Auto-fill captcha

gistfile1.js

// ==UserScript==
// @name           Auto-fill captcha
// @version        0.1.1
// @description    Auto-fills the captcha and auto-starts download
// @copyright      2009 Shaun Friedle
// @license        GPL version 3; http://www.gnu.org/copyleft/gpl.html
//
// ==/UserScript==

function Block()
  {
    this.keys = [];
    this.items = [];
  }

Block.prototype.add = function(value)
  {
    var key = value.toSource();
    var pos = this.search(key);
    if (this.keys[pos] != key)
      {
        this.keys.splice(pos, 0, key);
        this.items.splice(pos, 0, value);
      }
  }

Block.prototype.contains = function(value)
  {
    var key = value.toSource();
    var pos = this.search(key);
    return this.keys[pos] === key;
  }

Block.prototype.search = function(key)
  {
    var low = 0;
    var high = this.keys.length;
    while (low < high)
      {
        mid = low + Math.floor((high - low) / 2);
        if (this.keys[mid] < key)
            low = mid + 1;
        else
            high = mid;
      }

    return low;
  }


function GIF()
  {
    this.bytes = 0;
    this.code_dict = [];
    this.current_byte = 0;
    this.height = 0;
    this.gct = []
    this.pixels = []
    this.min_code_size = 0
    this.remaining = [0, 0]
    this.width = 0;
  }

GIF.prototype.from_array = function(data)
  {
    this.width = data[6] + data[7] * 0x100;
    this.height = data[8] + data[9] * 0x100;

    var gct_size = Math.pow(2, (data[10] & 7) + 1);

    for (var i = 0; i < gct_size; i++)
        this.gct.push([data[13+i*3], data[13+i*3+1], data[13+i*3+2]]);

    this.min_code_size = data[127];
    var code_size = this.min_code_size + 1;

    this.init_code_dict();

    this.current_byte = 128;
    var code = null;
    var previous = null;
    var next_code = Math.pow(2, this.min_code_size) + 2;
    while (1)
      {
        if (!this.bytes)
          {
            var byte_ = data[this.current_byte];
            if (byte_ == 0)
                break;
            this.bytes = byte_;
            this.current_byte++;
          }
        else
          {
            code = this.get_code(data, code_size);
            if (code < this.code_dict.length)
              {
                if (this.code_dict[code] == 'clear')
                  {
                    this.init_code_dict();
                    code_size = this.min_code_size + 1;
                    next_code =  Math.pow(2, this.min_code_size) + 2;
                    previous = null;
                    continue;
                  }
                if (this.code_dict[code] == 'end')
                    break;
                if (previous == null)
                  {
                    this.pixels = this.pixels.concat(this.code_dict[code]);
                    previous = code;
                    continue;
                  }
              }

            if (code < this.code_dict.length)
                this.code_dict[next_code] = 
                    this.code_dict[previous].concat(this.code_dict[code][0]);
            else
                this.code_dict[next_code] = 
                    this.code_dict[previous].concat(this.code_dict[previous][0]);

            this.pixels = this.pixels.concat(this.code_dict[code]);

            previous = code;
            next_code++;
            if (next_code >= Math.pow(2, code_size) && code_size < 12)
                code_size++;
          }
      }
  }

GIF.prototype.get_code = function(data, code_size)
  {
    if (this.remaining[0] >= code_size)
      {
        var mask = Math.pow(2, code_size) - 1;
        var code = this.remaining[1] & mask;
        this.remaining[0] -= code_size;
        this.remaining[1] >>= code_size;
      }
    else
      {
        var read_bits = 0;
        var code = 0;
        while (read_bits < code_size)
          {
            var byte_ = data[this.current_byte];
            this.current_byte++;
            this.bytes--;

            var read_in = Math.min(8, code_size - read_bits);
            var read_new = Math.max(0, read_in - this.remaining[0]);
            var new_mask = Math.pow(2, read_new) - 1;
            var rem_mask = Math.pow(2, read_in - read_new) - 1;

            code |= (((byte_ & new_mask) << this.remaining[0]) |
                     (this.remaining[1] & rem_mask)) << read_bits;

            this.remaining = [this.remaining[0] - (read_in - read_new),
                              this.remaining[1] >> (read_in - read_new)];

            this.remaining = [this.remaining[0] + (8 - read_new), 
                this.remaining[1] | (byte_ >> read_new << this.remaining[0])];

            read_bits += read_in;
          }
      }

    return code;
  }

GIF.prototype.get_pixel = function(x, y)
  {
    if (0 <= x && x < this.width && 0 <= y && y < this.height)
        return this.gct[this.pixels[x+y*this.width]];
    else
        return null;
  }

