Glezmer', 'Hakimi', 'Researcher', 'Childs', 'Duchamps', 'Artizov', 'Sabbag', 'Zavoisky', 'Nunn', 'Kyritsis', 'Ruhlov', 'Tucker', 'Shenfer', 'Esan', 'Lesauvage', 'Ottyasov', 'Nassar', 'Guzei', 'Mcshane', 'Levite', 'Portnov', 'Filipchuk', 'Tannous', 'Matsievich', 'Hadjiev', 'Aliberti', 'Jaitsky', 'Zhiboedov', 'Piazza', 'Harrison', 'Guznischev', 'Paivin', 'Havronin', 'Villa', 'Jerry', 'Yuhtanov', 'Shangareev', 'Andruschenko', 'Manos', 'Anderson', 'Jigalkin', 'Kriz', 'Mitsuya', 'Acciaio', 'Faust', 'Mujdabaev', 'Isaevich', 'Costantini', 'Sanna', 'Yanshole', 'Acciai', 'Mikhalenkov', 'Shakhgildyan', 'Christou', 'Ruts', 'Minyukov', 'Vankov', 'Horoshev', 'Awduloff', 'Veselenko', 'Haritonov', 'Ilyushkin', 'Pohmelkin', 'Dagher', 'Pavlicka', 'Iwasa', 'Blackwell', 'Fakhoury', 'Baggio', 'Winman', 'Hakimi', 'Kitamura', 'Lebedevich', 'Nesmachko', 'Belorusov', 'Kada', 'Jakimenko', 'Dvorak', 'Shirinkin', 'Arbore', 'Roebuck', 'Attia', 'Badyin', 'Haworth', 'Sun', 'Tsyurko', 'Hagan', 'Hong', 'Mcmanus', 'Mustafa', 'Bektabegov', 'Shaikin', 'Browne', 'Pogosyan', 'Tihin', 'Aboimoff', 'Columbo', 'Gross', 'Tansey', 'Chugreev', 'Chantler', 'Jemlihanov', 'Jollenbeck', 'Stamatelos', 'Sellers', 'Zhidenko', 'Maclean', 'Maroun', 'Renard', 'Leizerman', 'Tinker', 'Blazek', 'Kaur', 'Eidlin', 'Copeland', 'Zhabotinsky', 'Dovgolevsky', 'Gassiy', 'Aitken', 'Archer', 'Pokorny', 'Kalb', 'Movsarov', 'Gaber', 'Rust', 'Matsumoto', 'Issac', 'Hamer', 'Vaughan', 'Gaguliya', 'Mazaki', 'Gaber', 'Cairns', 'Teal', 'Pringle', 'Prevost', 'Mukovozov', 'Farnworth', 'Avrus', 'Loudon', 'Munkata', 'Masuzoe', 'Zino', 'Ponec', 'Sabbadin', 'Hidirov', 'Anton', 'Awtonomoff', 'Arlotti', 'Privalikhin', 'Kirkby', 'Araullo', 'Khoury', 'Anistratenko', 'Valaev', 'Vertelko', 'Chikhachev', 'Nurmuhamedov', 'Sarto', 'Yuzvishin', 'Tong', 'Howell', 'Kokan', 'Ghannam', 'Baldi', 'Kijek', 'Agrikoff', 'Abboud', 'Guinard', 'Mill', 'Daher', 'Pokhlebaev', 'Abrahams', 'Missiakos', 'Vyschipan', 'Zheltoukhov', 'Ingleby', 'Tchekoev', 'Mazawa', 'Agdarov', 'Makhagonov', 'Roper', 'Righi', 'Bilik', 'Mendoza', 'Kabulov', 'Tulumbasov', 'Tzekhanovich', 'Fischer', 'Tweddle', 'Deripaska', 'Likhvantsev', 'Tronin', 'Patsiorkovsky', 'Dreher', 'Rutkovsky', 'Koury', 'Mihailovsky', 'Pyrchenkov', 'Nastogunin', 'Deeb', 'Harkness', 'Giannakopoulos', 'Jemuhov', 'Morek', 'Yandutkin', 'Dobrovsky', 'Mueller', 'Fisher', 'Alkov', 'Salib', 'Awad', 'Bazzi', 'Penkov', 'Yakshibaev', 'Ajello', 'Vajenin', 'Nutt', 'Durmashkin', 'Donaldson', 'Brannon', 'Dubicki', 'Escarra', 'Nazari', 'Pentin', 'Moshnikov', 'Macfarland', 'Tcheklyanov', 'Nakao', 'Kanaan', 'Ealy', 'Tsuruga', 'Ino', 'Mochanov', 'Vela', 'Eyett', 'Sabbag', 'Raikov', 'Chong', 'Minov', 'Mnatsakanov', 'Trudu', 'Ungaretti', 'Naggia', 'Dunn', 'Acconci', 'Khu', 'Dunne', 'Gajos', 'Tsipushtanov', 'Livanov', 'Zhuravkov', 'Chertok', 'Alinari', 'Babkeev', 'Filippovich', 'Yujakov', 'Dakhaev', 'Mahortov', 'Vrazel', 'Tsalko', 'Andrusiw', 'Inoguchi', 'Pelevin', 'Jakovchuk', 'Tchanyshev', 'Janshole', 'Ceallachan', 'Cho', 'Danilyan', 'Chamov', 'Anikin', 'Shain', 'Agosti', 'Djemilev', 'Babkov', 'Kalinichev', 'Adey', 'Farrelly', 'Imedoev', 'Han', 'Dalby', 'Dublyansky', 'Lindo', 'Adam', 'Chaplin', 'Pickard', 'Tarumi', 'Danby', 'Benitez', 'Shiraev', 'Ranson', 'Malouf', 'Moghadam', 'Awerkin', 'Derkachev', 'Miniahhmetov', 'Rais', 'Juchenko', 'Navratil', 'Chambers', 'Fintiktikov', 'Egin', 'Lemaire', 'Khoury', 'Oneill', 'Likum', 'Cuevas', 'Cham', 'Vadovsky', 'Dickens', 'Poulton', 'Sen', 'Matsushita', 'Shammas', 'Handal', 'Hemmings', 'Basurto', 'Hamzin', 'Jeglov', 'Bishara', 'Jamieson', 'Banos', 'Luhovitsky', 'Nizhegorodtsev', 'Voltolini', 'Ghanem', 'Her', 'Aden', 'Divilkovsky', 'Hirose', 'Issa', 'Maloof', 'Chadin', 'Bramley', 'Zhaivoronok', 'Vedenyapin', 'Agapotchkin', 'Abrosimoff', 'Multykh', 'Losa', 'Babakov', 'Tihomirov', 'Yablontzev', 'Juzhakov', 'Asfour', \"O'Hare\", 'Tsederbaum', 'Vyalba', 'Helm', 'Nason', 'Mikhalchenko', 'Hirst', 'Tulaev', 'Adimari', 'Dalton', 'Mariani', 'Palin', 'Snelker', 'Jacob', 'Soseki', 'Youssouf', 'Zheleznov', 'Emmons', 'Timpe', 'Everett', 'Yudanov', 'Vanyushin', 'Shahovskoi', 'Bazhenin', 'Hyun', 'Faulkner', 'Shamoun', \"O'Grady\", 'Sapon', 'Eichel', 'Mukke', 'Tsarikaev', 'Maksimov', 'Donohoe', 'Accardi', 'Erepov', 'Rapp', 'Maciomhair', 'Yandiev', 'Vilyams', 'Hill', 'Marshall', 'Chuvilo', 'Mladentsev', 'Dobrosotsky', 'Atroshenko', 'Sinagra', 'Abboud', 'Kaminaga', 'Vallah', 'Mulatov', 'Oshin', 'Turchak', 'Cheplakov', 'Lowis', 'Hanania', 'Padkin', 'Santillian', 'Easen', 'Bakotin', 'Lezhenko', 'Main', 'Tulov', 'Granovsky', 'Deeb', 'Marszaek', 'Glazyrin', 'Turchin', 'Pavlusha', 'Reagan', 'Tsigal', 'Pirogov', 'Whitfield', 'Guzik', 'Golovanchikov', 'Grant', 'Mclaughlin', 'Mui', 'Bohmer', 'Jahnyuk', 'Kouri', 'Arnett', 'Katsev', 'Mokritsky', 'Tsval', 'Mochanovsky', 'Bazulev', 'Lucas', 'Kocian', 'Sarkis', 'Babenkoff', 'Mordin', 'Vakitchev', 'Ivor', 'Vlahos', 'Baewski', 'Batchinsky', 'Cotton', 'Tomashenko', 'Jelaev', 'Djuromsky', 'Tokaev', 'Bakhlaev', 'Makiguchi', 'Dunmore', 'Kanaan', 'Seidel', 'Koury', 'Niadh', 'Hertz', 'Dagher', 'Hominsky', 'Bourne', 'Bazhenov', 'Tomimoto', 'Ajaev', 'Tomashuk', 'Nezhdanov', 'Tovstoles', 'Shakhtmeister', 'Omelkov', 'Likholobov', 'Valko', 'Deniaud', 'Gerges', 'Calabrese', 'Brauer', 'Roles', 'Sayegh', 'Vaisner', 'Shahrai', 'Agranowitch', 'Dawson', 'Abdrakhimoff', 'Tchehanov', 'Janowski', 'Salib', 'Lebedenko', 'Sapojinsky', 'Montero', 'Langridge', 'Amari', 'Whitmire', 'Zasodimsky', 'Leslie', 'Bahorin', 'Simen', 'Macpherson', 'Hudyshkin', 'Makhmudov', 'Essa', 'Deacon', 'Yafrakov', 'Shamoun', 'Shirmanov', 'Yunokawa', 'Lysko', 'Astrahankin', 'Rorris', 'Neville', 'Jura', 'Crump', 'Froyanov', 'Vancoller', 'Vygran', 'Shamankov', 'Mustafa', 'Zhupanenko', 'Saitov', 'Charlton', 'Janzhul', 'Hajjar', 'Downs', 'Schultz', 'Matzak', 'Burke', 'Isagaliev', 'Saksonov', 'Eddy', 'Alcheka', 'Vaipan', 'Vitrik', 'Velidov', 'Aylott', 'Foss', 'Agashin', 'Nahas', 'Naomhan', 'Truhanov', 'Vantchugov', 'Sachs', 'Tuma', 'Evdokimov', 'Zingman', 'Cope', 'Tikhvinsky', 'Gomatos', 'Keogh', 'Raikhelson', 'Roma', 'Tuvin', 'Pavlunovsky', 'Deushi', 'Zhivokini', 'Tobulinsky', 'Chartorizhsky', 'Horuzhy', 'Kerner', 'Elms', 'Fakhoury', 'Tuinov', 'Ugaki', 'Makino', 'Shiganori', 'Yagich', 'Filippi', 'Sula', 'Aggio', 'Baziner', 'Shenyavsky', 'Zhadin', 'Adushkin', 'Jigulin', 'Baisak', 'Antyushin', 'Shentel', 'Lustgarten', 'Japaskurt', 'Dovydenko', 'Zhelezny', 'Ilyahin', 'Avlukov', 'Balabai', 'Jmakov', 'Demakis', 'Mccullough', 'Nusberg', 'Atter', 'Sykes', 'Fiscella', 'Yujilin', 'Prigorodov', 'Bazarbaev', 'Govoruhin', 'Piper', 'Yatzunov', 'Vazhnichy', 'Mikhelyus', 'Makhlai', 'Siskind', 'Darkov', 'Tzelikovsky', 'Jamburg', 'Ott', 'Yanzhul', 'Rekshinsky', 'Minniahmetov', 'Gulyashko', 'Timberlake', 'Silva', 'Engman', 'Omori', 'Hiratasuka', 'Connor', 'Fedosov', 'Hainadsky', 'Yoshioka', 'Snowden', 'Boulos', 'Beh', 'Tatnell', 'Huziyatov', 'Muzykantsky', 'Paharkov', 'Oatridge', 'Abreu', 'Juk', 'Tamaro', 'Marti', 'Said', 'Sugden', 'Froman', 'Shirvindt', 'Nakhmanovich', 'Bakikhanov', 'Irie', 'Tremble', 'Matheson', 'Chemlik', 'Leaver', 'Belobrov', 'Abugoff', 'Mikhalychev', 'Kan', 'Dogmarov', 'Mokhov', 'Lim', 'Russov', 'Vilchur', 'Swann', 'Rowan', 'Tumenov', 'Castillo', 'Jeimo', 'Lomas', 'Anstee', 'Obyedkin', 'Dovgaev', 'Nightingale', 'Ventura', 'Mustafa', 'Cihak', 'Nieddu', 'Hyde', 'Baitov', 'Ricketts', 'Abulmambetoff', 'Robotham', 'Yakupov', 'Tuganov', 'Morcos', 'Eto', 'Neary', 'Lianozov', 'Nazari', 'Shakhkalamyan', 'Likhodei', 'Yaburov', 'Glavchev', 'Plotnitsky', 'Isangulov', 'Safko', 'Franco', 'Awtuhoff', 'Bahtiaroff', 'Welch', 'Liven', 'Jafaev', 'Ghanem', 'Shakhov', 'Mihalitsin', 'Sturgess', 'Velikorussov', 'Swango', 'Newstead', 'Groel', 'Yamaguchiya', 'Chalov', 'Mackay', 'Shiba', 'Saliba', 'Tornincasa', 'Forstner', 'Shammas', 'Mundy', 'Bakhmatoff', 'Slapnickova', 'Arian', 'Jaluvka', 'Koumans', 'Mould', 'Antropov', 'Eyre', 'Egorkin', 'Aguzarov', 'Yaminsky', 'Atarskih', 'Kerridge', 'Yakubik', 'Hanabusa', 'Rotermel', 'Forshteter', 'Wornhor', 'Moreno', 'Samaha', 'Wickens', 'Babenkov', 'Basara', 'Yakush', 'Gorbachevsky', 'Vyglovsky', 'Yufryakov', 'Kwan', 'Divavin', 'Notman', 'Gorchakovsky', 'Zhigailo', 'Geshtovt', 'Kattan', 'Awanesyan', 'Zhigailov', 'Vykruta', 'Habarin', 'Thurbon', 'Stephenson', 'Govendyaev', 'Ville', 'Anker', 'Zhelaev', 'Tzah', 'Pazdnikov', 'Geaney', 'Lychagin', 'Kudara', 'Loskot', 'Joynson', 'Nassar', 'Ko', 'Mcculloch', 'Amari', 'Oborin', 'Ruzicka', 'Tani', 'MonkoAustria', 'Muizhel', 'Awdieff', 'Fargher', 'Biryulev', 'Basara', 'Ono', 'Rivera', 'Cen', 'Isaikin', 'Eatherington', 'Redman', 'Agapochkin', 'Vann', 'Bajenin', 'Troeglazov', 'Grokhotov', 'Nikolaou', 'Chuhlomsky', 'Baglaenko', 'Katsura', 'Wruck', 'Haenraats', 'Yamawaki', 'Aida', 'Severins', 'Neslyuzov', 'Jabotinsky', 'Maloney', 'Naser', 'Darchiev', 'Dozorny', \"D'angelo\", 'Safar', 'Basara', 'Glockl', 'Turmanov', 'Tillens', 'Bahmatoff', 'Noh', 'Gallo', 'Lokhtin', 'Zhevolozhnov', 'Lee', 'Xing', 'Emmett', 'Nishimura', 'Yim', 'Harebov', 'Victor', 'Youj', 'Pelin', 'Faure', 'Rhodes', 'Dubik', 'Rahal', 'Danichenko', 'Uzakov', 'Zhvachkin', 'Kitao', 'Rier', 'Horne', 'Krantz', 'Calvert', 'Zhivkovich', 'Papoutsis', 'Jakimchuk', 'Peigne', 'Totah', 'Hankeev', 'Boutros', 'Hasminsky', 'Ganim', 'Rey', 'Uzhentsev', 'Tollis', 'Janda', 'Bekyashev', 'Sarti', 'Antonakos', 'Zis', 'Logan', 'Higuchi', 'Jiu', 'Dziedzic', 'Matzigura', 'Grushetsky', 'Vanin', 'Katsukov', 'Isbitt', 'Verber', 'Khouri', 'Haziahmetov', \"O'Neal\", 'Ghanem', 'Thorpe', 'Churyukin', 'Domhnall', 'Lysakov', 'Zasedatelev', 'Kassab', 'Adelkhanov', 'Toman', 'Eddison', 'Simonis', 'Uhanov', 'Judasin', 'Saliba', 'Rezac', 'Awalyan', 'Guirguis', 'Granger', 'Tzaizer', 'Osipenko', 'Yakimov', 'Bawidov', 'Bibler', 'Gluhov', 'Abzyaparov', 'Bassanelli', 'Ekaterininsky', 'Mujitskikh', 'Sugita', 'Eda', 'Tzehmistrenko', 'Cingolani', 'Nezhinsky', 'Adodin', 'Tunnikov', 'Luu', 'Douglas', 'Zhevaikin', 'Abdrahmanov', 'Mustafa', 'Maroun', 'Meindl', 'Fothergill', 'Filipov', 'Agayan', 'Shahovsky', 'Agrachev', 'Nezhentsev', 'Ellans', 'Admakin', 'Vilgelminin', 'Shendrik', 'Rekitar', 'Annan', 'Veligorsky', 'Yushmanov', 'Swales', 'Samaha', 'Tchehov', 'Huber', 'Todd', 'Amadei', 'Avanesyan', 'Maksin', 'Iskoz', 'Valetto', 'Basso', 'Turkov', 'Assaf', 'Loftus', 'Grakovich', 'Balanowski', 'Talberg', 'Laar', 'Jervis', 'Grodetsky', 'Rolfe', 'Vizhonsky', 'Agaltsoff', 'Muzylev', 'Imukov', 'Otlivschikov', 'Gim', 'Kunkle', 'Fashingbauer', 'Gudojnik', 'Attia', 'Darchiashvili', 'Sak', 'Isasev', 'Simodines', 'Readle', 'Frost', 'Neville', 'Mein', 'Binevich', 'Badyagin', 'Piskach', 'Poholkov', 'Thornes', 'Bear', 'Baz', 'Ukhin', 'Chursin', 'Jevanov', 'Ponikarovsky', 'Johansen', 'Diev', 'Tcharuhin', 'Knopp', 'Beutel', 'Badaev', 'Turbanov', 'Timakin', 'Toyama', 'Hrula', 'Humphries', 'Drivakis', 'Jakhlakov', 'Bui', 'Burden', 'Jermy', 'Suzuki', 'Peresada', 'Quraishi', 'Saliba', 'Cloutier', 'Jarnov', 'Kurkawa', 'Nahas', 'Jimirov', 'Mindel', 'Mak', 'Salisbury', 'Birger', 'Navara', 'Zhidelev', 'Shriver', 'Oulton', 'Shahnazaryants', 'Shahlin', 'Senkovsky', 'Totah', 'Belodubrovsky', 'Esmonsky', 'Nave', 'Milligan', 'Baram', 'Esmansky', 'Aiolfi', 'Ilett', 'Velikopolsky', 'Timirev', 'Dzhumaniyazov', 'Riha', 'Haddad', 'Shadid', 'Promyslov', 'Ganim', 'Alperovich', 'Lutkovsky', 'Sarkis', 'Close', 'Huff', 'Vitorgan', 'Dagher', 'Raitses', 'Bover', 'Bekrenev', 'Ubina', 'Otyutsky', 'Minyazhetdinov', 'Perrins', 'Gulevich', 'Lichkus', 'Roth', \"O'Hannagain\", 'Adamoff', 'Yanov', 'Bajaev', 'Kijmuta', 'Ponagushin', 'Najjar', 'Jez', 'Yankilovich', 'Jukhvidov', 'Wahner', 'Kinugasa', 'Tsyrba', 'Saitoh', 'Maynard', 'Zhizhin', 'Goloushin', 'Ogura', 'Zhimailov', 'Tron', 'Pavlinov', 'Durylin', 'Willson', 'Pokhodun', 'Takizawa', 'Baglanov', 'Pedrotti', 'Lecce', 'Abovyan', 'Vyakkerev', 'Fraser', 'Simon', 'Christie', 'Viron', 'Fountain', 'Lihtenshtedt', 'Zaslavsky', 'Matsuo', 'Janaslov', 'Emmery', 'Jakuba', 'Mas', 'Usenko', 'Marchand', 'Shima', 'Molev', 'Anedchenko', 'Egiazaryan', 'Savage', 'Shalaev', 'Neverkovets', 'Bakiroff', 'Vihansky', 'Holkin', 'Momotov', 'Abankin', 'Shalimo', 'Abgaryan', 'Tillens', 'Kachalov', 'Isa', 'Langbroek', 'Gan', 'Mahlinsky', 'Frith', 'Kartashov', 'Filipkov', 'Negrini', 'Toshishai', 'Oom', 'Joyce', 'Dervish', 'Pokhmelkin', 'Tzagunov', 'Vyshkvarko', 'Abboud', 'Adoratski', 'Butter', 'Takahama', 'Naoimhin', 'Maryanov', 'Koury', 'Zogby', 'Pigott', 'Vozab', 'Kinoshita', 'Shaikhutdinov', 'Janover', 'Kablahov', 'Haenraets', 'Eilerts', 'Karlovsky', 'Abdulkhabirov', 'Nezamai', 'Tugolukov', 'Yakubchik', 'Ebers', 'Shalhoub', 'Paradzhanov', 'Nosikov', 'Bilinsky', 'Dubnyakov', 'Chkhenkeli', 'Karras', 'Awtamonoff', 'Quraishi', 'Halepsky', 'Eihengolts', 'Dam', 'Metz', 'Gorfunkel', 'Harris', 'Pyankov', 'Holgate', 'Dressler', 'Saliba', 'Benfield', 'Fux', 'Hilchevsky', 'Bata', 'Maalouf', 'Sanjo', 'Pounder', 'Vaitsehovsky', 'Yanitsky', 'Keeley', 'Babaskin', 'Rotaru', 'Isaichenkov', 'Ghanem', 'Haprov', 'Lamond', 'Hundanov', 'Dubnov', 'Zhovnerik', 'Robles', 'Chung', 'Marshev', 'Rossini', 'Maestri', 'Eiler', 'Najjar', 'Kidd', 'Shahno', 'Emelianenko', 'Sappe', 'Ramires', 'Darenkov', 'Oakley', 'Vozdvijensky', 'Kalakutsky', 'Samaha', 'Petit', 'Clements', 'Werner', 'Kan', 'Brahms', 'Jukalov', 'Grammatikov', 'Shiotani', 'Zhunusov', 'Ballantyne', 'Schmid', 'Kabachev', 'Babakhanoff', 'Moghadam', 'Foreman', 'Yakovichenko', 'Jansen', 'Baikovsky', 'Render', 'Bauze', 'Podsizertsev', 'Avlov', 'Etxebarria', 'Farrier', 'Bahar', 'Nurton', 'Eckersley', 'Heritage', 'Sevriens', 'Takishita', 'Kenmotsu', 'Lavigne', 'Abbaticchio', 'Golota', 'Tadeshi', 'Kouri', 'Bahtinov', 'Kabakchi', 'Halo', 'Bakikhanoff', 'Naifeh', 'Deeb', 'Sankovsky', 'Shiomiya', 'Antipas', 'Grositsky', 'Boer', 'Earle', 'Smith', 'Uhovsky', 'Overett', 'Ochoa', 'Kensington', 'Edmond', 'Uzhva', 'Tanuma', 'Musahanyants', 'Vilbushevich', 'Machin', 'Wagstaff', 'Katsukawa', 'Rogerson', 'Johnson', 'Jevahov', 'Ryjev', 'Levin', 'Baboshin', 'Hadad', 'Haddad', 'Adjaloff', 'Moghadam', 'Masuko', 'Adamyants', 'Mccall', 'Uemlyanin', 'Kistler', 'Jia', 'Macias', 'Hodgkinson', 'Shadid', 'Shalimov', 'Abalakov', 'Boulos', 'Petsyuha', 'Davey', 'Kira', 'Hawes', 'Metrofanis', 'Hiro', 'Kikugawa', 'Denend', 'Antyshev', 'Murasaki', 'Govoretsky', 'Velikorodny', 'Yushkov', 'Belogolovkin', 'Antar', 'Sedmikova', 'Vandroogenbroeck', 'Gaubrich', 'Cremonesi', 'Kokkali', 'Dzhaldzhireev', 'Kartushin', 'Cabral', 'Velichkovsky', 'Glazaty', 'Pochinok', 'Ozimuk', 'Arian', 'Halapkhaev', 'Hataevich', 'Gluz', 'Yakutin', 'Dolton', 'Elgin', 'Beklemishev', 'Zawisza', 'Zavorin', 'Nicholson', 'Babloev', 'Mah', 'Wojda', 'Dautov', 'Bagramoff', 'Jorda', 'Miao', 'Djatdoev', 'Forrest', 'Chaldymov', 'Espina', 'Utochkin', 'Shalhoub', 'Schetchikov', 'Crane', 'Zenkin', 'Asom', 'Fattore', 'Chertorogov', 'Dagher', 'Church', 'Dzhigit', 'Haraev', 'Naser', 'Tsvelyuh', 'Raikhert', 'Takemitsu', 'Uhin', 'Quaranta', 'Hotetovsky', 'Tukmanov', 'Garb', 'Antonino', 'Zhelyabuzhsky', 'Vihrev', 'Smit', 'Baiguzoff', 'Veliky', 'Lokhanov', 'Hisamatsu', 'Stramba', 'Sitko', 'Chapman', 'Zasyadko', 'Dubrowsky', 'Vitruk', 'Eguchi', 'Dav', 'Isherwod', 'Zimny', 'Gerges', 'Jankov', 'Sammiya', 'Abandonato', 'Beiman', 'Kyubei', 'Abe', 'Grimes', 'Vilensky', 'Jebryakov', 'Muromtsev', 'Pochkaev', 'Laws', 'Docker', 'Dacey', 'Gasnikov', 'Groskov', 'Kaberov', 'Hamidulin', 'Bostock', 'Chizhov', 'Rusnak', 'Vennen', 'Fadeechev', 'Zhigalkin', 'Zuraw', 'Lishtovny', 'Moh', 'Tchehluev', 'Kara', 'Vlasak', 'Wootton', 'Wiater', 'Awakshin', 'Spellmeyer', 'Nevejin', 'Elbutt', 'Reader', 'Alyrchikov', 'Piskarenkov', 'Glazman', 'Shahbazyan', 'Jigmytov', 'Avdeichikov', 'Tropin', 'Avraamov', 'Garrard', 'Chuhontsev', 'Alchubaev', 'Michael', 'Prescott', 'Chuvilev', 'Jeronkin', 'Musatov', 'Keilty', 'Biljo', 'Mifsud', 'Quraishi', 'Randle', 'Kablov', 'Clough', 'Than', 'Ashia', 'Mokeev', \"Tzel'Ko\", 'Geft', 'Zhevlakov', 'Passmore', 'Tzagolov', 'Jijilev', 'Jun', 'Sarraf', 'Tsvetov', 'Hough', 'Zeleny', 'Tannous', 'Farina', 'Zinatullin', 'Baik', 'Abdrazakov', 'Rossi', 'Todriya', 'Ring', 'Naser', 'Egan', 'Healy', 'Kattan', 'Avalishvili', 'Tsarenko', 'Naser', 'Pavelyev', 'Tupihin', 'Clark', 'Babaevsky', 'Boutros', 'Yachnik', 'Montagna', 'Lennon', 'Marriott', 'Polivanov', 'Herriot', 'Laycock', 'Temko', 'Jelen', 'Montague', 'Rotmistrov', 'Ruzhitsky', 'Awinowitski', 'Vargas', 'Lazhentsev', 'Martoyas', 'Tellis', 'Colling', 'Herovets', 'Tosi', 'Rahal', 'Hakhva', 'Tsakul', 'Yamlikhanov', 'Vyucheisky', 'Kikkawa', 'Tikhonravov', 'Wang', 'Jedynak', 'Val', 'Horoshih', 'Nokes', 'Utkin', 'Talikov', 'Naifeh', 'Kawachi', 'Tsujimura', 'Newbold', 'Nahodkin', 'Bagmewski', 'Grabski', 'Eadie', 'Eizenstein', 'Connell', 'Mcnaught', 'Schubert', 'Mischuk', 'Nijegorodov', 'Bakhtin', 'Chursinov', 'Atherton', 'Lejikov', 'Bologna', 'Chehlakovsky', 'Mctaggart', 'Conchobhar', 'Yakunkin', 'Jernokleev', 'Maksimovich', 'Seelen', 'Okenfuss', 'Snell', 'Chandler', 'Ujva', 'Greaves', 'Antonowitz', 'Moshonkin', 'Mlachnev', 'Tsagunov', 'Ingersleben', 'Bagimov', 'Wateridge', 'Adonts', 'Tayler', 'Sadiq', 'Bakulin', 'Yin', 'Qureshi', 'Tchajengin', 'Zhitny', 'Taltangov', 'Dzhemal', 'Homuha', 'Nicolas', 'Dargevich', 'Said', 'Mendel', 'Dawkins', 'Mifsud', 'Najjar', 'Tovar', 'Scott', 'Derkachenko', 'Ramsay', 'Tasker', 'Bando', 'Atanasyan', 'Xydis', 'Balakhonsky', 'Pokorny', 'Salib', 'Portnyagin', 'Rjanitsin', 'Hickey', 'Belovol', 'Yao', 'Srour', 'Rahmilovich', 'Abadi', 'Illingworth', 'Ingles', 'Neilson', 'Hierro', 'Sayegh', 'Arian', 'Fedchenkov', 'Adelfinski', 'Halitov', 'Broadhurst', 'Hanania', 'Hanusch', 'Aduloff', 'Judkov', 'Mathers', 'Asker', 'Bello', 'Kouri', 'Goodman', 'Piovene', 'Havlice', 'Mitsubishi', 'Greer', 'Carey', 'Browning', 'Ganza', 'Pratt', 'Mckenna', 'Horujy', 'Shalhoub', 'Omelko', 'Ii', 'Shadid', 'Catalano', 'Pae', 'Katzenellenbogen', 'Dao', 'Kalachikhin', 'Pace', 'Zhizhnov', 'Vasyankin', 'Adalardi', 'Snaijer', 'Eberman', 'Duben', 'Atvilov', 'Filipovsky', 'Lennard', 'Awenarius', 'Paredes', 'Ohba', 'Szewc', 'Aswad', 'Anisimkin', 'Shima', 'Begum', 'Janoch', 'Ablesimoff', 'Bahlulzade', 'Yablochkov', 'Zambrano', 'Gagemeister', 'Echeverria', 'Duarte', 'Yakubovich', 'Pocheshev', 'Nakhutin', 'Kolman', \"O'Donoghue\", 'Katsis', 'Nervetti', 'Mukomel', 'Hokusai', 'Mcginty', 'Novak', 'Viskovatov', 'Rushby', 'Portyansky', 'Kalinchuk', 'Mihelson', 'Tadhg', 'Remez', 'Dovgusha', 'Muir', 'Zhurihin', 'Downton', 'Murphy', 'Chabrov', 'Glynatsis', 'Bishara', 'Danchuk', 'Shirnin', 'Ormsby', 'Naser', 'Marmo', 'Vylegjanin', 'Zhdanovsky', 'Yakobi', 'Shamin', 'Dubko', 'Leigh', 'Tcharkin', 'Agranoff', 'Agalaradze', 'Lew', 'Kouma', 'Koban', 'Rinaldi', 'Ziemniak', 'Daniltsev', 'Protz', 'Vaniev', 'Luppol', 'Charkin', 'Akimoto', 'Edon', 'Ming', 'Shakhbazov', 'Seif', 'Finn', 'Saikov', 'Bakoni', 'Valednitsky', 'Tsukawaki', 'Sapojnikov', 'Numerov', 'Zhuchenko', 'Durov', 'Sarkis', 'Vanechkin', 'Haddad', 'Penners', 'Vyazovchenko', 'Shakhovsky', 'Bitar', 'Jirinovsky', 'Yamana', 'Holmsky', 'Cheharin', 'Rompuy', 'Morava', 'Mokronosov', 'Thi', 'Salomon', 'Granger', 'Abdrazakoff', 'Kazimor', 'Mokry', 'Dobroslavin', 'Guio', 'Schenck', 'Zhan', 'Halabi', 'Ivchenko', 'Tungusov', 'Jablonowsky', 'Ricchetti', 'Mojarenko', 'Matznev', 'Graifer', 'Viner', 'Nair', 'Kinnaird', 'Ludlow', 'Hersonsky', 'Zhimerin', 'Badanov', 'Wellington', 'Adamyuk', 'Antonopoulos', 'Muhlfeld', 'Gilmore', 'Tzeiger', 'Ruggeri', 'Tomkins', 'Mokrousov', 'Bakalinsky', 'Driffield', 'Messer', 'Dzhindo', 'Forsh', 'Sepulveda', 'Patzevich', 'Daunene', 'Pavlu', 'Sai', 'Tomes', 'Tuneev', 'Bocker', 'Freeth', 'Alexander', 'Habibulaev', 'Como', 'Marshansky', 'Otroshenko', 'Harkharov', 'Nickolls', 'Kilshaw', 'Ablaev', 'Kalikyan', 'Alway', 'Quigley', 'Yamhata', 'Dayman', 'Sanna', 'Mischenko', 'Anami', 'Ralston', 'Craven', 'Juravkov', 'Markytan', 'Jaeger', 'Peace', 'Petrov', 'Daue', 'Hurtsilava', 'Galdin', 'Rebka', 'Yankelevich', 'Taniguchi', 'Halkechev', 'Moshin', 'Avdievsky', 'Bagrov', 'Kurusu', 'Jamoida', 'Rao', 'Bradshaw', 'Vyrodov', 'Odriscoll', 'Essert', 'Harev', 'Neyland', 'Abadi', 'Salib', 'Reyes', 'Ebisawa', 'Perrot', 'Zangari', 'Fortin', 'Blundell', 'Moghadam', 'Likhobaba', 'Chamushev', 'Abello', 'Yafarov', 'Jarsky', 'Rents', 