<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:blogger='http://schemas.google.com/blogger/2008' xmlns:georss='http://www.georss.org/georss' xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-8227486216556533230</id><updated>2024-10-02T05:04:43.282+07:00</updated><category term="CNC"/><title type='text'>All About CNC</title><subtitle type='html'></subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://cncmasters.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default?redirect=false'/><link rel='alternate' type='text/html' href='http://cncmasters.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>7</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-8227486216556533230.post-587251051389460255</id><published>2011-12-27T07:08:00.001+07:00</published><updated>2011-12-27T07:27:47.064+07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="CNC"/><title type='text'>Basic CNC Programming (Part 3) : Programming System</title><content type='html'>&lt;div dir=&quot;ltr&quot; style=&quot;margin-right: 0px; text-align: justify;&quot;&gt;
&lt;b&gt;Programming Systems&lt;/b&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;div dir=&quot;ltr&quot; style=&quot;margin-right: 0px; text-align: justify;&quot;&gt;
Two types of programming modes, the incremental system and the absolute system, are used for CNC. Both systems have applications in CNC programming, and no system is either right or wrong all the time. Most controls on machine tools today are capable of handling either incremental or absolute programming.&lt;/div&gt;
&lt;br /&gt;
&lt;div dir=&quot;ltr&quot; style=&quot;margin-right: 0px; text-align: center;&quot;&gt;
&lt;img height=&quot;296&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgTy8Wp6HoB_lqv0LFIAGiggRJhna0U0bQmTNG9lgICmw0JMuy4fS1pFfnq-BrN8erYekOhcwp_S9ZNlVk1WygIOtN6CBSl09ljpO5qqVFKlrAGaLweR1Q_Lvant0l2GXmMjd7ZEdawFwQ/?imgmax=800&quot; style=&quot;border-bottom: #000000 1px solid; border-left: #000000 1px solid; border-right: #000000 1px solid; border-top: #000000 1px solid; display: block; height: 187px; margin-left: auto; margin-right: auto; text-align: center; width: 527px;&quot; width=&quot;741&quot; /&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Incremental program locations are always given as the distance and direction from the immediately preceding point (Fig. 6). Command codes which tell the machine to move the table, spindle, and knee are explained here using a vertical milling machine as an example:&lt;/div&gt;
&lt;br /&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;img height=&quot;481&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEizGrso-INgE_zMWkaiOhAu0kfeBEVVrfA7X1qnzc76BLGLOomhly42X7KTear4L6cy7W82QlDCykFO-cliSaBBjbpYhpG-3oIZ-RfUPfzC5R5hZdp_sgl5MJQpW5Y7dQ7bMwLwBL_pE74/?imgmax=800&quot; style=&quot;border-bottom: #000000 1px solid; border-left: #000000 1px solid; border-right: #000000 1px solid; border-top: #000000 1px solid; display: block; height: 283px; margin-left: auto; margin-right: auto; text-align: center; width: 520px;&quot; width=&quot;909&quot; /&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;ul&gt;&lt;br /&gt;
&lt;li&gt;&lt;br /&gt;&lt;div style=&quot;text-align: justify;&quot;&gt;
A &quot;X plus&quot; (X+) command will cause the cutting tool to be located to the right of the last point.&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;A &quot;X minus&quot; (X-) command will cause the cutting tool to be located to the left of the last point.&lt;/li&gt;
&lt;li&gt;A &quot;Y plus&quot; (Y+) command will cause the cutting tool to be located toward the column.&lt;/li&gt;
&lt;li&gt;A &quot;Y minus&quot; (Y-) will cause the cutting tool to be located away from the column.&lt;/li&gt;
&lt;li&gt;A &quot;Z plus&quot; (Z+) command will cause the cutting tool or spindle to move up or away from the workpiece.&lt;/li&gt;
&lt;li&gt;A &quot;Z minus&quot; (Z-) moves the cutting tool down or into the work-piece.&lt;/li&gt;
&lt;/ul&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
In incremental programming, the G91 command indicates to the computer and MCU (Machine Control Unit) that programming is in the incremental mode.&lt;/div&gt;
&lt;br /&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Absolute program locations are always given from a single fixed zero or origin point (Fig. 7). The zero or origin point may be a position on the machine table, such as the corner of the worktable or at any specific point on the workpiece. In absolute dimensioning and programming, each point or location on the workpiece is given as a certain distance from the zero or reference point.&lt;/div&gt;
&lt;br /&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;img height=&quot;497&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj5i9IKmp2jZ9AKVLuiLKM910yo8HaLV_nMAKzFZubseFHIzXz6dkmGa0cO_diWHQrWTwiJVa8JmdIyQfMof4sldpI7dI2Ba7fn6L1hUDsgFb6y9jqMcmqT21tO9Cfvs5lzUAkh3dyka-E/?imgmax=800&quot; style=&quot;border-bottom: #000000 1px solid; border-left: #000000 1px solid; border-right: #000000 1px solid; border-top: #000000 1px solid; display: block; height: 251px; margin-left: auto; margin-right: auto; text-align: center; width: 461px;&quot; width=&quot;873&quot; /&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;ul&gt;
&lt;li&gt;A &quot;X plus&quot; (X+) command will cause the cutting tool to be located to the right of the zero or origin point.&lt;/li&gt;
&lt;li&gt;A &quot;X minus&quot; (X-) command will cause the cutting tool to be located to the left of the zero or origin point.&lt;/li&gt;
&lt;li&gt;A &quot;Y plus&quot; (Y+) command will cause the cutting tool to be located toward the column.&lt;/li&gt;
&lt;li&gt;A &quot;Y minus&quot; (Y-) command will cause the cutting tool to be located away from the column.&lt;/li&gt;
&lt;/ul&gt;
&lt;br /&gt;
In absolute programming, the G90 command indicates to the computer and MCU that the programming is in the absolute mode.&lt;br /&gt;
&lt;br /&gt;
Source : &lt;b&gt;&lt;i&gt;Computer Numerical Control Programming Basics / Steve Krar, Arthur Gill&lt;/i&gt;&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
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&lt;div style=&quot;clear: right; float: right; margin-bottom: 1em; margin-left: 1em;&quot;&gt;
 &lt;/div&gt;
&lt;br /&gt;
&lt;u&gt;&lt;b&gt;CNC Machine Types&lt;/b&gt;&lt;/u&gt;&lt;b&gt;&amp;nbsp;&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;b&gt;1. CNC Lathe&lt;/b&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
The engine lathe, one of the most productive machine tools, has always been an efficient means of producing round parts (Fig. 4). Most lathes are programmed on two axes.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;blockquote class=&quot;tr_bq&quot;&gt;