GIF.prototype.init_code_dict = function()
  {
    var code_dict = [];

    for (var i = 0; i < this.gct.length; i++)
        code_dict[i] = [i];

    code_dict[Math.pow(2, this.min_code_size)] = 'clear';
    code_dict[Math.pow(2, this.min_code_size)+1] = 'end';

    this.code_dict = code_dict;
  }

GIF.prototype.to_canvas = function()
  {
    var canvas = unsafeWindow.document.createElement('canvas');
    canvas.width = this.width;
    canvas.height = this.height;
    
    var image = canvas.getContext('2d').getImageData(0, 0, canvas.width, canvas.height);
    image.coord_to_index = coord_to_index;
    image.set_pixel = set_pixel;
    image.get_pixel = get_pixel;

    for (var x = 0; x < this.width; x++)
        for (var y = 0; y < this.height; y++)
            image.set_pixel(x, y, this.get_pixel(x, y)[0]);

    canvas.getContext('2d').putImageData(image, 0, 0);

    return canvas;
  }


function NeuralNet()
  {
    this.h_layer = [];
    this.o_layer = [];
  }

NeuralNet.prototype.create_layer = function(weights)
  {
    var layer = [];

    for (var i = 0; i < weights.length; i++)
      {
        var neuron = new Neuron;
        neuron.threshold = weights[i][0];
        neuron.weights = weights[i][1];

        layer.push(neuron);
      }

    return layer;
  }

NeuralNet.prototype.feed = function(inputs)
  {
    var h_outputs = [];
    
    for (var i = 0; i < this.h_layer.length; i++)
      {
        this.h_layer[i].feed(inputs);
        h_outputs.push(this.h_layer[i].output());
      }

    for (var i = 0; i < this.o_layer.length; i++)
      {
        this.o_layer[i].feed(h_outputs);
      }
  }

NeuralNet.prototype.output = function()
  {
    var output = [];

    for (var i = 0; i < this.o_layer.length; i++)
      {
        output.push(this.o_layer[i].output());
      }

    return output;
  }

NeuralNet.prototype.test = function(inputs)
  {
    this.feed(inputs);
    return this.output();
  }


function Neuron()
  {
    this.activation = 0;
    this.bias = -1;
    this.threshold = 0;
    this.weights = [];
  }

Neuron.prototype.feed = function(inputs)
  {
    this.activation = 0;
    for (var i = 0; i < inputs.length; i++)
      {
        this.activation += inputs[i] * this.weights[i];
      }
    this.activation += this.bias*this.threshold;
  }

Neuron.prototype.output = function()
  {
    return 1/(1+Math.exp(-this.activation));
  }


function coord_to_index(x, y)
  {
    return x*4+y*4*this.width;
  }

function set_pixel(x, y, colour)
  {
    this.data[this.coord_to_index(x, y)] = colour;
    this.data[this.coord_to_index(x, y)+1] = colour;
    this.data[this.coord_to_index(x, y)+2] = colour;
    this.data[this.coord_to_index(x, y)+3] = 255;
  }

function get_pixel(x, y, colour)
  {
    return this.data[this.coord_to_index(x, y)];
  }


function check_receptors(image)
  {
    receptors = [];
    for (var x = 0; x < 33; x += 3)
        for (var y = 0; y < 30; y += 2)
            if (image.get_pixel(x, y) >= 128)
                receptors.push(1);
            else
                receptors.push(0);

    return receptors;
  }


function crop_canvas(canvas, start_point)
  {
    var image = canvas.getContext('2d').getImageData(0, 0, canvas.width, canvas.height);
    image.coord_to_index = coord_to_index;
    image.set_pixel = set_pixel;
    image.get_pixel = get_pixel;