'Imanov', 'Evdakov', 'Osladil', 'Kitano', 'Kilner', 'Mahoney', 'Arrigucci', 'Larenz', 'Verney', 'Zaruba', 'Potseiko', 'Ustyuzhanin', 'Jahot', 'Grosvenor', 'Shakhbazyan', 'Comino', 'Bondesan', 'Azhogin', 'Noyes', 'Essa', 'Badylkin', 'Obolsky', 'Lymar', 'Jachnik', 'Halatnikov', 'Espinoza', 'Brunet', 'Grigoriev', 'Berezyuk', 'Seif', 'Jukhtman', 'Desyatnikov', 'Vlach', 'Minnihanov', 'Beyersdorf', 'Dovnar', 'Khoury', 'Hinrichs', 'Tujikov', 'Kagabu', 'Pahlke', 'Kalakin', 'BimBad', 'Bekshtrem', 'Asfour', 'Emmott', 'Djikovich', 'Averintsev', 'Keenan', 'Furnish', 'Marino', 'Asturias', 'Nurjanov', 'Otiev', 'Gallacher', 'Mustafa', 'Shendel', 'Vindman', 'Amari', 'Zinovin', 'Kassis', 'Wyer', 'Vanchurov', 'Paige', 'Kablukov', 'Devenish', 'Muzychka', 'Chekletsov', 'Elphick', 'Erusalimchik', 'Oliver', \"O'Neill\", 'Gushiken', 'Babadzhanov', 'Chadov', 'Perez', 'Pavesi', 'Vaks', 'Baidakoff', 'Lecuyer', 'Bahtchivandji', 'Close', 'Dowling', 'Enenko', 'Vasquez', 'Enyagin', 'Makul', 'Bello', 'Rothbauer', 'Denis', 'Tierney', 'Bahmutoff', 'Rademacher', 'Meier', 'Eilers', 'Katsumata', 'Zhukovets', 'Todorovsky', 'Tagawa', 'Vazhorov', 'Avseenko', 'Rotov', 'Mihilev', 'Talipov', 'Davidson', 'Munehin', 'Simecek', 'Navrkal', 'Worthington', 'Thornley', 'Mochalygin', 'Kalishewsky', 'Didkovsky', 'Dahov', 'Yaitsky', 'Gwock', 'Minko', 'Emery', 'Jelehovsky', 'Lychakov', 'Ogrady', 'Burgstaller', 'Jakimov', 'Beauchene', 'Vyltsan', 'Bagdasaroff', 'Sorrentino', 'Ota', 'Julidov', 'Last', 'Schenk', 'Omashev', 'Parratt', 'Baird', 'Dermody', 'Ruhlyada', 'Peltsman', 'Gulevsky', 'Abdurakhmanov', 'Malley', 'Rahal', 'Nyrkov', 'Awerochkin', 'Fonseca', 'Beyer', 'Stack', 'Prigozhin', 'Bata', 'Zhuravov', 'Multah', 'Toma', 'Hardy', 'Janimov', 'Amari', 'Kaufman', 'Hargreaves', 'Onuchin', 'Dzhisev', 'Savona', 'Kinrade', 'Andryuk', 'Lovatt', 'Bahurin', 'Matsuya', 'Charbonneau', 'Kouman', 'Awramenko', 'Himich', 'Hantuev', 'Holod', 'Gulaev', 'Jahin', 'Chuvstvin', 'Beloshapkov', 'Hasabov', 'Romans', 'Hotta', 'Nahas', 'Podshibihin', 'Yanson', 'Velyashev', 'Shamon', 'Gomes', 'Dounias', 'Sherman', 'Limanov', 'Falsh', 'Nahas', 'Blades', 'Uemura', 'Vliert', 'Rotai', 'Moldovanov', 'Leikin', 'Pispinis', 'Seif', 'Plichko', 'Baimiev', 'Porokhov', 'Guzov', 'Juhman', 'Wall', 'Leeuwenhoeck', 'Munyabin', 'Noskovsky', 'Tulubensky', 'Townsend', 'Baidukov', 'Eirih', 'Maradona', 'Anosov', 'Hua', 'Dzhikaev', 'Govorin', 'Couch', 'Walther', 'Grulich', 'Hamill', 'Zhivopistsev', 'Piercey', 'Kouri', 'Vakulich', 'Yatskovsky', 'Cooper', 'Waxweiler', 'Dovladbegyan', 'Jivago', 'Summers', 'Jakubovich', 'Demeshko', 'Allaway', 'Fenwick', 'Dufort', 'Gilchrist', 'Bahar', 'Assen', 'Mubarakshin', 'Gludin', 'Kopecky', 'Alber', 'Bakh', 'Chekoev', 'Kalabuhov', 'Amari', 'Mihalychev', 'Marysyuk', 'Linsby', 'Yansons', 'Marov', 'Komura', 'Shamoun', 'Jogin', 'Shaldybin', 'Talian', 'Harry', 'Matos', 'Zhovnir', 'Gorbulin', 'Shengeliya', 'Winward', 'Grushka', 'Barton', 'Gayulsky', 'Walshe', 'Sekozawa', 'Soriano', 'Levitis', 'Hait', 'Valikov', 'Rukhimovich', 'Khouri', 'Lefebvre', 'Clowes', 'Liders', 'Tivoli', 'Lykov', 'Thackeray', 'Jaguzhinsky', 'Tugushev', 'Vakilov', 'Zhiznyakov', 'Jidkih', 'Abudihin', 'Paramoshin', 'Hityaev', 'Hakimi', 'Harakhinov', 'Bazzi', 'Zinnurov', 'Molotkov', 'Vilin', 'Herback', 'Homenko', 'Livson', \"O'Kane\", 'Zabrovsky', 'Maloof', 'Durant', 'Agasarov', 'Lenihan', 'Michalovic', 'Shamoon', 'Maloof', 'Aritza', 'Jagovenko', 'Ruhlin', 'Ichikawa', 'Dawes', 'Wears', 'Ligorner', 'Yakubov', 'Tyne', 'Jeffrey', 'Yanover', 'Khoury', 'Kwei', 'Zingerman', 'Horn', 'Saliba', 'Attia', 'Nugaev', 'Geisler', 'Gasparyan', 'Bagnoli', 'Cham', 'Bavtrukevich', 'Christodoulou', 'Touma', 'Lubutov', 'Sayuki', 'Gaber', 'Essa', 'Bazhukov', 'Meisner', 'Kalb', 'Jabykin', 'Fukuoka', 'Humphreys', 'Eifman', 'Bezumov', 'Bitar', 'Kozumplikova', 'Rakhov', 'Baikov', 'Grushihin', 'Holomeev', 'Grange', 'Elachich', 'Astrahantsev', 'Reygan', 'Baba', 'Yuschak', 'Rigley', 'Lumsden', 'Adzhaloff', 'Ridge', 'Ageev', 'Agafonov', 'Cherchesov', 'Lowndes', 'Aswad', 'Kirby', 'Keward', 'Peebles', 'Tassioglou', 'Donnachie', 'Sander', 'Rossi', 'Shi', 'Jimulev', 'Mcmillan', 'Hanania', 'Flater', 'Vinberg', 'Otletov', 'Tchanturia', 'Asghar', 'Dobronravov', 'Imaizumi', 'Chikviladze', 'Deeb', 'Shadid', 'Judge', 'Nazarko', 'Laurenz', 'Harries', 'Datdeev', 'Balayan', 'Rohmanov', 'Detkov', 'Janovitsky', 'Vikhlyaev', 'Core', 'Bausov', 'Kabaidze', 'Hadad', 'Zharovtsev', 'Kafka', 'Jiboedov', 'Gandham', 'Tunkin', 'Lyjin', 'Yudenich', 'Kennard', 'Novoselitsky', 'Brodbeck', 'Rafferty', 'Shalgin', 'Abrazhevich', 'Whitley', 'Willis', 'Newell', 'Granatkin', 'Hoffmann', 'Babynin', 'Kokoris', 'Damhan', 'Zoucha', 'Hogan', 'Talypin', 'Tobolkin', 'Tulyakov', 'Halatov', 'Pirozhkov', 'Movsesov', 'Fukuyama', 'Humaryan', 'Yuhara', \"V'Yun\", 'Kauphsman', 'Anisovets', 'Sakubara', 'Barabashev', 'Baiteryakoff', 'Elesin', 'Shakhnarovich', 'Bairashewski', 'Muzalevsky', 'Tamuro', 'Blackmore', 'Mercier', 'Zherikhin', 'Bang', 'Hobson', 'Hairutdinov', 'Aubrey', 'Redden', 'Awwakumoff', 'Shirane', 'Gerhard', 'Doich', 'Paitakes', 'Gudev', 'Yaimov', 'Hanania', 'Landi', 'Weeks', 'Tailor', 'Doran', 'Shibaguchi', 'Zhegin', 'Zelenenkov', 'Pitts', 'Stumpf', 'Shahmametiev', 'Gorbov', 'Engelsberg', 'Shiomi', 'Han', 'Lambert', 'Pazukhin', 'Isaichev', 'Eberg', 'Fearnley', 'Botros', 'Shalaginov', 'Jokhov', 'Vozovik', 'Myatishkin', 'Bajoff', 'Yapondych', 'Asker', 'Stepan', 'Naldi', 'Stokoe', 'Lejebokov', 'Vanslov', 'Hatuntsev', 'Denham', 'Limitovsky', 'Schroder', 'Leal', 'Froy', 'Dowler', 'Bakshtanowsky', 'Badridze', 'Duyava', 'Lang', 'Pismensky', 'Kurosawa', 'Tuma', 'Armati', 'Gro', 'Tomashov', 'Faye', 'Vitoshnov', 'Sleiman', 'Dalach', 'Warner', 'Pohilevich', 'Persein', 'Durdyev', 'Makaseev', 'Yanagawa', 'Maloof', 'Ryzhkovsky', 'Altamura', 'Coates', 'Nichols', 'Stenhouse', 'Fontaine', 'Gehman', 'Velazquez', 'Paris', 'Jernov', 'Jagofarov', 'Verpeto', 'Lihodei', 'Verbitsky', 'Aivazovsky', 'Skala', 'Bernard', 'Bishara', 'Ogata', 'Bellandi', 'Sortras', 'Egami', 'Zhdanko', 'Babushkin', 'Isa', 'Abboud', 'Gillam', 'Leihtenbergsky', 'Lemieux', 'Atiyeh', 'Stein', 'Katsenellenbogen', 'Reynold', 'Colbert', 'Shamon', 'Raikatuji', 'Balashoff', 'Poroykov', 'Patzalo', 'Chalyshev', 'Awrutin', 'Dubinovsky', 'Edwards', 'Zhivotenko', 'Yepishev', 'Mojarovsky', 'Heintze', 'Amatore', 'Wills', 'Haik', 'Sienkiewicz', 'Milani', 'Awad', 'Marholenko', 'Utrobin', 'Felix', 'Asghar', 'Natho', 'Altham', 'Ramakers', 'Gerges', 'Dudchik', 'Kanaan', 'Hideki', 'Pastore', 'Modugno', 'Gluhih', 'Marchenov', 'Appleby', 'Xue', 'Hahulin', 'Grushko', 'Hihich', 'Nisbet', 'Darichev', 'Mancuso', 'Agaloff', 'Elfman', 'Auktsionek', 'Jovtyak', 'Jewell', 'Penner', 'Abadi', 'Townsley', 'Hiranuma', 'Featherstone', 'Apsley', \"D'amore\", 'Davydchenko', 'Dobrodeev', 'Siena', 'Milne', 'Berezovikov', 'Pridchenko', 'Baraks', 'Grillo', 'Rotar', 'Jujlev', 'Granberg', 'Chuvanov', 'Abadi', 'Tchapko', 'Shalhoub', 'Naifeh', 'Barnard', 'Hakimov', 'Vanshenkin', 'Esposito', 'Babeshkin', 'Tokuda', 'Persov', 'Vanzhula', 'Blackman', 'Bao', 'Tzayukov', 'Timlin', 'Eastwood', 'Abadi', 'Perry', 'Morcos', 'Waldfogel', 'Yatzkovsky', 'Bestuzhev', 'Small', 'Baba', 'Skokan', 'Moderah', 'Naumann', 'Gene', 'Shaidenko', 'Perrault', 'Paulis', 'Jupanenko', 'Adamou', 'Biryukovich', 'Saifitdinov', 'Timashev', 'Otlesnov', 'Tahan', 'Heatley', 'Sneiders', 'Prokuronov', 'Windsor', 'Yakimenko', 'Santos', 'Zelenetsky', 'Ganim', 'Lauwers', 'Artliff', 'Yount', 'Isanin', 'Vinnitsky', 'Hutchison', 'Bahvalov', 'Elliman', 'Antoshin', 'Hahalev', 'Goloborodov', 'Hanson', 'Jiril', 'Tsallagov', 'Jeludev', 'Dimmock', \"D'onofrio\", 'Karubo', 'Zobov', 'Urbina', 'Mindlin', 'Tsegoev', 'Denisovsky', 'Flaxman', 'Bagmut', 'Ransom', 'Hodson', 'Mansour', 'Valberh', 'Gudkov', 'Dyachkovsky', 'Tang', 'Franzese', 'Abadi', 'Vollans', 'Yamagata', 'Shaer', 'Bakkarevitch', 'Mai', 'Atamanyuk', 'Atlanov', 'Vysochin', 'Fei', 'Tcharushin', \"O'Malley\", 'Pochkunov', 'Abaimov', 'Wirnhier', 'Lupenkov', 'Jitinkin', 'Tuma', 'Musavirov', 'Valters', 'Langton', 'Babinoff', 'Badikov', 'Rowson', 'Goloborodko', 'Antwerpen', 'Nader', 'Bahar', 'Lyon', 'Thompson', 'Loskov', 'Adyrhaev', 'Nunes', 'Katz', 'Havroshin', 'Yuzhilin', 'Jakeman', 'Apeldoorn', 'Desyatskov', 'Bilonog', 'Kanaan', 'Oirschot', 'Sarna', 'Balabuev', 'Chadrantsev', 'Tokovoi', 'Gillen', 'Jegin', 'Hairyuzov', 'Marks', 'Pfeifer', 'Nevedomsky', 'Mooney', 'Till', 'Tumicelli', 'Gulia', 'Chekhluev', 'Doyle', 'Jakurin', 'Otchenashenko', 'Jamaltdinov', 'Kawayama', 'Ruaidh', 'Otton', 'Sarraf', 'Jerebko', 'Davitashvili', 'Voronikhin', 'Anderson', 'Zhegunov', 'Khoury', 'Emohonov', 'Verstakov', 'Amato', 'Daniells', 'Chikichev', 'Adiloff', 'West', 'Jund', 'Abboud', 'Michael', 'Gortyshov', 'Adov', 'Kirtley', 'Evans', 'Dora', 'Rooiakker', 'Frontov', 'Gass', 'Lokhmatikov', 'Nadwornik', 'Munsky', 'Confortola', 'Shammas', 'Leech', 'Aspin', 'Perrin', 'Chmiel', 'Yu', 'Padva', 'Onegin', 'Severijns', 'Priimkov', 'Belousov', 'Bilderling', 'Tzalaban', 'Nyuhtilin', 'Natashkin', 'Silje', 'Grobovsky', 'Murray', 'Westgate', 'Sarkis', 'Roijacker', 'Elez', 'Raiter', 'Elvins', 'Vuu', 'Ariwa', 'Belgov', 'Jebrovsky', 'Wilson', 'Imnadze', 'Pyrchenko', 'Kinashita', 'Likhonosov', 'Gorchak', 'Scheer', 'Vainrub', 'Manfredi', 'Vesnovsky', 'Jgutov', 'Bahrushin', 'Vilchinsky', 'France', 'Vesnin', 'Takagaki', 'Arena', 'Allport', 'Vazyaev', 'Porshenkov', 'Kocian', 'Mihalchenko', 'Underwood', 'Averkovitch', 'Ba', 'Jablontsev', 'Troepolsky', 'Colombera', 'Renkas', 'Rahov', 'Marsh', 'Talov', 'Petticrew', 'Fakhoury', 'Biondi', 'Ariwara', 'Ronchi', 'Mokhnachev', 'Manoukarakis', 'Fenn', 'Mansour', 'Dubelir', 'Rhys', 'Vorotnikov', 'Vitov', 'Amelyakin', 'Srour', 'Demidov', 'Pine', 'Mclellan', 'Yugai', 'Elisman', 'Canne', 'Knoxville', 'Gatin', 'Otten', 'Yukhnin', 'Shaev', 'Abadi', 'Vasyutsky', 'Tchekhonin', 'Mayer', 'Cerny', 'Addison', 'Taketomo', 'Botros', 'Bezrukikh', 'Mcphail', 'Harchikov', 'Okawa', 'Agapkin', 'Jatsyk', 'Kurian', 'Hasbulatov', 'Harb', 'Vyalov', 'Abadi', 'Bakhtinoff', 'Kalimullin', 'Gordon', 'Aushev', 'Srour', 'Jopson', 'Haziev', 'Gordyagin', 'Bithell', 'Abylgaziev', 'Corbett', 'Fakhoury', 'Ganim', 'Vaarandi', 'Kremlacek', 'Khoury', 'Kent', 'Hajjar', 'Gorskih', 'Axon', 'Zhou', 'Frei', 'Halaev', 'Louverdis', 'Edler', 'Rocha', 'Allington', 'Todorov', 'Bakirov', 'Maloof', 'Chekhovich', 'Teunissen', 'Adjalov', 'Razygrin', 'Dogadov', 'Benetton', 'Mindeli', 'Totten', 'Pailing', 'Bakaloff', 'Zhukovin', 'Coomber', 'Mikhail', 'Turovtsev', 'Akker', 'Golovach', 'Bahar', 'Lihtentul', 'Tansley', 'Nejentsev', 'Allwood', 'Baumgartner', 'Djeladze', 'Gaber', 'Holl', 'Lukha', 'Gorstkin', 'Yuhman', 'Steffen', 'Law', 'Belanger', 'Gladilschikov', 'Muruyama', 'Mateus', 'Hiorvst', 'Bezusko', 'Andreu', 'Yudakov', 'Sunderland', 'Carboni', 'Makunin', 'Fakhoury', 'Corcoran', 'Dantsiger', 'Westerberg', 'Serednitsky', 'Yakutkin', 'Kaloshin', 'Nesmelov', 'Dikih', 'Gronsky', 'Golovan', 'Asghar', 'Bezruchenkov', 'Horuzhenko', 'Glazunov', 'Vyaltsev', 'Greco', 'Shamoun', 'Peters', 'Bazunov', 'Rahamimov', 'Glynn', 'Xuan', 'Babintsev', 'Avery', 'Pyanov', 'Yakub', 'Barakin', 'Edeson', 'Eales', 'Sip', 'Etsuko', 'Spini', 'Ryans', 'Garbutt', 'Costello', 'Renshaw', 'Lihvantsev', 'Bitar', 'Por', 'Hakimi', 'Tsigra', 'Emms', \"Pohmel'Nyh\", 'Movsaev', 'Gladkih', 'Stary', 'Eikhvald', 'Tulkin', 'Issa', 'Foss', 'Alfionov', 'Nairn', 'Islanov', 'Jatsuba', 'Jukhimuk', 'Fabb', 'Rousseau', 'Lawrance', 'Castillion', 'Didigov', 'Gaber', 'Abel', 'Kappel', 'Paderin', 'Kassmeyer', 'Tulub', 'Beech', 'Didrikil', 'Theunissen', 'Awdoshin', 'Zhandarov', 'Robkanov', 'Baz', 'Bing', 'Paterson', 'Belesis', 'Hanchuk', 'Rakhimbaev', 'Roff', 'Helimsky', 'Poryvay', 'Tamura', 'Lihanov', 'Divakov', 'Handirov', 'Mcintosh', 'Divoky', 'Neverov', 'Turarov', 'Littlewood', 'Muzipov', 'Pridybailo', 'Tihov', 'Moshkunov', 'Ganim', 'Jigulsky', 'Louth', 'Chung', 'Hogg', 'Lokhov', 'Nader', 'Nader', 'Sakiev', 'Yugov', 'Zasoba', 'Kikuchi', 'Zhiril', 'Yatzenko', 'Groves', 'Wigley', 'Haddad', 'Isa', 'Glukharev', 'Stroud', 'Alford', 'Galbraith', 'Min', 'Glaznev', 'Dyachkov', 'Darsigov', 'Rapota', 'Agumaa', 'Spicer', 'Asghar', 'Theofilopoulos', 'Rahmaninov', 'Atamanov', 'Nicholas', 'Martinkus', 'Handurin', 'Gray', 'Nakamoto', 'Foden', 'Grodsky', 'Vaskovtsev', 'Vyhodtsev', 'Aurov', 'Shimura', 'Messner', 'Takudome', 'Tojo', 'Valchitski', 'Badyunoff', 'Ruhledev', 'Prill', 'Mckeown', 'Shenker', 'Zhabrev', 'Golomolzin', 'Riddell', 'Kassis', 'Downes', 'Movsumadze', 'Shin', 'Baidin', 'Essa', 'Asfour', 'Shadid', 'Tzapov', 'Dovetov', 'Albats', 'Beveridge', 'Norbert', 'Bernat', 'Vispovatyh', 'Jaklashkin', 'Los', 'Karnoupakis', 'Hamukov', 'Tobin', 'Maloof', 'Gukasov', 'Billevich', 'Yamskov', 'Fontaine', 'Ryoo', 'Toma', 'Kalb', 'Zhilchikov', 'Daraev', 'Talalai', 'Antar', 'Zherebovich', 'Charnetsky', 'Estevez', 'Kattan', 'Lambton', 'Handley', 'Miyajima', 'Yakshin', 'Phung', 'Eideman', 'Zogalev', 'Daher', 'Tchekonov', 'Poirier', 'Said', 'Kassis', 'Sala', 'Pliskanovsky', 'Zingarevich', 'Ganim', 'Averchenko', 'Koiso', 'Shinkaruk', 'Chepko', 'Grant', 'Kvasnicka', 'Golovachev', 'Goloschuk', 'Zhelokhovtsev', \"V'Yunkov\", 'Chauhan', 'Vilken', 'Moguchev', 'Tsekhanovich', 'Ferguson', 'Kings', 'Sabbagh', \"O'Meara\", 'Hayuata', 'Whitlock', 'Hasimoto', 'Livshin', 'Awetisyan', 'Bazzi', 'Safar', 'Bakerkin', 'Chepurnoy', 'Drake', 'Gladky', 'Podshivalov', 'Makusev', 'Durdin', 'Hautem', 'Deryushev', 'Ageitchev', 'Lih', 'Jorov', 'Yabsley', 'Elapov', 'Vakulitch', 'Zinoviev', 'Botros', 'Pech', 'Jaruev', 'De santis', 'Benini', 'OwYang', 'Stewart', 'Alkvist', 'Velds', 'Loiter', 'Seto', 'Jewkes', 'Yuhma', 'Weineltk', 'Vakanya', 'Toma', 'Porus', 'Kouri', 'Romao', 'Kassis', 'Khouri', 'Bonomo', 'Nazari', 'Semick', 'Gagarin', 'Tugwell', 'Rosa', 'Jatsun', 'Humphrey', 'Matzkov', 'Lama', 'Ponedelnik', 'Kernick', 'Rzheshevsky', 'Gorski', 'Shangin', 'Bazilevitch', \"D'cruz\", 'Gunning', 'Yeardsley', 'Abeldyaev', 'Abdulladzhanov', 'Bekleshev', 'Gaynor', 'Grosz', 'Bellomi', 'Jagudin', 'Arriola', 'Coiro', 'Asghar', 'Awtukhoff', 'Vo', 'Pfaff', 'Araya', 'Lieu', 'Prokoshev', 'Forst', 'Yatsenko', 'Bezrukavnikov', 'Tannous', 'Voll', 'Reilly', 'Graner', 'Derich', 'Ennos', 'Curran', 'Minobe', 'Kalb', 'Austen', 'Emsden', 'Pechersky', 'Likharev', 'Nasretdinov', 'Moriarty', 'Gasvitsky', 'Tchagin', 'Avelitchev', 'Mingaleev', 'Fonda', 'Hisamutdinov', 'Bestemyanov', 'Haneev', 'Ujvy', 'Andreichik', 'Barrow', 'Andreichev', 'Mulerman', 'Veselkin', 'Warwick', 'Hizh', 'Grec', 'Haddad', 'Hanlon', 'Masi', 'Said', 'Daursky', 'Chekhanov', 'Motta', 'Gorsky', 'Amantea', 'Yahno', 'Robustov', 'Takabe', 'Boulos', 'Eliopoulos', 'Dermelev', 'Lykosov', 'Akutagawa', 'Arah', 'Rigg', 'Shakhansky', 'Abubekeroff', 'Dubinkin', 'Boutros', 'Finochkin', 'Ibbs', 'Simon', 'Sarkis', 'Loh', 'Tikhenko', 'Janosik', 'Hedley', 'Sergeant', 'Downie', 'Evsiukov', 'Hramchenkov', 'Kelliher', 'Bohm', 'Jones', 'Serchuk', 'Kofel', 'Jukov', 'Bajanoff', 'Gooding', 'Lilov', 'Levine', 'Beltsev', 'Abzhaliloff', 'Jelnin', 'Abdulbasirov', 'Abashin', 'Lomax', 'Zhulev', 'Huranov', 'Srpcikova', 'Hayashida', 'Hanania', 'Sansone', 'Kobayashi', 'Avhimovich', 'Mei', 'Shaidarov', 'Crowther', 'Lagana', 'Podsyadlo', 'Abdulladzhanoff', 'Chkhartishvili', 'Mikhlin', 'Yap', 'Vinny', 'Limarov', 'Imeretinsky', 'Obata', 'Armbruster', 'Ermacora', 'Tchekmezov', 'Trimble', 'Giannakos', 'Vyazalov', 'Habichev', 'Mikhaltsov', 'Metcalf', 'Mlechin', 'Moshkov', 'Kolen', 'Pierre', 'Ibarra', 'Diaz', 'Vaindrah', 'Head', 'Agadzhanyan', 'Kajiyama', 'Lopez', 'Asano', 'Barone', 'Bagin', 'Kaczka', 'Haines', 'Gastello', 'Sarraf', 'Djibladze', 'Burton', 'Neznamov', 'Watters', 'Sekine', 'Admoni', 'Tronye', 'Ufimkin', 'Mclaughlin', 'Yakurin', 'Homatsky', 'Boulos', 'Vanifatiev', 'Durrant', 'Pyrin', 'Mohren', 'Drechsler', 'Aonghuis', 'Glebov', 'Pollock', 'Rudaski', 'Awaliani', 'Sarno', 'Bahar', 'Akimov', 'Santana', 'Golotyuk', 'Ghanem', 'Valyanov', 'Baburkin', 'Terry', 'Esteves', 'Segawa', 'Mudrik', 'Dijur', 'Reisser', 'Hale', 'Vickers', 'Babarykin', 'Abelmazoff', 'Mozharovsky', 'Gagen', 'Gess', 'Unterbrink', 'Mozhaikin', 'Varaev', 'Shalhoub', 'Sapienti', 'Ufimtsev', 'Awinoff', 'Jardetsky', 'Nader', 'Villiam', 'Shakhurin', 'Gribachev', 'Kijimuta', 'Fabbri', 'Taltskov', 'Alferiev', 'Ranks', 'Badoev', 'Deryagin', 'Vihirev', 'Eletskih', 'Jang', 'Kabisha', 'Salt', 'Vane', 'Pantelas', 'Niemczyk', 'Heron', 'Tawaraya', 'Sarraf', 'Gaschenkov', 'Grey', 'Srour', 'Inglefield', 'Harybin', 'Snowdon', 'Veltistov', 'Raikevich', 'Ponarovsky', 'Serafin', 'Kirchma', 'Abletsov', 'Vine', 'Edgley', 'Mifsud', 'Vanstein', 'St martin', 'Jagodin', 'Deeb', 'Guirguis', 'Hajjar', 'Dobrolensky', 'Traverse', 'Deshevyh', 'Routledge', 'Banderas', 'Kassab', 'Yanishevsky', 'Ando', 'Vince', 'Mravinsky', 'Enik', 'Funabashi', 'Cham', 'Avzalov', 'Richardson', 'Dan', 'Braden', 'Ryder', 'Shibasaki', 'Bazzi', 'Penders', 'Zhadan', 'Yukhimuk', 'Pomeroy', 'Pavlenko', 'Likhtentul', 'Mojaikin', 'Gillespie', 'Munchaev', 'Slepica', 'Zogby', 'Gallyamov', 'Yudinsky', 'Zenilov', 'Yakubenko', 'Grokhov', 'Pickering', 'Glumov', 'Asghar', 'Lejepekov', 'Shamon', 'Abroskin', 'Molevich', 'Ebner', 'Demetrious', 'Keal', 'Arai', 'Andronchik', 'Val', 'Abdulgaziev', 'Lutkov', 'Burr', 'Bahar', 'Lyvin', 'Djevetsky', 'Morimoto', 'Boulos', 'Golovanov', 'Dufour', 'Jakushin', 'Imshenetsky', 'Pyjov', 'Rainbagin', 'Jackman', 'Haik', 'BeiBienko', 'Tomanov', 'Zhidilev', 'Amadori', 'Batsevich', 'Awad', 'Moy', 'Halilov', 'Krytinar', 'Himonenko', 'Najjar', 'Zhirikov', 'Najjar', 'Tzapenko', 'Legg', 'Tommii', 'Wheatcroft', 'Caivano', 'Saito', 'Steadman', 'Giersig', 'Yachmentsev', 'Gorchilin', 'Vyvodtsev', 'Awseneff', 'Lejava', 'Bazil', 'Leitner', 'Yasutake', 'Vantchagov', 'Armour', 'Srour', 'Ha', 'Bibishev', 'Oneil', 'Monaghan', 'Zhdankov', 'Scheblykin', 'Minh', 'Livadin', 'Kranz', 'Tovstolit', 'Utulov', 'Sakamoto', 'Greenleaf', 'Bavidoff', 'Bellamy', 'Sleiman', 'Hradek', 'Parkes', 'Lapegin', 'Remeslo', 'Shadhan', 'Shirasu', 'Zhigulenkov', 'Kurofuji', 'Dong', 'Dickenson', 'Nakasato', 'Yatsunov', 'Kikui', 'Stanzel', 'Ironman', 'Schubert', 'Levett', 'Parkinson', 'Zhovtun', 'Olds', 'Fawcett', 'Oreilly', 'Leggett', 'Tsidilin', 'Mogilevich', 'Ricci', 'Nitta', 'Danilchenko', 'Yanek', 'Gladshtein', 'Holyuchenko', 'Saunders', 'Linley', 'Powers', 'Jilchikov', 'Ahn', 'Geyer', 'Shimazaki', 'Diarmaid', 'Henriques', 'Mochulsky', 'Vickerman', 'Shamoun', 'Lockwood', 'Frank', 'Gerges', 'Kanaan', 'Golding', 'Nymmik', 'Ungaro', 'Poyasnik', 'Newton', 'Molcanovs', 'Fellows', 'Shakhnazaryants', 'Raikh', 'Toma', 'Chanturia', 'Schepkin', 'Jerebin', 'Gottschalk', 'Boutros', 'Volcik', 'Close', 'Babst', 'Shiokawa', 'Reilly', 'Donnell', 'Araujo', 'Rohatsevich', 'Thomson', 'Tsevlovsky', 'Babakulov', 'Kimiyama', 'Zheleznikov', 'Belousko', 'Gutierrez', 'Widerlechner', 'Amori', \"Pokhmel'Nyh\", 'Balakirev', 'Kerner', 'Zhidkin', 'Fini', 'Grierson', 'Filippishin', 'Bahar', 'Anufriev', 'Meeuwis', 'Harkevich', 'Baiborodov', 'Adams', 'Dik', 'Awdienko', 'Arkins', 'Abuzov', 'Hooper', 'Bennett', 'Adjemyan', 'Kunomasu', 'Imoo', 'Baz', 'Trinder', 'Zhirinovsky', 'Kingston', 'Mihlin', 'Hirayama', 'Porshnev', 'Jidilev', 'Glenn', 'Totah', 'Boutros', 'Tahan', 'Thonon', 'Kabjihov', 'Mikheenkov', 'Awdyunin', 'Markham', 'Dienko', 'Gerges', 'Tumaev', 'Deeb', 'Tubelsky', 'Aylward', 'Babutsky', 'Valdin', 'Guirguis', 'Chevtzoff', 'Bavarin', 'Haik', 'Wehner', 'Porohovschikov', 'Gerasimovich', 'Grokhovsky', 'Kase', 'Huynh', 'Babadzhanoff', 'Pekhtin', 'Mellor', 'Vertyankin', 'Imamutdinov', 'Adzhemoff', 'Hou', 'Marusev', 'Volsky', 'Huan', 'Lezhebokov', 'Snyder', 'Tsaplinsky', 'Brookes', 'Fitzpatrick', 'Barabash', 'Finenko', 'Nao', 'Dovjenko', 'Berg', 'Travert', 'Wolstencroft', 'Agapeev', 'Asfour', 'Tahan', 'Pokhis', 'Kawagichi', 'Torisei', 'Errity', 'Bakov', 'Ashworth', 'Hlynov', 'Guzenko', 'Bazanov', 'Stoppard', 'Zhuravlev', 'Ransom', 'Drummond', 'Johnstone', 'Yatsun', 'Loong', 'Eruhimovich', 'Gagonin', 'Zasukha', 'Pavin', 'Zhestkov', 'Dietrich', 'Aust', 'Segers', 'Kalikhanov', 'Sai', 'Mcnulty', 'Vajnichy', 'Homich', 'Lichnov', 'Budny', 'Bakunovets', 'Timmins', 'Dagher', 'Bekman', 'Crown', 'Mokhosoev', 'Rana', 'Belyavin', 'Daugherty', 'Zogby', 'Chertkov', 