&lt;table cellpadding=&quot;0&quot; cellspacing=&quot;0&quot; class=&quot;tr-caption-container&quot; style=&quot;margin-left: auto; margin-right: auto; text-align: center;&quot;&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style=&quot;text-align: center;&quot;&gt;&lt;a 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&quot; imageanchor=&quot;1&quot; style=&quot;clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto;&quot;&gt;&lt;img alt=&quot;&quot; border=&quot;0&quot; height=&quot;212&quot; 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&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;tr-caption&quot; style=&quot;text-align: center;&quot;&gt;Fig. 4 The main axes of a lathe or turning center. (Emco Maier Corp)&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;ul&gt;
&lt;li&gt;The X axis controls the cross motion of the cutting tool. Negative X (X-) moves the tool towards the spindle centerline; positive X moves the tool away from the spindle centerline.&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li&gt;The Z axis controls the carriage travel toward or away from the headstock.&lt;/li&gt;
&lt;/ul&gt;
&lt;/blockquote&gt;
&lt;b&gt;2. Milling Machine&lt;/b&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
The milling machine has always been one of the most versatile machine tools used in industry (Fig. 5). Operations such as milling, contouring, gear cutting, drilling, boring, and reaming are only a few of the many operations which can be performed on a milling machine. The milling machine can be programmed on three axes:&lt;/div&gt;
&lt;table align=&quot;center&quot; cellpadding=&quot;0&quot; cellspacing=&quot;0&quot; class=&quot;tr-caption-container&quot; style=&quot;margin-left: auto; margin-right: auto; text-align: center;&quot;&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style=&quot;text-align: center;&quot;&gt;&lt;img alt=&quot;&quot; height=&quot;230&quot; 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&quot; style=&quot;margin-left: auto; margin-right: auto;&quot; width=&quot;320&quot; /&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;tr-caption&quot; style=&quot;text-align: center;&quot;&gt;Fig. 5 The main axes of a vertical machining center. (Denford Inc.)&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;div style=&quot;text-align: center;&quot;&gt;
 &lt;/div&gt;
&lt;blockquote class=&quot;tr_bq&quot;&gt;
&lt;ul&gt;
&lt;li&gt;The X axis controls the table movement left or right.&lt;/li&gt;
&lt;li&gt;The Y axis controls the table movement toward or away from the column.&lt;/li&gt;
&lt;li&gt;The Z axis controls the vertical (up or down) movement of the knee or spindle. &lt;/li&gt;
&lt;/ul&gt;
&lt;/blockquote&gt;</content><link rel='replies' type='application/atom+xml' href='http://cncmasters.blogspot.com/feeds/8158475433000844887/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://cncmasters.blogspot.com/2011/12/basic-cnc-programming-part-2-cnc.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default/8158475433000844887'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default/8158475433000844887'/><link rel='alternate' type='text/html' href='http://cncmasters.blogspot.com/2011/12/basic-cnc-programming-part-2-cnc.html' title='Basic CNC Programming (Part 2) : CNC Machines'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-8227486216556533230.post-8563125874282874821</id><published>2011-12-26T05:25:00.001+07:00</published><updated>2011-12-26T05:29:23.979+07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="CNC"/><title type='text'>Basic CNC Programming  (Part 1)</title><content type='html'>&lt;br /&gt;
&lt;table align=&quot;center&quot; cellpadding=&quot;0&quot; cellspacing=&quot;0&quot; class=&quot;tr-caption-container&quot; style=&quot;float: right; margin-left: 1em; text-align: right;&quot;&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style=&quot;text-align: center;&quot;&gt;&lt;img alt=&quot;&quot; height=&quot;159&quot; 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&quot; style=&quot;margin-left: auto; margin-right: auto;&quot; width=&quot;200&quot; /&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;tr-caption&quot; style=&quot;text-align: center;&quot;&gt;Fig. 1 Intersecting lines form right angles and&lt;br /&gt;
establish the zero point (Allen-Bradley)&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;div style=&quot;clear: right; float: right; margin-bottom: 1em; margin-left: 1em; text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;b&gt;Cartesian Coordinate System&lt;/b&gt;&lt;br /&gt;
&lt;table cellpadding=&quot;0&quot; cellspacing=&quot;0&quot; class=&quot;tr-caption-container&quot; style=&quot;float: right; margin-left: 1em; text-align: right;&quot;&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style=&quot;text-align: center;&quot;&gt;&lt;a 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&quot; imageanchor=&quot;1&quot; style=&quot;clear: right; margin-bottom: 1em; margin-left: auto; margin-right: auto;&quot;&gt;&lt;img alt=&quot;&quot; border=&quot;0&quot; height=&quot;183&quot; 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&quot; width=&quot;200&quot; /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;tr-caption&quot; style=&quot;text-align: center;&quot;&gt;Fig. 2 The three-dimensional&lt;br /&gt;
coordinate planes (axes) used in&lt;br /&gt;
CNC. (The Superior Electric&lt;br /&gt;
Company)&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Almost everything that can be produced on a conventional machine tool can be produced on a computer numerical control machine tool, with its many advantages. The machine tool movements used in producing a product are of two basic types: point-to-point (straight-line movements) and continuous path (contouring movements).&lt;br /&gt;
The Cartesian, or rectangular, coordinate system was devised by the French mathematician and philosopher Rene’ Descartes. With this system, any specific point can be described in mathematical terms from any other point along three perpendicular axes. This concept fits machine tools perfectly since their construction is generally based on three axes of motion (X, Y, Z) plus an axis of rotation. On a plain vertical milling machine, the X axis is the horizontal movement (right or left) of the table, the Y axis is the table cross movement (toward or away from the column), and the Z axis is the vertical movement of the knee or the spindle. CNC systems rely heavily on the use of rectangular coordinates because the programmer can locate every point on a job precisely.&lt;br /&gt;