    var char_pos = null;
    for (var interval = 25; interval > 1; interval = Math.floor(interval / 2))
      {
        for (var x = start_point[0]; x < start_point[0] + 50; x += interval)
          {
            for (var y = start_point[1]; y < start_point[1] + 50; y++)
              {
                if (image.get_pixel(x, y) == 255)
                    char_pos = [x, y];
              }
          }
        if (char_pos != null)
            break;
      }
    
    for (var dir = -1; dir <= 2; dir += 2)
        for (var x = char_pos[0]; 0 <= x && x < image.width; x += dir)
          {
            var white_pixels = 0;
            for (var y = Math.max(0, char_pos[1]-50);
                 y < Math.min(image.height, char_pos[1]+50); y += 4)
                if (image.get_pixel(x, y) >= 128)
                    white_pixels++;

            if (!white_pixels)
                for (var y = Math.max(0, char_pos[1]-50);
                     y < Math.min(image.height, char_pos[1]+50); y++)
                    if (image.get_pixel(x, y) >= 128)
                        white_pixels++;

            if (!white_pixels)
                if (dir == -1)
                  {
                    var im_left = x + 1;
                    break;
                  }
                else
                  {
                    var im_right = x - 1;
                    break;
                  }
          }

    for (var dir = -1; dir <= 2; dir += 2)
        for (var y = char_pos[1]; 0 <= y && y < image.height; y += dir)
          {
            var white_pixels = 0;
            for (var x = Math.max(0, char_pos[0]-50);
                 x < Math.min(image.width, char_pos[0]+50); x += 4)
                if (image.get_pixel(x, y) >= 128)
                    white_pixels++;

            if (!white_pixels)
                for (var x = Math.max(0, char_pos[0]-50);
                     x < Math.min(image.width, char_pos[0]+50); x++)
                    if (image.get_pixel(x, y) >= 128)
                        white_pixels++;

            if (!white_pixels)
                if (dir == -1)
                  {
                    var im_top = y + 1;
                    break;
                  }
                else
                  {
                    var im_bottom = y - 1;
                    break;
                  }
          }

    width = im_right-im_left;
    height = im_bottom-im_top;

    var cropped_canvas = unsafeWindow.document.createElement('canvas');
    cropped_canvas.width = 100;
    cropped_canvas.height = 100;
    cropped_canvas.getContext('2d').drawImage(canvas, im_left, im_top, width, height,
                                              0, 0, width, height);

    return cropped_canvas;    
  }


function decode(captcha)
  {
    var canvas = captcha.to_canvas();
    var image = canvas.getContext('2d').getImageData(0, 0, canvas.width, canvas.height);
    
    var blocks = get_blocks(image);
    var black_blocks = blocks[0];
    var white_blocks = blocks[1];

    var large_black = get_large_blocks(black_blocks, 4);
    var large_white = get_large_blocks(white_blocks, 3);

    var small_black = [];
    for (var i = 0; i < black_blocks.length; i++)
      {
        var in_large = false;
        for (var j = 0; j < large_black.length; j++)
            if (large_black[j].contains(black_blocks[i].items[0]))
                in_large = true;
        if (!in_large)
            small_black.push(black_blocks[i]);
      }

    var small_white = [];
    for (var i = 0; i < white_blocks.length; i++)
      {
        var in_large = false;
        for (var j = 0; j < large_white.length; j++)
            if (large_white[j].contains(white_blocks[i].items[0]))
                in_large = true;
        if (!in_large)
            small_white.push(white_blocks[i]);
      }
    
    try
      {
        chars = get_chars(image, large_black, large_white, small_black, small_white);
      }
    catch (e)
      {
        return false;
      }

    net = create_net();
    code = '';
    for (var i = 0; i < chars.length; i++)
      {
        receptors = check_receptors(chars[i]);
        code += guess_letter(net, receptors, i == 3);
      }

    return code;
  }


function get_blocks(image)
  {
    function sort_block(pixel1, pixel2)
      {
        return pixel1[0] - pixel2[0];
      }

    function min_size_count(blocks, min_size)
      {
        var count = 0;
        for (var i = 0; i < blocks.length; i++)
            if (blocks[i].items.length > min_size)
                count++;
        return count;
      }