'Goloveshkin', 'Michel', 'Leoni', 'Peacock', 'Rakhmanin', 'Keywood', 'Platt', 'Lykasov', 'Alymov', 'Vingilevsky', 'Bekleshov', 'Mombelli', 'Mingo', 'Schepiorko', 'Kumiega', 'Salib', 'Aoki', 'Kachaev', 'Zholobov', 'Benivieni', 'Katsuba', 'Maksyuta', 'Guang', 'Chadwick', 'Jukhotsky', 'Salib', 'Emerson', 'Mansour', 'Arbuzov', 'Grushi', 'Lincoln', 'Kerrell', 'Hajjar', 'Velli', 'Mikhail', 'Moshninov', 'Dovzhenko', 'Zinger', 'Augustoff', 'Turkin', 'Likhovtsev', 'Hanbikov', 'Hapachev', 'Remizov', 'Lang', 'Sailotov', 'Gluharev', 'Jatskovsky', 'Tikhankin', 'Anzai', 'Lohrenz', 'Balazovsky', 'Stockley', 'Paternoster', 'Jatzevich', 'Bloggs', 'Okui', 'Nowak', 'Tahan', 'Baidyuk', 'Dioli', 'Chuvashov', 'Bobienski', 'Woodhams', 'Tamanin', 'Vavra', 'Galevko', 'Ohmiya', 'Malec', 'Dikson', 'Groos', 'Kabalevsky', 'Sleiman', 'Getmanenko', 'Jadkevich', 'Rietveld', 'Vertegel', 'Wasem', 'Yagofarov', 'Houlis', 'Lezhepekov', 'Pietri', 'Kaloxylos', 'Durkin', 'Polites', 'Dovgopoly', 'Rahal', 'Hyata', 'Berry', 'Shimohira', 'Shelyag', 'Giblin', 'Vikhorev', 'Akita', 'Kalitvin', 'Samuel', 'Shannon', 'Khoury', 'Goto', 'Handal', 'Natapov', 'Jerihin', 'Rihman', 'Kenneford', 'Jeryapin', 'Tzakhilov', 'Gell', 'Abels', 'Egorenko', 'Gujov', 'Muklevich', 'Dannenberg', 'Mihailin', 'Neal', 'Bachaev', 'Virichev', 'Aizawa', 'Sarkis', 'Adilov', 'Kilnan', 'Ferdinand', 'Paiser', 'Downer', 'Maroun', 'Bayer', 'Said', 'Carmichael', 'Brook', 'Bakihanoff', 'Zasluev', 'Jarratt', 'Brzezicki', 'Tsaregradsky', 'Minatoya', 'Judahin', 'Autenburg', 'Isachenkov', 'Alsop', 'Iseki', 'Srour', 'Armando', 'Jilis', 'Rodger', 'Amin', 'Liventsev', 'Bakanchuk', 'Tseitlin', 'Loskutov', 'Olan', 'Samson', 'Japparov', 'Norgate', 'Chikun', 'Dovgello', 'Eliashberg', 'Slusarski', 'Martinez', 'Troon', 'Rahal', 'Hudoinatov', 'Beinenson', 'Klimes', 'Von wegberg', 'Aziz', 'Vanzha', 'George', 'Vesner', 'Dzhunkovsky', 'Dobreitser', 'Gaber', 'Holyavin', 'Parodi', 'Holodilin', 'Anderton', 'Makhin', 'Storer', 'Agapitov', 'Bakhanoff', 'Moreinis', 'Zhurakovsky', 'Zasuha', 'Dzhamaldinov', 'Bakis', 'Eyles', 'Marchenkov', 'Kirkman', 'Salomon', 'Klerx', 'Martyushin', 'Fuchs', 'Mcdonald', 'Pyankovsky', 'Tomes', 'Levitan', 'Tovstukha', 'Judin', 'Patel', 'Virvitsiotti', 'Viteri', 'Novotny', 'Ghanem', 'Jakubovsky', 'Burt', 'Jorjev', 'Porohnya', 'Zasukhin', 'Bahchivandzhi', 'Puerta', 'Kosmatka', 'Parris', 'Ecclestone', 'Kaldin', 'Andronikov', 'Hudecek', 'Anselmetti', 'Sayegh', 'Oberst', 'Turlov', 'Artyuhov', 'Schuttmann', 'Brambilla', 'Pakharkov', 'Daher', 'Valtchikovski', 'Dale', 'Swift', 'Dodolev', 'Jerbin', 'Nieves', 'Kalamkaryan', 'Uberti', 'Volk', 'Judkin', 'Peng', 'Sadler', 'Gerges', 'Rowley', 'Paine', 'Baranetsky', 'Laar', 'Chugaev', 'Evangelista', 'Furlan', 'Winogrodzki', 'Laar', 'Nakhamkin', 'Korycan', 'Winther', 'Dagher', 'Kram', 'Pinner', 'Baz', 'Jernosek', 'Yagupa', 'Martynyuk', 'Utugunov', 'Deniel', 'Drojjin', 'Zhenovach', 'Filipowski', 'Aswad', 'Schnoor', 'Yamaguchi', 'Yanaslov', 'Bagryantsev', 'Lohanin', 'Havanov', 'Carey', 'Le', 'Mahoney', 'Matasoff', 'Tokmachev', 'Maryushkin', 'Shadid', 'Leiviman', 'Juarez', 'Shields', 'Lepikhov', 'Baistryutchenko', 'Djanaev', 'Iskyul', 'Voronichev', 'Ebina', 'Vedensky', 'Sleiman', 'Soukup', 'Touma', 'Rahalsky', 'Hunt', 'Abello', 'Jemchugov', 'Antar', 'Hismatullin', 'Aylett', 'Lotkov', 'Dovgyallo', 'Tsushima', 'Jakovichenko', 'Shadid', \"O'Driscoll\", 'Patton', 'Bazzi', 'Averbuh', 'Hopes', 'Vyslouh', 'Mcguire', 'Moody', 'Copley', 'Cham', 'Affini', 'Tikhonitsky', 'Imbulgin', 'Vaganoff', 'Chepraga', 'Osmond', 'Zozrov', 'Ruzzier', 'Bamford', 'Mikhnevich', 'Tokarenko', 'Gaskoin', 'Agnusdei', 'Zhurbin', 'Schultze', 'Eikhmans', 'Koliha', 'Matsievsky', 'Eihenbaum', 'Tosetti', 'Pavoni', 'Hazanov', 'Prigarin', 'Leikam', 'Babashoff', 'Ferrari', 'Garber', 'Close', 'Mcgregor', 'Demetkin', 'Lyes', 'Jivaev', 'Zhmulev', 'Onoe', 'Mikhoels', 'Steere', 'Damiani', 'Demirhanov', 'Togulev', 'Chuguev', 'Touma', 'Courtemanche', 'Gatovsky', 'Haddad', 'Vesnik', 'Moshenkov', 'Fakhoury', 'Impey', 'Keyte', 'Vihrov', 'Gentile', 'Limansky', 'Vaskin', 'Kalinchenko', 'Remishevsky', 'Tremblay', 'Darchinyants', 'Hantsev', 'De angelis', 'Golomovzy', 'Timkov', 'Kattan', 'Esenkov', 'Bakhtizin', 'Minkovich', 'Bakshtanovsky', 'Hausler', 'Mccormick', 'Jenks', 'Fuchida', 'Notoriano', 'Jeltukhin', 'Hollis', 'Daher', 'Costa', 'Nuikin', 'Nunuev', 'Yasui', 'Khalifa', 'Kirkbright', 'Pearce', 'Katsu', 'Zimin', 'Molcan', 'Shahbanov', 'Luferov', 'Bazhutkin', 'Oelberg', 'Kamon', 'Di caprio', 'Ligin', 'Brady', 'Shamoun', 'Zherdev', 'Spyridis', 'Firmin', 'Crabb', 'Ganim', 'Belosvet', 'Mordinov', 'Eroshov', 'Warren', 'Urogataya', 'Jakuschenko', 'Xiao', 'Abdrahmanoff', 'Langston', 'Mortimer', 'Vylkov', 'Dagher', 'Zhirdetsky', 'Jelyabov', 'Adjemov', 'Bag', 'Zogby', 'Babkin', 'Egorenkov', 'Webb', 'Leandres', 'Awad', 'Bentley', 'Balavensky', 'Dick', 'Zhelobinsky', 'Bagalei', 'Favager', 'Andryuhin', 'Jamsuev', 'Kalitkin', 'Djahbarov', 'Lytkin', 'Zhilyuk', 'Bakhrushin', 'Babchenko', 'Acquarone', 'Bambach', 'Pochevalov', 'Pollard', 'Holuev', \"O'Reilly\", 'Loh', 'Molin', 'Hatakeyama', 'Musalnikov', 'Obuchi', 'Murphy', 'Greenall', 'Quinnell', 'Talyantsev', 'Napoliello', 'Guo', 'Hurtov', 'Fakhoury', 'Mollo', 'Atkinson', 'Kalb', 'Quan', 'Grigolyuk', 'Zavatsky', 'Horuzhev', 'Tono', 'Shain', 'Pozzi', 'Kromberg', 'Dakhin', 'Tsvylev', 'Martinson', 'TsannKaySi', 'Dou', 'Tuma', 'Abjalilov', 'Kabalkin', 'Sanchez', 'Carver', 'Herron', 'Hofwegen', 'Gifford', 'Fulker', 'Dagher', 'Zhivlyuk', 'Hart', 'Teshima', 'Komo', 'Tselobenok', 'Linton', 'Grigoriadi', 'Page', 'Shelton', 'Abrameitsev', 'Yukhanaev', 'Rahal', 'Tihonin', 'Chertorinsky', 'Packer', 'Oppenheimer', 'Sugai', 'Bach', 'Ishibashi', 'Neuman', 'Mackay', 'Bohac', 'Adamiants', 'Adelkhanyan', 'Warszawski', 'Berger', 'Badanoff', 'Pazy', 'Adibekov', 'Martin', 'Whiteford', 'Allcott', 'Yaganov', 'Riva', 'Ba', 'Buhr', 'Adelkhanoff', 'Agamirov', 'Moghadam', 'Shenagin', 'Danilyuk', 'Kell', 'Jakubik', 'Walkenhorst', 'Horoshilov', 'Macdermott', 'Vepryushkin', 'Umari', 'Sgro', 'Lizander', 'Marchukov', 'Jakutin', 'Hitrun', 'Vedrinsky', 'Granitov', 'Traversa', 'Quach', 'Cassano', 'Cremona', 'Tsahilov', 'Pawluk', 'Nassar', 'Wilkie', 'Asker', 'Abbey', 'Abdurahmanov', 'Umehara', 'Holin', 'Aswad', 'Nasonov', 'Cearbhall', 'Maeno', 'Larue', 'Ens', 'Raifikesht', 'Ichimonji', 'Dudurich', 'Usynin', 'Belikovich', 'Mikhailutsa', 'Melo', 'Vyjletsov', 'Train', 'Bishara', 'Rehman', 'Alberici', 'Hatoyama', 'Hanania', 'Delamarre', 'Ruzaev', 'Pope', 'Jakon', 'Moreton', 'Jeffs', 'Avdeenko', 'Chikulaev', 'Oborotov', 'Bitar', 'Blumstein', 'Boutros', 'Chukhnin', 'Tsvetnov', 'Daryalov', 'Mahlai', 'Batura', 'Shamoon', 'Lapidus', 'Haidakin', 'Higashikuni', 'Yoshifumi', 'Mihno', 'Agababyan', 'Yeatman', 'Kennedy', 'Tsagolov', 'Biragov', 'Pavelko', 'Jagoda', 'Kabytov', 'Velikorechanin', 'Chukhraev', 'Piruev', 'Taloverov', 'Djavahishvili', 'Govender', 'Arbudu', 'Zhevanov', 'Gributsky', 'Makhankov', 'Dzhanumov', 'Valov', 'Aldebrandi', 'Ponurovsky', 'Uzhvy', 'Agthoven', 'Bartonova', 'Basyuk', 'Exton', 'Bosko', 'Likhtenshtedt', 'Telis', 'Said', 'Fukumitsu', 'Agteren', 'Agadjanyan', 'Nahas', 'Zharikhin', 'Fotiev', 'Bachmanov', 'Pasternak', 'Edgerton', 'Lyzhenkov', 'Tugarinov', 'Walter', 'Belimov', 'Marchegiano', 'Jirkevich', 'Templeton', 'Homeriki', 'Gluhman', 'Birkenberg', 'Dodin', 'Kuchler', 'Goncharuk', 'Leibovsky', 'Kalashnikov', 'Richard', 'Baz', 'Sinagra', 'Hodoval', 'Yakhin', 'Riagain', 'Kitt', 'Pallett', 'Vaksberg', 'Junda', 'Kilmurry', 'Muro', 'Dyerson', 'Lermontov', 'Graminovsky', 'Sayegh', 'Salib', 'Loat', 'Matziev', 'Sha', 'Naifeh', 'Amari', 'Stuckey', 'Albedinsky', 'Trattles', 'Prince', 'Zha', 'Gorski', 'Dudley', 'Beilshtein', 'Rompaye', 'Evers', 'Robert', 'Plisek', 'Awad', 'Large', 'Derfelden', 'Ponidelko', 'Vazquez', 'Vainson', 'Dzhanashia', 'Nasakin', 'Bajanov', 'Yuzhanov', 'Peaper', 'Filipchenko', 'Howie', 'Mahalov', 'Mahachev', 'Rijnders', 'Ibrahim', 'Bottcher', 'Milner', 'Eizen', 'Luc', 'Omura', 'Yarwood', 'Porkhun', 'Zhizhikin', 'Artyukhin', 'Savchak', 'Eccles', 'Bryson', 'Halin', 'Bahtiyarov', 'Feetham', 'Ocasek', 'Avkhadiev', 'Boehler', 'Habarovsky', 'Tzebrikov', 'Abarca', 'Batchaev', 'Hitarov', 'Bazzi', 'Livnev', 'Ilyasov', 'Rujentsov', 'Dumont', 'Toloni', 'Nartey', 'Voronin', 'Dzhabrailov', 'Nepi', 'Awerbukh', 'Adanet', 'Ichiro', 'Cham', 'Kalaganov', 'Gudvan', 'Ruzankin', 'Yeomans', 'Morozovsky', 'Beaulieu', 'Samuels', 'Lezhankin', 'Haslam', 'Levitov', 'Mstislavets', 'Daalen', 'Reuter', 'Agarkoff', 'Bishara', \"O'Mahoney\", 'Oakton', 'Vikharev', 'Bill', 'Turner', 'Pinkney', 'Modyaev', 'Power', 'Boutros', 'Kaddour', 'Bumgarner', 'Koury', 'Bakhurin', 'Chukharev', 'Rich', 'Ferns', 'Kim', 'Teufel', 'Adam', 'Hew', 'Babukh', 'Cleaver', 'Onoda', 'Soga', 'Parker', 'Cherukhin', 'Almasi', 'Minabuchi', 'Rahil', 'Baidachny', 'Xylander', 'Klineberg', 'Goloha', 'Lishin', 'Chromy', 'Crespo', 'Castellano', 'Timonkin', 'Bakushinsky', 'Baumann', 'Hoang', 'Gerstle', 'Banner', 'Oatway', 'Haradze', 'Widdowson', 'Duryagin', 'Jukovsky', 'Prachar', 'Everill', 'Abdulkadyrov', 'Almasi', 'Tyler', 'Hanykov', 'Kanaan', 'Salib', 'Temple', 'Odell', 'Jankilevsky', 'Beaumont', 'Seredov', 'Paragulgov', 'Kanaan', 'Hudilainen', 'Yomkins', 'Portyanko', 'Abaroa', 'Rosser', 'Balboni', 'Jagoda', 'Prinsen', 'Dubhshlaine', 'Mravin', 'Tsalyhin', 'Akera', 'Belikovetsky', 'Zhalybin', 'Nazari', 'Mahutov', 'Kiddle', 'Mikhail', 'Seif', 'Bektemirov', 'Teague', 'Hendry', 'Auerbakh', 'Lohan', 'Vintov', 'Juzgin', 'Crawford', 'Nanni', 'Kalbfleisch', 'Sneddon', 'Abatsiev', 'Poingdestre', 'Safar', 'Chizhik', 'Ayling', 'Kalachihin', 'Mikhalkovsky', 'Bata', 'Merlo', 'Rameckers', 'Jalnin', 'Thirlway', 'Shimizu', 'Mustafa', 'Mrevlishvili', 'Artobolevsky', 'Philip', 'Said', 'Forbes', 'Cham', 'Mackie', 'Wasem', 'Davis', 'Lysenkov', 'Jatkov', 'Shamov', 'Russel', 'Bairashevski', 'Tchaldymov', 'Nasato', 'Ieyasu', 'Nogi', 'Tunev', 'Modzalevsky', 'Roosevelt', 'Pelling', 'Mcdermott', 'Alldridge', 'Ustyantsev', 'Zinkovsky', 'Mahotin', 'Durnovtsev', 'Jiro', 'Bahtadze', 'White', 'Hizriev', 'Nursubin', 'Steen', 'Gledhill', 'Hajicek', 'Petit', 'Topp', 'Pyrkov', 'Martzenko', 'Ryzhev', 'Hishikawa', 'Labbe', 'Bitar', 'Moshkarnev', 'Behtold', 'Avgustov', 'Havinson', 'Kassis', 'Di antonio', 'Kachan', 'Klerken', 'Doherty', 'Fava', 'Moghadam', 'Cui', 'Baidjanov', 'Abbatelli', 'Remin', 'Gonzales', 'Hike', 'Dikovsky', 'Bajev', 'Matsuzawa', 'Gagliardi', 'Khalid', 'Yandarbiev', 'Althoff', 'Poshutilin', 'Adrichem', 'Zhang', 'Khalil', 'Zanetti', 'Elson', 'Gwerder', 'Hramtsov', 'Chabanov', 'Vasyuchkov', 'Sarkis', 'Ryan', 'Knighton', 'Chong', 'Timerbulatov', 'Jikov', 'Zheromsky', 'Von grimmelshausen', 'Batchurin', 'Elliot', 'Yakuta', 'Neeson', 'Lichman', 'Kouri', 'Kartvelin', 'Brotz', 'Totah', 'Yan', 'Awtchenko', 'Hlopotnya', 'Zhezhera', 'Bautin', 'Said', 'Tikhomirnov', 'Vedenkov', 'Bingham', 'Bakadorov', 'Favreau', 'Daher', 'Avkhimovitch', 'Black', 'Kehoe', 'Finferovy', 'Augustov', 'Yakhaev', 'Jenkin', 'Zhivilo', 'Vilchek', 'Vadovski', 'Akrivopoulos', 'Luce', 'Avdonin', 'Shahmatov', 'Vogts', 'Kosmas', 'Gagut', 'Maalouf', 'Benjamin', 'Davie', 'Nelson', 'Wasem', 'Tomaev', 'Moralez', 'Chanyshev', 'Tovey', 'Lichko', 'Mahov', 'Etxeberria', 'Swan', 'Emelyantsev', 'Harlanov', 'Zherebyatiev', 'Longhurst', 'Abba', 'Marunin', 'BestuzhevLada', 'Provenza', 'Zhigmytov', 'De la cruz', 'Gibson', 'Bosco', 'Whalen', 'Juchkov', 'Borde', 'Hampton', 'Rahal', 'Gulkevich', 'Shamoon', 'Quraishi', 'Mifsud', 'Ferrara', 'Kassis', 'Tuganaev', 'Loza', 'Norman', 'Demin', 'Sakson', 'Jablovsky', 'Wormald', 'Michel', 'Gudov', 'Balabko', 'Tzarev', 'Handal', 'Foley', 'Messmann', 'Menendez', 'Ocallaghan', 'Lutoshkin', 'Merta', 'Jivotovsky', 'Zhernakov', 'Talapa', 'Marek', 'Sherwood', 'Rahal', 'Paquet', 'Cong', 'Nagase', 'Leggieri', 'Khouri', 'Dunst', 'Morcos', 'Hakimi', 'Overchuk', 'Polivka', 'Zavala', 'Shenfeld', 'Duggan', 'Lenz', 'Kinniburgh', 'Lepihin', 'Gou', 'Upsdell', 'Nieri', 'Avtsin', 'Mogilny', 'Hamilton', 'Abeln', 'Evranov', 'Grozhantsev', 'Shakhno', 'Plisov', 'Wheeler', 'Zinchuk', 'Kava', 'Daher', 'Zhuravlenko', 'Sayegh', 'Jigalov', 'Chaim', 'Babinov', 'Garofalis', 'Vigo', 'Shadid', 'Mclean', 'Yudkovich', 'Renwick', 'Researcher', 'Limar', 'Cheptygmashev', 'Sun', 'Bosque', 'Olbrich', 'Sabbag', 'Kalachinsky', 'Gatiev', 'Makhno', 'Versan', 'Saga', 'Onusaitis', 'Ying', 'Glossop', 'Wondracek', 'Skinner', 'Aconi', 'Ilsley', 'Halabi', 'Feng', 'Holding', 'Hlopetsky', 'Porokhnya', 'Abboud', 'Tikal', 'Gulchenko', 'Mullen', 'Herbert', 'Pellar', 'Lebeshev', 'Seo', 'Rizzo', 'First', 'Maruk', 'Arian', 'Lysenko', 'Hole', 'Biryulin', 'Linden', 'Jarnikov', 'Masanobu', 'Borowski', 'Turyanov', 'Hloponin', 'Yakubovsky', 'Davies', 'Seredinin', 'Connelly', 'Cabello', 'Girdwood', 'Holodkov', 'Chuvatkin', 'Gorbenko', 'Shamoun', 'Takudo', 'Jagger', 'Zhushman', 'Tritten', 'Kuroda', 'Ciardha', 'Mahno', 'Yadov', 'Parnaby', 'Jiritsky', 'Hirano', 'Oomen', 'Paholkov', 'Khouri', 'Kouba', 'Kalabekov', 'Porosyuk', 'Girling', 'Sheng', 'Schoonenburg', 'Aggelen', 'Asfour', 'Lolos', 'Artenov', 'Ruzimatov', 'Vainberg', 'West', 'Jarkikh', 'Prigojy', 'Kruessel', 'Abalmasov', 'Bagroff', 'Omelyansky', 'Nurkaev', 'Ellery', 'Zihanov', 'Koury', 'Goloshov', 'Yagubov', 'Stuber', 'Khouri', 'Tolboev', 'Abdullaev', 'Wileman', 'Timashov', 'Belostotsky', 'Lokhin', 'Mitsui', 'Muksunov', 'Soler', \"D'cruze\", 'Kakinomoto', 'Watson', 'Antoschenko', 'Zhiganov', 'Fernandez', 'Guadarrama', 'Glavatsky', 'Divnich', 'Jamschikov', 'Komatsuzaki', 'Phillips', 'Djumaniyazov', 'Issa', 'Avdiev', 'Gachinsky', 'Maalouf', 'Anwar', 'Sayegh', 'Lin', 'Keetley', 'Gil', 'Zajicek', 'Zholovan', 'Napier', 'Gavin', 'Favorsky', 'Minyushev', 'Sitz', 'Yasujiro', 'Salib', 'Bakhchivandji', 'Shamon', 'Grushevsky', 'Holodovsky', 'Researcher', 'Hakmaza', 'Tuma', 'Lupan', 'Zhloba', 'Galstyan', 'Tsakunov', 'Rotshild', 'Nilsen', 'Bakshtein', 'Darr', 'Oberto', 'Kunkel', 'Schwenke', 'Jordan', 'Shahnovich', 'Ablov', 'Kalb', 'Averbakh', 'Engver', 'Campo', 'Di stefano', 'Morenets', 'Kassis', 'Elanchik', 'Duval', 'Shaldenkov', 'Metzger', 'Rush', 'Juravliov', 'Bonhomme', 'Rollinson', 'Salomon', 'Agalakoff', 'Victor', 'Clarke', 'Chizhevsky', 'Ponomarenko', 'Traynor', 'Yakunchikov', 'Nicolai', 'Blazek', 'Maughan', 'Zharmuhamedov', 'Postemsky', 'Handrilov', 'Andrusiv', 'Basurto', 'Burnett', 'Tse', 'Newham', 'Colman', 'Fabbro', 'Ishimaru', 'Villiger', 'Leyshon', 'Mcphee', 'Tzarakov', 'Alshevsky', 'Shaw', 'Paradjanov', 'Judinsky', 'Unkle', 'Astratov', 'Eastell', 'Kinsey', 'Avalyan', 'Mann', 'Traver', 'Ackroyd', 'Kitson', 'Filipek', 'Zhidkov', 'Hij', 'Cham', 'Bastrygin', 'Prokoshkin', 'Hatayama', 'Naifeh', 'Nader', 'Speziale', 'Renkevich', 'Grigorenko', 'Cain', 'Talalikhin', 'Zholtovsky', 'Shimakage', 'Artemev', 'Romagna', 'Abubekerov', 'Onyky', 'Golosovker', 'Zhigalov', 'Dobrotin', 'Jakovets', 'Dehmel', 'Adsit', 'Lysak', 'Mikhno', 'Birk', 'Lichkov', 'Sleiman', 'Chuhnov', 'Amersvoort', 'Durnopeiko', 'David', 'Shalnikov', 'Bitar', 'Araki', 'Ali', 'Gresham', 'Ludkin', 'Linville', 'Kasamatsu', 'Baidjanoff', 'Leccese', 'Oinuma', 'Belogrud', 'Driver', 'Bezrukih', 'Zhitinev', 'Weisener', 'Kartavenko', 'Geissler', 'Bai', 'Levitansky', 'Zhao', 'Haddad', 'Mukov', 'Number', 'Glebovitsky', 'Falk', 'Zhgutov', 'Tchajegov', 'Antonowitsch', 'Vlasenkov', 'Norville', 'Schirovsky', 'Leys', 'Duncan', 'Molodkin', 'Pyrikov', 'Amaya', 'Needham', 'Mcloughlin', 'Wan', 'Chekhovsky', 'Morrow', 'Achterberg', 'Jitenev', 'Asai', 'Asahi', 'Hor', 'Brooker', 'Avkhimovich', 'Brisbois', 'Proulx', 'Baikoff', 'Chuharev', 'Makhotin', 'Wasem', 'Vaskovsky', 'Avinovitski', 'Adamski', 'Sponer', 'Lynsmeier', 'Schepetkov', 'Kringos', 'Roganov', 'Treseder', 'Getsov', 'Nakhushev', 'Houttum', 'Senyagin', 'Wales', 'Cham', 'Mccarthy', 'Fitzsimmons', 'Katsourinis', 'Goretti', 'Mansour', 'Raikhman', 'Winder', 'Laurito', 'Raval', 'Muzhzhavlev', 'Shearer', 'Pirushkin', 'Maruschenko', 'Tokombaev', 'Perez', 'Jagunov', 'Johannson', 'Okumura', 'Gaber', 'Judenkov', 'Handruev', 'Norris', 'Peary', 'Jejera', 'Ingermann', 'Tuma', 'Timkachev', \"O'Hara\", 'Ranger', 'Laps', 'Whittle', 'Tcharoshnikov', 'Antony', 'Ruba', 'Maroun', 'Godden', 'Francis', 'Smullen', 'Kawaguchi', 'Pokhilevich', 'Gaber', 'Dupond', 'Janovsky', 'Greenway', 'Cuan', 'Habich', 'Yudasin', 'Huggins', 'Vanstone', 'Jarkov', 'Baburin', 'Watanabe', 'Coulter', 'Pawlitzki', 'Vasyutynsky', 'Likhtin', 'Laberenz', 'Farnum', 'Pear', 'Sleiman', 'Chuhray', 'Jernakov', 'Fedotov', 'Meadows', 'Lang', 'Berezutzky', 'Nowell', 'Borchard', 'Abramovsky', 'Schoorel', 'Kouretas', 'Zolotar', 'Lihtin', 'Merlo', \"O'Boyle\", 'Flanagan', 'Saikin', 'Schulthei', 'Vallander', 'Yuhanaev', 'Daher', \"Awak'Yan\", 'Berezitsky', 'Hawlata', 'Kawamura', 'Bakin', 'Visnap', 'Wei', 'Zhorin', 'Straub', 'Sumner', 'Livansky', 'Nurdinov', 'Salvai', 'Regan', 'Avdyushin', 'Bleier', 'Nenci', 'Addams', 'Frumin', 'Weller', 'Pesek', 'Rodagh', 'Thornhill', 'Adam', 'Vadbolsky', 'Goulding', 'Bishara', 'Antyufeev', 'Halabi', 'Martos', 'Dzhahbarov', 'Fakhoury', 'Toma', 'Magee', 'Grametsky', 'Rutshtein', 'Yageman', 'Kachemaev', 'Martin', 'Meier', 'Mukin', 'Guzairov', 'Zhendarov', 'Kallik', 'Bajenoff', 'Vanyat', 'Avtuhov', 'Moghadam', 'Avakoff', 'Baulin', 'Bakhtov', 'Awad', 'Gorbushin', 'Chuta', 'Baklykoff', 'Kalambetov', 'Portnyakov', 'Teumin', 'Abidoff', 'Ekiguchi', 'Osborn', 'Awilkin', 'Koch', 'Silva', 'Jigailov', 'Shirin', 'Khoury', 'Rowland', 'Dovlatyan', 'Chew', 'Kouri', 'Avtokratov', 'Omoloev', 'Serafin', 'Hong', 'Haslavsky', 'Keay', 'Vasyukov', 'Yushenkov', 'Croft', 'Minskoi', 'Jachmenkov', 'Watling', 'Dikushin', 'Wilks', 'Tsukamoto', 'Averbuch', 'Mintz', 'Almondinov', 'Kajiwara', 'Pisani', 'Martsinkovsky', 'Newland', 'Rivman', 'Bazzi', 'Agaponoff', 'Andruhov', 'Althaus', 'Sastre', 'Rahal', 'Ichigawa', 'Dobrohotov', 'Marychev', 'Abdrahimov', 'Abraroff', 'Vitali', 'Veprev', 'Cutts', 'Carideo', 'Wolter', 'Haga', 'Otten', 'Dobryshin', 'Olenew', 'Abelmazov', 'Alesini', 'Chikanatsu', 'Nassar', 'Ferro', 'Botros', 'Samios', 'Grunewald', 'Hetherington', 'Allam', 'Halymbadja', 'Kearsley', 'Wray', 'Kerwer', 'Forde', 'Avdiyants', 'Arian', 'Malouf', 'Fujikage', 'Kofron', 'Model', 'Pho', 'Vaisman', 'Cann', 'Sklavenitis', 'Jowett', 'Iwasaki', 'Finn', 'Hayata', 'Chehanov', 'Vistchinsky', 'Eroshin', 'Lovell', 'Heywood', 'Baarle', 'Bakhmatov', 'Baka', 'Yukhma', 'Steinmann', 'Horoshavin', 'Ayugai', 'Abugov', 'Yamahata', 'Abreu', 'Langdon', 'Muzychenko', 'Awad', 'Fournier', 'Zhemchujnikov', 'Belokhin', 'Totah', 'Halliwell', 'Shamkov', 'Hamraev', 'Foran', 'Hayutin', 'Potts', 'Malouf', 'Nelms', 'Ventura', 'Vann', 'Vagnoryus', 'Mifsud', 'St pierre', 'Fan', 'Shunsen', 'Lysikhin', 'Grosu', 'Keable', 'Pett', 'Dzhezhela', 'Kattan', 'Earley', 'Agrba', 'Kassis', 'Dopita', 'Balahowsky', 'Sellars', 'Denton', 'Bonfils', 'Dobrushkin', 'Glussky', 'Obinata', 'Lao', 'Abbate', 'Babenchikoff', 'Haik', 'Robert', 'De palma', 'Antufiev', 'Nader', 'Tafani', 'Oxenham', 'Sleiman', 'Crew', 'Hancock', 'Fabrikant', 'Tkachuk', 'Ritchie', 'Feld', 'Homichenko', 'Fung', 'Yuan', 'Greig', 'Taylor', 'Vilkovsky', 'Antoun', 'Agranowsky', 'Jenkyns', 'Avrov', 'Baron', 'Espino', 'Zogby', 'Meinhardt', 'Fenstermacher', 'Rakhmatulin', 'Meisner', 'Behmetiev', 'Nezvigin', 'Grosshopf', 'Stannard', 'Callow', 'Yakunov', 'Lysykh', 'Malouf', 'Shuttleworth', 'Groel', 'Penev', 'Baigozin', 'Schuster', \"O'Byrne\", 'Marquering', 'Charles', 'Topliss', 'Juhimuk', 'Herschel', 'Jarman', 'Vantenkov', 'Avetyan', \"O'Kelly\", 'Takimoto', 'Ableukhoff', 'Rickard', 'Chertoritsky', 'Lichkanovsky', 'Bakhmutski', 'Romero', 'Bereznikov', 'Makushok', 'Lofthouse', 'Tumin', 'Black', 'Rahal', 'Katzari', 'Maruya', 'Kang', 'Zimenkov', 'Vintergalter', 'Unsworth', 'Jalchevsky', 'Jakubov', 'Sakagami', 'Yahaev', 'Antoun', 'Jourdan', 'Porohin', 'Gulyansky', 'Cai', 'Roffey', 'Jerebtsov', 'Kenkyusha', 'Natsume', 'Mcdonnell', 'Yamaoka', 'Mokretsov', 'Bim', 'Sayegh', 'Ybarra', 'Baichikoff', 'Gorchinsky', 'Lando', 'Egipko', 'Ooka', 'Nurov', 'Shenterev', 'Dankov', 'Eggert', 'Hafizov', 'Topham', 'Talygin', 'Kysel', 'Fairbrother', 'Miyahara', 'Masih', 'Furlong', 'Rompay', 'Nahas', 'Rosales', 'Gastev', 'Grozdov', 'Russo', 'Deryuzhinsky', 'Trennery', 'Kakutama', 