When points are located on a workpiece, two straight intersecting lines, one vertical and one horizontal, are used. These lines must be at right angles to each other, and the point where they cross is called the origin, or zero point (Fig. 1)&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
The three-dimensional coordinate planes are shown in Fig. 2. The X and Y planes (axes) are horizontal and represent horizontal machine table motions. The Z plane or axis represents the vertical tool motion. The plus (+) and minus (-) signs indicate the direction from the zero point (origin) along the axis of movement. The four quadrants formed when the XY axes cross are numbered in a counterclockwise direction (Fig. 3). All positions located in quadrant 1 would be positive (X+) and positive (Y+). In the second quadrant, all positions would be negative X (X-) and positive (Y+). In the third quadrant, all locations would be negative X (X-) and negative (Y-). In the fourth quadrant, all locations would be positive X (X+) and negative Y (Y-).&amp;nbsp;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
In Fig. 3 , point A would be 2 units to the right of the Y axis and 2 units above the X axis. Assume that each unit equals 1.000. The location of point A would be X + 2.000 and Y + 2.000. For point B, the location would be X + 1.000 and Y - 2.000. In CNC programming it is not necessary to indicate plus (+) values since these are assumed. However, the minus (-) values must be indicated. For example, the locations of both A and B would be indicated as follows:&lt;br /&gt;
A X&amp;nbsp; 2.000&amp;nbsp; Y&amp;nbsp; 2.000&lt;/div&gt;
B X&amp;nbsp; 1.000&amp;nbsp; Y&amp;nbsp; -2.000&lt;br /&gt;
&lt;table align=&quot;center&quot; cellpadding=&quot;0&quot; cellspacing=&quot;0&quot; class=&quot;tr-caption-container&quot; style=&quot;margin-left: auto; margin-right: auto; text-align: center;&quot;&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style=&quot;text-align: center;&quot;&gt;&lt;img alt=&quot;&quot; height=&quot;311&quot; 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qampqalpaGjAe09dXV1DQwOMUFFRUV5eXk5OTkxMTFpaWkZGRlZWVkJCQlxcXFxcXFhYWEhISEBAQFhYGF6DAgIC4uLi/Pz8vLy8kydP5uLimjRpEjs7OxMTEwsLCwsLCwMDA/xpx22i/evByMjIyMgImsjMzMzMzDz6u6ysrCCpYGYsLCxwwcHBAWrLyso6efJkXl5eTk5OHh4e0GU+Pj4BAQG4LygoCE6TpKQkbErExcUl+xUyMjJKSkrKyspycnLq6urKysrgSampqSkrKysrK+vo6BgYGBgaGsI7w8DAQFdXF14nJiYmDg4O2tranJycCCEpKSlzc3MbGxtLS0sLCwtbW1sHB4epU6c6ODg4Ozvb29vb2NjAtY2Nja2trZOTk4ODA3iFM2bMmDFjhpubm7u7+8yZM93d3WfNmmVgYIAQEhERcXFxmTt3rqenJ7iZ8+fP9/DwmDdvHlx7eXktWrRo0aJFCxcuXLhw4ZIlS/z8/JYtW7ZkyZIlS5YsXbp00aJFvr6+8Ipdvny5k5MTAwODjIyMp6fnsmXL1q5du2LFivXr12/atInq3q5evXr9+vXr1q1bv349eMQ7duzYuHHj5s2bd+3atXv3brhz+PDhM2fOgOvg4eHBzMwsKysbGBh4/Pjx48ePHzt27PTp06dPnz579uylS5dCQkLOnj177ty506dPnzlzJiws7OrVq1euXLlx48atW7fCw8Pv3bt39+7d8PDwiIiIx48fP3ny5MmTJ4cPH5aQkEAIHTp0aLyF6ltMCPV89+4d7B70i6BaIBMTEwMDA/UFiBDi4OAAXwasbvLkyZycnLy8vEJCQtzc3GBjoqKi8K+0tLS0tLSoqChYkYKCAii4ioqKmpqaurq6kpIS0Kqpqenq6hoaGhoZGZmYmFhYWFhZWZmZmRkaGlpaWjo5OU2bNs3e3n7q1KnTvmLGjBnu7u4QVTk7O7u7u8+bN8/b29vHx2fBggXwOUhISPj5+fn5+S1cuBCswt/f39fXd9GiRcuWLVu+fPmyZcs2bNiwYsUKmPcbNmxYu3btunXrAgIC4MvNmzdv3bp127ZtAQEB27Ztc3NzQwjJysqCSwtTf/fu3fv37z98+HBgYGBgYOCBAwd2794dGBgYHBwcFBQU/BXgJp8+ffro0aNUqzh58uSRI0dgMYyiouKBAwdCQkJCQkLOnTt38eLFq1evXrp0KTQ0FLz1K1euXL169e7duxDtXr16NSws7I8//vjjjz/u3Llz//798PDw+/fv3717NyIiIiIiYvny5fDx2tnZ3blzJyoq6smTJ48fP46MjHz48OGjR48ePXoUGRkJMfiDBw+eP38O1y9evIiOjn79+nVMTEx0dPTLly9fvnz56tUriEWioqIcHBwQQjt37kxMTHz79u379+8TExPT0tIgG5CRkfHx48fY2Nj379+npaUlJyd/+PDhy5cv+fn5kJfIy8vLz8/Pzc3Nzc0tLi4uKSmpq6v79OnT/PnzEUJHjhypqKiorq6GLF5VVVVdXV1jY2NtbS3k/ioqKiBVUl1dXVNTA9nA+vr65ubmlpYWyDNCXqW9vb2joyM8PJyTk3POnDmlpaWQlASQSKSenh5IX3Z3d5PJ5IGBgYGBgb6+PmpuFBJBg4ODFAqlv79/cHCQ2soTHR3Ny8s7f/78hoYGSDFBEhYwMjJCzdL+IyQkJIiIiHh7e+PtVq6rqzMxMUEI7du3DyMtFkwI9Xz9+jUvLy9CaPny5Tdv3rxx48Yff/xx//59SEXdvXv30VdAxgpeStHR0W/evImOjn7+/PnLly8TExOTkpLi4uKSk5Pfv3//9u3b+Pj4+/fvI4RcXV1TU1NTUlKSkpLev3+fmpqanp7+4cOHjIwMSKtRb378+DEtLS0nJyc7Oxtyc0VFRZDFA8sB48nLyxMXF5eXl//8+XNRUVF+fn5JSUlVVVVNTQ0YT0lJSWVlJSQNwUIgp15fX9/Q0ADWAvl1SMBDOrK7u9vd3R0hFBAQ0Nvb29XV1dbWBt+ipjU7Ozu7urp6e3vBVKjXYFFgQmAtUFvo7+8fGhp69+4dQsjd3Z1CoQx+BTU/C4lX4j+tiIq/KKbl5uZycnJOmzYNCh24QD3bZ/369RiZ+/v7AwICmJmZ8Z4ONDw8HBAQQEdHN/okIix48+YNJyfnsmXLyGQyRtqYmBgeHp6FCxfiPeIlPj5eSEhowYIFeLcZbWhoAPWcgJuCTwj1fPXqFey99vz5c7zMZDIZIbRx40a8tARBaGho6OvrY6cFtwv7RElMTEQIeXt746X98uULBweHm5sbXlp45yGENmzYgFE9+/r61q1bx8TE9OjRI1ycBEEMDg7CZkiPHz/GSEsQREJCgqCg4MKFC7u7uzHSvn79mpube+HChXhlLiMjQ0ZGZtasWXi1vrm5GTaKpvmePwZVPRMSEvAyUygUhNDmzZvx0hIEoaCgQD23CyNAPffv34+X9tOnTwghBwcHvLRFRUXc3NxOTk54D/58/PgxqOfq1asxMg8ODm7ZsoWenh6veg4NDW3evBkhhH2zatCj2bNnd3Z2YqT9+PGjpKSkm5sbXlHOysqSlZV1cnLq6enBSEsikWxsbBBCW7duxUiLBRNCPd+8eQPqGRMTg50cIbRgwQLstKamprKysthpN23aBBErXtq8vDwWFhZnZ2e8tAUFBby8vNbW1u3t7RhpIyIiQD1XrlyJ0ZHp6+uDj/fevXu4OKENE3zPq1ev4qIFJCQkCAgIzJ8/v6urCyPtq1evuLi45s2bh1fmEhMTRURE3N3d8fqejY2NELnv3LkTIy0WjLN6Qhqbmvd88OAB9l+BfnSU66/DyMhIUVEROy1sJ4491fDp0yd6enoXFxe8S4Bzc3MnTZrk4OCAsVAwMjJy8+ZNUM9Vq1Zh9D0hckcI3b9/HxcnQRADAwMgyteuXcNISxBESkqKqKioh4cHXpmLi4sTEBCYNWsWdt9TTk7OxcUFbzq1tbUVIveAgACMtFgwIXzP6Oho8D2xZ46Gh4cRQv7+/nhpCYLQ1NRUUlLCvh/BkiVLxsL3hMjdzs4Ob3mnoKCAm5sbr3oSBPHgwQNQz6VLl2J0ZIaGhrZv3479JT00NARbyd28eRMjLUEQ6enp4uLinp6eeBOU79+/FxQUnDdvHl71zMjIkJaWdnFxwUtbX19vZGREU88/BVU9//jjD+zk9PT0YxG56+rqSktLY1/cCadmbtiwAS9tRkYGQmjatGl4aQsKCri4uBwdHfGuoouMjAT1XLFiBUZm6o6ZDx8+xMVJEMTg4GBAQABCKDw8HCMtQRCZmZmSkpKenp54vbnk5GRhYWEPDw/svqeMjMzMmTPxjrahocHY2HgsXIpfx4RQz1evXo1R5D4yMoIQ8vX1xUtLEISampq2tjZ2Wggtt2/fjpf248ePCCHsxfHCwkJQT7y+J1U9ly1bhpGZQqGAemKvGgEtxnQqIDs7W15e3t3dHW/V6MOHD6KiohirRtAc+vnzZzk5OWdnZ7x5ho6ODisrK1rV6E/x7t07Pj6+sYjcCYIAFwY7rYGBgZyc3A8bJH8FYIdr1qzBSwundTo4OOB1lsvKyvj5+bFH7k+fPqWqJ8bIfXBwcMeOHdhlbnh4GBICt27dwkhLEERSUpKoqKinpyfeqlFsbCw/P7+Pjw+uWh/kr6BqhL2UX1ZWBid1T8DDECeEer5//x7UcyyqRiwsLH5+fthpLSws1NXVsdNCx9KOHTvw0n748GEs+j0LCwt5eHgcHR3xJubu3r07Fv2eJBJp5cqVjIyMeKdZX1+fv78/dpeWIIioqCh2dnYfHx+8evT27Vs+Pj7s3fI5OTny8vIzZszA6ym3tLRA1WjJkiUYabFgQqhnTEwM5D2jo6PxMkPVaCx8T2Vl5SlTpmCn9fT0HAv1hG75efPm4aXNzc1lZ2d3cHDAa4cPHz4E9VyyZAnejiVw7a9cuYKLkyCIkZGRPXv2IIQuXryIkZYgiNzcXBUVFSsrq5aWFoy0nz9/VlRUtLS0bGtrw0ibn5+voqJibm6OVz07OzstLS0RQrNmzcJIiwUTQj2TkpL4+fnHIu9OEAQ9Pb2Hhwd2WmtrayEhIeyRO8SAPj4+eGlzc3OZmZnNzc3xOomFhYWTJ082MzNramrCSPvkyRNQT29vb4xBa39//9atWxFC169fx8VJEMTQ0BDQnjt3DiMtQRApKSnQQYlXj+Li4vj4+GbNmoU3QZmamiohIYG9atTU1AT9nthdil/Hf1fPn9sy4B8hLS1NQEAAIXT+/Hm8zFA1cnV1xUtLEIS+vr6EhATeBiCCICAGXLVqFV5aiNwdHBzwDjgvL4+bm9ve3h5vgzTV98Rbc4dueTo6OrwhNoVCgbVGN27cwEhLEERqaqqYmNjs2bM7Ojqw07q5ueFNp0LVyMHBAbvvCVWj1atXY6TFgr+lntg14htQV