    var canvas = unsafeWindow.document.createElement('canvas');
    canvas.width = image.width + 2;
    canvas.height = image.height + 2;
    canvas.getContext('2d').fillStyle = 'rgb(255,255,255)';
    canvas.getContext('2d').fillRect (0, 0, canvas.width, canvas.height);    
    canvas.getContext('2d').putImageData(image, 1, 1);

    image = canvas.getContext('2d').getImageData(0, 0, canvas.width, canvas.height);
    image.coord_to_index = coord_to_index;
    image.set_pixel = set_pixel;
    image.get_pixel = get_pixel;

    found = new Block();
    bg = get_colour_block(image, 0, 0);

    for (var i = 0; i < bg.items.length; i++)
        found.add(bg.items[i]);

    black_blocks = [];
    white_blocks = [];
    for (var x = 0; x < image.width; x++)
        for (var y = 0; y < image.height; y++)
          {
            var colour = image.get_pixel(x, y);
            var block = null;

            if (found.contains([x, y]))
                continue;

            if (colour == 0)
              {
                block = get_colour_block(image, x, y);
                block.items.sort(sort_block);
                if (block.items.length >= 5)
                    black_blocks.push(block);
              }
            if (colour == 255)
              {
                block = get_colour_block(image, x, y);
                block.items.sort(sort_block);
                if (block.items.length >= 5)
                    white_blocks.push(block);
              }

            if (block != null)
                for (var i = 0; i < block.items.length; i++)
                    found.add(block.items[i]);
          }
    
    while (min_size_count(black_blocks, 10) < 4)
      {
        var wide = 0;
        for (var i = 0; i < black_blocks.length; i++)
            if (black_blocks[i].items.length > black_blocks[wide].items.length)
                wide = i;

        var blocks = split_block(black_blocks[wide]);
        black_blocks.splice(wide, 1);
        black_blocks.splice(wide, 0, blocks[1]);
        black_blocks.splice(wide, 0, blocks[0]);
      }

    return [black_blocks, white_blocks];
  }


function get_chars(image, large_black, large_white, small_black, small_white)
  {
    chars = [];

    for (var i = 0; i < large_black.length; i++)
      {
        var canvas = unsafeWindow.document.createElement('canvas');
        canvas.width = image.width;
        canvas.height = image.height;
        canvas.getContext('2d').fillRect(0, 0, canvas.width, canvas.height);

        var image = canvas.getContext('2d').getImageData(0, 0, canvas.width, canvas.height);
        image.coord_to_index = coord_to_index;
        image.set_pixel = set_pixel;
        image.get_pixel = get_pixel;
        
        for (var j = 0; j < large_black[i].items.length; j++)
            image.set_pixel(large_black[i].items[j][0], large_black[i].items[j][1], 255);

        for (var j = 0; j < small_white.length; j++)
          {
            if (i > 0)
                if (small_white[j].items[0][0] < 
                    large_black[i-1].items[large_black[i-1].items.length-1][0] &&
                    small_white[j].items[small_white[j].items.length-1][0] >
                    large_black[i].items[0][0])

                    for (var k = 0; k < small_white[j].items.length; k++)
                        image.set_pixel(small_white[j].items[k][0],
                                        small_white[j].items[k][1], 255);

            if (i < large_black.length - 1)
                if (small_white[j].items[0][0] < 
                    large_black[i].items[large_black[i].items.length-1][0] &&
                    small_white[j].items[small_white[j].items.length-1][0] > 
                    large_black[i+1].items[0][0])

                    for (var k = 0; k < small_white[j].items.length; k++)
                        image.set_pixel(small_white[j].items[k][0],
                                        small_white[j].items[k][1], 255);
          }

        for (var j = 0; j < small_black.length; j++)
          {
            if (small_black[j].items.length < 30)
                continue;

            var common_columns = 0;
            for (var k = 0; k < small_black[j].items.length; k++)
                if (large_black[i].items[0][0] <= small_black[j].items[k][0] &&
                    small_black[j].items[k][0] <= 
                    large_black[i].items[large_black[i].items.length-1][0])
                    
                    common_columns++;

            if (common_columns < 10)
                continue;

            if (i > 0)
              {
                var common_previous = 0;
                for (var k = 0; k < small_black[j].items.length; k++)
                    if (large_black[i-1].items[0][0] <= small_black[j].items[k][0] &&
                        small_black[j].items[k][0] <= 
                        large_black[i-1].items[large_black[i-1].items.length-1][0])
                        