'Brennan', 'Kalb', 'Petersen', 'Baz', 'Handal', 'Dexter', 'Adami', 'Ablesimov', 'Atyasov', 'Enshin', 'Nifterik', 'Schultes', 'Harionovsky', 'Cavanagh', 'Islon', 'Huzin', 'Zhabitsky', 'Auborn', 'Abashidze', 'Ondrikov', 'Elwell', 'Researcher', 'Sharpe', \"V'Yurkov\", 'Vincent', 'Hudonogov', 'Maroun', 'Pinder', 'Vaidanovich', 'Moldovyan', 'Tropinsky', 'Tahan', 'Adamoli', 'Shalhoub', 'Williamson', 'Guzun', 'Agaphonov', 'Hopkinson', 'Muchalon', 'Sakulin', 'Lees', 'Tarr', 'Benvenuti', 'Gerges', 'Kalabin', 'Yasukawa', 'Sebastino', 'Blahut', 'Averkovich', 'Ebdon', 'Handa', 'Tsehansky', 'Ujinov', 'Solo', 'Rahletzky', 'Hewitt', 'Agenosoff', 'Slejtr', 'Gagrin', 'Eletsky', 'Veselovsky', 'Niu', 'Ganem', 'Atiyeh', 'Bitar', 'Okazawaya', 'Ryu', 'Trott', 'Awerintsev', 'Bakhmetev', 'Elanin', 'Yakovchenko', 'Awetyan', 'Samaha', 'Boyle', 'Brune', 'Adadurov', 'Homulka', 'Erizawa', 'Katzovsky', 'Babenchikov', 'Morandi', 'Chance', 'Bachinski', 'Djumagaliev', 'Guan', 'Raghailligh', 'Stangl', 'Sarraf', 'Ward', 'Maroun', 'Vasyanovich', 'Eagle', 'Jiang', 'Zak', 'Ots', 'Street', 'Burn', 'Hohki', 'Gomez', 'Paul', 'Lihomanov', 'Dobrajansky', 'Avdeev', 'Bata', 'Blazejovsky', 'Peerenboom', 'Shamsudinov', 'Batukov', 'Moghadam', 'Alderson', 'Thurman', 'Abelev', 'Pokhvisnev', 'Fuschida', 'Pechatkin', 'Pond', 'Awerbah', 'Abategiovanni', 'Nord', 'Shum', 'Rehbinder', 'Eastaway', 'Halevinsky', 'Ponomarkov', 'Zherebin', 'Safar', 'Valdez', 'Kobi', 'Matokai', 'Easterbrook', 'Belorossov', 'Dmukhovsky', 'Patril', 'Vorotnikov', 'Chepurnyh', 'Valchikovsky', 'Rompa', 'Oichi', 'Grigorchikov', 'Jarinov', 'Anoskov', 'Haradurov', 'Chijik', 'Aherne', 'Djura', 'Matsiev', 'Ilyakhin', 'Fulton', 'Lester', 'Legge', 'Abudikhin', 'Maroun', 'Charuhin', 'Dogadaev', 'Holtzer', 'Shamon', 'Bahar', 'Veselago', 'Guirguis', 'Abramovitch', 'Mustafa', 'Maryenko', 'Jachikov', 'Uzhinov', 'Lejankin', 'Easdown', 'Philips', \"O'Connell\", 'Adulov', 'Makhotkin', 'Lapikov', 'Meakin', \"Tsel'Ko\", 'Dzhigarhanyan', 'Salzwedel', 'Shaihutdinov', 'Homusko', 'Good', 'Fritsch', 'Upton', 'Agababoff', 'Fencl', 'Sayegh', 'Mushashibo', 'Olley', 'Levitsky', 'Shigeki', 'Royle', 'Curry', 'Pohitonov', 'Avduewski', 'Gibson', 'Marushko', 'Landolfi', 'Tsvelikhovsky', 'Cerny', 'Jefferies', 'Woolley', 'Lishansky', 'Rudd', 'Sayegh', 'Halford', 'Lizogub', 'Shalhoub', 'Lut', 'Taira', 'Abdullin', 'Katzibin', 'Gallagher', 'Mcdonagh', 'Haptakhaev', 'Fabel', 'Kramer', 'Hudyh', 'Neusser', 'Maeda', 'Rossem', 'Ennis', 'Grodko', 'Pyriev', 'Alliott', 'Modzko', 'Gerges', 'Sabbagh', 'Caron', 'Paharev', 'Nader', 'Vainshtein', 'Bradley', 'Maalouf', 'Serejkin', 'Shadid', 'Koza', 'Stilo', 'Mcgrath', 'Reid', 'Abdulbasiroff', 'Pochinkov', 'Hachirobei', 'Dikarevsky', 'Zhunin', 'Chabrov', 'Quyen', 'Vestov', 'Araslanov', 'Matzukevich', 'Androkhanov', 'Peter', 'Muller', \"O'Gorman\", 'Lihodedov', 'Priezjaev', 'Timerhanov', 'Ribopier', 'Yuferev', 'Zubizarreta', 'Baiborodoff', 'Valchitsky', 'Alamilla', 'Stieber', 'Molyavinsky', 'Dubasov', 'Marusin', 'Vysotsky', 'Gordeichik', 'Aulov', 'Kouri', 'Rompu', 'Vuong', 'De santigo', 'Martinez', 'Ruda', 'Garcia', 'Shaevich', 'Fakhoury', 'Kosko', 'Badykshanoff', 'Tohill', 'Waterman', 'Pierce', 'Gallai', 'Abdulbekoff', 'Dioletis', 'Field', 'Petru', 'Vlasievsky', 'Sanchez', 'Avvakumov', 'Oborny', 'Tsenin', 'Perez', 'Badoff', 'Muzhikov', 'Beloglazov', 'Fabrichnov', 'Rukhtoev', 'Toka', 'Anopriev', 'Kenrick', 'Tupikhin', 'Brooke', 'Tsarsky', 'Dovgalevsky', 'Toms', 'Hardy', 'Farrington', 'Shotton', 'Leitzke', 'Shahmin', 'Zheleztsov', 'Parrott', 'Minnikhanov', 'Tsagareli', 'Pechenejsky', 'Griboedov', 'Uzbekov', 'Ryjikh', 'Valyavsky', 'Chuhin', 'Rees', 'Uehara', 'Jakshibaev', 'Foston', 'Otov', 'Tsiolkovsky', 'Olsen', 'Ganem', 'Schirmer', 'Phan', 'Phelps', 'Lefevre', 'Moisinovich', 'Inson', 'Gander', 'Awlukoff', 'Tumasiev', 'Mikhin', 'Mihaleiko', 'Dritsas', 'Finlay', 'Zhenin', 'Hanania', 'Bekhtin', 'Divov', 'Alunni', 'Howard', 'Reks', 'Baginoff', 'Issa', 'Numata', 'Cardona', 'Accorsi', 'Lippi', 'Banks', 'Matzakov', 'Antoun', 'Fabr', 'Lawniczak', 'Rakhamimov', 'Houte', 'Albrecht', 'Koning', 'Vinding', 'Bir', 'Koguchi', 'Sorg', 'Truman', 'Poletti', 'Engelgardt', 'Watt', 'Fergus', 'Drojdin', 'Prikazchikov', 'Dawe', 'Abrikosov', 'Curwood', 'Godo', 'Maita', 'Konstantatos', 'Hlupin', 'Dobryshev', 'Romano', 'Martzenyuk', 'Kalb', 'Horvat', 'Martinelli', 'Salomon', 'Rennalls', 'Sordi', 'Chehov', 'Jitin', 'Beck', 'Pochinkovsky', 'Kamio', 'Schneijders', 'Aggeev', 'Koizumi', 'Pyavchenko', 'Gibbons', 'Okuma', 'Djisev', 'Hitruk', 'Cisternino', 'Cathan', 'Weiner', 'Iskortsev', 'Dopiro', 'Morley', \"Ren'Kas\", 'Barakov', 'Lohtin', 'Elagin', 'Saliba', 'Gibbins', 'Kassab', 'Bakhmetov', 'Agaphonoff', 'Jepson', 'Martyushev', 'Nakazawa', 'Nahas', 'Ramm', 'Wiseman', 'Kaul', 'Demas', 'Kamo', 'Tsehmistrenko', 'Safar', 'Bass', 'Galeev', 'Clarkson', 'Tuikin', 'Jugin', 'Belotelov', 'Nazari', 'Hasaev', 'Onoprienko', 'Marquerink', 'Ott', 'Beilin', 'Ustryalov', 'Nasikan', 'Malouf', 'Matzkevich', 'Daher', 'Makushkin', 'Iskander', 'Dehanov', 'Vikhrev', 'Nizhinsky', 'Can', 'Hagurov', 'Asker', 'Kahaya', 'Leighton', 'Ashida', 'Mihailychev', 'Westwell', 'Abezgauz', 'Egamberdiev', 'Rahmail', 'Gransky', 'Allen', 'Iniguez', 'Zobanov', 'Tzeluiko', 'Hamitov', 'Thackray', 'Tseizik', 'Brelsford', 'Kouri', 'Issa', 'Naifeh', 'Gunn', 'Zhivotinsky', 'Harding', 'Majewski', 'Cipriani', 'Hobbs', 'Maryasov', 'Ruvelas', 'Pender', 'Enukidze', 'Foster', 'Vandale', 'Salib', 'Kentaro', 'Jelezko', 'Rikhter', 'Lapitsky', 'Lamberti', 'Nahas', 'Qureshi', 'Turushev', 'Calogerakis', 'Abbatangelo', 'Fromm', 'Katzebin', 'Tikhonin', 'Daishi', 'Winter', 'Forer', 'Valevsky', 'Rakhmatullin', 'Overall', 'Guirguis', 'Carroll', 'Janacek', 'Houten', 'Maroun', 'Abikh', 'Katsari', 'Demetr', 'Laren', 'Almasi', 'Tsukehara', 'Collett', 'Sitta', 'Yablonsky', 'Waterson', 'Flowers', 'Tourna', 'Zhvykin', 'Adoniev', 'Maes', 'Hudoshin', 'Raitsin', 'Gomulka', 'Masih', 'Zhurov', 'Pavone', 'Paget', 'Croce', 'Ishinomori', 'Veltman', 'Hudojnikov', 'Kaiser', 'Tsanava', \"O'Shea\", 'Ruscoe', 'Thoms', 'Dean', 'Renovants', 'Adohin', 'Dagher', 'Panders', 'Martins', 'Babahanov', 'Boutros', 'Pechatnov', 'Hairetdinov', 'Yagodnikov', 'Marmazov', 'Otradnov', 'Kewley', 'Gerges', 'Denisov', 'Gerges', 'Nekuza', 'Bahtin', 'Espinosa', 'Koruba', 'Jakhontov', 'Mokhorov', 'Jakovuk', 'Nassar', 'Oconnell', 'Halimov', 'Tahan', 'Nazari', 'Vico', 'Jakir', 'Pitt', 'Allison', 'Prior', 'Sedmik', \"O'Hannigain\", 'Laganas', 'Bertolini', 'Nader', 'Schneider', 'Kulhanek', 'Ryjkovsky', 'Macmillan', 'Teunaev', 'Molokanov', 'Gerges', 'Maria', 'Wharton', 'Emeshin', 'Abutaliev', 'Mordvin', 'Okimoto', 'Seif', 'Fay', 'OuYang', 'Vilimaa', 'Yuhtman', 'Penney', 'Zavolokov', 'Derman', 'Tcharushkin', 'Jbanov', 'Airo', 'Turiyansky', 'Matzevich', 'Hajjar', 'Jagodinsky', 'Zhemukhov', 'Galanopoulos', 'Agakov', 'Makhortov', 'Gershkovich', 'Weiman', 'Snider', 'Fakhoury', 'Vihnovich', 'Dogel', 'Valuev', 'Eberhardt', 'Halabi', 'Tulikov', 'Tsebrikov', 'Hamnett', 'Chekhonin', 'Walker', 'Glaz', 'Baier', 'Egger', 'Shammas', 'Babichenko', 'Asker', 'Agnivtsev', 'Oliver', 'Kalenov', 'Gatturov', 'Deulin', 'Ban', 'Schepin', 'From', 'Chau', 'Steube', 'Jonas', 'Acerbi', 'Zhogin', 'Kydd', 'Attia', 'Farrer', 'Liang', 'Pechenkin', 'Kneib', 'Zhiryakov', 'Jing', 'Arscott', 'Renaud', 'Klossner', 'Mikh', 'Horigoshi', 'Ijichi', 'Zogby', 'Eedie', 'Lawther', 'Buren', 'Raikin', 'Beklov', 'Capello', 'Gluzman', 'Vozilov', 'Lim', 'Wildgrube', 'Monfort', 'Khork', 'Abakeliya', 'Podstavka', 'Averkov', 'Parry', 'Satoya', 'Halansky', 'Accosi', 'Saliba', 'Awkhadieff', 'Saker', 'Raskob', 'Gosden', 'Killen', 'Gribnov', 'Homsky', 'Matzyuk', 'Bakihanov', 'Medeiros', 'Pylev', 'Avrorov', 'Antyuhov', 'Chekmasov', 'Desrosiers', 'Oriley', 'Arian', 'Varvitsiotes', 'Jidkov', 'Bitar', 'Dillon', 'Zhurko', 'Naggi', 'Nghiem', 'Mustafa', 'Thao', 'Ogilvie', 'Ryjankov', 'Plant', 'Antar', 'Jigalev', 'Bernard', 'Wakefield', 'Rozinek', 'Rempel', 'Tsapelik', 'Ruzhnikov', 'Hoover', 'Dobropolsky', 'Zhegulin', 'Timerbaev', 'Ford', 'Jachevsky', 'Khoury', 'Valyavski', 'Bagmewsky', 'Vedev', 'Kassab', 'Kuiper', 'Grigorovich', 'Zouvelekis', 'Kabalin', 'Zenischev', 'Sayegh', 'Deakin', 'Maalouf', 'Mo', 'Rusov', 'Vintikov', 'Lathan', 'Basile', 'Zhirkov', 'Vyalko', 'Adler', 'Coffey', 'Murray', 'Havin', 'Yambaev', 'Yanshin', 'Auslender', 'Mcgrady', 'Reynder', 'Dubanowski', 'Nifterick', 'Shammas', 'Zharmukhamedov', 'Kapsimalles', 'Kalitin', 'Rustikov', 'Dreschner', 'Shamanin', 'Antonelli', 'Rivero', 'Matsumura', 'Yapparov', 'Blober', 'Jandutkin', 'Shendalev', 'Awksentiev', 'Oxtoby', 'Rang', 'Snyders', 'Alves', 'Kalishevsky', 'Daher', 'Mozzis', 'Engelgard', 'Doan', 'Rodrigues', 'Zaslavets', 'Liddell', 'Halkin', 'Stabile', 'Sarraf', 'Abramson', 'Abdulhabirov', 'Shakespeare', 'Mckenzie', 'Alypov', 'Tseiner', 'Virenius', 'Thian', 'Abrahimov', 'Glennie', 'Rooijakker', 'Gehfenbaum', 'Schulz', 'Adelgeim', 'Bezrukov', 'Tursunov', 'Backer', 'Kone', 'Kui', 'Lody', 'Dudunov', 'Engelmeier', 'Lupanov', 'Janaki', 'Lindsay', 'Kalb', 'Plastow', 'Kearney', 'Hakimi', 'Flanagan', 'Oxby', 'Chukhmantsev', 'Zavodskoi', 'Zipperer', 'Nield', 'Bakradze', 'Totah', 'Chadrantsev', 'Vaidanovitch', 'Janick', 'Babiy', 'Little', 'Yuasa', 'Jagfarov', 'Shah', 'Reynolds', 'Modylevsky', 'Kachioni', 'Tzelibeev', 'Fortunov', 'Chappell', 'Alberghini', 'Absattaroff', 'Hasainov', 'Jam', 'Tsurimi', 'Khouri', 'Astley', 'Baklykov', 'Dobrotvortsev', 'Zhitinkin', 'Arian', 'Zhelnov', 'Vamvakidis', 'Utley', 'Mihnov', 'Riain', 'Troinitsky', 'Ozawa', 'Lapochkin', 'Atiyeh', 'Dodson', 'Yanishin', 'Adzhubei', 'Eyres', 'Yakimchuk', 'Bilek', 'Saliba', 'Cockle', 'Gudim', 'Cuocco', 'Ferrier', 'Jacques', 'Ishimura', 'Geiszler', 'Galei', 'Man', 'Starek', 'Kenworthy', 'Awad', 'Albertini', 'Awelan', 'Assaf', 'Kemp', 'Inglethorpe', 'Rakhlin', 'Garza', 'Nazarkin', 'Xiang', 'Evrard', 'Yapaskurt', 'Vozgov', 'Baldini', 'Wong', 'Omelyuk', 'Amoretto', 'Fielder', 'Mustafa', 'Valenti', 'Jandarov', 'Belohin', 'Nakhabtsev', 'Rovbel', 'Shirai', 'Diep', 'Grimshaw', 'Elston', 'Kanada', 'Badamshin', 'Eburne', 'Lysy', 'Dojin', 'Mojaiskov', 'Zolkin', 'Likin', 'Jaminsky', 'Coelho', 'Chikamatsu', 'Arian', 'Cham', 'Babadjanov', 'Harmansky', 'Slattery', 'Vakulenchuk', 'Tuttle', 'Kreutschmer', 'Gest', 'Jukovich', 'Darevsky', 'Lerner', 'Porhunov', 'Belishko', 'Artseulov', 'Piccoli', 'Jigailo', 'Iturburua', 'Talankin', 'Luha', 'Shaughnessy', 'Shahmagon', 'Guirguis', 'Time', 'Adamyan', 'Patselas', 'Nielson', 'Jones', 'Kelk', 'Tromonin', 'Zolotavin', 'Sauvageau', 'Slusser', 'Wagner', 'Dzhanaev', 'Johnston', 'Vasyuk', 'Vilonov', 'Buggenum', 'Snijders', 'Srour', 'Pinho', 'Mikhalsky', 'Ganem', 'Awdeichikoff', 'Cathasach', 'Awdiewsky', 'Badyunov', 'Balawensky', 'Rosenbloom', 'Ondrisek', 'Rakhalsky', 'Bakanov', 'Rusyaev', 'Jiznyakov', 'Vansovich', 'Agoev', 'Minnibaev', 'Porkhunov', 'Faltysek', 'Petrova', 'Kabashkin', 'Bosch', 'Losev', 'Mahurov', 'Chikov', 'Vaccaro', 'Marfusalov', 'Rogatsky', 'Kong', 'Stueck', 'Gunter', 'Zeng', 'Gillan', 'Deeb', 'Tilston', 'Turlak', 'Geht', 'Yeoman', 'Thuy', 'Lysyakov', 'Zhokhov', 'Valentinovich', 'Kumasaka', 'Chadovich', 'Makhnev', 'Eroschenko', 'Bing', 'Antar', 'Groizman', 'Botros', 'Abdeev', 'Jalkovsky', 'Draper', 'Schmitz', 'Huan', 'Stringer', 'Tomas', 'Bagrich', 'Zhanimov', 'Agranovich', 'Pecora', 'Glavinsky', 'Zhongolovich', 'Baglanoff', 'Psik', 'Bagishvili', 'Dobretsov', 'Fujishima', 'Natalenko', 'Bahmat', 'Bakhusoff', 'Norburn', 'Torres', 'Ustyugov', 'Klein', 'Bush', 'Nader', \"Dan'Ko\", 'Pismichenko', 'Egishev', 'Moghadam', 'Arena', 'Kopp', 'Vedenisov', 'Vadbolski', 'Ryzhenko', 'Vyjutovich', 'Mordovin', 'Trainor', 'Sinclair', 'Malafa', 'Toshusai', 'Lucas', 'Taggart', 'Shamoon', 'Fifield', 'Dzhirin', 'Djugashvili', 'Stafford', 'Reddy', 'Gerges', 'Parkins', 'Hadad', 'Botros', 'Cavallo', 'Urwin', 'Agadjanov', 'Vyshinsky', 'Hapkov', 'Gilmour', 'Shea', 'Jeffery', 'Daly', 'Kingscott', 'Nesbitt', 'Mumladze', 'Paimuhin', 'Nutrihin', 'Paulissen', 'Hino', 'Killeen', 'Hajkasimov', 'Verba', 'Almasi', 'Roy', 'Aedonitsky', 'Quraishi', 'Jensen', 'Grosul', 'Fakhoury', 'Bakst', 'Eroshenko', 'Bethell', 'Crocetti', 'Beider', 'Pelaez', 'Baigulov', 'Deribin', 'Tselikov', 'Tahan', 'Wrenn', 'Jankilovich', 'Nugent', 'Patskevich', 'Kuno', 'Kachinsky', 'Jokhin', 'Rook', 'Bazowsky', 'Jebit', 'Mulin', 'Shadid', 'Dobriyan', 'Zamorano', 'Baklashoff', 'Vivas', 'Haik', 'Vabbe', 'Ivanov', 'Lihosherstov', 'Hamlov', 'Underdown', 'Uchuvatkin', 'Nishihara', 'Takara', 'Avtamonov', 'Mrelashvili', 'Tzelovalnikov', 'Tayama', 'Vega', 'Bahtov', 'Sayegh', 'Woo', 'Antoshevsky', 'Kapoor', 'Pribylovsky', 'Yarlett', 'Flack', 'Charnolusky', 'Mizuno', 'Lichintser', 'Asghar', 'Matzaev', 'Aquino', 'Hirsch', 'Sokolik', 'Kaima', 'Slaski', 'Macleod', 'Isgate', 'Talagaev', 'Fuse', 'Mifsud', 'Avdakoff', 'Hadad', 'Porfirov', 'Jatzyshin', 'Nahas', 'Arian', 'Zimakov', 'Frolkov', 'Kalb', 'Tsumura', 'Wasem', 'Nakayama', 'Golotik', 'Jashkov', 'Atiyeh', 'Islavin', 'Mochalin', 'Ruhtoev', 'BestuzhevRyumin', 'Prolubnikov', 'Andreyanov', 'Desrochers', 'Schits', 'Bagrak', 'Beal', 'Morales', 'Peers', 'Truhanovsky', 'Yaikbaev', 'Kozu', 'Shamoun', 'Eckstein', 'Akaike', 'Koury', 'Turashev', 'Kohler', 'Kattan', 'Kalikhov', 'Batunov', 'Freedman', 'Nosek', 'Bokhoven', 'Shamon', 'Gorman', 'Yue', 'Dodds', 'Coulson', 'Virehovsky', 'Glatter', 'Abadi', 'Osagawa', 'Augustin', 'Wernher', 'Tomanek', 'Gachegov', 'Gillett', 'Pakhrin', 'Tzarsky', 'Imamaliev', 'Golofaev', 'Novohatsky', 'Avgustoff', 'Shige', 'Vins', 'Takenouchi', 'Dobrusin', 'Jeleznyakov', 'Vielgorsky', 'Bairak', 'Zelenevsky', 'Mihailov', 'Easdale', 'Naysmith', 'Jobst', 'Newill', 'Rozenblum', 'Zhidomirov', 'Veller', 'Abrakhimov', 'Shalov', 'Abramov', 'Egershtrom', 'Dovgalev', 'Guttuso', 'Coilean', 'Zhinov', 'Calligaris', 'Collins', 'Basto', 'Guan', 'Tamber', 'Onilov', 'Holodny', 'Forest', 'Asghar', 'Vantchurov', 'Mcrae', 'Zolotnitsky', 'Demarchis', 'Vyazovoy', 'Pazyun', 'Agureev', 'Pyshin', 'Viharev', 'Button', 'Chepelkin', 'Kowalski', 'Abramenkov', 'Zhernevsky', 'Danyukov', 'Cartwright', 'Esser', 'Yamamoto', 'Bayliss', 'Handal', 'Funaki', 'Waite', 'Brant', 'Matsushina', 'Chekomasov', 'Jeltoukhov', 'Mcgee', 'Abadi', 'Innalls', 'Almuhametov', 'Kalatsky', 'Harb', 'Eihenvald', 'Baz', 'Porcher', 'Zhurkovsky', 'Huber', 'Quraishi', 'Nyuhalov', 'Mikhailitsyn', 'Tsah', 'Patsev', 'Yushnevsky', 'Loi', 'Yanvarev', 'Michaud', 'Yaguzhinsky', 'Seif', 'Bahanov', 'Nurullin', 'Bagler', 'Rembeza', 'Joshuyo', 'Srour', 'Minchev', 'Giordano', 'Zavorohin', 'Getie', 'Elmhirst', 'Minushkin', 'Tumanov', 'Arian', 'Tsutaya', 'Orlando', 'Pittaluga', 'Ikoma', 'Kacirek', 'Saliba', 'Sands', 'Jidkikh', 'Maksimchuk', 'Dehant', 'Daviau', 'Marfunin', 'Togo', 'Horanov', 'Ebeling', 'Partlett', 'Maurer', 'Darminov', 'Rossum', 'Zolotarsky', 'Mahankov', 'Zastavsky', 'Ganem', 'Minjurenko', 'Monet', 'Katsenelenbaum', 'Histyaev', 'Martynov', 'Pletcher', 'Bertrand', 'Nevelskoi', 'Quinn', 'Terrazas', 'Becker', 'Avduevsky', 'Millard', 'Grohovsky', 'Diamond', 'Elenin', 'Fakhoury', 'Nahas', 'Said', 'Price', 'Chukhonkin', 'Charukhin', 'Lock', 'Jukovin', 'Pyrlin', 'Chelmy', 'Bakrymoff', 'Napoletani', 'Sayegh', 'Kennedy', 'Boutros', 'Balasoglo', 'Vavkin', 'Lebsky', 'De felice', 'Nayler', 'Awrorin', 'Makhlov', 'Colombo', 'Everson', 'Lyon', 'Adelardi', 'Milne', 'Zabek', 'Lilley', 'Tsalykhin', 'Adlerberg', 'Salamanca', 'Chermak', 'Shon', 'Krivolavy', 'Ahearn', 'Bilbasov', 'Yuzeev', 'Goodson', 'Elzer', 'Baz', 'Arishima', 'Onchukov', 'Seif', 'Boucher', 'Kneller', 'Chevrolet', 'Zientek', 'Ustilovsky', 'Martyshin', 'Tolbuhin', 'Xiong', 'Tchehlakovsky', 'Sabbag', 'Tsunoda', 'Alferov', 'Barakovsky', 'Zhaboev', 'Schwarzenberg', 'Zhitnikov', 'Heveshi', 'Mahrovsky', 'Parent', 'Habibullaev', 'Jluktov', 'Newlands', 'Kachin', 'Sneijder', 'Alianaki', 'Harchenkov', 'Tsvigun', 'Stolarz', 'Ghannam', 'Jatskov', 'Zheltuhin', 'Baz', 'Ness', 'Cotterill', 'Mursalimov', 'Hruskova', 'Julyabin', 'Lattimore', 'Koulaxizis', 'Alshtut', 'Di pasqua', 'Glazychev', 'Kunda', 'Hadash', 'Riverov', 'Gudarenko', 'Guzenkov', 'Maalouf', 'Simonek', 'Gorman', 'Davletyarov', 'Hamatnurov', 'Lee', 'Cousineau', 'Couture', 'Villalobos', 'Zaskanov', 'Kanak', 'Anoprienko', 'Penzig', 'Abramtchuk', 'Von essen', 'Antar', 'Gribanov', 'Ahmed', 'Beringer', 'Bilichenko', 'Badanin', 'Normington', 'Avramchik', 'Kanesaka', 'Sanders', 'Nemeth', 'Linford', 'Do', 'Mansour', 'Novokhatsky', 'Harlashenkov', 'Scotti', 'Jabin', 'Lawerenz', 'Obukovkin', 'Golochevsky', 'Qiu', 'Rahal', 'Finyutin', 'Yahnenko', 'Pohodin', 'Geary', 'Sutton', 'Shibanuma', 'Vyner', 'Jakmon', 'Warburton', 'Hadden', 'Jimila', 'Nakasone', 'Sugimura', 'Snow', 'Jaimov', 'Bruce', 'Chang', 'Himenko', 'Chong', 'Rocca', 'Suenami', 'Zhuchkov', 'Brisimitzakis', 'Haustov', 'Ageitchik', 'Yeung', 'Polilov', 'Fuller', 'Yakushevich', 'Yuzvikov', 'Glezarov', 'Hafner', 'Miller', 'Batskaev', 'Katoaka', 'Terauchi', 'Mendes', 'Vyschepan', 'Jarrold', 'Jandulsky', 'Piffer', 'Thai', 'Madeira', 'Schulze', 'Piatek', 'Manfredonia', 'Kajitani', 'Veltischev', 'Joshuya', 'Pavot', 'Schroter', 'Ernest', 'Jilenko', 'Orellana', 'Docherty', 'Raihman', 'Lapakov', 'Vozgilevich', 'Van', 'Rycroft', 'Burns', 'Abdulazizoff', 'Parkin', 'Morcos', 'Zhorzhev', 'Guirguis', 'Kita', 'Khoury', 'Zhaba', 'Yukhtman', 'Mahrov', 'Nakhodkin', 'Yeldon', 'Mikhalkin', 'Tuma', 'Ware', 'Dolan', 'Glezerman', 'Cove', 'Kassis', 'Agapitoff', 'Stedman', 'Jirov', 'Yamov', 'Henderson', 'Fallows', 'Loenko', 'Baidukoff', 'Dagher', 'Mahinya', 'Cheklyanov', 'Naifeh', 'Juhno', 'Levit', 'Turatbekov', 'Guliev', 'Karim', 'Kassis', 'Mata', 'Gorbunov', 'Kataoka', 'Goldsworthy', 'Tempest', 'Stokes', 'Homutov', 'Shamoon', 'Baisarov', 'Montagne', 'Peltser', 'Habirov', 'Vesnitsky', 'Cvacek', 'Zhelezovsky', 'Tsapov', 'Cornish', 'Vainer', 'Tokmakov', 'GalkinVraskoi', 'Maksyutenko', 'Shibukji', 'Mulligan', 'Rustamov', 'Jokin', 'Everstov', 'Kassis', 'Kawaii', 'Natareev', 'Tsidilkovsky', 'Levann', 'Kalatin', 'Djumabaev', 'Yan', 'Nemoto', 'Nomura', 'Cermak', 'Devaney', 'Nudatov', 'Baiburin', 'Jegulin', 'Loifman', 'Turetskov', 'Portoghese', 'Abulhanov', 'Pypin', 'Yakushin', 'Steel', 'Iesada', 'Mcneill', 'Albert', 'Pavlusenko', 'Mordvinov', 'Antushevsky', 'Ustenko', 'Shichirobei', 'Andronnikov', 'Provenzano', 'Ableukhov', 'Masih', 'Botros', 'Zelentsov', 'Djirin', 'Norsworthy', 'Borghi', 'Slezak', 'Rockliffe', 'Dewar', 'Guidi', 'Fabre', 'Marie', 'Zhohin', 'Veletsky', 'Milward', 'Herrmann', 'Hassan', 'Lichtenberg', 'Maille', 'Zinin', 'Wallis', 'Holoshevsky', 'Pochuev', 'Novosilsky', 'Groisman', 'Fedchenko', 'Gorecki', 'Zhornyak', 'Huerta', 'Strobel', 'Kitoaji', 'Glukhman', 'Bran', 'Aquino', 'Whitmore', 'Deshkin', 'Negri', 'Yudahin', 'Avramtchik', 'Pherigo', 'Moghadam', 'Tchalovsky', 'Turubanov', 'Wood', 'Dudnik', 'Malouf', 'Vinkler', 'Tocher', 'Chan', 'Dogadin', 'Hyobanshi', 'Fremut', 'Jirmunsky', 'Ambrosi', 'Morello', 'Balanev', 'Waters', 'Avtsyn', 'Tovstyko', 'Farrow', 'Takashi', 'Abbakumov', 'Harper', 'Mackenzie', 'Kalitvintsev', 'Valkovoy', 'Zhadenov', 'Janishin', 'Forshaw', 'Moretti', 'Grosse', 'Antar', 'Abyshev', 'Tchekmenev', 'Bird', 'Tselios', 'Finkelshtein', 'Heraskov', 'Alt', 'Tzaplinsky', 'Jelokhovtsev', 'Awdonin', 'Faerber', 'Avaev', 'Atlasov', 'Chekharin', 'Ainley', 'Stavropoulos', 'Romijn', 'Glasby', 'Vagramenko', 'Elstone', 'Takaki', 'Nasetkin', 'Dodd', 'Lowdon', 'Koenigsmann', 'Talkov', 'Prokurorov', 'Donati', 'Gregory', 'Antoun', 'Smith', 'Vymenets', 'Velgus', 'Graves', 'Oconnor', 'Maryltsev', 'Gulko', 'Guirguis', 'Manning', 'De la fontaine', 'Lillis', 'Gibb', 'Safar', 'Bassin', 'Langford', 'Tsayukov', 'Prime', 'Vallakh', 'Bakunoff', 'Dunning', 'Wheeldon', 'Baderski', 'Sui', 'Yamschikov', 'Amelkin', 'Moreau', 'Baum', 'Viskhanov', 'Jadne', 'Katsibin', 'Mojeiko', 'Glukhonkov', 'Hass', 'Coyle', 'Aweryanoff', 'Vyrubov', 'Mcintosh', 'Oakey', 'Ukiyo', 'Pechurkin', 'Vainberger', 'Zhogov', 'Jelezov', 'Sakiyurai', 'Pitterman', 'Tanaka', 'Qureshi', 'Mlynnik', 'Motoyoshi', 'Quraishi', 'Vysheslavtsev', 'Pirojenko', 'Babaev', 'Najjar', 'Ridle', 'Abyzoff', 'Durnov', 'Rodriquez', 'Adabash', 'Schreck', 'Nasrullaev', 'Tchehovich', 'Trinh', 'Zhabin', 'Iemochi', 'Lapinus', 'Warriner', 'Marconi', 'Matsoukis', 