                        common_previous++;

                if (common_columns < common_previous)
                    continue;
              }

            if (i < large_black.length - 1)
              {
                var common_next = 0;
                for (var k = 0; k < small_black[j].items.length; k++)
                    if (large_black[i+1].items[0][0] <= small_black[j].items[k][0] &&
                        small_black[j].items[k][0] <= 
                        large_black[i+1].items[large_black[i+1].items.length-1][0])
                        
                        common_next++;

                if (common_columns < common_next)
                    continue;
              }

            for (var k = 0; k < small_black[j].items.length; k++)
                image.set_pixel(small_black[j].items[k][0],
                                small_black[j].items[k][1], 255);
          }

        /*if (i > 0)
            if (large_black[i].items[0][0] - 
                large_white[i-1].items[large_white[i-1].items.length-1][0] <= 5)

                for (var j = 0; j < large_white[i-1].items.length; j++)
                    image.set_pixel(large_white[i-1].items[j][0],
                                    large_white[i-1].items[j][1], 255);

        if (i < large_black.length - 1)
            if (large_white[i].items[0][0] - 
                large_black[i].items[large_black[i].items.length-1][0] <= 5)
                for (var j = 0; j < large_white[i].items.length; j++)
                    image.set_pixel(large_white[i].items[j][0],
                                    large_white[i].items[j][1], 255);*/

        
        canvas.getContext('2d').putImageData(image, 0, 0);

        var canvas2 = unsafeWindow.document.createElement('canvas');
        canvas2.width = 200;
        canvas2.height = 200;
        canvas2.getContext('2d').fillRect(0, 0, canvas2.width, canvas2.height);

        if (i % 2)
            canvas2.getContext('2d').rotate(0.08726646);
        else
            canvas2.getContext('2d').rotate(6.19591884);

        canvas2.getContext('2d').drawImage(canvas, 50, 75);

        var start_points = [[50, 65], [50, 70], [85, 55], [90, 80]];
        canvas = crop_canvas(canvas2, start_points[i]);

        image = canvas.getContext('2d').getImageData(0, 0, canvas.width, canvas.height);
        image.coord_to_index = coord_to_index;
        image.set_pixel = set_pixel;
        image.get_pixel = get_pixel;

        chars.push(image);
      }

    return chars;
  }


function get_colour_block(image, x, y)
  {
    function within(x, y)
      {
        return 0 <= x && x < image.width && 0 <= y && y < image.height;
      }

    var colour = image.get_pixel(x, y);
    var edge = [[x, y]];
    var block = new Block();
    block.add([x, y]);

    while (edge.length > 0)
      {
        var newedge = [];
        for (var i = 0; i < edge.length; i++)
          {
            var x = edge[i][0];
            var y = edge[i][1];
            var adjacent = [[x+1, y], [x-1, y], [x, y+1], [x, y-1]];
            for (var j = 0; j < adjacent.length; j++)
              {
                var s = adjacent[j][0];
                var t = adjacent[j][1];

                if (within(s, t) && !block.contains([s, t]) && image.get_pixel(s, t) == colour)
                  {
                    block.add([s, t]);
                    newedge.push([s, t]);
                  }
              }
          }
        edge = newedge;
      }
    return block;
  }


function get_large_blocks(blocks, count)
  {
    function sort_set(set1, set2)
      {
        return set1.items[0][0] - set2.items[0][0];
      }

    var large = [];
    for (var i = 0; i < blocks.length; i++)
      {
        if (large.length < count)
            large.push(blocks[i]);
        else
          {
            var greatest_diff = [0, null];
            for (var j = 0; j < large.length; j++)
              {
                var diff = blocks[i].items.length - large[j].items.length;
                if (diff > 0 && (diff > greatest_diff[0] || greatest_diff[1] == null))
                    greatest_diff = [diff, j];
              }
          