'Zhokin', 'Jilin', 'Given', 'Matsotsky', 'Lovelock', 'Janov', 'Tursky', 'Shahtmeister', 'Guilmard', 'Poroh', 'Diky', 'Mason', 'Dizhbak', 'Bishara', 'Baderskov', 'Qin', 'Pekhterev', 'Page', 'Yapp', 'Forester', 'Mulenkov', 'Pasternack', 'Neskorodev', 'Bair', 'Nezhlukto', 'Govyrin', 'Novosiltsev', 'Safar', 'Fillipova', 'Alesio', 'Fleischer', 'Malouf', 'Juhimenko', 'Tcharukhin', 'Mcpherson', 'She', 'Bahtiev', 'Abubakirov', 'Shazzo', 'Atiyeh', 'Getmanov', 'Tighearnach', 'Dovator', 'Onoshkin', 'Abrams', 'Woodland', 'Nader', 'Lewis', 'Tatsuko', 'Kassis', 'Abalikhin', 'Ryzhkin', 'Inouye', 'Gromyhalin', 'Chrysanthopoulos', 'Anikst', 'Davlatov', 'Jandarbiev', 'Tolley', 'Yates', 'Saitanov', 'Zenkovsky', 'Valmary', 'Mingazov', 'Golosenin', 'Balahnin', 'Myatlev', 'Lihterman', 'Kinsella', 'Trucco', 'Frolov', 'Neill', 'Clifford', 'Eikhenbaum', 'Coma', 'Kahae', 'Shaw', 'Arthur', 'Mustafa', 'Vaiserman', 'Assaf', 'Parsons', 'Maguire', 'Gasfort', 'Lewerentz', 'Zimmermann', 'Awtorhanoff', 'Dobrinsky', 'Mifsud', 'Otrohov', 'Danilchuk', 'Sandoval', 'Holminov', 'Greenslade', 'Arian', 'Turton', 'Piskunov', 'Oldfield', 'Baturkin', 'Guirguis', 'Garbett', 'Bishara', 'Avatyan', 'Shula', 'Beale', 'Seighin', 'Baigushev', 'Tokar', 'Lubushkin', 'Coward', 'De la fuente', 'Momotami', 'Sabbagh', 'Beringer', 'Tetelmin', 'Behoev', 'Tsogas', 'Djanakavov', 'Teague', 'Ludwig', 'Awaeff', 'Eidelman', 'Djabrailov', 'Bein', 'Granikov', 'Molchadsky', 'Hanakhu', 'Atiyeh', 'Cardozo', 'Halabi', 'Shainsky', 'Slootmaekers', 'Ieyoshi', 'Cheruhin', 'Otyaev', 'Kattan', 'Fortunato', 'Abel', 'Jelnov', 'Maly', 'Usami', 'Atiyeh', 'Sartini', 'Ashcroft', 'Hodder', 'Jevlakov', 'Coburn', 'Friend', 'Schlantz', 'Srour', 'Mischikhin', 'Jemchujny', 'Mohren', 'Bernard', 'Jitnikov', 'Mikhailets', 'Nakamura', 'Dzhibladze', 'Yakuschenko', 'Fosse', 'Hatin', 'Aldworth', 'Touma', 'Eganov', 'Evstratov', 'Matzievsky', 'Gaskov', 'Shadid', 'Pefanis', 'Jivov', 'Haanrade', 'Tifft', 'Ajiganoff', 'Filipovich', 'Amari', 'Trump', 'Agudoff', 'Turrell', 'Averochkin', 'Jebelev', 'Shirko', 'Rumpade', 'Yakushev', 'Valiahmetov', 'Fryer', 'Leites', 'Doino', 'Tannous', 'Gaft', 'Evison', 'Drysdale', 'Luke', 'Glukhih', 'Goodacre', 'Jmudsky', 'Shamanov', 'Adamczak', 'Abaziev', 'Nagai', 'Vihorev', 'Seah', 'Sugase', 'Osman', 'Stanford', 'Fazylzyanov', 'Martin', 'Bain', 'Bahtigareev', 'Asker', 'Gridnev', 'Tsang', 'Grundy', 'Mozhaiskov', 'Makhonov', 'Asker', 'Alfero', 'Cheparev', 'Pyjev', 'Lezhnin', 'Schevelev', 'Siagyo', 'Berezovaya', 'Evsyutin', \"O'Bree\", 'Hummel', 'Tatsuya', 'Blecher', 'Tovbin', 'Quraishi', 'Wood', 'Riedel', 'Inao', 'Treblik', 'Andryukov', 'Gerschcovich', 'Wicks', 'Bazylev', 'Antoun', 'Furness', 'Filipiev', 'Yakhontov', 'Bains', 'Awksentiewsky', 'Nyuren', 'Chepel', 'Richter', 'Gehrig', 'Teagan', 'Artischev', 'Patzev', 'Yardley', 'Egerton', 'Bairov', 'Subertova', 'Dwyer', 'Baroch', 'Kono', 'Yep', 'Vicario', 'Tan', 'Abadi', 'Vakulovski', 'Eastaugh', 'Dagher', 'Tsyavlovsky', 'Tabuchi', 'Parensky', 'Shakhanov', 'Pokhodeev', 'Isleniev', 'Bartolomei', 'Shaiewich', 'Agakoff', 'Havkin', 'Ligachev', 'Watnabe', 'Grosse', 'Fujiwara', 'Knox', 'Chu', 'Bartosz', 'Haliullin', 'Ageikin', 'Vazyulin', 'Fossard', 'Namiki', 'Maas', 'Agli', 'Nessler', 'Cablikova', 'Rutberg', 'Virkovsky', 'Awtorkhanoff', 'Forsyth', 'Zhulyabin', 'Zherbin', 'Meszes', 'Porra', 'ShirinskyShikhmatov', 'Jigun', 'Antoniadis', 'Habov', 'Mosconi', 'Valkin', 'Vassoevich', 'Otmakhov', 'Holkin', 'Halabi', 'Yuzin', 'Makuhin', 'Mokrushev', 'Eames', 'Stoep', 'Becke', 'Robin', 'Lambert', 'Chertolyas', 'Fotinov', 'Hughes', 'Katzuba', 'Horiuchi', 'Rocco', 'Ingram', 'Rutman', 'Lepikhin', 'Tihvinsky', 'Katzur', 'Yalamov', 'Pachr', 'Giannino', 'Cormac', 'Vanyashin', 'Tochikura', 'Elsmore', 'Bajutkin', 'Abboud', 'Colon', 'Attia', 'Desmond', 'Tuev', 'Kishi', 'Bustillo', 'Takasu', 'Tchehonin', 'Rome', 'Sommer', 'Kavanagh', 'Chikishev', 'Fausti', 'Glazatov', 'Munte', 'Chagin', 'Pridvorov', 'Holan', 'Mochan', 'Ashikaga', 'Limorenko', 'Agramoff', 'Zinkevich', 'Nesmeyanov', 'Nurmuhametov', 'Nurgaleev', 'Heinrich', 'Averbukh', 'Sabbagh', 'Donk', 'Moghadam', 'Klein', 'Agatov', 'Pendleton', 'Zhiharev', 'Lohov', 'Fakhoury', 'Franco', 'Mckay', 'Tselibeev', 'Kool', 'Tuma', 'Fedotovskih', 'Eroshevsky', 'Makhinya', 'Onishi', 'Vakulenko', 'Farr', 'Saidulaev', 'Poroshin', 'Kinder', 'Kouros', 'Nader', 'Isayan', 'Newey', 'Jankin', 'Song', 'Grushevoi', 'Boutros', 'Golofeev', 'Rakhimov', 'Alberghi', 'Gibbon', 'Inman', 'Quirk', 'Malone', 'Yakushevich', 'Sakelaris', 'Batchish', 'Tsei', 'Mochalsky', 'Gates', 'Pyshkin', 'Eimontov', 'Tihonravov', 'Anselmi', 'Vasyutin', 'Trukhin', 'Abt', 'Muijel', 'Bahar', 'Kanaan', 'Walls', 'Hadad', 'Said', 'Thomason', 'Matano', 'Campos', 'Mihashi', 'Takei', 'Shahansky', 'Bajinov', 'Tcharnetsky', 'Woodcock', 'Poggio', 'Iriye', 'Daher', 'Marquez', 'Bilias', 'Jdankin', 'Carbone', 'Bagachev', 'Chamberlain', 'Kassab', 'Danin', 'Bahar', 'Naifeh', 'Sayegh', 'Virachev', 'Leibovich', 'Jimailov', 'Aboff', 'Suero', 'Bazzi', 'Miki', 'Reveley', 'Halabi', 'Nakanishi', 'Bishara', 'Tchartorizhsky', 'Hanek', 'Haddad', 'Lihov', 'Ghannam', 'Pendik', 'Goulden', 'Shamshin', 'White', 'Dauman', 'Clay', 'Kuffel', 'Cote', 'Buxton', 'Piruzyan', 'Galkovsky', 'Said', 'Dubnitsky', 'Zhelezko', 'Roijackers', 'Chi', 'Hapitsky', 'Moshnyakov', 'Kawazu', 'Nardi', 'Frolenkov', 'Nijinsky', 'Tonks', 'Kunik', 'Shobo', 'Todorsky', 'Grodensky', 'Wojewodzki', 'Ryjy', 'Svocak', 'Novoselski', 'Abaturov', 'Mkrtchan', 'Emyshev', 'Gallinger', 'Yamanoue', 'Jeffries', 'Emile', 'Levichev', 'Abolins', 'Ohalloran', 'Fabron', 'Shamon', 'Tuikov', 'Gafarov', 'Dack', 'Mach', 'Lihovtsev', 'Lejnin', 'Okamoto', 'Sargent', 'Hramov', 'Jdankov', 'Gori', 'Khoury', 'Lorenzen', 'Polson', 'Evdoshenko', 'Jerebovich', 'Shanaurin', 'Emberey', 'Awroff', 'Warden', 'Duan', 'Alder', 'Lewitckyj', 'Buchholz', 'Haldei', 'Zherihin', 'Joss', 'Rosenberg', 'Shuai', 'Tchalyshev', 'Gilks', 'Albert', 'Hajjar', 'Leitis', 'Sarraf', 'Baba', 'Hudoleev', 'Ghanem', 'Balandin', 'Beatty', 'Shahkalamyan', 'Quraishi', 'Teshigahara', 'Zhitin', 'Biryuzov', 'Diveev', 'Bencivenni', 'Holzmann', 'Vespa', 'Boutros', 'Richter', 'Perina', 'Nielsen', 'Lygin', 'Rumisek', 'Seger', 'Scott', 'Mansour', 'Fish', 'Chukhman', 'Avilkin', 'Yusuf', 'Dankuldinets', 'Khouri', 'Kloeter', 'Lychev', 'Higgs', 'Valentinovitch', 'Callaghan', 'Avtorhanov', 'Dang', 'Lane', 'Kuwabara', 'Mikhail', 'Yatzyk', 'Flavell', 'Glagolev', 'Gribin', 'Kotara', 'Wakeham', 'Hadad', 'Zhizhchenko', 'Jackson', 'Raske', 'Yeardley', 'Dogilev', 'Poroskov', 'Krebs', 'Vourlis', 'Rooiakkers', 'Richard', 'Feeney', 'Haigh', 'Raimov', 'Kerr', 'Yudelevich', 'Sarkis', 'Katzarev', 'Pakulski', 'Wasem', 'Halyuta', 'Edley', 'Abalakoff', 'Kalihov', 'Kurogane', 'Hung', 'Valyushkis', 'Dzhugashvili', 'Watkins', 'Mandel', 'Velikorechin', 'Slazak', 'Fingrut', 'Tchekmasov', 'Jigulenkov', 'Belotsvetov', 'Jakovenko', 'Baiteryakov', 'Aird', 'Veligura', 'Srour', 'Mihalkovsky', 'Goodyear', 'Costa', 'Yakovenko', 'Weber', 'Eldeston', 'Balabuha', 'Lockie', 'Tchekhovich', 'Zhitenev', 'Sarkis', 'Kachkaev', 'Tannous', 'Tsiulev', 'Novoseltsev', 'Asker', 'Nettleton', 'Maroun', 'Gasanov', 'Shammas', 'Hurley', 'Hardaev', 'Shalamanov', 'Ridgway', 'Zhilnikov', 'Kattan', 'Babanoff', 'Colley', 'Veronesi', 'Nicoll', 'Adaikin', 'Vandalkovsky', 'Hirata', 'Valnev', 'Rapson', 'Janek', 'Visly', 'Ramos', 'Brun', 'Jadrihinsky', 'Nazari', 'Cham', 'Aqua', 'Russkih', 'Zhandr', 'Vinarov', 'Vardy', 'Morri', 'BestujevLada', 'Talvik', 'Morcos', 'Atazhahov', 'Kachanov', 'Tujilin', 'Morozov', 'Liliental', 'Alshits', 'Mindadze', 'Jaikbaev', 'Vilde', 'Andreevsky', 'Ustyujanin', 'Roach', 'Dauengauer', 'Jdan', 'Molvo', 'Sakiyaev', 'Rawsthorne', 'Tzekhmistrenko', 'Krawiec', 'Daushev', 'Vanja', 'Sniegowski', 'Kalaida', 'Zdunowski', 'Balazovski', 'Leroy', 'Kouches', 'Nascimbeni', 'Belinder', 'Mills', 'Vaiserman', 'Bishara', 'Linart', 'Walmsley', 'Sabbag', 'Baldovini', 'Dalianis', 'Ganem', 'Shalamov', 'Newsome', 'Vogel', 'Matskovsky', 'Partridge', 'Griffiths', 'Mulryan', 'Belichenko', 'Mcnamara', 'Zhadkevich', 'Marion', 'Batchev', 'Manus', 'Sleiman', 'Kalitievsky', 'Shiroyama', 'Redhead', 'Isa', 'Suaird', 'Mansour', 'Kirwin', 'Beckert', 'Dyer', 'Kachur', 'Reed', 'Bazhin', 'Remenny', 'Korandak', 'Maksimychev', 'Tsvei', 'Djikaev', 'Tannous', 'Hlebnikov', 'Vasilievsky', 'Galdus', 'Toyoshima', 'Lysyuk', 'Handal', 'Vyazmin', 'Zhuruli', 'Sakurai', 'Jivlyuk', 'Alves', 'Lejenko', 'Bimbas', 'Mitskevich', 'Serafim', 'Mikhail', 'Alshibaya', 'Poyser', 'Agahanyan', 'Elliott', 'Ma', 'Asahara', 'Ribeiro', 'Juromsky', 'Kalinnikov', 'Livingstone', 'Nader', 'Asghar', 'Helashvili', 'Kettlewell', 'Cassidy', 'Reuter', 'Poshibalov', 'Lezdinysh', 'Guketlev', 'Iseya', 'Halfin', 'Knott', 'Grohov', 'Gerber', 'Masoni', 'Line', 'Abukhov', 'Eoin', 'Haladzhan', 'Demirchyan', 'Baidakov', 'Gerig', 'Khoury', 'Averotchkin', 'Tsujimoto', 'Lebedich', 'Awerbakh', 'Jennison', 'Katsevman', 'Govyadin', 'Fominov', 'Carpenter', 'Kron', 'Chuhalov', 'Gerges', 'Pribylov', 'Webber', 'Farrell', 'Miyazaki', 'Kohl', 'Reiter', 'Illing', 'Tomioka', 'Bekhterev', 'Zambrano', 'Eihvald', 'Hayes', 'Shaiahmetov', 'Zheng', 'Bilmus', 'Jakutkin', 'Padylin', 'Vasyutinsky', 'Baer', 'Kinchin', 'Yang', 'Alman', 'Galkovsky', 'Feschenko', 'Doherty', 'Vinton', 'Kacharyants', 'Chepurenko', 'Jewett', 'Pavlyushkevich', 'Rzhanov', 'Smets', 'Ghannam', 'Velikhov', 'Pelmenev', 'Chepurkovsky', 'Zhardetsky', 'Meyer', 'Alchin', 'Hizhnyakov', 'Asghar', 'Pennington', 'Holodkovsky', 'Bazili', 'Antoun', 'Belogubov', 'Welsh', 'Mohnachev', 'Sheinfeld', 'Vilke', 'Baibakov', 'Buckley', 'Alpin', 'Pelyushenko', 'Bagaryakov', 'Shamoun', 'Lishtva', 'Utoplov', 'Usikov', 'Agranowski', 'Huffman', 'Descoteaux', 'Bakhvalov', 'Marsden', 'Moulin', 'Chuvahin', 'Doikov', 'Iskra', 'Aarle', 'Kalinochkin', 'Jagutyan', 'Rhys', 'Turoverov', 'Hadad', 'Kaglantge', 'Avdeeff', 'Allgood', 'Mullins', 'Adolf', 'Chidlow', 'Bata', 'Procter', 'Kassis', 'Berezin', 'Haptahaev', 'Mubaryakov', 'Stenger', 'Tzakunov', 'Anodin', 'Kruger', 'Davidov', 'Brousil', 'Ryzhik', 'Kinghorn', 'Cheh', 'Chehonin', 'Ageichev', 'Hodgkins', 'Hakhaev', 'Vinitsky', 'Valtuh', 'Urista', 'Cousin', 'Caplan', \"V'Yuhin\", 'Jalovoi', 'Balahovski', 'King', 'Schuchard', 'Hanzhiev', 'Dennis', 'Rzhanitsin', 'Pan', 'Oaks', 'Feng', 'Jatskevich', 'Beilis', 'Brivio', 'Vakichev', 'Pagani', 'Jevaikin', 'Minervin', 'Ghannam', 'Gonzalez', 'Maalouf', 'Corvi', 'Lewington', 'Koury', 'Tzehansky', 'Martel', 'Avchinnikov', 'Shahnarovich', 'Maher', 'Iles', 'Gerver', 'Nakata', 'Barron', 'Zelenkevich', 'Bader', 'Kubota', 'Hentov', 'Avagimoff', 'Hlestkov', 'Kasai', 'Allegro', 'Hanafiev', 'Pashkov', 'Bolcar', 'Bahovtsev', 'Dunlop', 'Ra', 'Emelianov', 'Mahnenko', 'Tseboev', 'Morishita', 'Baiguzov', 'Derrick', 'Touma', 'Lupandin', 'Issa', 'Danyushevsky', 'Lotorev', 'Gulenkov', 'Durnev', 'Arian', 'Ageenko', 'Erridge', 'Ganim', 'Jakhno', 'Palmer', 'Tuktarov', 'Isaakidis', 'Lohvitsky', 'Dikov', 'Tsarakov', 'Morcos', 'Peeters', 'Golofastov', 'Gasselblat', 'Hatkov', 'Gachev', 'Elven', 'Salvay', 'Tzagadaev', 'Neskuchaev', 'Juhov', 'Berardi', 'Tzelovalnov', 'Bickley', 'Minkov', 'Carruthers', 'Ruan', 'Zheldakov', 'Steer', 'Seif', 'Zolotenkov', 'Mcintyre', 'Aswad', 'Badich', 'Maalouf', 'Schenck', 'Poshumensky', 'Nazari', 'Tholberg', 'Dovgan', 'Donoghue', 'Nagahama', 'Maroun', 'Monahan', 'Gasilin', 'Spano', 'Qiao', 'Jan', 'Zhurman', 'Yankevich', 'Mikhail', 'Faucheux', 'Lu', 'Roth', 'Bahusov', 'Zimola', 'Researcher', 'Lilwall', 'Yoshinobu', 'Hopwood', 'Vela', 'Zhagalin', 'Shahtin', 'Tait', 'Habriev', 'Fretwell', 'Testa', 'Cao', 'Hailov', 'Abaidullin', 'Mukubenov', 'Tahan', 'Molyavin', 'Tompkin', 'Abramkov', 'Zhitukhin', 'Serak', 'Oram', 'Yanibekov', 'Names', 'Touma', 'Kabakov', 'Mersinias', 'Towle', 'Barannikov', 'Bakeev', 'Okten', 'Sakellariou', 'Lotsmanov', 'Rjavinsky', 'Zherebko', 'Nurzat', 'Altshuller', 'Zhikov', 'Balabolkin', 'an', 'Mcavoy', 'Turpyatko', 'Pelman', 'Tapscott', 'Giroux', 'Tamarchenko', 'Beloenko', 'Abarinov', 'Androhanov', 'Michalovicova', 'Julev', 'Gropyanov', 'Kolbe', 'Diefenbach', 'Amalberti', 'Tze', 'Greenshields', 'Matsyuk', 'Gorsun', 'Rahal', 'Salucci', 'Auerbach', 'Baumbach', 'Hakimi', 'Bahar', 'Ilyukhin', 'Abaimoff', 'Zhadanovsky', 'Hodorovich', 'Dzhevetsky', 'Zhimirov', 'Babikoff', 'Goldberg', 'Hatmullin', 'Mooney', 'Seif', 'Atiyeh', 'Shahlevich', 'Romeijnders', 'Harchevnikov', 'Smithson', 'Tsarev', 'Airaldi', \"Get'Man\", 'Martz', 'Chai', 'Juzeev', 'Mochalov', 'Schmitt', 'Polikanov', 'Bitar', 'Beek', 'Nizhevyasov', 'Szwarc', 'Aquila', 'Gaskell', 'Sam', 'Leibenzon', 'Najjar', 'Withers', 'Dove', 'Papadelias', 'Velikov', 'Desyatovsky', 'Zasetsky', 'Dehtyarev', 'Shamanaev', 'Jminko', 'Feldt', 'Kalganov', 'Mnatsakanyan', 'Castell', 'Atterton', 'Mahaev', 'Hachaturyan', 'Astrakhantsev', 'Chan', 'Tomjevsky', 'Seif', 'Baldinotti', 'Vedenin', 'Rotenberg', 'Zhong', 'Ageevets', 'Stubbs', 'Molokovsky', 'Gouveia', 'Raske', 'Balagul', 'Schkrebitko', 'Fowley', 'Janicek', 'Woollard', 'Jemukhov', 'Pini', 'Arian', 'Acquafredda', 'Hlopin', 'Tian', 'Davy', 'Jatzkovsky', 'Bouvet', 'Bengochea', 'Vyalushkin', 'Kalinov', 'Akechi', 'Kleid', 'Abate', 'Yakimovich', 'Gourlay', 'Minyajetdinov', 'Carty', 'Mcgill', 'Yonai', 'Bakholdin', 'Halabi', 'Hintzen', 'Kojima', 'Lileev', 'Avtchinnikov', 'Kundert', 'Otsuka', 'Rogatko', 'Haryuchi', 'Upson', 'Rahmetov', 'Okubo', 'Saidbaev', 'Kuroki', 'Virgasov', 'Nanton', 'Vajov', 'Visnapu', 'Usievich', 'Foht', 'Wraight', 'Kachalovsky', 'Vakulentchuk', 'Ryzhanov', 'Tallett', 'Jowitt', 'Zhdankin', 'Mccabe', 'Pesaro', 'Lebedyansky', 'Villa', 'Shinozaki', 'Bachuk', 'Vagnyuk', 'Kaleri', 'Ribakov', 'Chehluev', 'Mulyukov', 'Rogachev', 'Scolaidhe', 'Rice', 'Bakiev', 'Shipley', 'Hilyuk', 'Turanov', 'Pohlebkin', 'Trevor', 'Anikushin', 'Siew', 'Tihonitsky', 'Artz', 'Vitmer', 'Easton', 'Jatzenko', 'Zelenin', 'Wilchek', 'Duncan', 'Ajogin', 'Itoh', 'Poole', 'Child', 'Kessler', 'Holub', 'Paramonov', 'Belotserkovsky', 'Shen', 'Jenas', 'Shalygin', 'Lyskin', 'Tosell', 'Tzarek', 'Besschetny', 'Yufa', 'Hudiev', 'Nuridjanov', 'Dmitrov', 'Nani', 'Daher', 'Merle', 'Harman', 'Ablyakimov', 'Nahas', 'Agarkov', 'Japondych', \"O'Dell\", 'Enns', 'Harman', 'Abdrakhimov', 'Adlerov', 'Tselovalnikov', 'Bazyuta', 'Ba', 'Mifsud', 'Schultheiss', 'Barnes', 'Valden', 'Kourempes', 'Felix', 'Attia', 'Stanek', 'Haraman', 'Nuryaev', 'Andruzsky', 'Vertinsky', 'Wolfe', 'Arrowsmith', 'Walpole', 'Belik', 'Portnikov', 'Awtsin', 'Agamiroff', 'Dzhumabaev', 'Marino', 'Awad', 'Boutros', 'Hao', 'Shinozuka', 'Ukhov', 'Ganem', 'Ponkratov', 'Vipond', 'Turkestanov', 'Nakhimov', 'Pawson', 'Srour', 'Conroy', 'Bradach', 'Awtokratoff', 'Cannon', 'Cham', 'Krivan', 'Hunov', 'Yamakawa', 'Shalhoub', 'Shalganov', 'Zhbanov', 'Nasedkin', 'Khoury', 'Azhnikoff', 'Dakhov', 'Reinders', 'Bacherikov', 'Smyth', 'Green', 'Basara', 'Spitznogle', 'Pajitnov', 'Sztegon', 'Ableuhov', 'Boutros', 'Shaw', 'Skwor', 'Tahan', 'Leikisman', 'Nasrutdinov', 'Paternoster', 'Attewell', 'Pokhvoschev', 'Qureshi', 'Lafrenz', 'Vincent', 'Vygotsky', 'Okimasa', 'Haik', 'Morcos', 'Deryujkov', 'Handal', 'Anorin', 'Orchard', 'Abamelek', 'Pirsky', 'Friedrich', 'Welter', 'Lilyin', 'Collard', 'Vallins', 'Shiga', 'Shamsiev', 'Chu', 'Getling', 'Drewett', 'Rios', 'Seo', 'Wilcox', 'Jablonsky', 'Muzalevskih', 'Schepelev', 'Judanov', 'Tchekhanov', 'Handal', 'Munakata', 'Chuhanov', 'Fuentes', 'Shadid', 'Whalley', 'Mikhaltsev', 'Ojeda', 'Abraham', 'Matzkovsky', 'Zhuravliov', 'Larkings', 'Wren', 'Agdaroff', 'Farrant', 'Pakholkov', 'Vasyukevich', 'Helley', 'Tuma', 'Sneijers', 'Deeb', 'Emmins', 'Bohunovsky', 'Antoun', \"O'Doherty\", 'Nevins', 'Detsenko', 'Amelsvoort', 'Beloshapka', 'Awad', 'Makricosta', 'Sayegh', 'Fiore', 'Tovstyh', 'Sayegh', 'Iddon', 'Auzan', 'Gastfreind', 'Enikeev', 'Pugh', 'Skelly', 'Zhernosek', 'Luhvich', 'Vedeneev', 'Nezamutdinov', 'Fuwa', 'Jitarev', 'Basygysov', 'Vassilopulos', 'Hudolei', 'Wyrick', 'Vysokinsky', 'Shamrun', 'Soto', 'Rompa', 'Panek', 'Atepko', 'Raizman', 'Vilaro', 'Favre', 'Zhezhel', 'Tomlin', 'Nussbaum', 'Porto', 'Finsky', 'Bekmurzov', 'Vorogushin', 'John', 'Valyushkin', 'Delgado', 'Yafaev', 'Dakhnov', 'Tronko', 'Merckx', 'Awiloff', 'Eden', 'Agishev', 'Everdell', 'Ustinchenko', 'Astsaturov', 'Labelle', 'Martzevich', 'Raimondi', 'Seer', 'Zhurin', 'Zhiharevitch', 'Kalitinkin', 'Ametistov', 'Abakumoff', 'Michudo', 'Abuhoff', 'Adashik', 'Dzhuro', 'Gilder', 'Ropple', 'Chin', 'Kalaichev', 'Marchetti', 'Teasdale', 'Griff', 'Carling', 'Abrosoff', 'Garcia', 'Babkoff', 'Muzarev', 'Bazilevsky', 'Nader', 'Falk', 'Turyansky', 'Pendyurin', 'Visilkin', 'Atyashkin', 'Dagher', 'Newbury', 'Basara', 'Juzva', 'Vertiprahov', 'Cham', 'Behrend', 'Yuzva', 'Offermans', 'Multyh', 'Zogby', 'Neznanov', 'Gaber', 'Adomaitis', 'Donovan', 'Longley', 'Paulis', 'Luther', 'Wane', 'Zheltouhov', 'Kalekin', 'Chilvers', 'Shaihmurzin', 'Gulichev', 'Stupka', 'Masih', 'Shaimardanov', 'Rzheussky', 'Whyte', 'Marek', 'Zelenev', 'Gallego', 'Yankis', 'Tannous', 'Lestrange', 'Tankoshitsu', 'Leck', 'Likhov', 'Mustafa', 'Montana', 'Demidoff', 'Ould', 'Blakey', 'Nassar', 'Veseliev', 'Koury', 'Adams', 'Vaver', 'Kwong', 'Esin', 'Glass', 'Priymak', 'Dikansky', 'Sauvage', 'Averianoff', 'Daniels', 'Shepherd', 'Sarraf', 'Kiely', 'Mihalchev', 'Chekvin', 'Antoschin', 'Asghar', 'Pankhurst', 'Compton', 'Earl', 'Assaf', 'Falkenrath', 'Fortov', 'Turbai', 'Sharma', 'Desai', 'Ruslanov', 'Alhimenko', 'Baevski', 'Makuha', 'Larsen', 'Jebo', 'Haik', 'Spoerl', 'Mentis', 'Bildin', 'Malouf', 'Nader', 'Deyanov', 'Albero', 'Belloni', 'Behtenev', 'Hujev', 'Storr', 'Paredes', 'Naslednikov', 'Eremkin', 'Choe', 'Tzehanovich', 'Putt', 'Mikhail', 'Hubaev', 'Brambani', 'Zimovets', 'Ashford', 'Mordkin', 'Santiago', 'Tinkler', 'Agudov', 'Zhashkov', 'Dmohovsky', 'Yahot', 'Jerikhin', 'Macfarlane', 'Doors', 'Russell', 'Jefford', 'Jatzkov', 'Awad', 'Kazuyoshi', 'Britton', 'Bakkarevich', 'De leon', 'Isachenok', 'Kamata', 'Choi', 'Abramenkoff', 'Anisemenok', 'Ambrose', 'Anisovich', 'Yuditsky', 'Chukhnovsky', 'Paisley', 'Valdes', 'Lowes', 'Parks', 'Baidak', 'Baba', 'Westlake', 'Komine', 'Averchev', 'Bakhmetiev', 'Samaha', 'Veprik', 'Paszek', 'Pena', 'Bower', 'Mears', 'Nosihin', 'Haddad', 'Jarmuhamedov', 'Poggi', 'Roscoe', 'Brady', 'Dakhno', 'Shirahata', 'Bitar', 'Wiltshire', 'Omelichev', 'Iitaka', 'Breda', 'Shamoun', 'Jevons', 'Trapani', 'Awrus', 'Abih', 'Goodridge', 'Finch', 'Baasch', 'Vinchevsky', 'Vitorsky', 'Bakanoff', 'Alker', 'Richard', 'Chevrolet', 'Ghanem', 'Koumanidis', 'Wintersgill', 'Khan', 'Macintyre', 'Hizhny', 'Zhurikhin', 'Lacey', 'Bestujev', 'Jarovtsev', 'Jmulev', 'Jilenkov', 'Djatiev', 'Multakh', 'Beltz', 'Kamisaka', 'Uzhvak', 'Lawton', 'Mcbain', 'Prokudin', 'Moller', 'Finnegan', 'Mints', 'Tihonchuk', 'Attia', 'Addinall', 'Handzhaevsky', 'Shadid', 'Albert', 'Molochnikov', 'Borovka', 'Dublin', 'Drozdkov', 'Rana', 'Lappo', 'Trickett', 'Voronihin', 'Ontikov', 'Travill', 'Tudorovsky', 'Pennders', 'Yakushov', 'Azarola', 'Seif', 'Vilkov', 'Messana', 'Shakhurov', 'Evstigneev', 'Boutros', 'Poon', 'Tupikin', 'East', 'Petrakis', 'Shelting', 'Jurko', 'Powles', 'Gerges', 'Jakubonis', 'Hait', 'Baines', 'Harger', 'Zitev', 'Qureshi', 'Shinko', 'Okita', 'Stewart', 'Eberling', 'Adibekoff', 'Bazzi', 'Amari', 'Heaton', 'Batchuk', 'Ukhtomsky', 'Lewin', 'Vil', 'Baklan', 'Zhigunov', 'Blackburn', 'Rohlin', 'Leverenz', 'Gerges', 'Arthur', 'Tovstonogov', 'Fazleev', 'Nazari', 'Golovanyov', 'Awad', 'Mizumaki', 'Worner', 'Gulenko', 'Hodgson', 'Yalovets', 'Cabrera', 'Said', 'Kartajev', 'Viliev', 'Alfaro', 'Hadad', 'Atopov', 'Didevich', 'Ellingham', 'Attia', 'Corna', 'Robustelli', 'Hajjar', 'Yeates', 'Terada', 'Yablontsev', 'Vedyakin', 'Jegunov', 'Shamon', 'Jiryakov', 'Debenham', 'Aodha', 'Vinci', 'Belchikov', 'Svejda', 'Martynenkov', 'Abyzgiddin', 'Regenbogen', 'Zharnov', 'Searle', 'Dagher', 'Adsett', 'Twigg', 'Rodden', 'Tikhin', 'Samaha', 'Agibaloff', 'Mustafa', 'Yahin', 'Worth', 'Zenin', 'Talzi', 'Grygarova', 'Silverstein', 'Keller', 'Barber', 'Morev', 'Totah', 'Attia', 'Utyashev', 'Jamskov', 'Adamishin', 'Winther', 'Gleeson', 'Tzaliev', 'Groundon', 'Krusen', 'Rovkov', 'Hammond', 'Alybin', 'Desyatchikov', 'Mifsud', 'Kassab', 'Botros', 'Spinks', 'Jurbenko', 