            if (greatest_diff[1] != null)
                large[greatest_diff[1]] = blocks[i];
          }
      }

    return large.sort(sort_set);
  }


function guess_letter(net, receptors, digit)
  {
    var output_map = ['1', '2', '3', '4', '5',
                      '6', '7', '8', '9', 'a',
                      'b', 'c', 'd', 'e', 'f', 
                      'g', 'h', 'k', 'm', 'n',
                      'p', 'q', 'r', 's', 't',
                      'u', 'v', 'w', 'x', 'y',
                      'z'];

    var output = net.test(receptors);

    var highest = 0;
    for (var i = 0; i < output.length; i++)
      {
        if (output[i] > output[highest] && ((!digit && i >= 9) ||
                                            (digit && i < 9)))
            highest = i;
      }

    if (!digit && highest == 0)
        highest = 9;

    return output_map[highest]
  }


function split_block(block)
  {
    histogram = [];

    var start = block.items[0][0] + 5;
    var end = block.items[block.items.length-1][0] - 5;

    for (var i = 0; i < block.items.length; i++)
        if (start <= block.items[i][0] && block.items[i][0] <= end)
          {
            if (histogram[block.items[i][0]] == undefined)
                histogram[block.items[i][0]] = 0;

            histogram[block.items[i][0]]++;
          }

    var low = start;
    for (var i = 0; i < histogram.length; i++)
        if (histogram[i] != undefined && histogram[i] < histogram[low])
            low = i;

    left = new Block();
    right = new Block();

    for (var i = 0; i < block.items.length; i++)
      {
        if (block.items[i][0] <= low)
            left.add(block.items[i]);
        if (block.items[i][0] >= low)
            right.add(block.items[i]);
      }

    return [left, right];
  }

function load_image(data)
  {
    var gif = new GIF();
    gif.from_array(data_array(data));

    var form = document.getElementById('captchaform');
    var textbox = document.getElementById('captchafield');
                
    textbox.style.fontWeight = 'normal';
    textbox.style.fontSize = '7pt';
    textbox.value = 'working...';
        
    textbox.value = decode(gif);
        
    form.submit();
  }


function data_array(data)
  {
    var data_array = [];

    for (var i = 0; i < data.length; i++)
        data_array.push(data[i].charCodeAt(0) & 0xff);

    return data_array;
  }


function start()
  {
    if (document.getElementById('downloadlink') != null)
      {
        if (GM_getValue('autostart', false))
            var text = document.createTextNode('Toggle auto-start (currently on)');
        else
            var text = document.createTextNode('Toggle auto-start (currently off)');

        var link = document.createElement('a');
        link.appendChild(text);
        link.setAttribute('href', '#');
        link.style.color = '#000000';
        link.style.fontWeight = 'bold';
        link.style.textDecoration = 'none';

        link.addEventListener('click', toggle_autostart, false);

        var div = document.getElementsByTagName('div')[10];
        div.appendChild(document.createElement('br'));
        div.appendChild(link);

        if (GM_getValue('autostart', false))
            window.location.href = document.getElementById('downloadlink').firstChild.href;

      }
    
    else if (window.location.href.match('\\?d='))
      {
        var image = document.getElementById('captchaform').parentNode.getElementsByTagName('img')[0];

        GM_xmlhttpRequest({method: 'GET',
                          url: image.src,
                          overrideMimeType: 'text/plain; charset=x-user-defined',
                          onload: function(response) { load_image(response.responseText); }
                          });
      }
  }


function toggle_autostart(e)
  {
    if (GM_getValue('autostart', false))
      {
        GM_setValue('autostart', false);
        e.target.firstChild.nodeValue = 'Toggle auto-start (currently off)';
      }
    else
      {
        GM_setValue('autostart', true);
        e.target.firstChild.nodeValue = 'Toggle auto-start (currently on)';
        window.location.href = document.getElementById('downloadlink').firstChild.href;
      }
  }

start();

function create_net()
  {
    //pre-calculated weights
    var h_weights = [[0.77147127757444922, [-0.42600496276709426, 0.28429531740208641, -0.035814287496662128, -0.55078872245288091, -0.74385507315234367, -0.28009741133696231, -0.44084718613931467, -0.42425160544268653, -0.37664922950953605, 0.26562226332146316, 0.038291525814433604, -0.82493266767538209, -0.72883179428492217, 0.5784242294757056, 0.0038283047274942916, -0.074447918400339513, 0.78969514584390021, 0.85325743412218857, -0.048194486727984306, -0.89044565367884809, 0.67200747305210828, 1.0267318957795655, 0.88859356121484023, 0.94713218465935645, 1.091344490781647, 0.47681236607650251, -0.4368491875326892, 0.36233853877812711, -0.37211113662603379, 0.83590671256989024, 0.23304104898986827, 0.50381793230910188, 0.51599371420069851, 0.6259197581469681, 0.075767029435181113, -0.60758522315326591, -0.62486204361829356, 0.19242069602524717, -0.096585276564459949, -0.7517610887051609, 0.75382181224443956, -1.1738139178968903, 0.0031997411605333495, -0.71416885669313812, -0.04722441841604641, -0.75869123586125375, 0.15241268884778569, 0.68582676461268466, -0.070525893160479275, -0.86158589302405453, 0.67483357162994084, 0.053300469889485044, -0.65509862013883335, -0.050872263677536007, -0.28206194711578308, -0.28661491660930083, -1.0449356843051156, -1.0060829542650029, 0.63256090916325691, 0.71846097823567545, -0.045695235135695213, -0.45470222100458557, 0.20963394742633998, 0.62901536885680165, -1.1798237378255509, -0.26928875976143762, -0.028075526849956262, 0.93088463179378633, -0.1497856088321948, 0.059395612517939567, 0.2400555430652857, -0.20846535129443858, -0.8366926924042668, -0.16103622140837498, -0.79779030402584117, 0.81599815180635149, 0.64534663281843707, -0.29251601480095962, -0.26668066773880128, -0.47648440284247323, 0.15462269898002634, 0.62600114137019724, 0.38861679896731643, -0.70628870133254573, 0.20424361722183568, -0.56294138911922753, -0.13999422098253825, 0.12989851655350923, 0.50111197508469829, -0.3801343764713323, 0.66994868491877713, -0.3342905965210311, 0.30032457982923444, -0.66916284832441242, 0.43887769186939735, 0.47630324263614543, 0.062685759668564822, 0.22422622196863426, -0.05596626278188669, 0.75424868239582021, 0.99686007613834593, 0.66227906755625354, 0.54190580301495461, -0.12406755646388895, -0.50205709876501747, 0.70787365293012661, 0.8039871030148199, -0.12838497088662107, -0.0010475489623066291, 0.29242142028177759, -0.75762592654848704, 1.0487196287312286, -0.65916336124871611, 0.69593527235864039, -0.70915391377516035, 0.2524393294897615, 0.72858916359040959, 0.49709497115230877, 0.37346426931487803, -0.27044946199830927, 0.48721769048258573, -0.19476540331433359, 0.95812973232207865, -0.1070736094554086, 0.85528414928883811, 0.7005270250811414, -0.50764426712515354, 0.55293456473022207, -0.41033897222123755, 0.79113378101106102, -0.54191056812543448, 0.67849250041921294, -0.97628978215807272, 0.042239161608192216, -0.84036926666981082, 0.22670295104837518, -0.81925765692570163, 0.89451988085762835, 0.38896621539816995, 0.45516740808832018, -0.78111419160980622, 0.16171983657995886, 0.010709748656962172, -0.32596912065497508, 0.84354671249056423, -0.20375425694993901, -0.39077142135748927, -0.1069828506966137, 0.99034120591639563, -0.4749038775441965, -0.69179832326868307, -1.0165938459963881, 0.10392426644455058, -1.0026733262351815, -0.89556115569619987, 0.45882189141837287, 0.34248138002108236, -0.91507806175180328, 0.53076237835205653, -0.74524366749746229, -0.86166956189707644, 0.66195113394593785, -0.95588159849934096, -0.53187108639297831, 0.046875693976365262]],
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    var net = new NeuralNet;
    net.h_layer = net.create_layer(h_weights);
    net.o_layer = net.create_layer(o_weights);

    return net;
  }