'Doble', 'Portelli', 'Michkov', 'Birin', 'Badalyants', 'Roma', 'Gerhardt', 'Jidomirov', 'Wilkinson', 'Tannous', 'Odam', 'Pavkin', 'Balakin', 'Ustimkin', 'Jiharev', 'Rousses', 'Bairashewsky', 'Horkin', 'Pohojaev', 'Zhuk', 'Mifsud', 'Vanchugov', 'Gagarinov', 'Elling', 'AuYong', 'Royer', 'Hatagov', 'Vagarshyan', 'Harb', 'Ekin', 'Fordham', 'Lyrschikov', 'Christakos', 'Abatangelo', 'Attia', 'Suess', 'Bazhov', 'Higo', 'Bagration', 'Zasulich', 'Shamshurov', 'Lozin', 'Stanfield', 'Marquering', 'Nader', 'Winograd', 'Tovuu', 'Koshin', 'Teterkin', 'She', 'Haitov', 'Daley', 'Cowie', 'Aderihin', 'Zhitomirsky', 'Frush', 'Lawlor', 'Andrew', 'Andreev', 'Ron', 'Edmundson', 'Yakob', 'Galvin', 'Maier', 'Karteshkin', 'Pei', 'Abdulrakhmanoff', 'Awduewsky', 'Berti', 'Avrutsky', 'Nahas', 'Lizorkin', 'Handal', 'Lines', 'Tangeman', 'Isa', 'Oates', 'Khouri', 'Pazi', 'Bakhmetoff', 'Shammas', 'Frame', 'Hanraets', 'Gomolka', 'Leake', 'Kabirov', 'Roach', 'Vinsgeim', 'Wan', 'Mojzis', 'Yamaha', 'Gulkin', 'Hagias', 'Halle', 'Tsvelyukh', 'Klein', 'Tsvelihovsky', 'Eade', 'Ko', 'Oloughlin', 'Shaimiev', 'Bahmetov', 'Shalikov', 'Belov', 'Mihailenko', 'Sacco', 'Poretzky', 'Deribo', 'Templeman', 'Neale', 'Awash', 'Samaha', 'Ping', 'Geftler', 'Maksimchikov', 'Kats', 'Vilson', 'Warrington', 'Jvachkin', 'Birkin', 'Fominyh', 'Luo', 'Peleev', 'Arian', 'Faen', 'Nurhamitov', 'Vaigant', 'Millington', 'Conneely', 'Castro', 'Jagich', 'Toru', 'Salib', 'Najjar', 'Kan', 'Nandi', 'Galler', 'Kallash', 'Peisar', 'Robe', 'Abaloff', 'Torrens', 'Alianov', 'Getman', 'Bahshiev', 'Zhebryakov', 'Dizhin', 'Bazzi', 'Whitelaw', 'Wainwright', 'Sassa', 'Aderson', 'Zasypkin', 'Huramshin', 'Valentinov', 'Tchaganov', 'Hublaryan', 'Bazilev', 'Sarkis', 'Wise', 'Vylomov', 'Deforest', 'Bazovski', 'Assaf', 'Babyuk', 'Vlasevich', 'Rahal', 'Hakimi', 'Chou', 'Chapko', 'Zhirenkin', 'Yin', 'Sakai', 'August', \"O'Keefe\", 'Evstifeev', 'Dirchs', 'Wasem', 'De campo', 'Zozulya', 'Exley', 'Makhov', 'Rahal', 'Abulkhanoff', 'Henry', 'Travers', 'Levitsky', 'Salib', 'Abano', 'Tallat', 'Sepelev', 'Althuis', 'Yasuda', 'Mansour', 'Piccirillo', 'Jennson', 'Obando', 'Awtchinnikoff', 'Boulton', 'Vystavkin', 'Freud', 'Botros', 'Sayegh', 'Gomez', 'Corrigan', 'Yagutyan', 'Jiganov', 'Finchuk', 'Shahanov', 'Paschalis', 'Victors', 'Mikhailjuk', 'Jalunin', 'Averianov', 'Damhain', 'Deulenko', 'Nizhegorodov', 'London', 'Zheronkin', 'Jagalin', 'Degarmo', 'Aves', 'Valtchuk', 'Borland', 'Planick', 'Vedischev', 'Abadi', 'Yokoyama', 'Jestovsky', 'Nassar', 'Waterhouse', \"O'Rourke\", 'Nishio', 'Gladchenko', 'Vyatkovsky', 'Sabbagh', 'Howe', 'Handjaevsky', 'Ezakiya', 'Obolonsky', 'Scheinberg', 'Paikin', 'Marugo', 'Warby', 'Gribenkin', 'Kouri', 'Piskovoy', 'Jitinev', 'North', 'Simmons', 'Nurgalin', 'Zhivago', 'Ishiyama', 'Halatyan', 'Wiegand', 'Tokarev', 'Jeltouhov', 'Bedford', 'Abboud', 'Favero', 'Friedrich', 'Tukabaev', 'Baushev', 'Basara', 'Chusovitin', 'Noguchi', 'Babayan', 'Fermi', 'Tihonkih', 'Tsaliev', 'Balabukha', 'Vann', 'Flynn', 'Makukhin', 'Tsai', 'Karkampasis', 'Vanetchkin', 'Ciurlionis', 'Aston', 'Belogorsky', 'Fadyaev', 'Palfreyman', \"O'Brien\", 'Mikhailov', 'Schepotyev', 'Haluev', 'Lozhkin', 'Andrushko', 'Date', 'Brezovjak', 'Kaspar', 'Safar', 'Berg', 'Hatton', 'Ongaro', 'Dobritsky', 'Kenny', 'Belshtein', 'Durante', 'Barankin', 'Doughty', 'Nahas', 'Abdulhabiroff', 'Imniaminov', 'Chicken', 'Porublev', 'Pitersky', 'Gianakopulos', 'Petri', 'Duronov', 'Hodges', 'Kay', 'Bartlett', 'Ma', 'Narvaez', 'Mahnev', 'Oldham', 'Atamanenko', 'Fenton', 'Veledeev', 'Caro', 'Bakaleiko', 'Trampota', 'Deans', 'Bellandini', 'Dowson', 'Artyushkov', 'Mikhail', 'Armsden', 'Islyamov', 'Zhovtyak', 'Marhinin', 'Roberts', 'Kearns', 'Wong', 'Yablonowsky', 'Baigildeev', 'Hanenya', 'Bekhtold', 'Bagritch', 'Oxley', 'Gorst', 'Zoloev', 'Davlyatov', 'Cino', 'Tracey', 'Mcmillan', 'Kikutake', 'Dobrotvorsky', 'Espley', 'Luppov', 'Zhurbenko', 'Nevitsky', 'Ashbrook', 'Sheppard', 'Jelyabujsky', 'Prigojin', 'Shakhmagon', 'Maksumov', 'Baiguloff', 'Bleskan', 'Okey', 'Andreichuk', 'Awakoff', 'Angioli', 'Vinchugov', 'Graham', 'Koyama', 'Vinidiktov', 'Treble', 'Roig', 'Pian', 'Dominguez', 'Guirguis', 'Stout', 'Fukushima', 'Nelmes', 'Schuhart', 'Zee', 'Dagher', 'Matoke', 'Ganem', 'Gallchobhar', 'Vanyukov', 'Chekis', 'Mifsud', 'Devine', 'Upjohn', 'Han', 'Ingle', 'Duffield', 'Roche', 'Dzhankezov', 'Tahan', 'Boveri', 'Vassilikos', 'Dubrouski', 'Avtonomov', 'Kanaan', 'Tumunbayarov', 'Balakleevski', 'Gaber', 'Nahabtsev', 'Hludov', 'Harlow', 'Shadid', 'Shamon', 'Toma', 'Finn', 'Jugai', 'Uboshita', 'Amari', 'Malouf', 'Geng', 'Accardo', 'Caomh', 'Derunov', 'Dunkley', 'Pochkin', 'Aloia', 'Nejdanov', 'Mohnatkin', 'Gavrilopoulos', 'Yahnyuk', 'Ohka', 'Katz', 'Philips', 'Ewart', 'Amari', 'Gramatke', 'Chun', 'Agayants', 'Schepatov', 'Gravari', 'Dobrynsky', 'Agresta', 'Nezlin', 'Privett', 'Lihachev', 'Assaf', 'Gulaya', 'Leipunsky', 'Galkov', 'Trukhachev', 'Lichkun', 'Lightfoot', 'Nasibullaev', 'Haddad', 'Whittaker', 'Umney', 'Smallwood', 'Portner', 'Giles', 'Anin', 'Makin', 'Fearn', 'Eijvertin', 'Bazilevich', 'Jbankov', 'Nannini', 'Nahapetov', 'Agoshkoff', 'Basara', 'Rowlinson', 'Rothenberg', 'Matejka', 'Caro', 'Charge', 'Ganem', 'Sabbagh', 'Fakhoury', 'Valk', 'Hand', 'Derkovsky', 'Cuidightheach', 'Jakunchikov', 'Adelhanoff', 'Gaber', 'Hunter', 'Hamikoev', 'Fortier', 'Worsnop', 'Wooldridge', 'Granov', 'Schebrov', 'Agibalov', 'Elentuh', 'Yanovich', 'Rovinsky', 'Barnett', 'Lynch', 'Andreichenko', 'Kalistratov', 'Osullivan', 'Tansho', 'Evald', 'Tresler', 'Dobbin', 'Bibichev', 'Luppa', 'Rutherford', 'Inoue', 'Kimio', 'Adzhemov', 'Shibata', 'Grivet', 'Asfandiyarov', 'Birentsveig', 'Khoury', 'Gunston', 'Gabrielli', 'Gray', 'Lapkin', 'Jaffray', 'Gasho', 'Abertasov', 'Jeltov', 'Baba', 'Chisholm', 'Sweeney', 'Selvaggio', 'Durand', 'Talitskikh', 'Koberna', 'Halkiopov', 'Crisp', 'Khoury', 'Tahan', 'Entwistle', 'Shuo', 'Aswad', 'Agliullin', 'Gladtsin', 'Morita', 'Ianson', 'Bakshandaev', 'Iggleden', 'Dolcy', 'Abbadelli', 'Zasosov', 'Jirovy', 'Turke', 'Silveira', 'Dyde', 'Langlois', 'Braithwaite', 'Amor', 'Jidkin', 'Bassani', 'Zogby', 'Herodes', 'Whelan', 'Tokarchuk', 'Zhurba', 'Konig', 'Hemingway', 'Michel', 'Assaf', 'Tannous', 'Pillar', 'Mohammed', 'Heather', 'Valentini', 'Glagolevskii', 'Uzov', 'Pyjiev', 'Yachikov', 'Khouri', 'Kabysh', 'Haupt', 'Norbury', 'Palfrey', 'Fearon', 'Hadad', 'Chernovol', 'Kenneth', 'Tyrer', 'Corr', 'Zasursky', 'Veprentsov', 'Mukaseev', 'Hanek', 'Fedotkin', 'Noguerra', 'Tihonov', 'Opizka', 'Troinin', 'Jandiev', 'Dobronos', 'Mitzusaka', 'Mndjoyan', 'Jankis', 'Hosokaya', 'Asch', 'Egarmin', 'Hassani', 'Hidiyatullin', 'Juhanaev', 'Groer', 'Fletcher', 'Kwang', 'Privalov', 'Mihalkov', 'Vyguzov', 'Morjin', 'Andryuschenko', 'Abashev', 'Wallace', 'Kilford', 'Rjeshevsky', 'Kirk', 'Glagolevsky', 'Adamson', 'Shamraev', 'Agababov', 'Zharuev', 'Rogachevsky', 'Sakata', 'Bowler', 'Turukhin', 'Silvestri', 'Saliba', 'Mustafa', 'Anscombe', 'Stocker', 'Essa', 'Labriola', 'Gerges', 'Pickersgill', 'Robins', 'Vyazankin', 'Elliston', 'Yakhno', 'Hahn', 'Raifeld', 'Zheltyannikov', 'Balabaev', 'Kerr', 'Kalinovsky', 'Rompaij', 'Muso', 'Lajintsev', 'Bevan', 'Awtomovich', 'Astrakhankin', 'Safar', 'Jeravin', 'Jin', 'Lebedintsev', 'Yasuhiro', 'Kennedy', 'Vertkin', 'Whittley', 'Valentine', 'Tulinov', 'Sneijer', 'Abakovsky', 'Michalaras', 'Aswad', 'Tikhonov', 'Shalagin', 'Halabi', 'Handal', 'Seif', 'Driscoll', 'Mustafa', 'Zhmakov', 'Young', 'Karameros', 'Walton', 'Valmus', 'Agabekov', 'Hanania', 'Troitsky', 'Youlden', 'Ibi', 'Duvall', 'Jigarev', 'Dinh', 'Adelung', 'Belinskij', 'Attard', 'Stanton', 'Jordison', 'Guldreih', 'Handal', 'Totah', 'Horoshiltsev', 'Otomo', 'Gardner', 'Hickman', 'Kachurin', 'Juikov', 'Turmilov', 'Horujenko', 'Horoshevsky', 'Vedyaskin', 'Amerhanov', 'Movchun', 'Dell', 'Moran', 'Molodchinin', 'Nifterik', 'Andrusov', 'Nelissen', 'Thorndyke', 'Jakunin', 'Vogt', 'Chu', 'Haladjan', 'Balahontsev', 'Wrightson', 'Antonopoulos', 'Shamoun', 'Harabornikov', 'Moss', 'Seymour', 'Itagaki', 'Moloshnikov', 'Jupikov', 'Niall', 'Tulchinsky', 'Veligjanin', 'Sarraf', 'Eaton', 'Hummel', 'Averichkin', 'Saji', 'Ladyjnikov', 'Franks', 'Ebbs', 'Allegri', 'Sokolowski', 'Devlin', 'Vannovsky', 'Duffin', 'Giehl', 'Cham', 'Almasi', 'Kowalczyk', 'Sotiris', 'Perrett', 'Mustafa', 'Bakhmutov', 'Shamonin', 'Tchekharin', 'Galenkovsky', 'Atiyeh', 'Yanushevsky', 'Patenaude', 'Leibe', 'Otain', 'Roijakker', \"Dar'Kin\", 'Bakusoff', 'Garland', 'Mordashov', 'Shadursky', 'Vilmont', 'Bezuglov', 'Zhimulev', 'Takamura', 'Tumbakov', 'Verushkin', 'Pribylsky', 'Sauveterre', 'Uzdenov', 'Shadid', 'Souza', 'Nuruchev', 'Engalychev', 'Lejankov', 'Tseluiko', 'Leiberov', 'Parrino', 'Mikhailyuk', 'Minyaichev', 'Fairlie', 'Baturov', 'Rekemchuk', 'Frolovsky', 'Baba', 'Hurst', 'Awkhimovitch', 'Ozaki', 'Bahturin', 'Daher', 'Mihailovich', 'Takewaki', 'Aboimov', 'Dittmar', 'Lam', 'Bustos', 'Slivka', 'Tell', 'Hoyle', 'Daher', 'Avksentievski', 'Uemov', 'Zenzinov', 'Albov', 'Najjar', 'Oddie', 'Ilyutenko', 'Vasianov', 'Tikhonchuk', 'Roome', 'Abeltsev', 'Zhdakaev', 'Amstel', 'Jechkov', 'Aganbegyan', 'Valiullin', 'Tzeitlin', 'Balanovsky', 'Leimon', 'Pakhtanov', 'Shirinyan', 'Adelhanyan', 'Horalya', 'Antonopoulos', 'Vakar', 'Ajnikoff', 'Saifulin', 'Truhnin', 'Galoganov', 'Mai', 'Bahovkin', 'Gallo', 'Cockburn', 'Bond', 'Potsyapun', 'Pakhomov', 'Bajukov', 'Pistolkors', 'Brock', 'Enman', 'Avetisov', 'Harman', 'Mahonin', 'Nelyubov', 'Sparacello', 'Govallo', 'Vyshemirsky', 'Harrington', 'Whitehouse', 'Valdaev', 'Dzhatiev', 'Meeuwsen', 'Tsehanovich', 'Stevens', 'Pehterev', 'Batsman', 'Blanc', 'Tugov', 'Zhatkov', 'Tzapelik', 'Lagomarsino', 'Dmokhovsky', 'Clineburg', 'Haik', 'Hadad', 'Chiba', 'Valdman', 'Shakhmin', 'Snelling', 'Rot', 'Jmakin', 'Vilyunas', 'Sechnall', 'Dobrushin', 'Jarkovsky', 'Guzevatov', 'Cham', 'Tsvetaev', 'Tzahilov', 'Timms', 'Chuhraev', 'Harb', 'Batsev', 'Esaulov', 'Bakmeister', 'Jiao', 'Hepples', 'Gutermuth', 'Lapin', 'Zhdanov', 'Dzhanibekov', 'Veasey', 'Penzin', 'Patzyna', 'Kalb', 'Tropko', 'Ganim', 'Kuga', 'GorbunovPosadov', 'Shakhvorostov', 'Lawson', 'Gansky', 'Aucciello', 'Auton', 'Abdulkhabiroff', 'Astle', 'Elworthy', 'Jinkin', 'Salib', 'Kelsall', 'Ilyushin', 'Titmuss', 'Jakubenko', 'Viselov', 'Paraskun', 'Rosso', 'Lennox', 'Salazar', 'Adabashian', 'Vellansky', 'Plotnicky', 'Fakhoury', 'Tchekhluev', 'Bishara', 'Lossky', 'Hattori', 'Yujenko', 'Onischuk', 'Yushkin', 'Algar', 'Ton', 'Ironmonger', 'Boutros', 'Kirkwood', 'Abbing', 'Kawate', 'Awertchenko', 'Morcos', 'Akamatsu', 'Zheglov', 'Sciarra', 'Lepihov', 'Awad', 'Echevarria', 'Abboud', 'Jelvakov', 'Jadrennikov', 'Wasem', 'Babadzhanyan', 'Oboldin', 'Jivilo', 'Chuvilkin', 'Guirguis', 'Tow', 'David', 'Klerk', 'Muzykantov', 'Yakovchuk', 'Asghar', 'Layton', 'Hasyanov', 'Antoun', 'Hatukaev', 'Yoshimatsu', 'Golostenov', 'Vertkov', 'Avetisyan', 'Munster', 'Gujavin', 'Unruh', 'Pismanik', 'Sawamura', 'Kartoziya', 'Castro', 'Gatiyatullin', 'Hrdy', 'Galev', 'Dzhemilev', 'Harley', 'Tsuchie', 'Hanifatullin', 'Minitsky', 'Anzimirov', 'Moletotov', 'Bazarov', 'Fallon', 'Baklagin', 'Gafin', 'Jelezovsky', 'Ustynyuk', 'Whittingham', 'Traversini', 'Totah', 'Pole', 'Dardenne', 'Kalievsky', 'Awad', 'Yuzhenko', 'Said', 'Fakhoury', 'Bazzi', 'Jagafarov', 'Onufriev', 'Baichikov', 'Faucher', 'Janitsky', 'Valencia', 'Vyalyh', 'Halyavin', 'Tsumemasa', 'Tugarov', 'Jessop', 'Tobias', 'Kaye', 'Omarov', 'Salib', 'Finik', 'Killock', 'Hoch', 'Awdeenko', 'Bishara', 'Shamoon', 'Nezametdinov', 'Dobrjansky', 'Demihov', 'Hwang', 'Kann', 'Jirnikov', 'Haddad', 'Endzelin', 'Gonzalez', 'Mulyarchik', 'Mihnev', 'Mitsuwa', 'Herheulidzev', 'Hariton', 'Tovarovsky', 'Pyslar', 'Timson', 'Bellerose', 'Anakin', 'Wahner', 'Balashov', 'Bagishaev', 'Golovaty', 'Westwood', 'Pfenning', 'Binnington', 'Balakaev', 'Jankovsky', 'Wasem', 'Boulos', 'Hadfield', 'Czajkowski', 'Viner', 'Dovjuk', 'Jupp', 'Jarihin', 'Gulley', 'Silcock', \"O'Mooney\", 'Zukerman', 'Vines', 'Lange', 'Vasyaev', 'Shamoun', 'Fyall', \"D'aramitz\", 'Thistlethwaite', 'Cosgrove', 'Juravsky', 'Danilyak', 'Likhodeev', 'Zhamoida', 'Szczepanski', 'Piskotin', 'Kau', 'Chugainov', 'Ha', 'Adarchenko', 'Baidalin', 'Tumarkin', 'Poniros', 'Oleary', 'Bilenko', 'Robinson', 'Jivotenko', 'Onufrienko', 'Esennikov', 'Mcguire', 'Kerrigan', 'Toomey', 'Bilov', 'Atalikov', 'Bahmutsky', 'Timakov', 'Turchenko', 'Bakhtchivandji', 'Quattrocchi', 'Shenk', 'Hutchins', 'Freight', 'Zhulidov', 'Velikih', 'Lgov', 'Rainey', 'Bazowski', 'Egorov', 'Naifeh', 'Gorbach', 'Abboud', 'Sabbag', 'Atiyeh', 'Pytel', 'Bakhchivandzhi', 'Patrick', 'Matsak', 'Murogov', 'Valtchitski', 'Jewitt', 'Shimamura', 'Santana', 'Poninsky', 'Keelan', 'Hakimi', \"En'Ko\", 'Kenley', 'Grzeskiewicz', 'Macarthur', 'Nourse', 'Feigenbaum', 'Shimazu', 'Gaber', 'Abulmambetov', 'Hanzhonkov', 'Lyzhin', 'Mihalkov', 'Egides', 'Vavra', 'Shiraishi', 'Shand', 'Spears', 'Lidval', 'Qureshi', 'Picha', 'Lander', 'Laurie', 'Mcfarlane', 'Amesbury', 'Hills', 'Kalin', 'Kawasie', 'Gaur', 'Hiraki', 'Zavodov', 'Kassis', 'Schultheis', 'Hautiev', 'Gales', 'Agzamov', 'Glockner', 'Gerasimovsky', 'Maksimovsky', 'Jamov', 'Mintskovsky', 'Mcdougall', 'Arapov', 'Renov', 'Lupanenko', 'Kassis', 'Molochko', 'Bakuridze', 'Eroshkevich', 'Jakovkin', 'Yamanaka', 'Arian', 'Copland', 'Honjas', 'Obolensky', 'Handal', 'Shakhnazarov', 'Matsuev', 'Shalhoub', 'Zogby', 'Avtomovich', 'Paquet', 'Glusov', \"O'Mahony\", 'Babakhanov', 'Aswad', 'Jikharevitch', 'Mingazetdinov', 'Lupenko', 'Mahro', 'Pechenin', 'Keefe', 'Igarashi', 'Nutella', 'Szweda', 'Shakh', 'Zogby', 'Bekhtenev', 'Andryunin', 'Galliford', 'Lozivets', 'Yakubonis', 'Guldenbalk', 'Tselovalnov', 'Pedley', 'Wickham', 'Babanin', 'Entov', 'Pajinsky', 'Chao', 'Ogtrop', 'Yoo', 'Stephens', 'Ohara', 'Danyarov', 'Hakimi', 'Antonchenkov', 'Kerby', 'Researcher', 'Chihanchin', 'Atterbury', 'Leiba', 'Kolt', 'Krantz', 'Kidner', 'Hamatov', 'Chijov', 'Berger', 'Balakhontsev', 'Jivokini', 'Sabbagh', 'Zogby', 'Kaletsky', 'Hadjiyianakies', 'Avramov', 'Truong', 'Wood', 'Krakowski', 'Bakhin', 'Lebedinets', 'Minyaev', 'Tchehladze', 'Sato', 'BeknazarYuzbashev', 'Ahern', 'Almasi', 'Rettig', 'Otoole', 'Adroff', 'Tapping', 'Zholudev', 'Harkin', 'Likhtenshtein', 'Muyskens', 'Sparrow', 'Shamoon', 'Shahvorostov', 'Fertig', 'Mokshin', 'Bah', 'Hijnyak', 'Tchekh', 'Oh', 'Twine', 'Mifsud', 'Hood', 'Sheludchenko', 'Nozara', 'Mifsud', 'Jilkin', 'Velovsky', 'Yufit', 'Ho', 'Zhalilo', 'Schuyler', 'Baikalov', 'Knopf', 'Mokin', 'Ferreiro', 'Vantorin', 'Abramowich', 'Oishi', 'Naizer', 'Eikhengolts', 'Mkervali', 'Mihalsky', 'Tolbert', 'Dubenkov', 'Smith', 'Riley', 'Bekoryukov', 'Sabbag', 'Munin', 'Holboev', 'Kubin', 'Sugitani', 'Rothery', 'Wasem', 'Murakami', 'Asghar', 'Gorbovsky', 'Soucek', \"Hachatur'Yan\", 'Pander', 'Kabaloev', 'Murkami', 'Nadvornizch', 'Makhalov', 'Buonarroti', 'Atabekyan', 'Doev', 'Abbas', 'Kalb', 'Samaha', 'Zhorov', 'Yukhnev', 'Yakobson', 'Yau', 'Darkshevich', 'Wang', 'Vavakin', 'Wyatt', 'Kashiwagi', 'Long', 'Gauntlett', 'Yatzun', 'Avrorin', 'Tahan', 'Hudainatov', 'Gaber', 'Chijikov', 'Bakadoroff', 'Shalonin', 'Zhukovsky', 'Nutman', 'Belous', 'Pateman', 'Chutko', 'Mullayanov', 'Islamov', 'Sleiman', 'Albinesku', 'Russon', 'Deryugin', 'Andersson', 'Fakhoury', 'Grenard', 'Quraishi', 'Arsky', 'Djejela', 'Luker', 'Jahlakov', 'Ryjak', 'Panayiotopoulos', 'Regent', 'Flett', 'Dobryakov', 'Quirke', 'Broz', 'Mansfield', 'Sciacca', 'Cham', 'Brooks', 'Pooke', 'Koury', 'Jogov', 'Shalashov', 'Goodchild', 'Register', 'Lykhin', 'Mann', 'Won', 'Palomer', 'Davidson', 'Yudushkin', 'Awerkowich', 'Ruzhilo', 'Ponafidin', 'Zhura', 'Chutchenko', \"O'Hanlon\", 'Kabaev', 'Seredavin', 'Marushkin', 'Sotomura', 'Evstafiev', 'Fiedler', 'Gruschak', 'Yokokawa', 'Engibarov', 'Anzonger', 'Chu', 'Vedyaev', 'Cruz', 'Sinclair', 'Shamoun', 'Kaibara', 'Avdakov', 'Awzaloff', 'Said', 'Chuhnovsky', 'Eihmans', 'Otake', 'Edgson', 'Pelih', 'Truhachev', 'Andreli', 'Abboud', 'De fiore', 'Karahalios', 'Gudymo', 'Attrill', 'Letsos', 'Lakin', 'Chin', 'Roche', 'Ustvolsky', 'Shahnazarov', 'Teale', 'Antar', 'Takekawa', 'Baldwin', 'Mozharov', 'Travieso', 'Utagawa', 'Zimarev', 'Myatt', 'Tsenkovsky', 'Esipenko', 'Zenchenko', 'Comtois', 'Fakhoury', 'Aitchison', 'Richman', 'Mikhel', 'Moshkovsky', 'Kellems', 'Balakhonoff', 'Jackson', 'Chavez', 'Kartyshov', 'Koo', 'Rukhlyadko', 'Kalashnik', 'Abramowitch', 'Yallop', 'Hotimsky', 'Djanumov', 'Zolotkov', 'Abegyan', 'Kendall', 'Zinkovsky', 'Belitsky', 'Bazulin', 'Pell', 'Rotolo', 'Awdiyants', 'Ponosov', 'Mochutkovsky', 'Maroun', 'Gaudin', 'Haber', 'Ghannam', 'Moreno', 'Maria', 'Mndoyants', 'Mendez', 'Dagher', 'Maessen', 'Dehtyarenko', 'Armbruster', 'Mihalevich', 'Mazuka', 'Clegg', 'Koury', 'Giang', 'Bassi', 'Ganem', 'Marshalko', 'Pender', 'Paternoster', 'Antar', 'Katzman', 'Bateman', 'Bakhtadze', 'Daher', 'Kassell', 'Xie', 'Eides', 'Airey', 'Yukhtanov', 'Yablovsky', 'Evelson', 'Qiu', 'Fowler', 'Rovensky', 'Paul', 'Altshuler', 'Lygach', 'Sasada', 'Devin', 'Balabanov', 'Getsen', 'Tahan', 'Ling', 'Yampolsky', 'Kohl', 'Varey', 'Awdakoff', 'Safar', 'Boyle', 'Delaney', 'Isoda', 'Habitsov', 'Nassar', 'Bader', 'Durakov', 'Elensky', 'Inihara', 'Ghannam', 'Weichert', 'Ughi', 'Atyurievsky', 'Hayden', 'Were', 'Guzeev', 'Seredohov', 'Asfour', 'Lendon', 'Assaf', 'Fairclough', 'Ocaskova', 'Cavey', 'Turik', 'Jakhnyuk', 'Charykov', 'Hunagov', 'Yudashkin', 'Gaspar', 'Jilnikov', 'Antar', 'Bitar', 'Cantu', 'Breda', 'Meng', 'Ashwell', 'Mccluskey', 'Samz', 'Kassis', 'Hay', 'Abrikosoff', 'Bertsimas', 'Badersky', 'Haddad', 'Homer', 'Jennings', 'Ashman', 'Enikolopov', 'Zhurkov', 'Baklastoff', 'Wasem', 'Rahal', 'Hamidullin', 'Goble', 'Valyaev', 'Payne', 'Vaikule', 'Pieha', 'Jeffcock', 'Trollope', 'Homar', 'Holzer', 'Doi', 'Lombardi', 'Handal', 'Baitchenko', 'Reid', 'Ruhimovich', 'Lokhanin', 'Nuraliev', 'Sarraf', 'Mokievsky', 'Salter', 'Kerper', 'Deeb', 'Nyrtsev', 'Hanevich', 'Vingranovsky', 'Abulkhanov', 'Grady', 'Zhidilin', 'Fitzgerald', 'Adam', 'Jurov', 'Ryzhikov', 'Franke', 'Anuchin', 'Deryabkin', 'Inukai', 'Tovma', 'Kachainik', 'Coghlan', 'Kassis', 'Waring', 'Sarkis', 'Eglevsky', 'Gaertner', 'Jaba', 'Yudolovich', 'Wasem', 'Badov', 'Lyjenkov', 'Chugunov', 'Visloguzov', 'Endo', 'Vilutis', 'Avtorkhanov', 'Yuhnev', 'Kawasaki', 'StrakaO', 'Kucera', 'Hannanov', 'Travers', 'Dnishev', 'Pecherkin', 'Horn', 'Vyakhirev', 'Agramov', 'Awhadieff', 'Anofriev', 'Jarvis', 'Strohkirch', 'Birch', 'Chepin', 'Gribalev', 'Zharov', 'Iskrov', 'Rose', 'Mukanov', 'Aberquero', 'South', 'Hang', 'Bilyaev', 'Govorun', 'Koukal', 'Goebel', 'Bisset', 'Obrien', 'Baev', 'Zavrajnov', 'Baimakoff', 'Paisar', 'Shakhlin', 'Zhevakhov', 'Burland', 'Anikiev', 'Pechinin', 'Tanizaki', 'Harb', 'Isadjanov', 'Soares', 'Momdjyan', 'Fukuzawa', 'Belotsitsky', 'Dougherty', 'Zhakov', 'Botros', 'Baba', 'Isa', 'Shah', 'Tokaji', 'Malouf', 'Jivulin', 'Lysansky', 'Baiburski', 'Eggby', 'Russkikh', 'Maroun', 'Fabri', 'Awelicheff', 'Wolf', 'Lischuk', 'Govorkov', 'Grossgeim', 'Kawagishi', 'Shaidurov', 'Shamoon', 'Skomicka', 'Mahovikov', \"En'Kov\", 'Gasinov', 'Muromtsov', 'Ryzhih', 'Davidzon', 'Abelli', 'Agnelli', 'Eretsky', 'Yankov', 'Zhemaitis', 'Townend', 'Katznelson', 'Harlinsky', 'Parensov', 'Hishida', 'Tzai', 'Hakimi', 'Handal', 'Ozu', 'Ly', 'Haitsin', 'Islam', 'Hubutiya', 'Emanov', 'Viridarsky', 'Staska', 'Uzky', 'Elkington', 'Garratt', 'Amari', 'Caton', 'Bull', 'Bavykin', 'Wiggins', 'Tsalaban', 'Sung', 'Ohmae', 'Saliba', 'Golohvastov', 'Kasprzak', 'Abakshin', 'Datsenko', 'Durasov', 'Sabbag', 'Nyurnberg', 'Gauk', 'Sarraf', 'Vasin', 'Duong', 'Goloschekin', 'Farhall', 'Paimullin', 'Machacek', 'Chukho', 'Gill', 'Bahtizin', 'Jordan', 'Fukao', 'Baburov', 'Nahamkin', 'Dneprov', 'Eikhfeld', 'Aldana', 'Tulya', 'Islamshin', 'Berezinsky', 'Atlantov', 'Goldman', 'Ganim', 'Middlesworth', 'Fedotko', 'Roganovich', 'Laurent', 'Ostler', 'Sunada', 'Lehmann', 'Pinsmail', 'Tsvelev', 'Aita', 'Torii', 'Nixon', \"O'Keefe\", 'Hladky', 'Shikuk', 'Kilbey', 'Grozmanova', 'Gadsden', 'Gladysh', 'Glazov', 'Ruhlyadko', 'Atyushov', 'Mas', 'Katzevman', 'Barabolya', 'Omelin', 'Paramoshkin', 'Baudin', 'Cernochova', 'Thatcher', 'Mustafa', 'Lozinsky', 'Glazovsky', 'Zhekov', 'Abbascia', 'Ikeda', 'Likholat', 'Kimble', 'Babinich', 'Adiev', 'Minovitzky', 'Ottey', 'Agasaroff', 'Sala', 'Lyons', 'Martell', 'Makhalin', 'Salib', 'Utyugov', 'Jarikhin', 'Havkunov', 'Bakhovtsev', 'Luzzatto', 'Marr', 'To', 'Awladeeff', 'Uchitel', 'Tseidler', 'Derzhavets', 'Shim', 'Zhokhin', 'Sada', 'Charlott', 'Nelli', 'Avis', 'Chishu', 'Totah', 'Valiakhmetov', 'Tomlinson', 'Delaney', 'Schwarz', 'Bagretsoff', 'Weaver', 'Naifeh', 'Asker', 'Goldschmidt', 'Belokhvostikov', 'Edge', 'Login', 'Enns', 'Ilyunin', 'Grushenko', 'Ryjkin', 'Baklanoff', 'Morton', 'Shakhin', 'Vonnegut', 'Astbury', 'Okakura', 'Downey', 'Bakhusov', 'Warner', 'Esparza', 'Bazaev', 'Okabe', 'Babel', 'Nahas', 'AbdankKossovsky', 'Chlebek', 'Musalimov', 'John', 'Salcedo', 'Kelso', 'Grodzensky', 'Novosadov', 'Barzetti', 'Feltham', 'Tupolev', 'Antontsev', 'Mahonov', 'Andrews', 'Turetsky', 'Kalinushkin', 'Mihailets', 'Najjar', 'Simon', 'Kraemer', 'Acciaioli', 'Brian', 'Ellwood', 'Horujev', 'Sarraf', 'Ramirez', 'Morjitsky', 'Maruschak', 'Bowles', 'Widdows', 'Onischenko', 'Zhemchujny', 'Gage', 'Ventimiglia', 'Balakleevsky', 'Batchaldin', 'Pagano', 'Zhikharevitch', 'Avdiysky', 'Irvine', 'Hudyak', 'Oorschot', 'Babosov', 'Daher', 'Ukhobotin', 'Agrashev', 'Showell', 'Serjantov', 'Edkins', 'Siegel', 'Durnovo', 'Totolos', 'Awad', 'Zogby', 'Adaksin', 'Grigoraschuk', 'Chalyh', 'Jo', 'Rouse', 'Milford', 'Stanley', 'Agzamoff', 'Mansour', 'Nataga', 'Chertykov', 'Kayes', 'Jamussa', 'Amsel', 'Zenbitsky', 'Wardle', 'Kuai', 'Lunn', 'Archambault', 'Seow', 'Avranek', 'Symes', 'Egiazarov', 'Yagunov', 'Astronomov', 'Otellin', 'Jidelev', 'Losenko', 'Zheimo', 'Granik', 'Read', 'Endolov', 'Dieter', 'Pahtel', 'Vyzhletsov', 'Hansen', 'Leone', 'Kruse', 'Houtum', 'Jablochkov', 'Richelieu', 'Kouri', 'Jabrov', 'Jovnir', 'Kon', 'Aihara', 'Mohosoev', 'Mlotkovsky', 'Jufryakov', 'Vilenchik', 'Jevakhov', 'Barlow', 'Chevalier', 'Halilulin', 'Maloof', 'Samaha', 'Cornock', 'Lawal', 'Broomfield', 'Nakadan', 'Vyacheslavov', 'Defabr', 'Mordberg', 'Andropov', 'Wilkshire', 'Tikhobrazov', 'Africano', 'Malouf', 'Tikhmenev', 'Zogby', 'Mckee', 'Ashurst', 'Bakhtiarov', 'Tzarenko', 'Teteruk', 'Limoshin', 'Derchansky', 'Paradzinsky', 'Adler', 'Seredkin', 'Tsuji', 'Avakov', 'Sabbag', 'Bonheur', 'Shakhnovsky', 'Chertushkin', 'Flann', 'Belyavsky', 'Babuh', 'Vesin', 'Senyakovich', 'Abuladze', 'Ritter', 'Martyshkin', 'Touma', 'Tsakh', 'Penkin', 'Vestfrid', 'Kanes', 'Isa', 'Tchehoev', 'Haynes', 'Gardener', 'Cham', 'Pirashkov', 'Keegan', 'Krauss', 'Pitcher', 'Moroney', 'Sarraf', 'Leboperov', 'Yagodin', 'Gau', 'Agratchev', 'Mustafa', 'Pontovich', 'Richter', 'Baibikoff', 'Turbin', 'Medved', 'Valy', 'Hume', 'Connolly', 'Godwin', 'Vajorov', 'Mikhels', 'Vikers', 'Schallom', 'Katsushika', 'Harkovsky', 'Ahmad', 'Demidovich', 'Corner', 'Zhitkov', 'Rogatkin', 'Bitar', 'Meeuwissen', 'Seok', 'Koury', 'Tchaly', 'Hlybov', 'Dohman', 'Mayuzumi', 'Abkin', 'Lapir', 'Boutros', 'Albuquerque', 'Woodhall', 'Chertov', 'Dobroklonsky', 'Quraishi', 'Cashmore', 'Almasi', 'Kalita', 'Christy', 'Adachi', 'Lapenkov', 'Gallutdinov', 'Robakidze', 'Harker', 'Aswad', 'Mokh', 'Ufimov', 'Stuart', 'Jarikov', 'Glen', 'Roijakkers', 'Tsarkov', 'Basara', 'Krhovsky', 'Pohlebaev', 'Bezubyak', 'Mcnab', 'Frumkin', 'Agadjanoff', 'Morisue', 'Shamuzafarov', 'Bonaventura', 'Cheung', 'Shakhnovich', 'Shammazov', 'Yakimychev', \"O'Hagan\", 'Mcauley', 'Khoo', 'Sheehy', 'Kyle', 'Zhelvakov', 'Abalov', 'Fadeev', 'Chukhadzhyan', 'Pavlyuchenko', 'Valitsky', 'Xin', 'King', 'Wen', 'De ath', 'Mcfadden', 'Velikanov', 'Ashby', 'Schetinkin', 'Raihert', 'Enin', 'Veitch', 'Vygovsky', 'Glaziev', 'Laing', 'Tsukatani', 'Tokuoka', 'Duff', 'Ryzhankov', 'Djumaev', 'Shalagaev', 'Pitkevich', 'Henkin', 'Jurkov', 'Harb', 'Badykshanov', 'Shalnev', 'Shalitkin', 'Shalahonov', 'Bazzi', 'Shalmanov', 'Miheenkov', 'Nakhapetov', 'Martyanchik', 'Sissons', 'Bakshtanowski', 'Shahin', 'Woolnough', 'Habin', 'Balaban', 'Eventov', 'Belmonte', 'Chehoev', 'Lieberenz', 'Turkington', 'Bakhelov', 'Wasem', 'Tahan', 'Frederick', 'Groshovkin', 'Danshin', 'Leitch', 'Horohorkin', 'Mikhilev', 'Golosnenko', 'Matsigura', 'Nujdin', 'Woodford', 'Duerr', 'Kill', 'Bagimoff', 'Baistryuchenko', 'Schnur', 'Kuang', 'Auttenberg', 'Lezhikov', 'Trotman', 'Zelenko', 'Fromberg', 'French', 'Turtygin', 'Chershintsev', 'Grandberg', 'Rjevsky', 'Dzhibuti', 'Drago', 'Sebastiani', 'Tzakh', 'Yanjul', 'Vikulin', 'Rahal', 'Vadeev', 'Mozhar', 'Jacks', 'Aller', 'Truchanow', 'Bahar', 'Rotshtein', 'Matsnev', 'Nomikos', 'Mencher', 'Beckenbauer', 'Shahpaev', 'Jurbin', 'Tsukada', 'Abdulin', 'Dovlatov', 'Hamitsev', 'Hardin', 'Khouri', 'Zolin', 'Kartaev', 'Quinn', 'Gai', 'Eger', 'Borgogni', 'Totah', 'Liverovsky', 'Ajibana', 'Angelopoulos', 'Katsovsky', 'Storey', 'Rzheshotarsky', 'Abelman', 'Woods', 'Owen', 'Uno', 'Jijikin', 'Tzalikov', 'Andrukhovich', 'Hasis', 'Juzvikov', 'Fell', 'Takano', 'Shamoun', 'Tueshev', 'Albutt', 'Leitz', 'Molochkov', 'Pechnikov', 'Bakulev', 'Issa', 'Zhalagin', 'Chukhalov', 'Gasilov', 'Masih', 'Arian', 'Belnov', 'Varakuta', 'Aldersley', 'Jijemsky', 'Zhdan', 'Shionoya', 'Sisson', 'Long', 'Frazer', 'Oberti', 'Coles', 'Valentik', 'Reijnders', 'Geier', 'Agroskin', 'Essa', 'Pillay', 'Omarjanov', 'Ullman', 'Gong', 'Nazario', 'Marutsky', 'Slocombe', 'Riggi', 'Jumonji', 'Griffin', 'Veevers', 'Gagin', 'Ryzhey', 'Leonenko', 'Jufit', 'Yagello', 'Abdrakhmanoff', 'Jafrakov', 'Edlington', 'Abboud', 'Tombs', 'Yukalov', 'Tomonaga', 'Gerald', 'Gudoshin', 'Androsyuk', 'Mahmudov', 'Maksimchenko', 'Knights', 'Markhinin', 'Galkin', 'Kilroy', 'Deryujinsky', 'Androsenko', 'Hajjar', 'Nigro', 'Juzhenko', 'Schwarzenegger', 'Downing', 'Bereznev', 'Abramyan', 'Abasheev', 'Azhiganoff', 'Donlan', 'Aeschelman', 'Dzhelepov', 'Augustin', 'Jadov', 'Amador', 'Anekshtein', 'Esionov', 'Mihaltsev', 'Casey', 'Pytov', 'Bilenshtein', 'Riga', 'Kools', 'Matseyovsky', 'Agapoff', 'Autlev', 'Damon', 'Ghannam', 'Panoulias', 'Bakhovkin', 'Yakon', 'Botros', 'Prigozhy', 'Paul', 'Jaboev', 'Snaaijer', 'Libkin', 'Zhilyardy', 'Hanzlick', 'Cheshire', 'Pereira', 'Nicolosi', 'Byrne', 'Episcopo', 'Hitomi', 'Ikina', 'Glubotsky', 'Bairamukov', 'Zheleznyak', 'Kuramoto', 'Eremchenko', 'Eganyan', 'Gladilin', 'Lysikov', 'Shamaro', 'Kawakami', 'Rakhletzky', 'Molorodov', 'Mansour', 'Jardine', 'Schoettmer', 'Thach', 'Willetts', 'Numajiri', 'Malinowski', \"O'Callaghann\", 'Sauvageot', 'Yakir', 'Haik', 'Ewin', 'Vanjula', 'Mansour', 'Falco', 'Kozlowski', 'Shadid', 'Luckhurst', 'Guzilov', 'Halikov', 'Lichenko', 'Levish', 'Tannous', 'Whitham', 'Dahl', 'Abdulkadyroff', 'Everitt', 'Abel', 'Haidin', 'Rodrigues', 'Zhizhemsky', 'Danas', 'Trafford', 'Dubnikov', 'Schmidt', 'Shimaoka', 'Mace', 'Isa', 'Quinones', 'Tumolsky', 'Gleave', 'Spencer', 'Chukhrov', 'Bauer', 'Beloded', 'Ormiston', 'Babilyas', 'Guerra', 'Krupala', 'Knigge', 'Privalihin', 'Simoes', 'Takayama', 'Lihodeev', 'Fistal', 'Kabachnik', 'Tahan', 'Passerini', 'Grojantsev', 'Engelke', 'Poshekhonov', 'Chertkovsky', 'Ba', 'Awdyushin', 'Elinson', 'Chekin', 'Elwood', 'Rory', 'Elepin', 'Naser', 'Abramchuk', 'Moshkin', 'Adriankin', 'Porodnya', 'Babansky', 'Grushikhin', 'Foya', 'Shel', 'Kiernan', 'Abboud', 'Vu', 'Mantovani', 'Kumar', 'Yudkov', 'Jagutkin', 'Bakheloff', 'Dubrovin', 'Pinter', 'Sum', 'Jadin', 'Odonnell', 'Rekunkov', 'Lupov', 'Talroze', 'Ketley', 'Broadbent', 'Maslanka', 'Holschevnikov', 'Molodyh', 'Tsarevsky', 'Peyton', 'Cherov', 'Ukhanov', 'Jacobson', 'Strachan', 'Ludgrove', 'Awturkhanoff', 'Nemec', 'Maus', 'Halabi', 'Niles', 'Richman', 'Chekachev', 'Vinterfeldt', 'Kempster', 'Pitukhin', 'Abadi', 'Davydkin', 'Ramsey', 'Seeger', 'Openshaw', 'Janvier', 'Hazipov', \"Dar'In\", 'Tzarkov', 'Mojar', 'Schwinghammer', 'Fitch', 'Maalouf', 'Darcy', 'Ying', 'Bakharev', 'Mikhail', 'Ghannam', 'Philpott', 'Zavodchikov', 'Jukhimenko', 'Napper', 'Watoga', 'Torney', 'Abrosov', 'Lanham', 'Dats', 'Ruzanov', 'Lohmatikov', 'Piterskih', 'Kattan', 'Burgess', 'Jurakovsky', 'Gauk', 'Lupehin', 'Ustinovich', 'Djuro', 'Ageshin', 'Aonghus', 'Stawski', 'Beltov', 'Morcos', 'Hindle', 'Saks', 'Daher', 'Timonnikov', 'Toma', 'Olivier', 'Shenaev', 'Mordasov', 'Vavrovsky', 'Bekh', 'Teterichev', 'Strange', 'Uhabin', 'Davidyuk', 'Kassab', 'Boutros', 'Djarimov', 'Atramov', 'Holshevnikov', 'Pakhunov', 'Najjar', 'Kouri', 'Hakhanyan', 'Arnolfi', 'Zimnitsky', 'Malouf', 'Thornton', 'Awramoff', 'Cleirich', 'Belotserkovets', 'Dzhura', 'Hira', 'Haruguchi', 'Tamanyan', 'Okanaya', 'Doinikov', 'Tchekhovsky', 'Lysov', 'Vaikin', 'Sherry', 'Nassar', 'Davidchuk', 'Lezhankov', 'Godfrey', 'Zenkevich', 'Hernandez', 'Turta', 'Lojchenko', 'Quiros', 'Belman', 'Isnard', 'Fiscella', 'Peel', 'Itami', 'Mihel', 'Yeon', 'Penkovsky', 'Shahnazaryan', 'Rodwell', 'Mansour', 'Rowlands', 'Pilkington', 'Jebson', 'Lepekhin', 'Juravov', 'Avik', 'Kearton', 'Makharov', 'Schwartz', 'Muzykin', 'Fraser', 'Tumanovsky', 'Seif', 'Baboshkin', 'Rheem', 'Breen', 'Dobrivsky', 'Katzev', 'Elizondo', 'Jankevich', 'Handzlik', 'Coll', 'Finfera', 'Monomonoi', 'Garcon', 'Kassis', 'Almasi', 'Kappel', 'Nuallan', 'Dubinin', 'Minnikov', 'Hulhachiev', 'Babenko', 'Nastoyaschy', 'Timiryazev', 'Ledger', 'Vilinbahov', 'Kitchin', 'Hellier', 'Asghar', 'Takashita', 'Matsevich', 'Pochekin', 'Vannikov', 'Molov', 'Beloschin', 'Jushman', 'Dojdikov', 'Grogan', 'Bancroft', 'Abletsoff', 'Agramunt', 'Tupikov', 'Hajjar', 'Natochin', 'Kucharova', 'Vihlyaev', 'Phipps', 'Yatskov', 'Whyte', 'Eansworth', 'Caiazzo', 'Tzeidler', 'Wakatsuki', 'Lupo', 'Epsom', 'Kartunov', 'Martsevich', 'Sleiman', 'Anikeev', 'Ruadhan', 'Antoshkin', 'Kawamata', 'Forsythe', 'Demall', 'Baklanov', 'Mokhnatsky', 'Obyedkov', 'Fabrichnikov', 'Sutherland', 'Pylnev', 'Avagimov', 'Reiher', 'Lebeau', 'Wildman', 'Atiyeh', 'Bak', 'Oriol', 'Gaspari', 'Katzenelenbaum', 'Tsaplin', 'Ruzakov', 'Hiraoka', 'Mifsud', 'Zaruba', 'Weiss', 'Juruli', 'Gehring', 'Croucher', 'Banh', 'Dikolenko', 'Papageorge', 'Haesh', 'Tange', 'Shadid', 'Doguzov', 'Likhodedov', 'Omegov', 'Rusu', 'Willett', 'Essa', 'Greensmith', 'Tzenin', 'Assaf', 'Morduhovich', 'Kaufman', 'Bawilin', \"Zasyad'Ko\", 'Chalykh', 'Marks', 'Cadman', 'Adjubei', 'Endogurov', 'Asker', 'Hase', 'Chepurnov', 'Jamaletdinov', 'Valchuk', 'Kaplanek', 'Hadjula', 'Jituhin', 'Dorofeev', 'Artyukhov', 'Wakeford', 'Whitworth', 'Kloet', 'Adler', 'Bakunov', 'Reyes', 'Meeuwes', 'Priemykhov', 'Ustkachkintsev', 'Gordeev', 'Enomoto', 'Pagaev', 'Fin', 'Osborne', 'Kassis', 'Schetinin', 'Tzenkovsky', 'Noro', 'Reese', 'Shanaev', 'Handal', 'Talpin', \"O'Donnell\", 'Naser', 'Gukov', 'Hashachih', 'Bazzi', 'Moshnyaga', 'Bakshanski', 'Davydenkov', 'Akkeren', 'Breisacher', 'Adyan', 'Damell', 'Pemberton', 'Bianchi', 'Matasov', 'Grinham', 'Agurski', 'Symonds', 'Nazari', 'Kalimahi', 'Shakhnazaryan', 'Paraskevopoulos', 'Awad', 'Puschin', 'Cox', 'Albanov', 'Fried', 'Hajjar', 'Holoshin', 'Naser', 'Saidullaev', 'Calpis', 'Gayanov', 'Moorhouse', 'Kartoshkin', 'Maksimyuk', 'Birnbaum', 'Lapointe', 'Shikitei', 'Hanyutin', 'Anuriev', 'Libson', 'Gerges', 'Morcos', 'Fugunaga', 'Hoffman', 'Imai', 'Hoteev', 'Morenshildt', 'Egr', 'Jatsyshin', 'Flower', 'Yadrihinsky', 'Tsekhmistrenko', 'Gluhonkov', 'Likunov', 'Nasledov', 'Baturin', 'Graham', 'Quraishi', 'Khouri', 'Maalouf', 'Mozhartsev', 'Ustimenko', 'Horoshkevich', 'Goring', 'Eilenkrig', 'Albanesi', 'Zhabsky', 'Farrar', 'Ferreira', 'Haggett', 'Buck', 'Lapaev', 'Vykhodtsev', 'Gudilin', 'Readman', 'Adriatico', 'Mathews', 'Daher', 'Avladeev', 'Avtukhov', 'Ichiyusai', 'Ratti', 'Tsangaris', 'Deguchi', 'Woodham', 'Klerkse', 'Tatlock', 'Leiman', 'Bajan', 'Hapsirokov', 'Tziolkovsky', 'Egle', 'Ngo', 'Djincharadze', 'Kalb', 'Tropinov', 'Ball', 'Asghar', 'Che', 'Mustafa', 'Talkovsky', 'Portyankin', 'Harin', 'Rovnev', 'Prygoda', 'Jenkins', 'Tisdall', 'Abana', 'Rott', 'Lebed', 'Glavak', 'Allan', 'Kudrna', 'Mischenkov', 'Matsuki', 'Eccott', 'Ghanem', 'Zharsky', 'Brunton', 'Berezovoi', 'Rick', 'Keffler', 'Kouri', 'Ba', 'Serednyakov', 'Grigorishin', 'Houlton', 'Ardiccioni', 'Ablyazov', 'Zinyuhin', 'Vild', 'Tulakov', 'Iskandaryan', 'Balazowski', 'Berger', 'Hankoev', 'Titterington', 'Amari', 'Rukhlyada', 'Timpy', 'Saliba', 'Baitoff', 'Arian', 'Totah', 'Di pietro', 'Valentsev', 'Fleming', 'Aswad', 'Ganem', 'Sarkozi', 'Shamon', 'Hartmann', 'Baidavletoff', 'Hoare', 'Bell', 'Leeuwenhoek', 'Zhelnin', 'Turischev', 'Ujvak', 'Ataev', 'Ba', 'Kenyon', 'Locke', 'Zappa', 'Sarumara', 'Tchekhlakovsky', 'Ohira', 'Down', 'Takagawa', 'Davletgaraev', 'Tettenborn', 'Duckworth', 'Dan', 'Babienko', 'Terakado', 'Imatkulov', 'Kaube', 'Vazhenin', 'Peftiev', 'Meredith', 'Mkrtumov', 'Harlampovich', 'Tieu', 'Mashita', 'Lawler', 'Dubenetsky', 'Finnigan', 'Strand', 'Wrench', 'Harb', 'Raihelgauz', 'Thomson', 'Mishima', 'Tselischev', 'Harkov', 'Ukhabin', 'Saifutdinov', 'Hubiev', 'Cunningham', 'Pickford', 'Viney', 'Zhizdik', 'Polivkin', 'Friel', 'Rose', 'Hudokormov', 'Jadrov', 'Ramecker', 'Dardyk', 'Dobbins', 'Gould', 'Arvanitoyannis', 'Batchyanskas', 'Maroun', 'Ba', 'Carrara', 'Aiello', 'Tihy', 'Dubois', 'Oesterreicher', 'Iwahara', 'Kitchen', 'Bahtiarov', 'Gortikov', 'Fakhoury', 'Yamabe', 'Takeuchi', 'Porokh', 'Mihalchuk', 'Plisetsky', 'Awad', 'Maryshev', 'So', 'Fernyhough', 'Bruno', 'Tomeev', 'Kibblewhite', 'Zhivaev', 'Plihin', 'Pyanochenko', 'Oborkin', 'Mnogogreshny', 'Mizutani', 'Martyuk', 'Maloof']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T4osxIA-PNQN",
        "colab_type": "code",
        "outputId": "3d290b80-1161-4314-93ba-995243ae5b6e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print(len(X_train), len(X_test))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "16040 4010\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "daXjlTRLB_lp",
        "colab_type": "text"
      },
      "source": [
        "### Encoding names and language"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5SRc2c_l9MJO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "all_letters = string.ascii_letters + \" .,;'\"\n",
        "n_letters = len(all_letters)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_DjSLYo8-Q3X",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def name_rep(name):\n",
        "    rep = torch.zeros(len(name), 1, n_letters)\n",
        "    for index, letter in enumerate(name):\n",
        "        pos = all_letters.find(letter)\n",
        "        rep[index][0][pos] = 1\n",
        "    return rep"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kH5o5z0O_LoV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def lang_rep(lang):\n",
        "    return torch.tensor([languages.index(lang)], dtype=torch.long)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "K1uwnfKp_BTK",
        "colab_type": "code",
        "outputId": "08c32148-d511-408f-90e2-c99de5e3c1cf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        }
      },
      "source": [
        "name_rep('Abreu')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0.]],\n",
              "\n",
              "        [[0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0.]],\n",
              "\n",
              "        [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0.]],\n",
              "\n",
              "        [[0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0.]],\n",
              "\n",
              "        [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "          0., 0., 0., 0., 0., 0.]]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FDL869I7_C4n",
        "colab_type": "code",
        "outputId": "bb20befd-60e1-411e-c483-cd5fb4ee8a8c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "lang_rep('Portuguese')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([0])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vH3KqjOOD6tY",
        "colab_type": "text"
      },
      "source": [
        "### Basic visualisation"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FGbo7wNNAVv4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "count = {}\n",
        "for l in languages: \n",
        "    count[l] = 0\n",
        "for d in data:\n",
        "    count[d[1]] += 1"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eWnmFwl6ENNH",
        "colab_type": "code",
        "outputId": "eda3f424-6d89-4418-f5ab-6a2e66e87823",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "print(count)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'Portuguese': 74, 'Irish': 232, 'Spanish': 298, 'Vietnamese': 73, 'Chinese': 268, 'Greek': 203, 'Czech': 519, 'Dutch': 297, 'Japanese': 991, 'French': 277, 'German': 724, 'Scottish': 100, 'English': 3668, 'Russian': 9384, 'Polish': 139, 'Arabic': 2000, 'Korean': 94, 'Italian': 709}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Dc9qvxU4EORT",
        "colab_type": "code",
        "outputId": "09e1bbea-b797-49b8-8f5e-a5106ad36fea",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "source": [
        "plt_ = sns.barplot(list(count.keys()), list(count.values()))\n",
        "plt_.set_xticklabels(plt_.get_xticklabels(), rotation=90)\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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cwM2bN7F69WpMnz5dqHv+/DmkUim8vLyUZqxUpWXLljhz5gxyc3MRERGBQYMG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\nYDAYbYYNJgwGg8FoM/8FwQZIQFGVPOYAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ne8qqdt0F59E",
        "colab_type": "text"
      },
      "source": [
        "## Basic network and testing inference"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cAs526MUFc_C",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "class RNN_net(nn.Module):\n",
        "    def __init__(self, input_size, hidden_size, output_size):\n",
        "        super(RNN_net, self).__init__()\n",
        "        self.hidden_size = hidden_size\n",
        "        self.rnn_cell = nn.RNN(input_size, hidden_size)\n",
        "        self.h2o = nn.Linear(hidden_size, output_size)\n",
        "        self.softmax = nn.LogSoftmax(dim=1)\n",
        "    \n",
        "    def forward(self, input_, hidden = None, batch_size = 1):\n",
        "        out, hidden = self.rnn_cell(input_, hidden)\n",
        "        output = self.h2o(hidden.view(-1, self.hidden_size))\n",
        "        output = self.softmax(output)\n",
        "        return output, hidden\n",
        "    \n",
        "    def init_hidden(self, batch_size = 1):\n",
        "        return torch.zeros(1, batch_size, self.hidden_size)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pU0iZYnHGUhM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "n_hidden = 128\n",
        "net = RNN_net(n_letters, n_hidden, n_languages)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BoO6JFooHCJ4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def infer(net, name, device = 'cpu'):\n",
        "    name_ohe = name_rep(name).to(device)\n",
        "    \n",
        "    output, hidden = net(name_ohe)\n",
        "        \n",
        "    if type(hidden) is tuple: # For LSTM\n",
        "        hidden = hidden[0]\n",
        "    index = torch.argmax(hidden)\n",
        "    \n",
        "    return output"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W3ZjoIJcImaN",
        "colab_type": "code",
        "outputId": "75ccd2fc-352e-4e64-9d56-06721de593c4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        }
      },
      "source": [
        "infer(net, 'Adam')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[-2.7495, -2.8473, -3.0396, -2.8506, -3.0472, -2.9717, -2.9106, -2.9805,\n",
              "         -2.8123, -2.7746, -2.8746, -2.8459, -2.8182, -3.0001, -2.9102, -2.7821,\n",
              "         -2.9161, -2.9663]], grad_fn=<LogSoftmaxBackward>)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6WscCKVAIEMQ",
        "colab_type": "text"
      },
      "source": [
        "## Evaluate model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uJnxXFA0V701",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def dataloader(npoints, X_, y_):\n",
        "    to_ret = []\n",
        "    for i in range(npoints):\n",
        "        index_ = np.random.randint(len(X_))\n",
        "        name, lang = X_[index_], y_[index_]\n",
        "        to_ret.append((name, lang, name_rep(name), lang_rep(lang)))\n",
        "    return to_ret"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AWztceyoV84F",
        "colab_type": "code",
        "outputId": "a8e6c89e-7f2f-461e-ad72-407d6b8fee1d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 967
        }
      },
      "source": [
        "dataloader(2, X_train, y_train)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('Frumin',\n",
              "  'Russian',\n",
              "  tensor([[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0.]],\n",
              "  \n",
              "          [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0.]],\n",
              "  \n",
              "          [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0.]],\n",
              "  \n",
              "          [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0.]],\n",
              "  \n",
              "          [[0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0.]],\n",
              "  \n",
              "          [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0.]]]),\n",
              "  tensor([13])),\n",
              " ('Lobo',\n",
              "  'Portuguese',\n",
              "  tensor([[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0.]],\n",
              "  \n",
              "          [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0.]],\n",
              "  \n",
              "          [[0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0.]],\n",
              "  \n",
              "          [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "            0., 0., 0., 0., 0., 0.]]]),\n",
              "  tensor([0]))]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b4d_RfqmP1c4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def eval(net, n_points, topk, X_, y_, device = 'cpu'):\n",
        "    net = net.eval().to(device)\n",
        "    data_ = dataloader(n_points, X_, y_)\n",
        "    correct = 0\n",
        "    \n",
        "    for name, language, name_ohe, lang_rep in data_:\n",
        "        \n",
        "        output = infer(net, name, device)\n",
        "        val, indices = output.topk(topk)\n",
        "        indices = indices.to('cpu')\n",
        "        \n",
        "        if lang_rep in indices:\n",
        "            correct += 1\n",
        "            \n",
        "    accuracy = correct/n_points\n",
        "    return accuracy"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E8FAv356Ifqk",
        "colab_type": "code",
        "outputId": "befa549e-5ff5-405e-b1f6-3d7146207375",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "eval(net, 1000, 1, X_test, y_test)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.02"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H2DryJZtg6EB",
        "colab_type": "text"
      },
      "source": [
        "# Batching"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wPhkg4KlWCWj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def batched_name_rep(names, max_word_size):\n",
        "    rep = torch.zeros(max_word_size, len(names), n_letters)\n",
        "    for name_index, name in enumerate(names):\n",
        "        for letter_index, letter in enumerate(name):\n",
        "            pos = all_letters.find(letter)\n",
        "            rep[letter_index][name_index][pos] = 1\n",
        "    return rep"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mIIIpkbuaNhI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def print_char(name_reps):\n",
        "    name_reps = name_reps.view((-1, name_reps.size()[-1]))\n",
        "    for t in name_reps: \n",
        "        if torch.sum(t) == 0:\n",
        "            print('<pad>')\n",
        "        else:\n",
        "            index = t.argmax()\n",
        "            print(all_letters[index])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g3VSyh5BWERT",
        "colab_type": "code",
        "outputId": "9f69639b-35aa-410a-9fe7-1b0e67c268b1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 985
        }
      },
      "source": [
        "out_ = batched_name_rep(['Shyam', 'Ram'], 5)\n",
        "print(out_)\n",
        "print(out_.shape)\n",
        "print_char(out_)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "tensor([[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0.],\n",
            "         [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0.]],\n",
            "\n",
            "        [[0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0.],\n",
            "         [1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0.]],\n",
            "\n",
            "        [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0.],\n",
            "         [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0.]],\n",
            "\n",
            "        [[1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0.],\n",
            "         [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0.]],\n",
            "\n",
            "        [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0.],\n",
            "         [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
            "          0., 0., 0., 0., 0., 0.]]])\n",
            "torch.Size([5, 2, 57])\n",
            "S\n",
            "R\n",
            "h\n",
            "a\n",
            "y\n",
            "m\n",
            "a\n",
            "<pad>\n",
            "m\n",
            "<pad>\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ylDe6hKuWkE-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def batched_lang_rep(langs):\n",
        "    rep = torch.zeros([len(langs)], dtype=torch.long)\n",
        "    for index, lang in enumerate(langs):\n",
        "        rep[index] = languages.index(lang)\n",
        "    return rep"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HjgEOjpvNbwz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def batched_dataloader(npoints, X_, y_, verbose=False, device = 'cpu'):\n",
        "    names = []\n",
        "    langs = []\n",
        "    X_lengths = []\n",
        "    \n",
        "    for i in range(npoints):\n",
        "        index_ = np.random.randint(len(X_))\n",
        "        name, lang = X_[index_], y_[index_]\n",
        "        X_lengths.append(len(name))\n",
        "        names.append(name)\n",
        "        langs.append(lang)\n",
        "    max_length = max(X_lengths)\n",
        "    \n",
        "    names_rep = batched_name_rep(names, max_length).to(device)\n",
        "    langs_rep = batched_lang_rep(langs).to(device)\n",
        "    \n",
        "    padded_names_rep = torch.nn.utils.rnn.pack_padded_sequence(names_rep, X_lengths, enforce_sorted = False)\n",
        "    \n",
        "    if verbose:\n",
        "        print(names_rep.shape, padded_names_rep.data.shape)\n",
        "        print('--')\n",
        "    \n",
        "    if verbose:\n",
        "        print(names)\n",
        "        print_char(names_rep)\n",
        "        print('--')\n",
        "    \n",
        "    if verbose:\n",
        "        print_char(padded_names_rep.data)\n",
        "        print('Lang Rep', langs_rep.data)\n",
        "        print('Batch sizes', padded_names_rep.batch_sizes)\n",
        "    \n",
        "    \n",
        "    return padded_names_rep.to(device), langs_rep"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vkWwJr4GXjSY",
        "colab_type": "code",
        "outputId": "18cde485-52d4-4a0a-f4ce-0153b09753a1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 914
        }
      },
      "source": [
        "p, l = batched_dataloader(3, X_train, y_train, True)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "torch.Size([8, 3, 57]) torch.Size([21, 57])\n",
            "--\n",
            "['Eilers', 'Gasnikov', 'Hautiev']\n",
            "E\n",
            "G\n",
            "H\n",
            "i\n",
            "a\n",
            "a\n",
            "l\n",
            "s\n",
            "u\n",
            "e\n",
            "n\n",
            "t\n",
            "r\n",
            "i\n",
            "i\n",
            "s\n",
            "k\n",
            "e\n",
            "<pad>\n",
            "o\n",
            "v\n",
            "<pad>\n",
            "v\n",
            "<pad>\n",
            "--\n",
            "G\n",
            "H\n",
            "E\n",
            "a\n",
            "a\n",
            "i\n",
            "s\n",
            "u\n",
            "l\n",
            "n\n",
            "t\n",
            "e\n",
            "i\n",
            "i\n",
            "r\n",
            "k\n",
            "e\n",
            "s\n",
            "o\n",
            "v\n",
            "v\n",
            "Lang Rep tensor([12, 13, 13])\n",
            "Batch sizes tensor([3, 3, 3, 3, 3, 3, 2, 1])\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KyvukubrKZf5",
        "colab_type": "text"
      },
      "source": [
        "## Training"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nO4UWonqaxQm",
        "colab_type": "text"
      },
      "source": [
        "### Basic setup"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FMW_J-m_IpKX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def train(net, opt, criterion, n_points):\n",
        "    \n",
        "    opt.zero_grad()\n",
        "    total_loss = 0\n",
        "    \n",
        "    data_ = dataloader(n_points, X_train, y_train)\n",
        "    \n",
        "    total_loss = 0\n",
        "    \n",
        "    for name, language, name_ohe, lang_rep in data_:\n",
        "\n",
        "        hidden = net.init_hidden()\n",
        "\n",
        "        for i in range(name_ohe.size()[0]):\n",
        "            output, hidden = net(name_ohe[i:i+1], hidden)\n",
        "            \n",
        "        loss = criterion(output, lang_rep)\n",
        "        loss.backward(retain_graph=True)\n",
        "        \n",
        "        total_loss += loss\n",
        "        \n",
        "    opt.step()       \n",
        "    return total_loss/n_points"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hZyvRBSCg_od",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def train_batch(net, opt, criterion, n_points, device = 'cpu'):\n",
        "    \n",
        "    net.train().to(device)\n",
        "    opt.zero_grad()\n",
        "    \n",
        "    batch_input, batch_groundtruth = batched_dataloader(n_points, X_train, y_train, False, device)\n",
        "    \n",
        "    output, hidden = net(batch_input)\n",
        "    \n",
        "    loss = criterion(output, batch_groundtruth)\n",
        "    \n",
        "    loss.backward()\n",
        "    opt.step()\n",
        "    return loss"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TOiTJXgTNmc8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "net = RNN_net(n_letters, n_hidden, n_languages)\n",
        "criterion = nn.NLLLoss()\n",
        "opt = optim.SGD(net.parameters(), lr=0.01, momentum=0.9)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k3OzbxjJNpny",
        "colab_type": "code",
        "outputId": "87045bf8-7c89-4314-adab-4caba4cac16d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        }
      },
      "source": [
        "%%time \n",
        "train(net, opt, criterion, 256)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "CPU times: user 563 ms, sys: 21.4 ms, total: 585 ms\n",
            "Wall time: 604 ms\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor(2.9128, grad_fn=<DivBackward0>)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hPt7X0mAi3jz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "net = RNN_net(n_letters, n_hidden, n_languages)\n",
        "criterion = nn.NLLLoss()\n",
        "opt = optim.SGD(net.parameters(), lr=0.01, momentum=0.9)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gVw0yRLujD9V",
        "colab_type": "code",
        "outputId": "2c9b7266-d0fa-4ec4-ec78-f85b18656401",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        }
      },
      "source": [
        "%%time \n",
        "train_batch(net, opt, criterion, 256)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "CPU times: user 42.8 ms, sys: 4.97 ms, total: 47.8 ms\n",
            "Wall time: 74.6 ms\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor(2.9076, grad_fn=<NllLossBackward>)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0vVkxII7P1nS",
        "colab_type": "text"
      },
      "source": [
        "### Full training setup"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6ga8bJctPJgG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def train_setup(net, lr = 0.01, n_batches = 100, batch_size = 10, momentum = 0.9, display_freq=5, device = 'cpu'):\n",
        "    net = net.to(device)\n",
        "    criterion = nn.NLLLoss()\n",
        "    opt = optim.SGD(net.parameters(), lr=lr, momentum=momentum)\n",
        "    \n",
        "    loss_arr = np.zeros(n_batches + 1)\n",
        "    \n",
        "    for i in range(n_batches):\n",
        "        loss_arr[i+1] = (loss_arr[i]*i + train_batch(net, opt, criterion, batch_size, device))/(i + 1)\n",
        "        \n",
        "        if i%display_freq == display_freq-1:\n",
        "            clear_output(wait=True)\n",
        "            \n",
        "            print('Iteration', i, 'Loss', loss_arr[i])\n",
        "            # print('Top-1:', eval(net, len(X_test), 1, X_test, y_test), 'Top-2:', eval(net, len(X_test), 2, X_test, y_test))\n",
        "            plt.figure()\n",
        "            plt.plot(loss_arr[1:i], '-*')\n",
        "            plt.xlabel('Iteration')\n",
        "            plt.ylabel('Loss')\n",
        "            plt.show()\n",
        "            print('\\n\\n')\n",
        "            \n",
        "    print('Top-1:', eval(net, len(X_test), 1, X_test, y_test, device), 'Top-2:', eval(net, len(X_test), 2, X_test, y_test, device))\n",
        "                      "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7T_28hAea6AB",
        "colab_type": "text"
      },
      "source": [
        "## RNN Cell"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xmyRZ5jcG3HO",
        "colab_type": "code",
        "outputId": "a723e407-d87e-4396-a9c6-e9ac6804a172",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        }
      },
      "source": [
        "%%time\n",
        "net = RNN_net(n_letters, 128, n_languages)\n",
        "train_setup(net, lr=0.15, n_batches=5000, batch_size = 512, display_freq=500) # CPU Training example"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Iteration 4999 Loss 0.45763254165649414\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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6rW1u19L7xdXvITcFBxwQEZnOKXo+oaGh2LZtG8rLy5GcnKzzYram5HI5AMDLy0tnnbe3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\ndyDQ2eUjmQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "Top-1: 0.7551122194513715 Top-2: 0.8630922693266833\n",
            "CPU times: user 5min 56s, sys: 3.56 s, total: 5min 59s\n",
            "Wall time: 6min 1s\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0c5EczLQG9jG",
        "colab_type": "code",
        "outputId": "10d7f4c0-ceb8-4406-b4e5-49dfaafed2ff",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        }
      },
      "source": [
        "%%time\n",
        "net = RNN_net(n_letters, 128, n_languages)\n",
        "train_setup(net, lr=0.15, n_batches=5000, batch_size = 512, display_freq=100, device = device_gpu) # GPU Training Example"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Iteration 4999 Loss 0.47608789801597595\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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5NGRtLwj4vSf0fxs345ulK21SFxF5Np52s5K7hw9gPIAAy0Lo6NffIPWd962u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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "Top-1: 0.7603491271820448 Top-2: 0.8598503740648379\n",
            "CPU times: user 3min 59s, sys: 1.69 s, total: 4min 1s\n",
            "Wall time: 4min 7s\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Li5UaF_OY7x9",
        "colab_type": "text"
      },
      "source": [
        "## LSTM cell"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A6KSijnhWgtH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "class LSTM_net(nn.Module):\n",
        "    def __init__(self, input_size, hidden_size, output_size):\n",
        "        super(LSTM_net, self).__init__()\n",
        "        self.hidden_size = hidden_size\n",
        "        self.lstm_cell = nn.LSTM(input_size, hidden_size)\n",
        "        self.h2o = nn.Linear(hidden_size, output_size)\n",
        "        self.softmax = nn.LogSoftmax(dim=1)\n",
        "    \n",
        "    def forward(self, input, hidden = None):\n",
        "        out, hidden = self.lstm_cell(input, hidden)\n",
        "        output = self.h2o(hidden[0].view(-1, self.hidden_size))\n",
        "        output = self.softmax(output)\n",
        "        return output, hidden\n",
        "    \n",
        "    def init_hidden(self, batch_size = 1):\n",
        "        return (torch.zeros(1, batch_size, self.hidden_size), torch.zeros(1, batch_size, self.hidden_size))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A3qjhBQfZK4i",
        "colab_type": "code",
        "outputId": "7955c922-fcbb-4290-ce15-4440ac9dcc88",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 389
        }
      },
      "source": [
        "n_hidden = 128\n",
        "net = LSTM_net(n_letters, n_hidden, n_languages)\n",
        "train_setup(net, lr=0.15, n_batches=8000, batch_size = 512, display_freq=1000, device = device_gpu)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Iteration 7999 Loss 0.24516232311725616\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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BA9CzZ08sWLAAw4YNAwBMmTLFchXWQjKZDAsvnrR3GUREdmP0ZbfAwEBcvXpV9fOAAQOQ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\nkc39f2iirAObGzehAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "Top-1: 0.7912718204488778 Top-2: 0.8805486284289277\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "k0JnIpUmaC_R",
        "colab_type": "text"
      },
      "source": [
        "## GRU Cell"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CL6ybA2pZQBZ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "class GRU_net(nn.Module):\n",
        "    def __init__(self, input_size, hidden_size, output_size):\n",
        "        super(GRU_net, self).__init__()\n",
        "        self.hidden_size = hidden_size\n",
        "        self.gru_cell = nn.GRU(input_size, hidden_size)\n",
        "        self.h2o = nn.Linear(hidden_size, output_size)\n",
        "        self.softmax = nn.LogSoftmax(dim=1)\n",
        "    \n",
        "    def forward(self, input, hidden = None):\n",
        "        out, hidden = self.gru_cell(input, hidden)\n",
        "        output = self.h2o(hidden.view(-1, self.hidden_size))\n",
        "        output = self.softmax(output)\n",
        "        return output, hidden"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i_2SCAtvaX2Q",
        "colab_type": "code",
        "outputId": "d13a7682-c16e-42d8-db74-a3fe93de9137",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        }
      },
      "source": [
        "n_hidden = 128\n",
        "net = GRU_net(n_letters, n_hidden, n_languages)\n",
        "train_setup(net, lr=0.15, n_batches=8000, batch_size = 512, display_freq=1000, device = device_gpu)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Iteration 7999 Loss 0.21881069242954254\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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G4dixYzq3CwoKQmhoqMayLVu2oHPnzggPD1cvCwkJQUxMDBITE61atyl43YeISJMEgP5z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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "Top-1: 0.7935162094763092 Top-2: 0.8845386533665835\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UGbMKcWAe_Jh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}