2ribWMmCKKvr2+Mau7KysoqKirYaSHvib21DWruU6dOxUsLa41sbW3x2uGzZ89APRcvXowx5Tc4OAhOIt6qEbVbHq9LSxBERkaGlJSUs7Mz3hD7w4cPYmJiU6dOxSvK0O/p6OiIdzJQ1XPdunUYabHgb0XuY31GXXx8PFSNsOfdBwcHx6JThxizlZqw5g97a1taWhpCyNHRES9tTk4OFxeXra0t3rIG1ffEq57Ufk+8C9IHBgZAlMPCwjDSEl87lmxtbVtbWzHSpqeny8jIYKfNzs5WUFAwNTXFm6UlkUi2trZjtGLwFzEh8p6xsbHQ74m3jZkYS/W0t7cXFxfH7pVD3zX2xVGZmZkMDAz29vZ4O5YKCwuFhIQsLS3xrnN/8eIFqKevry9e33Pv3r0IodDQUFycxKiq0ZkzZzDSEgTx5csXZWVlOzs7vGllcBLt7e3x+p55eXnKysrGxsbY1RN2CVm0aBFGWiyYEOpJrRphXylMEAQ3N7eVlRV22rlz5/Ly8uLdW4ggCDBv7K1FOTk5HBwc9vb2eMOImpoaKSkpExOT5uZmjLTUbnkfHx+MFj40NLRv3z7qNMP1IhkaGtq2bRtC6PLly1gIqUhOToYOSrwyl5iYKCoq6uLigt2llZKSMjU1xUvb1dUFkftY1H5/ERNCPZOTk6FqhF09h4aG2NjYXFxc8NISBGFhYSEqKoq3S5wgCIgB165di5c2NzdXRkbGwcEBr9zn5+fz8vLa2dnhLbNS9/dctGgRxhIEdUklbIaEq9JF7ZY/e/YsFkIqYN8NJycnvC+njIwMWVlZS0vL+vp6jLTFxcUaGhp6enqNjY0YaXt7e8H3HIva7y9iQqgnda3RWKxzH6PP3cjISEREBHvHEqgn9oX5OTk5TExMVlZWeOW+pKRESEjI2Ni4rq4OIy11rZGXlxfGyH14eHj//v1j4SQGBgaORcdIfn6+urq6paVlQ0MDRtqsrCwFBQUzM7OxoNXX18er9Z2dndbW1gihOXPmYKTFggmhntTIHXvVkiAIJiYmMzMz7LTW1ta8vLx4O3UIgoAYcObMmXhp8/Pz2dnZLS0t8Q64sLBQWFjYxMQErxdDrbnPnz8fr+8JCcoLFy7gzWAALXb1TE9Pl5SUtLOzw+vNZWVlycvLm5qa4pW5nJwcJSUl7L4ntWqEfY+bX8eEUM9Pnz4JCQmNxWoNgiCYmZmtra2x05qYmPDw8OBtPie+qif212x2djY9Pb2VlRXeELuwsFBAQAB7tzzV9/Tw8MBYj6Kq58mTJ/Gq54EDBxBCQUFBeGk/f/4sLy9vaWmJV+ZgCZORkRFe3zMvL09VVVVPTw/vq5RaNcLeMfLrmFjqib1qSRAEIyOjubn5z/0snE34w28ZGxtzcHDgTecTXyP3sWjMZGVlNTc3x9taVFlZKSEhMWXKFLyRe1RUFFU98VaNDh06hD1BSaFQQJSxqyfInIWFBd6XU3JysoSEhLW1Nd7ieHZ29lgsAG1qajIzMxuLdca/jgmhnjk5OcLCwgihY8eO4WWmUCjMzMw/vY1bCMkAACAASURBVCCdeojr97CwsODg4MBYXoRftHPnToSQu7s7LlpAZmYmQsjW1hZvi1VxcbGwsLC5uTneMiv1XKMFCxZgVM/h4WFIUOJNEI2MjECnBPbIPTMzU0lJyd7eHm8snJ6eLicnZ2tri/fdn5OTo6ysbGZmhleU+/r64BxpJycnjLRYMCHUk1pzx7t9A/F1l5CfPs/nL1yJKVOmiIiI/NNAmHr275/9LogBsfd7ZmVlMTIyYlfPsrIyCQkJY2NjXMEafDivX7+mp6eHjiVq3vPXlwtTKBT4eEHmft1PHBkZAV/+4MGDY1Fzh83ZbG1t8XpzRUVFmpqadnZ2eLt0y8vLdXR0sKdxBgcHHR0dx6hr+xcxIc41yszMhMidus/CX6jMPwUnJ6epqSkWKgAMbPbs2ezs7Ngj91OnTkG15KcH9kPk5+dzc3Pb2tri7VhqbGyExBxeO3z9+jUdHR32XUJGRkaOHDkyFul1SAicPn3650b1zR+OKuulpaWgnrW1tfDaG6348INwZ2RkhMoDS6spFMrw8DCFQunv7x8YGOjt7SWTyRQKpa+vLzU1VUVFxczMrKqqqq+vDx6gXvT39/f29g4MDPT09PT29vb19ZHJZBKJNDg42N/fT6FQyGRyT09PT09PV1dXT09PZ2dnR0dHR0dHVlaWrq6usrJyeno6iUTq6OhoaWmBb8Ezra2tTU1NNTU1VVVVNTU1dXV1TV/R0NDQ3Nzc2NhYX1/f2NhYW1vb2NjY0NDQ1NSUk5MDu4TY2Nj89B9ojDAhfM+srCyI3Mci7ykqKmpiYoKd1s3NjYuL659WjWCKU92o0ZMebgYHB4N6Dg8PDw4Oghn09fWBGcDMholOoVAoFArM+56enu7ubrAQEonU2dnZ3d1NIpG6urpIJFJPT09KSgorK6uFhUVdXV1XVxdMaJjN8G9zc3PbVzQ3N7e2tra2tra0tDQ3N8P8hjldX19fV1dXU1NTW1vb3NyclpYmISGhr6+flpZWVVVVWVlZV1dXUVFRXl5eW1tbW1tbVVVVVlZWWlpaWlr65cuXkpISeKykpKSwsLCoqKisrKyoqOjLly8FBQW5ubkFBQV5eXnnzp2DyN3Ozi4uLi43NzcjIyMzMzMnJyc9PT09PT0tLS09PT0rKys1NTU7OzslJeX9+/epqanJycmpqalpaWkfP35MTk6Oi4uLjY2Ni4uLi4uLj4+PjY318/NDCC1fvvzNmzdv3ryJioqKiYmJjIx89uxZREREZGTky5cvnz9/HhkZ+eDBgxcvXjx//vzZs2ePHj169OgR3Lxz584ff/xx+/btu3fv3rt37+nTp7dv3542bRo0xt28efPmzZs3bty4evXq9evXL168ePny5cuXL4eGhoaGhp47d+78+fOnT58+efLk6dOnT506derUqZMnTx44cODAgQPBwcHBwcEnTpwICgrat2/f6dOnly9fzsPDIygoGBAQsHPnzj179uzdu3fHjh2bN28OCAhYvXr12rVrAwICVq1atWrVKl9fXy8vrzVr1vj5+S1atGjZsmX+/v6+vr4eHh7e3t4zZsyYO3fuggULPDw84JggJiYmR0fHOXPmzJw508rKys7Oztzc3NHR0d7e3sHBwcbGxsjIaMqUKXp6elOmTDE0NDQ1NTU0NDQwMNDV1YWDFeTl5RUVFVVUVBQUFHR1dcEBQgjx8/MrKiqKioqKiIhISEiIi4sLCAjw8vLy8vLy8PCwsLAghBgZGdnZ2Tk4OBgYGNAoMDAwsLGxQeRBT0/PwcFB/RZeHwgLJoR6Zmdng3quXr26tLS0vLy8oKDgy5cveXl5hYWFOTk5ubm5eXl52dnZ2dnZnz9/Tk1NBSv6+PHjhw8fkpKSwGzi4+NTUlLAftLS0pKTk5OSkpiZmWVlZWNiYhITExMTE9++ffvixYvo6Ojo6Og3b95ER0fHxMS8fPkSLp4+fRoeHv706dNnz549efLkyZMnjx8/fvTo0b1796hfhoeH379/X1lZmZWV9cKFC7du3bpz505oaOilS5du3LgRFhZ2/fr1K1euXLp06ezZsyEhIZcvXz5//vzZs2dPnjx59OjR4ODgo18RFBR06NChAwcOHD58ODg4OCgoCI5wkZaW3rdv3/79+3fv3r13795t27Zt2bJly5YtmzdvXrly5dq1azdv3rxt27atW7euX79+9erVK1eu9PPzW7ly5cqVK5ctW+bt7b1w4cLFixcvWrRo8eLFPj4+7u7uCCFeXt5Zs2Z5eXnNmjVr1qxZc+bMAVNxdnaeOnWqk5OTk5OTtbU13HRwcLC1tbW0tDQ0NLSysjI1NTUxMdHX158yZYqOjo6urq65ubmqqipCiI6OTkJCQktLS11dXUVFRU5OTllZWVVVVVVVVVlZWUFBQUpKSlZWVkZGRkJCQlpaWlJSUlhYWFRUVEBAYPLkyTw8POzs7JMnT+bg4ODn5+fn52dmZqbaDDs7OysrKyMj4zdm9hNgZGSkXjMxMf0iGxbQ0dHR09MzMjIyMTExMDAwMjIyMjIyMzNzc3NzcXFRB8zOzs7FxcXNzc3BwcHNzT158mQuLi64w8nJycfHJywsLCQkJCwszM/PP3nyZCEhIQEBAWFhYUFBQUFBQSEhIRERESkpKWlpaWlpaegOZGBgEBUVlZGRkZOTk5aWlpOTk5OTU1RUhAt5eXkFBQUlJSVlZWX4a8KfUvUr1NTU1NXVtbW1tbS0NDU1dXV1VVVVWVhYGBgYtLS09PX19fT09PT0YMIYGxsbGBgYGBgYGxsbGRnBvyYmJiYmJpaWlvb29iYmJqamptbW1lZWVra2to6Ojq6urjNnzvT09HRycuLi4kI03/PPUFBQICoqihBiY2ODT1xVVRX+fmpqatLS0jIyMvLy8nJyclJSUhISEjAbwAKFhIR4eXkFBAQEBAR4eHjg/QZGyMfHB1s3wVzh4ODg4OBgY2MDy2FmZmZnZ4eJS0dHN9q0qDMbHqOnp4cfZ2Nj4+Li4uTkHG177OzsbGxsDAwMdHR0o83+z6zlmy9ZWFiYmJhYWFi4uLhgyQDc5+PjAxvg4eFhY2Pj5+fn4eEREBAQEhISFBQUFhYWEBDg4+OTlJSUlpaWkJCQkpISERERFRWVkpKSl5eXlZVVUFCQl5dXUlJSV1eHlxMbG5u8vLy6urqWlhZMeg0NDQ0NDS0tLQ0NDWVlZXV1dT09PW1t7SlTpujr6xsYGJiYmFhZWVlYWJiZmcH8tra2trW1dXBwsLe3t7CwAFoTE5Np06a5uLhMnz596tSpzs7OLi4urq6urq6uLi4uM2bMgItp06a5urrCv3PnznV3d58zZ46Hh8e8efO8vLzmz5/v5eXl4eEBe4kjhERFRb28vPz9/eFlsGDBAm9vb29vbx8fHz8/P09PT/iRBQsW+Pr6grcFrxB/f39/f/+1a9euXbt2/fr1GzZs2LRp044dOyAGNDExgdfSzp07d+7cCQ7djh079u7du2vXrm3btgUGBgYFBe3evTswMDA4OHjfvn2BgYEHDx7cv38/uIenT58OCwu7dOlSSEjIxYsX7ezsEEJTp069cePGtWvXwsLCbt26deXKlcuXL1+5cuXq1avXrl27ffv2tWvX7ty5A6/b8PDwO3fuPHz48OHDh48fP4aXdGRkJLjACQkJ79+/P3bsmJCQkJSU1M2bN+Pj4+Pj41+/fh0fHw9OwJs3b2JjY9+8eZOcnJydnZ2RkZGWlpaUlJSQkPDx48eUlBS4k5KSkpKSkpaWBs5+YWHh3bt3JSQklJSUXr16VVxcXFpamp+fX1paWlxcXFlZWVZWVlZWVl5eXlFRUVVVVVVVVV1d3dDQUFtbW1ZWBsEHRCH19fXt7e3t7e1NTU1dXV3p6emampqSkpL5+fm9vb2dnZ09PT0kEqm/v39wcBCCIQikIIoaHBwkk8mQkRgcHBwaGhoaGvo+L08ikeDjNTQ0/P3S9NeYEOqZn58vIiKCEJKWlvbx8fH29vby8vL29l60aJGvr6+fn9+SJUsWL14MztSiRYv8/PyWLl0KRrJ8+fKVK1euWbNm3bp1a9asAWvZtGnT7t27d+3atX79eoQQPz8/mMe2bdt27ty5e/fu7du3Hzx4MCgoKCgo6PDhw4cOHQoKCoIA6tChQ0eOHDl27NiZM2dOnDgREhJy8uTJ8+fPX7hwARxJMA8FBQVmZuYjR45cvXr16tWrt27dun37dnh4eFhYWFhY2I0bN+7evXv//n3wW8PDwyMiIh4+fAgOLESCjx8/joyMjImJiYqKevHixbt37xITEyEG1NfXT0hIgFA0Pj7+5cuXCQkJcXFxycnJycnJHz58gMg0MTExMzMzMzMTPPGkpKSUlBQIaTMzM3Nzc3NycvLz8/Pz8x8+fEhHR6enp/f+/fvCwsLi4uKioqLi4mKwqJKSkoKCAni4rKysuLi4urq6oqKioqICIvSmpiaIxFtbW5ubm1taWtra2jo6OnJycsTExJSVlZOSkshkcvco9PT0wB3IjpFIJLA06neHhoYg0TY0NDQwMEChUCBNMTIyEh0dDeo5depUaj0KusfgAUj2DQ8P9/T0UCgU+NZ/rQINDAwcPXoUIbR//368+V9IpwYGBuLtWCopKdHX19fV1cXbQVlbW2tsbKylpYW3z6yyslJfX19FRQUvbV9fH6inlpYWRlosmBDqWVRUBL4nnKHY9RWQeyaTyf39/ZC9pib44N0F9+FVBnlAeINRU+mDg4Pc3NwaGhrYjw729PRkY2PD28ZMfK0/2Nra4qWtqakRERExMDDA2/tSV1enrKyspaVVWlqKkTYhIQGyY25ubn9dwP1Hf9ahoaGQkBCEUHBwMN4ltlBzP3LkCEZOgiAKCwu1tLQMDQ1ramow0hYVFQEtXpmrqqrS09NTU1Orra3FSNvb2wvq+dNd22OHCaGeFRUVYmJiCPcBRKCh3NzcuI5vG+3geHh4sLGx4e1zJAgiKCgIIWRnZ/cT5v0Xjk9ZWRkvL6+pqSne4nhVVZW0tLSRkRFeO4yNjYXcyOzZs3+xefAbn/TkyZMIoVOnTv002w/vQxtpSEjIz9H+GQoKCjQ0NExNTXH5nlCZLCws1NDQwL4zVmlpqaampo6ODl5aMpkM6mlnZ4eRFgsmhHp++fIFEnMnTpzATg6qgZ3Wzs6OnZ0du3pCDIh9pWZpaSkcQIT31ITKyko5OTnsG+K+ffsW0tAeHh4YP+Hh4eFfVM8/A9X3xBu5Z2dnq6io6OjoVFRUYKSFfk8jI6Pq6mqMtNDvaWhoiLffk0KhQL+nkZERRlosmBDqmZubC3nP48ePYyfn4+PT0dHBxUbtsLO3t580aRJVjHCZDWxAiXdTqJGRkZKSEj4+PuzqWVtbKysrq6+vX15ejpE2Li4O6m+zZs3C6yxDO+2RI0fwHtUFohwUFISRkyCIoqIiHR0d7JuwFBYWamtrGxgY4A2xQT21tLTwZodGRkacnZ0RQpqamhhpsWBCqCc17xkYGIidnJOTE+PnDsVBgiCcnZ2pvuf3Dc8/DfBisC9KKykp4ebmNjExwStGkPfE7hwlJiZOmjQJITRz5kyMYeDIyMiFCxfGwkk8ffo0GoN17uXl5YaGhoaGhnhlrqioSE9PT0tLC+8uIdXV1YaGhmpqanjTOMPDw05OTgghDQ0NjLRYMCHU88uXL+B77tmzByMtTGVBQUFVVVWMtIA5c+awsrJS5x8uswHniJriwUVbU1MjLCyMvWrU1NSkra2toaFRXFyMkTYtLY2TkxN8cLxu1+XLlxFCR48exVtFPHv2LELowIEDeNWzsrISmiVxyRy8+MvLy/X19dXU1PBG7nB0sIqKCl6tHxoaoqnnX6G0tBSqRmNxZLOcnNz3h1/+tPFQ3czFixczMzPjnSgEQUBR2NbWFlIEuKyxrq5OTEwMb05qZGSkoaFBXV1dQ0OjsLAQFy1BEKmpqbDIZMaMGXjlHmQOu+954sSJMVJPIyMjHR0dXDV3UM/S0lJYUok339LY2GhsbCwrK4tXlKl5T3FxcYy0WDAh1LO8vBzUE3vmiCAICQmJ799aPz3LqYq2aNEiJiYmvPOP+JpBs7GxwZuYq6qqEhIS0tfXx+jKjYyMVFdXw1q93NxcXLQEQSQlJbGzsyOEpk+fjjG6HBoaghA7ODgY724pQLtt2za8tPX19ZaWlurq6ninWV1dHZwIW1ZWhoUQLKK5udnMzExGRgavelJ9T35+foy0WDAh1JOa99y9ezd2cnFxcTExscHBQbx+wYIFCxgZGfH6XMTXyN3KygqvHdbU1IiJienq6uLNSdXV1WlraysqKn7+/BkjLVU9p02bhtH3pPZ7BgUFjYV67tixA28baX19vZmZGfbGTOiWV1ZWxqWegLq6OmNjYxkZGbxJcGrVSEZGBiMtFkwI9SwrKwPfc+vWrdjJFRQUREREsB/ftnTpUkZGRrz5PoIgjh07hhCytLTs7+/HSFtTUyMhIaGnp4e3UNDU1KSjo6OsrJydnY2RNjExEdQTe97z4sWLY5H3hG1N9u7di5e2rKzMwMBAU1OzqqoKI211dfWUKVOUlJQqKysx0ra2tpqbm4uKiuIVZYIg5s6dixDi5OTES/vrmFjquXPnTuzk3Nzc8vLy1LV9uGhXr17NyMiIPXKHorCVlRVeL6ampkZSUlJTUxO7u6GpqYldPT99+gQbFIxeqYkFV65cQQjt27cPr+956dIlhNCuXbv+4jCCn0B9fb2VlZWqqirev1ptba2pqam8vDxeJ7GhoQHynng9ZYIgYPny99WLcceEUE844AEyR9jJhYSEhISEfjGN+M2+igRBrFy5koGBAXvkDjGgjY0NXi8GDl7X0tLC6240NjaqqakpKyvjzXumpqbCtjrTp0/Hq57gJAYGBuJ9OUEx6uDBg3j/aqCe6urqeP9q1dXVRkZG6urqeF1ayHsqKChgV8/Zs2cjhNTU1PDS/jomhHpSa+6bN2/GTi4oKCgtLf2L6km1CqqMenl5sbCwYJ8osI2FtbU1Xjusq6uTlJQ0NDTEuziqubkZel+w19xBPWfOnIm35g5OInaZCw0NhZo73lpfS0uLvb29pqYmdifRzMxMRUUF7/L5hoYGcGnx0hIEAfsr0vKeP0ZJScnYRe4SEhIyMjK4pjV1rRF0LOF1CoivztHoyB2LnTc0NEhLS2M/77C5udnY2FhJSenLly8YaT9+/MjNzQ2+J171hH5P7DX3sLCwsehYamhosLS01NHRwZ73NDIy0tTUxFsch6qRvLw83ja+/v5+ONeIpp4/BlU9x6JqJCQkJC4ujmtHMqp5zJ8/fyzUEzoHR28Ei8Ugy8vL+fj4xqJbXkdHR1VVNS8vDyNtQkICrDWaNm0a3hYr6h5LeNUTilF79+7F63vW19dbWFjo6uri1aOamhpYFIR39ra1tVlYWCgpKWFfa+Tq6ooQUlRUxEiLBRNCPce0Y0lERERJSQmvU0AQhLe3NysrK94NEYivNXfs28lUVVWJiIgYGhriVc/W1lZDQ0PsO9QlJiZC5O7q6opXOKhrjfDOh/Pnz0MxCm9CoLKy0tjYWENDYyxq7hoaGnjVE/KecnJy2CN3UE89PT28tL+OiaWe+/fvx06uqKiopKSEndbf35+ZmRnvtCYI4vr16+B74jXvpqYmGRkZ7JF7S0uLkZGRhoYG3qJwamoqRO7Y856QoAwKCsJbNQJa7Pt71tTUmJuba2tr451mZWVlurq6enp62Jt/jYyMFBQUsC/Ac3FxodXc/xSVlZXi4uJjtFJTREREVlYWY6QGugZVo4qKCrzuBnQsubi4YOQkCKK8vBxOx8N7CGhjY6OWlpauri7essbovCdeuYcEZXBwMN4QGxqhDh48iL1b3traeiw6JSwsLLBH7lA1kpOTw6v1IyMjUHOnqeePUVtbC+p58OBB7ORCQkIyMjIYXTkwvJUrV47FOvcbN25AzR17/UFKSgp7zb29vd3CwkJVVTU/Px8jbVpaGkTuTk5OGD/hkZERSFAeOnQI79oz8D13796N98CPtrY2BwcHFRUVvImRqqqqKVOmYO9Yamtrs7S0lJKSwt4ETVPPbzHaZWtpaZGSkhq9Qx0csIHlFykpKcnJyWGhGg1/f39GRsaSkhK8tODFYI/ca2pqREVFDQ0N8e773dLSYmhoqKSkhHelZnJyMrVqhHEXq5GREWrHEl7fEyKGnTt34i1GNTY22tjYqKmp4XXtYZ079rxne3u7paWltLQ0dvWcMWMGQmgsrPgXMW7qOXr6NjU1SUpKIoS2b98Od+CAMCy/SFFRUVpaGu/CR4IgfHx8mJmZKyoq8Moc2KGtrS1e2oqKCmFhYSMjI7ybwMO2OsrKyng7llJTU2GtkaurK1U9sWRI4OW0c+dOvCt3r169Ohbr3Juamuzs7FRVVfE6iU1NTTY2NkpKSnhpu7q6bGxspKSksK9znzNnDkJIWloaIy0WTIjIvbm5GXzPsej31NDQEBAQIJPJuAhB19auXUtPT49XNYivkbuFhQXGARMEUV9fLy0tra+vj7dJoLm52dzcXE5OLisr66dJvn9PUNXT2dkZb27k5s2bsKQN79v02rVrCKGAgAC8fzXolldVVcWrRx0dHfb29tg34gT1xL5DHUEQnp6eCKGx2KX3FzHO6gmW09nZKSMjgxDauHEj9l9hbGzMz8+PvWq0ceNGOjo6vBErQRD37t0bo7VGUlJS+vr6eHcJaW5utrS0VFRUzMnJ+WmS79Xzw4cPvLy8CCFHR0e8Fv7HH39AghKvet66dQsiJ7wubWdnp6urq5KSEq68J0yqjo4OOzs7OTk5jDvUDQ0N9fX1OTk5iYiIYG+CXrBgAc33/AHAcrq6ukA9N2zYgP1XGBkZiYiIDAwMYImFqbsj7969m46ODvs69wcPHoxF5F5VVSUnJ4dxn11AZ2ens7OzrKzsp0+fcHEODQ3l5ORAFdHW1vYbU/yzHaOpa8D+DPCDoJ6bN2/G6ySGh4dD5I5XPclk8qxZs5SUlPCm1zs7Ox0cHGRlZTFG7iMjI2Qy2cHBQVJSEq+nTBCEl5cXQoidnR0v7a9jQkTuvb29srKyP+d7/tcN2E1MTCZNmvSL03r0Onf4daCeBQUFv0L7PR49evTTeyz9xefQ0tKirq6ura1dU1ODcR+gzs5OR0dHJSWlv+N7/v3/UX5+PmRynJ2d8cr9vXv36Onp9+7di1fmIiIiQJR/zqX9s8Cop6dn5syZ8vLy33+8PwxNBgYGgAo+6oGBgYGBgeHh4eHhYQqFMjg4CO+YhoYGW1tbeXn5oqIi+O19fX0UCqW/v59MJlMolL6+PrgzNDTU39/f39/f19dHJpNJJBKFQiGTyV1dXSQSqbOzs6enp6urCy5qampsbGxERERyc3N7e3tJJFJXV1dPT097e3tHR0dLS0tbW1tbWxt82d3d3d3d3dLS0tXV1dHR0dDQUFdXB99tbGxsbm5uaWmBm7W1tTY2Ngghbm7un/hsxxS/Qz3Bsf+LB6i+5+LFi7H/dnNzcwEBgb+pF98/BtN09GSF/8umTZsYGRlhZ7ZvFByu4SZMQfiR4eHhoaEhuAMTfWhoaHBwcGBgoL+/H7xjiNzNzMza2tpgyvb19fX09MA0JZFI1ElJIpEGBgY6OjpIJFJ3d3d7e3tzczNMzdbW1ubm5tbW1tbW1rq6uubm5uzsbBkZGWVl5eTk5Obm5rq6OnimpaWlvr6+tra2vr6+oaGhpqamsbGxra2toaGhtra2pqamoaGhqamptra2urq6tLS0srKysrKyuLi4tLS0uro6NTVVX19fQkLi8ePHVVVVVVVVFRUVpaWlJSUl8G9RUVF5eXlxcXF+fn5eXl5xcXFeXl5BQUFRUVF+fn5hYWFhYWF+fv6XL1/y8vLy8/OzsrKys7Nv3brFxsYGR9lERER8+fLl8+fPaWlpnz9//vz586dPnxITE2NjY1NSUj58+JCQkPDu3bukpKRXr169efMmLi4uNjY2Ojo6KioqOjo6JiYmOjoa7r979y4gIAAh5O7uHhMT8/Tp04cPH0ZFRb148SIqKgqejIyMjIyMfPDgQXh4+OPHj+/du3fr1q0bN248e/bs0aNHcP/OnTvXr18PCQm5du1aeHj47du3IbQ0MDC4cOFCWFhYaGjo+fPnT58+feHChdOnTx89evT06dPHjx8/efLk/v379+/fHxgYuGvXrsDAwJMnT+7atWv9+vVbt24NDAzcu3fv9u3bt2/fvnHjxh07dvj7+wsJCSGE3NzcVq1a5e/vv2TJksWLF/v6+i5cuNDPz2/RokVubm7e3t4LFy708PCYOXPmzJkz586d6+bm5uTk5OrqOnXqVBcXF1dXVxcXl2nTps2ePdvZ2VlfXx8+Xm1tbUdHxylTpmhpaWloaGhqampoaCgpKamqqkpJSYmJiUlJSSkpKUlJSYmKigoKCoqJiYmLiwsJCU2aNElISEhYWBg2MJOUlJSWloYmM4QQMzOzkJCQoKAgNzc3ExMT9Sb1momJiZeXl5WVFSHEwMAANxkYGJiZmeEs1R+CkZHxV7UAN36Heg4NDf31Qbjd3d2gno6OjgUFBV++fMnMzExPT09LS8vOzv706VN6enpycjKYSkJCQtIoJCYmvn///vXr1+/evYuLi3v79m1kZOTz589fvnwZHR0dGxsrLy/PwsLy+PHjV69evXz58unTp48ePXr48OGjR48iIiLgOiIi4vbt2/fv3wdTuXfv3vXr169evQoXN2/eDAsLO3/+fGho6NWrV69cuXLt2jVTU1OE0Pr16y9cuBASEnLixInjx4+fOnUqODj46NGjx48fh38PHDiwe/fuoKCgY8eOHTp0aP/+/Xv37g0KCgoMDNy3b9/27du3bt26devWLVu2bN++fd++fVZWVgghqm0LOwAAIABJREFUQUHBZcuWbdiwYd26devWrQOz8fX19fX19fPz8/b2nj9/vre3t5+fn6enp5eX14IFC9zd3d3c3Nzd3adOnTp9+nQHBwd7e3t7e/upU6dOmzYNRgt65OTkZGZmZmZmZmJiYmRkZGBgMGXKFENDQ319fU1NTW1tbUNDQ21tbRUVFXl5eTk5OQUFBUVFRVlZWVlZWXFxcbAfISEhWVlZAQEB6tSXlJQUERERFBTk4eEByxEUFOTl5eXn5xcUFOTi4mJnZ2f8CnZ2dhYWFkZGRjo6OmBgZWWdNGkSMzMz1QiplsbNzU21sV8BPT39P/0R6vC+4aFSMTExUUUBIcTMzMzOzs7MzMzGxsbGxsbExMTKysrOzs7KygoXbGxskyZN4uLi4uDg4OTk5OHh4eHhmfwVvLy8vLy8kydP5ufnFxMT4+PjgwEICAiIfoWIiIi4uDhci4uLS0hISEhISElJSUlJSUhISEtLS0lJUf+VlZWVk5OT/Qp5eXlFRUUJCQn45OXk5DQ0NNTU1FRUVNTU1NTV1VVVVVVUVFRUVEBJ1dXV1dXVYVaAwgI0NTUNDAxgFllYWDg6OlpaWhoYGMCe1vr6+qDatra2NjY2dnZ2jo6Os2bNcnZ2tre3d3Jymj17to+Pz5w5c6ZPnw73PTw8fHx8Fi9e7O/vv3bt2pUrV65Zs2bt2rUBAQEbN26EQERYWPg3iNU/woSI3Lu6uqSlpWH+gcWKiYkJCwvz8vIKCQnx8/Pz8vJycXFxcnJOmjRp0qRJbGxsnJycMCnZ2NjAtFi+gjrF2djYGBkZqTMbGKhzfbRh/JlxMjIyMjMzs7KygrUwMTGBzcNrE8DCwsLKygq0TExM1Fco2Ak7OzsMmIODA4bNzc3Nzc3Nz8/Pw8PDy8srKCgoKioqLCwsJSUlKSkJfY7MzMwyMjKysrKSkpLi4uJycnJycnLy8vJUY5CXl4e5rqSkpKSkpKGhoaOjo6mpqaqqqqOjo6urq6urq6Ojo6Ojo6enZ2xsrKWlhRBiY2PT09OzsLAwMzOztLQ0NTU1MzOztrY2Nzc3MTExNze3srKytbWFSW9vb29nZ+fs7Ozo6AiT3tHR0cXFxcnJafr06dOnT58xY4aTkxMHBwcTE5OZmdm8efOmT5/u4eHh7u4+e/bsGTNmuLm5zZ49e/bs2XPnzvXx8XFzc5sxY4aHh8fcuXPBXfL29vby8vL29vb09PT391+9enVAQMCWLVvmzZsHny0fH5+fnx/4Ytu3b9+1a9fWrVt37969c+fOzZs3b9y4EXy0DRs27N69e//+/cHBwXv27NmzZ09QUNDu3bt37dp14sSJM2fOHDt2LCgo6MyZM9D7YmFhcfz48StXrhw/fvz48ePwXgwNDT1z5szx48cvX7586dKlc+fO3b59G1zOW7dugZt5//79iIiI58+fP3v2LDw8/MGDBzExMS9evFixYgVCyMHB4fHjxwkJCa9evXr79m1sbGxUVBTVHX79+nVcXNyrV6/evXuXkpKSkJCQnJyclpaWkZGRmpqakpKSnp6emZn56dMncBrKy8vfvn1rYGDAyckZGRkJLnxBQUFBQUFZWVlhYWFRUVFpaSkEBBAclJSUVFdXV1dX19XVVVRUVFVVNX5FfX19fX09hM/p6emGhobc3NzJyckQiXd0dPT09JDJ5M7OTghfIOIhkUi9vb29vb2Dg4P9/f3wJURCFAoFYikIp/r6+hobG+3s7Dg5OamNKJArgGdGB2cQVME1hUL5rymdxYsXg6GNjfz8PCZE1ai1tRVeL/Ly8itWrFi6dCl4W0uXLl21atWKFSuWL1++evXqNWvWrF+/fsWKFevWrdu8efP69evXr18Pb6dNmzZt2bJl586dEBPt2bPnwIEDQUFBQUFBkyZNYmBg2LJlCziDhw8fPnjw4OHDh0+ePHnq1CnwCkNCQkJCQs6dOxcaGnrx4sXz58+fPXv2ypUrYWFh165du3379rVr127dunX79u27d+/eu3cvIiLCxMQEIbRnz55nz55FRkY+fvz4/v37T548efz48fPnz6Oiol6+fBkTExMTE/Pq1asXL168efMmOjoa7Ordu3fx8fGxsbFgQunp6ampqdnZ2Tk5Obt27UIIaWlpJSQkZGdnp6Wlpaam5vwn4MmSkpKSkpK8vDyIiEtLS4uKigoLCysqKqqrqysrK8vKysrLyysrK+vq6jIzM2VlZRUUFOLi4tra2iDGb2xsbGpqgpC/vr4evoSEFDWl1dvb29ra2tXVRSaTu7u7Iec1MDAA9lBfX29raysiIhIbG0t8zd8NDg5S0xFkMrm3txdW4JDJZEgLQvYNEheQjwNTpM6KjIwMYWFhhJCVldVf14X/UWfCyMjI/fv3EUJr1qz562Don+Lhw4cIoYCAALzd8lA1kpCQwFs1IpPJ06dPFxAQwLszVl9fn7OzMw8Pz38tpQ4NDf2jP9z69esRQqysrL82QPyYEOpJIpEgcvfx8RkeHoZkX29vL5lMhrw15Adhdd1oS4Pc4l//JSwsLFhYWPBaC/F1M6SkpCS8tM+ePUMImZmZ9fT0YKTt6OiAMx7++iCmH36Sf/HxdnV1ubm5SUlJpaenYxjlV2RlZcFZA7a2tngLuFCUG92YiaWABrSbN2/GW4wikUhubm4KCgp4V2qSyeRp06ZJSkripe3t7bW3txcXF8fesQS+p4CAAF7aX8eEiNwpFIqcnBxCaMWKFdjJHR0dJ0+eTCKR/uuT1GrPn30XlBpKQIcPH0YIUatG/5X2b+LOnTsQWvb29v5NBmrN6i9Kc62trQYGBurq6qPF6HvafzTUwcHB9vZ2JycnWVnZX+mW/x5ZWVlQLcG+zh18z40bN+JdkP748WOE0IYNG/A2QvX09Li5uUlLS0NxHCOts7OzkJAQ3o6R/v7+GTNm8PLyYm/jW7VqFWRy8NL+OibEgHp6esD3HAv1tLKy4uHh+fWQ6htl2bNnD0IIY58jAMzb1NS0u7v7n/7sX2hfW1ubvr6+rKxsZmbmrw3wP0Aikdzd3QUEBOLi4jDSFhcXq6ioQP0BV3QJ75iXL1+ysrJ6e3u3t7djoQVERUXR09MvXLiwq6sLI+3g4KCHhwcnJyfeRRkdHR2Ojo6CgoJ41ZNCoUydOpWTkxPvljEEQfj6+kISHC/tr2NCqCd1l5C5c+fCHSwrbcAXmzVrFh0dHcb13SBSwcHBCKEXL17gogVERkYihPT09PCusWltbbWwsJCWlk5LS8NI29XVNWPGDFFR0b+TwRgZGYFCBORMq6qqoCmivLycQqFQpX9kZCQzM1NERAQhZG1tjXfLCXg5BQQE4F1rBH1ma9eu/Tshzt9HS0uLo6OjrKws3oOvm5qarKysZGVl8UbunZ2dtra2fHx82I/pXrJkCUKIg4MD794uv44JoZ5tbW1Qc589ezZ28unTpzMyMmLMe1JXaiKE8Ob7iK+7lFtaWuLNoLW0tECjCd6cVH19vZGRkaSkZGpq6l8/OTAw8Pr1a2dn502bNkGTKWx5ixCSlpb+5iWUnJzMx8eHELK3t8e7k8Xt27dBPUcnRn4dIMpLly7Fm63u7e2dPXu2gIDAryyE/R7d3d0uLi7YXdqBgQEXFxdWVla8x1MTBLF27VqYKjT1/AHa29tBPX19fbGTGxsbMzMz413fTXyN3PFGrMRXL2bKlCl4t5Jrb2/X1dWlJihxrTVqb2+fOnUqHx/fq1evqDd/OMXfvXsnKCiIEFq+fHlNTc2hQ4cQQkZGRlOnTmVlZTU3Nx+tktnZ2bDnlqGhId4wENRzyZIleGUO1HPJkiV4fc+Ojo7p06fz8vLi1aOOjg4HBwdOTk7saRwHBwcODg688Q3x1fek5T1/jKGhIagaubm5YSe3tbWlo6ODQPi/rob++zh48CBCaLRqYAGsczcwMMAr942NjRoaGlJSUuAk4voQOjo6nJychIWF3759S735vXqSyWRYBXD+/PnW1tby8nJtbW1mZubi4uLOzs5Vq1YxMDBERERQn8/MzISOJTMzM7zRJRx8snXrVjKZjHEnAaBduXIl3qpRc3Ozg4ODlJQU3qpRc3OzjY2NgIAA3rwn1Nz5+flzc3Mx0hIE4efnR1PPP0V7ezvkPRcsWICd3MTEhIuLC6b1f10U//cBeyzhfXsTX3eoMzMzw+vF1NXVycnJKSoq/p0mgb+P1tZWJycnMTGxxMTEHz4Av6itrY2dnV1CQgLyJ0+ePGFgYFi4cCE8AP/lkydPUn/q8+fPsIrp+11CfhHQ0rBlyxa8iRHY+M7f3x+vS9vZ2Tl16lQxMTG8Mtfe3u7o6MjHx4eXtru7297enpubG3vVyMfHB5aQEJgqIrgwIdST2i0/FjV3IyMjNjY2vNvWEgSxc+dOhNCHDx/w0sImQKampngbVFtaWjQ1NRUVFfFuSAp2KCAgAN3y3wPUs6enB1ZDwztsx44dCKHHjx8TBDE0NAQbQo8+aygzMxPCfEtLS7znzcERGhs2bMCrnkDr7+//E50Sf4GWlhYHBwdFRUW8dZi6ujpzc3MJCQm8rUUNDQ1mZmaioqJ4wwWCIGCFGG2l5o9B7Zb39PQk8HlGABMTE2ZmZrzWQhDEhg0bEEL/tVryTwFVI3Nzc7y+Z1VVlaSkJPXwS1wv8ObmZj09PRkZmYyMDOI/9wqCxljqL5o5cyYjI2NMTExqaqqSkhI3NzdEo9XV1YaGhlxcXE+ePKH221JP5rC3t8e7xxLIHPZtjOGg402bNuGdZm1tbS4uLv+HvTePi7kN/0fv2ZppX7Vr0WKpyJbsEuIhRT2VSkJk6eGxky1b2bMTIZRkKanQKhGyJFtp0U6Ratq3Wc4f1zFnvniS5up8+53j/UevMT5d8+kz933d1/q+DAwMcHuNYFwSuucOcU95eXl04rE/9Z7toaSkBPgcvby80IUbGhqyWCzcWZL8bzl39F4jcGNHjBiBa8WUlpb269fPwMAANyYl2Id3795t/8r79+8Ls2ksW7assbHxw4cPo0aNIoS4uroKf0Hv3r0DX2TMmDG4ZhdQyS1cuBC3MBM6NefNm4eec4dyWtxvraamZsqUKfLy8ugBSmtr666o91y4cCEhhEql4ooVHd1Ce9bV1UHOHWJhuLC2tqbRaLjak8fj7dmzhxASHR2NKJb/rWtl+PDhuOXcFRUVQ4cO1dbWxs2HQlJYVVU1OTm5ncugR+vNmzdz587V09NzdnYGnzEiIoLJZHp4eAgPbefxeFlZWbAeLCwscOOe0FK5bNky3IqliIgIyBrhegy1tbXW1tY9e/bEyhqBdd/c3Gxtba2srIx7MnG53OnTp3eF7bl8+XJCiLS0NK5Y0dEttGdjYyN47l1RsTRt2jQqlYpue+7YsYMQEh8fjys2MjIS4p64xlFVVdWwYcMMDAxw457V1dX29va/1J7CaG5uFsSgq6ur8/LyvgtJ83i8zMxMfX19sD1xq+Vv377NZDKXLl2KayTGxcWxWKxFixbhim1ra7OxsRFmLRIRgkCKvb09eq8Rh8OZOXOmsrIyetxz3bp15P+3/J6/RHNzM+yW2bNnowt3cXGhUqm4jjCfz9+/f39XaM+YmBiwPXEHr7PZbJjYhVs5WFdX5+npqaio+F9ZIwCXy01ISDhz5kxQUBAwV509e/bENxw+fPj06dPZ2dmQNeLxeO/fvzc2NoZTBLdYJz4+XkJCAt1IjI6OptPpnp6euGK5XG5ISMiuXbtwZ/m1trba2tr26NED99ny+fyZM2fKy8uji129ejX5M5njv9Da2gp9zba2tujCPT09CSHotqe/v39XxD3BtTQwMPj48SOi2IqKipEjR+rq6uI25jc1Nc2dO1dBQQHqPf8r3cflcidOnEj+G0wm8/z584KsUW5ubp8+fcD2xE2Y3Llzh8lkLlmyBNdzj4mJERMTmz9/PqLtiZs7FUZbW5ujo6OysjIuQx2Px3N0dFRQUEAPp27evJkQwmAwcMWKjm6hPTkcDtieXVEtb29vT6FQcE05Pp9/+PBhQsj9+/cRZXK53Kqqqri4uIyMDKwxdoDKyspRo0bp6OiA9sSS3NjY6OrqqqKikpKS0v6V8fHxR48ePXXqlGBwxenTp8+fP3/+/PlLly7duHEjPz8f7orL5ebl5YHtOWLECFztGRsby2QyFyxYgBsYiY2NlZCQmDdvHq6LU1hY6OLiMmHChMDAQESxPB7PwcFBWloatwGUz+c7OTlJSUmha8+1a9f+ybm3B7A1/v77b3TJQA6I6PvAJofal/Y91t+FiEWp7XQB19XVWVpaqqurp6amivIR3wHingoKCu3n3H8c+vTjrQrKm7hc7ocPH2A9mJmZ/TI2B1PPOnjDd+/epdPpixYtwrU9IVrt6uqKqD2bm5uXLFkCWkNLSwuxxRsClPLy8rjaE9iRZWRk0FlCgB1ZRkYGV6zo6Bbas7W1FWZqWllZoQufNWsWlUpFZ0eGuGdcXByuWD6fL+zSRkVFocisrq4eOXIketaopqbG3t7+l0qZx+OlpaUVFRUJcykJjoq0tDR3d/fr16/zv6nCnJwc6NwdP348bs49MjKSxWJ5e3vjdk9AvMXLywuxjDQpKUmwDDQ0NLDE8vn8lpYWa2trTU1NXLu+ra3NwcGhR48e6Npz+/btMEcHV6zo6BY3JNCerq6u6MJtbGzodDp6tbyvry9ur1Fubu6MGTN+jAmam5uLrkGgYql37964tXgNDQ3z589XU1MD7dmODQiDlbZv3y7MflJXVxcUFCQvL08I2b9/v+DXc3JyDA0NCSGjRo3C7YeJj4+XkZFZunQpbnrnzp07YmJiiH3uKSkpwmtAU1MTRSygsbHR2tpaVlYW9yhta2tzdXVVUlJC156QNaJQKLhiRUe30J5tbW0Q93RxcUEX7urqSqVScXcL/1vc85fxvg7i6dOngvmUP0JGRkZEM6GqqsrCwkJLSwu33rO+vt7Z2VlBQeGXtQfh4eH9+vUjhEyZMiU5Obm2tjYrKwsSegoKCmvWrBHOkuXk5BgZGRFCRo4cibsVY2NjJSUlFy9ejOu5R0VFUSiUBQsWdE6scGSjsbHx3Llz3y0AXNuzubnZ1tZWSUkJ9yjlcDiurq7oSpnP5+/cuZNCofzRnj8Hj8cDW8Pa2hpd+Jw5c3ArlmCtHzlyhCDl3GtqaoCC6DtzQ/ifQ4cOFeUjKisrx48fr6enh8sSAjl3FRWVjmTPSktLvby8mEympqaml5fXsGHDIFZz9+5d8KMFd5WXlzdw4EDSBb1GycnJSkpK6IWZCQkJkpKSnSa+E7ABxMXFubi4/Hh84mpPLpf7999/Kykp4ebc+Xy+i4uLrKwsejIK2CD/TIX7T0CWoCsqlubPn0+lUhFtDVjrQKsDtqeI1E1Xr16VkpISbBWYIJ+amjpv3jzBRGVJScmkpKROf0RNTc20adN0dXVx+T3Bc1dRUflltTx8YlVV1fr16wWzoHv27PlT8uOCggJTU1NCyNixYztXes3j8X6aZomPj1dQUFi9ejVun3tCQoKUlNSCBQtEOaSfPXsGPSMARUVFWVnZrvDcW1paoN4TXXva29urqKigzzWCXiPgWOpW6Bbak8fjgfbsioolcA/RK5ZOnTpFCAGGul/O9WwfQNcESEtLE7z/5csXKIMlhFAolJ07d3b6I9hs9pgxY9CzRpWVlbNmzVJRURHm9/wpYDZqUFAQ/EU0Go0QwmQyDxw4AKW4wtSrb968gUjOqFGjOmd7/tc3AnONli9fjuu537t3T1pa2sPDQ5RCqOTkZHV1dfi6DQ0NIyIiBP/E0p5wzLe1tdnZ2amoqKA3pLu5uampqaHHPWFMNyGk62pgO4duoT1bWloga+Tk5IQu3NnZGXcyB+Do0aNEKO7Z6e+Vx+P5+flpamr27t2bCGUVYfMDiQZg/fr1nb7burq6iRMnCvrcsVZhZWWlq6urvLz8nTt32r/y8+fPTk5O8IcsXbo0OTn5wIEDLBaLEDJkyJDo6GiBqcjhcHJyckxMTCBeAeoeK0V+7949OTk5Dw+P2tra7zwGURyI+/fvy8vLz5kz56e2Z/uzWoWFwDwSZ2dnLpebn58vCIVraGj81JTu4JktGAQruA0XFxd0z721tXXOnDlqamrotufWrVvhOeCKFR3d5YZAd3RFvScUi+FWR/O/zXi4e/fub/HVC88++/G/ftQRI0aMgHVDp9OPHDnyW3co/BH19fVTpkzR0dEBKjks1NXVgfZsv94TWgPBG7169apgGnBmZubIkSMJIdLS0gJueS6XW1BQANpz5MiRsBW5XC6KAk1JSZGXl583bx6sB6wiyoSEBFlZ2UWLFv0YEKivr4eM5S/n0N2/f3/69OmJiYnwxQnGMgvinr98AoKlKFwZBhAus+VwOMBOIFxLC4oYbPbW1lYoHROM4OZwOE1NTU1NTfBFcL+Bz+e3trYCUX9DQ4OdnZ24uPjjx4/h721qampsbKyvr6+tra2vr2ez2fX19Q0NDXV1dWw2u6ampqmpCf4XxgXW19d/+fKlqqqqtra2sbHx69ev9fX1lZWVc+bMIX84ltrB4MGDu0h7enl5USiUX3Zqtr+RhFUkXHny5ElCiKBDERYTLCwIusE7cHFzczO8CRsArmxqaqqrq2ttbW1ra2tra/txdyUmJmpoaAiiYGA2woJra2uDn83NzbAc6+rqKioqamtrGxoaampqampqqqur4X02m/3x48fJkydra2vfu3evqqqqsrKytraWzWaz2eyKiorKysrq6uqqqqovX75UVFRUVVWVlZV9/vy5qqqKzWZ//fr169evpaWlnz59Ki8vLykpKSoq+vz5c0VFxZs3b6ytrX/puTc2Ni5cuNDLy0swTR6eBo/Hq62tPXbsmLa2tr+/v2AD5+fng/bs3bt3eHj4+/fvMzMz3717l5GRkZ6e/ubNm/T09PT09IyMjMePHz958uT58+epqakpKSkPHz5MTk5++PDh48ePExIS7t69+/Dhw7t37yYlJSUlJSUmJvr5+VEoFCsrq8jIyIcPH8bFxcXHx0dHRyckJMTGxt6+fTs+Pj4uLi4qKioiIuLq1asRERHXr18PDg4+d+7c9evXL126FBoaevXq1fPnz587d+7y5cvBwcEXLlz4559/CCHDhg3bv3//6dOnAwMDAwICTp06FRAQsGfPnq1btx4+fHj79u3+/v779u3bs2fPzp07d+zYsW3bNl9f3+3bt2/YsGHNmjXfHWzPnz8XThzx+fyWlhZHR8elS5d6eXl5eHgsW7Zs6dKlHh4eLi4uCxcuXLJkia2traOjo7Oz89SpUydPnjxjxoy///571qxZEyZMsLKy+uuvvyZPnjx16tThw4dLS0sTQgwMDCwsLEaNGjV06NDBgwcbGRn17du3X79++vr6ffv27dWrl4GBQe/evfv27aupqamsrGxgYKCnp6ehoaGmpqaioiIlJaWvr6+urq6lpaWjowOVZ3AWysnJSUpKMplMGo1GpVLFxMQg+iT4CaEbYfz4zo9ofwv/v49ucUM8Hg+qo83Nzd+9e/fu3busrKxXr169ffs2PT391atXL1++fPbs2ZMnT548eZKWlib8IiUlJTk5OTExMTk5OSUl5f79+48ePUpNTb1//35ycnJCQoKFhQWVSr127VpiYmJsbOydO3diYmLi4uKSk5Nv374dExMTExMTHh4eFhZ27dq1GzduXLlyJSgoKDAw8PLly6GhoUFBQRcuXACGi5CQkODgYHg9c+ZMQsicOXPOnTsXGBh4/Pjx48eP+/r6+vv7Hz9+/MiRIwcOHDh8+PDevXt37drl4+Oze/funTt3bt68ecuWLX5+ftu3b9+6dSvsnJ82LKWlpRkYGAjWjby8POS1L1++7Orq6unpOXv27NmzZ8+bN2/evHlubm4ODg5OTk4uLi4uLi4ODg42NjawVeCFlZUVk8kkhJiYmEyZMmXSpElTpkyZPHnypEmTLCwszM3Nhw8fDlto6NChffr06du374ABA8zMzIYMGTJ48GBjY2M9PT0DAwMDAwM1NTU5OTkdHZ1evXrJyckRQrS0tKBiqSM2OOhNDocDVMr19fU5OTkXL1588uSJwKgpKCiAnLsAVCr1l1vrfwUUCgVUA4BGozEYDAqFAjfM+AYWiyV4wfwGcXFxSUlJCQkJiGCcOHFC+EE9fPhQ+IP4fH5dXR0hRE5OTlFRUUlJSVFRUU5OrkePHkpKSsrKyioqKqrfIFBwampq6urqGhoa6urq6urqPXv21NbW7tmzJywGNTU1XV1dPT09PT09XV1dXV3dXr169erVS/Bd6+vrwz8NDQ0NDAwMDQ3hhYGBgYmJSb9+/QYMGDB8+PAxY8YMHz58+PDhkObq16+fpaXlpEmTrKysRo8ePXHiRMFKmzBhwtSpU6dPn25ra2tnZzd16lRbW1sbG5upU6fOmDHD1dUVTgJPT083N7fZs2cvWbJk48aNUCxM/mjP/0L//v3hAamqqmppaWloaCgpKamoqCgqKsrLy8vIyMjIyLBYLHFxcQkJCViI0tLSwoS7VCqVRqPB8pWQkIArhVc2i8WiUqmwrKlUKoVCEf71diA4FWk0mpiYmCBlDJCUlJSSkqLT6XAD8JPJZIqJicHNSEpKwj6RlpaWlZWVkpKSk5NTUFCQl5eXl5dnMBh+fn7fPQ2BqyuAhYUFpKe9vb0VFRW1tbVhNfft27dPnz79+vXr169fnz59jIyMTExMTE1N+/fvP2DAAMH6hilsFArFwMBgyJAhgwYNGjp0qJmZmZmZGehNMzOzESNGmJubDxs2bPTo0SNHjjQ3Nx8xYsSoUaNGjx49duzYsWPHjhw5cty4cbAxJk6cOH78eAsLC2lpaTU1NeiJ+qX2FMTpuFxueXn53bt3V69ePWTIEBqNduTIEeFOTajxs6mlAAAgAElEQVT3lJKSmj179tq1a1esWOHl5bVo0aI1a9Z4e3tv2LBh06ZN69evX7Vq1bJly1asWLFy5coNGzasX79+/fr169at8/b23rFjx8aNGzdv3rxr164dO3bs3bt33759rq6uhBATE5MDBw6cOHHi2LFjhw8f3rNnz/79+w8ePAhH4LFjx86cOXPy5MmzZ8+ePHny+PHj0KEfGhp64cKFCxcuhISEhIaGXrt27dq1a9HR0ffu3YNybnNz88uXL9+9ezcyMvLWrVtwYN+5cycqKio5OfnOnTuxsbH3799PTEwECxdO+ocPH8bHx9+9exdY9AUdqxkZGTIyMvDty8vLQ1g2NTX11atX79+/z8nJyc7OfvXqVV5eXnZ2dmFhYUlJSUFBQWFhYVFR0cePHwsKCj58+FBaWvrx48fS0tLi4uLi4mLwJwoLC6dOnUoIiYqKqq6ubm5urqurA48EvI2ampqGhgbwsquqqmpqahobGxsaGpqamlpaWuC/eDxea2srnIWtra0tLS2tra2urq4MBuO/aoq/i712ZMEAdu7cCXsQfb6OiOgu2hNYIWRlZRcuXDh37tyFCxfCC09PT/gJvomnp+eiRYuWLl26cuVK2Cpr1qxZsWLFihUrVq1atXLlyrVr165Zs2bz5s3bt2/39fX18fEBnt2lS5f6+fnt2rVr7969O3fu9PPz27Fjx6FDh/bv37937979+/f7+/sfOXLk2LFjp06dOnXq1IkTJw4dOgR0akFBQQEBAQEBAefOnbt48eLFixeDgoKmT59OCHFycoKtEhERcePGjbCwsJCQkPDwcIHrFx4eHh0dHRMTExsbGxsbGxcXFxMTk5SUBPZyUlJSbGxsXl4el8sF757P5/N4PCsrK2HVuWrVKoHPW1BQ8OzZs4yMjMzMzJycnLy8vJycnA8fPmRnZ2dmZubn5xcXF5eUlBQWFhYWFmZnZ5eUlFRVVWVlZY0aNUpeXj4kJOTz589FRUVlZWXgp1dXV4NLXllZ+fnz5/Ly8pqamqqqqq9fv8LOqaqqqq+vr6mpgchAY2Njc3Nza2trfX39p0+f7O3tpaWlIyIi+B3bDC0tLampqVu2bLG1tYW4hKKi4syZM1NSUgR/vsD2HDhwIOSFRaxqEACS4+7u7r9bWtT+pycnJ0PWSJQyUgh8g2HO5/PfvHkDw53If2eNOo3Zs2fLyspC+RoK4LtbuHAhnU5Hn0js6+sLpXt/tOfPMWjQIEKImZkZl8ttaWmBUCC8gCSDICj2u4lRLy8vQogwezkKLl68SAgJCwtDkSaIexYWFgoyRYCFCxcKLut0UpjNZk+ZMkVVVRWRFIrH49XU1MyfP19GRiYyMrL922tqakpPTz927JidnZ2gEIcQMmPGjKSkpE+fPgkbJgUFBbAeBg4cCDl3gfZs5yN+mif5DomJiVJSUm5uboI4eCce6Y+/EhsbKyUl1Qml3I7kd+/eCXLu6urqiNqTy+U6OzsrKyujNwW5ubmJiYkhcsjCA9m1axdoT9wjRHR0F+05dOhQQsj48ePbvwxSDb8lGca3IQ66gBsQ5Nz5HbCMOnLPsDIcHR2/U50odd21tbVWVlbq6uqiN+YLH2B1dXVubm7y8vK3b99u/7d27twpIyMD4baxY8cePnwYCFL37Nnz48XFxcWQRRw0aBDuDk9JSVFSUnJxccHle71z5464uPh305k6ge+0p8D2VFNTE/ke/x9wuVx3d3cZGRlcslc+n7906VIxMTF0sf7+/hCC+6M9fw5BE3T7l3XC9ly2bBkh5NOnTyLc3ff3wP82GVxQZ4MCmPYhwPLly7Fclbq6OiBDwh2h3NLS4uXlJSEhcfPmzfavnDRpEvxRDg4OMNezsrKSEHLgwIEfLy4tLR07diwhxNjYGHcrPn78WE1Nzc7OTpisRHQ8ePBAWVl51qxZiEpZ2PZE155OTk4SEhK45Wt8Pn/+/Pk0Gu3Zs2e4Yrdv3w5xT0GtWzdBd9Geo0ePJoSMHDkSXfLOnTsJIej9D1evXiWEnD9/no8UlQsNDf1OdSLc5Tc0Njba2NioqqoCGRIiO/LChQsZDMYvIxgZGRkWFhbwpzGZzNmzZ0OmZdu2bd9dyeVyS0pKhg8fTggZMGAA7iiRxMREaWlpXBJ4Pp+flJQkIyPj5OSE6OJ0qe1pb29Pp9NxtSeHw3F2dpaQkEDvcxf0Gv2xPf8HBIkCaOAbNmwYH2/aOAB2Ke5kGD6ff/bsWUJISEgIirQHDx4It7qbmJjg8lrW1tZOnTpVQ0MDKpkRxbq5ucnIyMTExPzy4paWlsTExFWrVhkZGQlqIYyNja9evZqTkyMwK6DNBmowBg4ciNsPExcXJy4uPn/+fFwSeGgAdXd3R1TKwtoTt8+dw+HY2dl1BQm8g4ODhIQEYjIK4OPjA4UuuJpBdPwva0/B44CSrkmTJqF/xNKlSwlqn7swtzyK515fX29paSlseBoYGJw5cyY8PPz69evXr1+/du3a9evXRYkA1tfXT506VVNT88mTJ3w827Ompsbd3V1BQeG3WKKbm5uTkpIWL14MqSFCiKGhYWxsrOCCgoIC0J6DBw/+Xe3Z/ga7d++egoLC0qVLcfvcYVTn7NmzERuChbUnLscSaE9ZWVl0lhBXV1dxcXFcd4HP53t7e8NzwBUrOrrLDcFumTZtGrpkGG/QRSwh165dE13UxYsXIZ3SPlasWNHpjwDPXUCGhMix5OHh0UHb80cUFhYePHhw5syZo0ePFmbRF3AsmZqa/q4b2L5zl5iYKCcnt3DhQlzPPT4+Xlpa2tnZGdFzf/PmjYBjqUePHlhiAS4uLugBSh6PN2/ePAaDgRiqhoW6bds2iHv+YQn5OSDnPmHCBHTJYHsiLmvAlStXCCGhoaEiymloaHBzc/ul6iSEbNq0qdOf0tzc7OjoqKqqips1qqurW7RokYSEBNR7dg5VVVXFxcXCCYHS0lJzc3Pw3DMyMjDu9P9Gampqz549RSRD+hHx8fFSUlKOjo6VlZVYMgsLC+3s7OBYnTx5MpZYPp/P4/FmzZpFCAFHBFGsh4cHnU4X5glDwZYtW6DJBfrTug+6i/YEMiELCwt0ycASUlZWhiv28uXLhJArV66IKOf169fAL/VLrFmzptOfUldXZ2dnJ8gaYaGurm7OnDkMBkP0U0QYgoolU1NT4ADEwr1791RUVObPn4/LuRUTE8NkMh0dHSsqKrBkcjicz58/v3r16tGjR9CGhAVgRyb/kw5RdPB4PKDzQB/TvXv3bmgL/GN7/gQ8Hg9YIUaPHo0u3MPDgxAi6NXBAsQ9jx49KqKc3NzclStXenh4eP5PQLeV4LWnpydUpHcOtbW1U6ZMUVRUFA4vio7GxsZ58+axWCyUCIYAxcXFYHt2wnNvH5BzR6/3hHFJzs7O6ESIXQQvLy8Wi4XeFLR06VIqlYpeCOXv7w82OK5Y0dFdbgg6Nc3NzdElQ9wTnXMQquVPnz6NK7aL0NjYaGdn90squd9Fc3Pzv//+KyYmdvXqVUSxX758mTBhAiFkwIABuJ77o0ePVFVVEV1sKECOi4uTlZV1cnL6qfbk8XhRUVHR0dG/W67I5XLt7OwI9uBrHo/n5ubGYrFw1Vxzc/OMGTNoNBp61mjbtm2Qc//TqflzjBkzhnyrWMLF2rVrSRfUe8IQ2v9TtCebzZ4+fbqSkpIo4z1+RHV1tbu7u5SUFNbkZEBBQQFMPULXntDnLnpT0He4ffu2uLi4o6PjT7VncnIyxF4uX778W2J5PB7wbuCmd7hc7qxZsygUCnqA0sPDg0KhoPcaHThw4E+vUXsAT83S0hJdMtieP52fIwoCAwMJIZcuXcIVW1NTExMTk5KSgluQWFdXZ2Nj87ulRR0RO3fuXHFx8fDw8PavTExMjIqK+q+woHALGY/HKyoqAtbk/v374xoyqampysrKjo6OuFnE+Ph4OTm56dOn//gHcjgcqDiGsP5v9d1CFpsQghut5vP5CxYsIIQgkh4AIEOLfreHDh0CEr8/vUY/B1SodIXnvnLlyq6wPYEl5KeNhqLgwYMHhBBlZWVcc6O5uXn27NkyMjLR0dGIYpuamiApFxQU1P6VQEk1d+7c5OTkH3mgBUTlgNLSUug969evH672fPDgQY8ePdC1Z2Jiory8vI2NjXBhHJwHwPQsKSmpqqoqKSkJpnQHsx88Hs/d3Z0Q8uDBA8S75fP5bm5uFAoFt3WCz+fPmzePQqHg1nXwhbJG6HPFRUR30Z6Qczc0NESXvGrVqq7QnsHBwYSQM2fO4Ip99OgRaA3cSubGxkZHR0clJaVfjm/7LTQ0NCxevJhGo/2y5yo4OBiGrygrK69bt66dJDKPxyssLIRCemNjY1zPPSkpSVpaGrchnc/np6SkKCoqzpgxQ1gpC/gQKBTKP//8s3//fkLIsmXLfit4B0YiuvacP39+VyTHwc9DN2kDAgLExcX/VCz9J4DPcfDgweiSgaEOmCkQAbbn70ayfglgFDcyMsrOzkYU29DQ4OTkJC8vj+i583g8yBpRKJSLFy+2f3Fra+ubN28CAgKgLcLU1PTgwYMlJSVNTU2fPn2qqKgQ3hhFRUUQ9+zduzduZuPJkyeqqqroLCGPHj1SV1e3sbERTkaBNQ0K5d69e7m5ufLy8vr6+r+VwFy6dCmFQkHXR6A9BTMNsbBmzRpCyC/HU/8ugoODYZTIn7jnzwGcOr1790aXvGXLFkIIeh4QskY/JVgTBY8fPyaE9OnTB9f2rK+vd3JywvXceTxeS0sLBPV+qT0BHA6nsLBw06ZNDAaDSqUqKCgoKipKS0vLy8sfPnxYYJR9+vRJ4IvgZjaePHmirq5uZ2dXUVEB7OgiCoT9DKn8GTNmfBf3LC0tHTFihKysbEpKyvv37wcOHEin048dO9Zx+cuXL2cwGOj6CBo0EE1aMLTXr19PpVLRLeXLly8Dzf4fz/3ngEZvIyMjdMnbtm3rCtszIiICpd7zO3SR9mxsbJw9e7a0tDRucrylpQX4b86dO/fLi2GDNTc379y5E8huqVRqz549NTQ0TE1NL1++LAh9VlRUwHro168fru2Zlpamqanp6OiIa3s+ffpUS0vL2tr6OzKaixcvwugnYUyfPr2DUVcejwdh5V8OfP5ddJGLDUcp+t0GBQWB7dndymm7i/a0traGChV0ybC9ER1h0AJRUVGEkEOHDmGJBbx+/ZoQoqurixt6b2xs9PT0ZLFYoaGhogwuFwZ47j4+Ph2M/5aWlu7duxc4K3v16hUcHPzTBDSXyy0uLp44cSJc9l/Zs879Fenp6bq6uj+qORHx6tWrPn36TJw4UTie+/HjR5iwoqysPGzYsIkTJwrCER3PSi9evBi93pP/LTmOLnb58uVdoZRPnjwJcU9cdgLR0V20p5OTEyFETU0NvSAWPHf0toro6GhCyL59+7AEgi549eoV2J64PTZNTU1z5swRlBZhdby1tbVt3LiREBIYGNj+lXFxcWZmZoQQGKcunMT7kRWprKxMEMn5r+JBmAT1uzf89OlTDQ2N6dOnf/78GZHuLCMjQ19f39raWngATExMjLy8vIaGhsCTraiosLe3J4Ts3r27g58O2hM318f/lgxA155Q34IeZwgICJCQkCCE4DJjiY7uoj1hVfXp0wdd8vbt2wkh6JyD4eHhuNoTALZn3759ET13Ho/X2Ng4f/58JpOJNYgJ0NraunnzZkLIqVOn2r8SRoROnz793r17vxT7+fNn6DXS1tbGtcFfvHiho6MzderUjx8/IjZNv3r1qnfv3tOmTROYtFwu98iRI4SQxYsXC/x0LpcLHNjOzs4dpCkBI7EjD+23AAEBdDWHrj3hOzpx4gTYnp04L7sU3UV7Qkeanp4eumTglkfXnjdu3CCE7Nq1C1fs27dvCSH6+vq47BgwgEhcXBx3lEhra+uGDRs64rkHBwf7+/sLuFra11zl5eXjx4+H54Bb9/r06dOePXtaWVkVFxcjis3OzjY1NbWzsxMuhEpLS9uyZct3cduysrJ9+/Zdu3atqampI5Kh3g7X9uTxeDDsC7fxjM/nw2KIj4/HFRsYGAi2JzpTmojoLtrTxsYG4lx8PL8SAFkj9Jw7aM/9+/fjin3z5g0hxMDAAFfd19fXz549uytsT4h7/rJj9bfc5IqKimnTphFCtLS0Hj16hLge0tPTDQwMLC0tS0tLf/eu/gtVVVVHjx5VVlbW0tIKDg4WeJcwF/a/fquDcVtYvYJKCaxHAfEWRNIDAREnIQRGBCKG4EJCQoDqFJ2lV0R0F+3p4OBACFFVVUWXfPLkSdzTG7ZcQkICIeTff//FEgvIyclhMpm6urq4JPBNTU0rV64UDCBCEQuRx3379hFCAgICRBcoQFVVFcwW1dXVhX4YrBhlZmamqanptGnTfndC9Xc3IHiAbDZ78eLF0AlDCJGUlBw9evR/NaR2wvFct24di8XCClAKVPby5cslJSV/yu/5U7XewQWzevVqFovVTgvTdwWbHRQr4Fj606n5c8ydO5cQoqSkhD66BCbfovfexsXFEUIOHjyIIk2wjLKzsxkMRt++fTsxh6Odtdjc3Ozl5aWgoCB8ioioQ6FecuPGjQwG4/r166KI+g5lZWXjxo0j2HONeDzey5cve/XqJaCS++UT+OVqPHjwIPkBWNOu+Hy+t7e3rKwsOgn8smXLWCwWeq/Rxo0baTSaIEsmygITfvL79u2DPnfcOjPR0V205+TJkwkhI0aMQJcMcU90fs87d+4QQhBNOcDz588JIcbGxlBixeVyed8AF8DrtrY2MGRgnGdLSwu809zczOFw2traWltbORxOa2trW1sbj8erra2dN2+ekpJSbGwsVLm3trY2NzfDL8LrxsbGxsZGeKelpaW5uRl+vaGhob6+vr6+vq6urra2ls1m19bWNjU1sdnsysrK1atX0+n0EydOVFdX19TUVFdX19bW1tXVsdnsr1+/fv36tays7MuXL8XFxfDP8vLyiooKeAdewDsA+GdGRsaQIUOgBiMyMrKsrKykpKS8vLysrKy0tLSkpKSgoKCkpCQnJ6e4uLiwsDA/Pz8vL+/9+/e5ublZWVnv37/PysrKzMzMzMzMzc3Nzs7Ozc0tLi7Oz8+/efOmnp6eubl5UlJSenr6q1ev0tPT09PTX758mZ6e/uLFi6ysrGfPnqWlpT158uTp06ePHz9OS0t78ODBo0ePEhISUlJSUlJSHj58+PDhw2fPnqWkpPyoOgkhpqamcXFxSUlJd+/evX79+qVLl0JCQi5dunTp0qWwsLDTp0+fOXMmKCjo/Pnzx44dO3fu3NGjRw8fPnzs2LETJ06cPHnyzJkzZ86cOXnypL+/PxQ5zZs37+jRo8ePH/fx8fHx8dm8ebOvr+++ffv8/Pz+/ffftWvXrlmzZt26dVu2bFm5cuWmTZu8vb1Xr169YsWKpUuXLl68eOHChfDT1dV1wYIFs2bNUlVVJYQYGhra2trOnDlz+vTpM2bMmDx5sp2dnb29/YQJE6ZNmzZlyhQrK6sJEyZMnTrVyspq/PjxI0aMGDFixKRJk8aNGzdo0KAhQ4aYm5uPGDFi3Lhxo0ePNjMzAx2noKDQr18/bW1tdXV1bW1tXV1dJSUleXl5XV1dFRUVeXl5JSUlTU1NXV1dIyMjFRUVdXV1FRUVOTk5SUlJBQUFCQkJcXFxcXFxGRkZBQUFSUlJwYP9E/f8OUB76ujoFBUVwQ4pLS0tKioqLCwsKioqLi4uKiqC7fHhw4fMzMzCwsLi4uIPHz7k5eV9+PDhw4cPRUVFOTk5WVlZsFuysrKysrLy8vKgMPjy5csvX758+fIlbJi3b9++ePHixYsXT58+ffToUXJycnJycmpqanJy8sOHDx88ePD48ePU1NS0tLSEhITU1NT79+/fv38/OTk5JSUlKSkpOTkZ4n2Ojo7x8fHR0dERERHR0dE3b968efPm1atXg4ODL168eOXKlbCwsLCwsPDw8LCwsMuXL4eGhl6+fDksLOzSpUuhoaGXLl06fPjwqVOnTp8+feLEibNnz27dupUQIisru2zZsmPHjh08ePDQoUP+/v6HDx/28/PbuXPnpk2b1q9fv2PHjh07dmzdutXb23vdunXe3t7e3t4rV65ctmzZ2rVrV6xY4eXltXjx4vnz5//zzz+rVq1atmyZoaEhIWTMmDGLFi2aPXu2u7v71KlTHR0dXV1d58yZY2dnZ2NjM23atOnTp9vb20+fPh32D2yq6dOnW1pajh07duTIkWPHjh07duz48eNHjRo1evRoJSUlcBqGDRtmaGiora2tp6dnYmJibGxsZGTUr18/U1PTPn36KCsr6+vra2lpaWpqGhoa9ujRQ05OTkNDQ1VVVekboPVITU1NMA2NEMJgMFRUVFgsFpPJBJJHQgidTockbMdBp9Nhb/+fAjqdDsN8CCEUCoVOp8NPeEGhUKhUKv0bGAwGg8Gg0+lMJpPFYjEYDHFxcUlJSUlJSQkJCRaLJSkpKS0tLS0tLSMjIyMjA4MuZGVl4bHDkxdASUlJUVFRXl5eQUGhR48eSkpKPXr06NGjh6qqqqqqqrKyMrxWUVFR+4aePXuqq6uDplNUVNTS0oLvGqCtra2tra2lpaWtra2jo6Onp6enp2dgYGBgYNCnTx8DAwNDQ0NQx4MGDRo6dKi5ubmlpeVff/01efLkmTNn6unpwXPAnaciOrqL9gROf0LI4MGDR44caWZmNmjQIBMTkwEDBhgbG8NPPT29vn379u7dW11dXfAF6Ovr6+joGBgY6OnpwVerpqamqqoKR5yurq5g/SkpKUlLS0tKSoqJicnIyDAYDBqNRqVSBXtSGLC8INoiKSlJoVBoNBqNRhMXFxdM0xVI7shMt3YAn0WlUr/b3pKSkiwWS0xMjMViwaewWCwajcZisWSEoKio2KNHDwUFBVlZWVlZ2R49esA7qqqq6urqampqGhoaGhoaEJuTk5Pr1auXlpZWz549dXR0dHR0dHV1YaHD6z7f0Lt3b0NDQwMDAyMjoz59+hgZGfXt29fY2Bi+DlNT04EDB5qamioqKhJCNDQ0zMzMhgnBzMxs8ODBQ4cOHTZsmLm5+fDhw83NzeG/Ro8ePXbsWHNzc9DFFhYWlpaWlpaWEyZMsLa2nj59+ogRI6Azj0qljh492t7efsaMGS4uLn///be1tbWNjY2tra2zs7ODg8OUKVNsbW1nzJgxbdo0W1tbR0fHmTNnzp49e+7cuS4uLnPnzp0/f/68efMWLVr077///vPPPw4ODkwmU05OztXV9Z9//lm8eDG8v3r16lWrVsFPHx+f7du3b9y4ccuWLbt3796zZw8cWn5+fjt27Ni/f/+pU6cCAgJOnz595MgRwcYWhoaGxo0bN86fP3/58uWQkJDg4OCQkJAbN24EBQVdvHjxwoULgYGBISEhoaGh169fv3379vXr1yMjI69fv37lypWIiIiwsLDIyMiHDx/GxcXNmDGDEOLj43P//v3Y2NiEhIR79+7FxMRERUXFxcWlpKQkJiYmJiYmJSUlJSUlJCQ8evTo2bNnDx48eP78eUZGRkZGRnp6empq6vPnz9++fZuRkZGVlfX8+XMoIAsICCgpKcnPz8/Pzwdjpbi4uPQbwC4pLS39+PEj/KyoqKiqqvry5Qu8Li8vr66urqurq6qqqqysrKqqgl6joKAgcGtqampqa2vr6+ubvgH8IQ6HA95PS0sLOE/gp4ODxeVyvwuPBgYGQq8R7oQS0dFdtCfwGBJCrKysJk2aZGlpaWVlNW3atGnTpv3111/W1tZgCllbW9va2trZ2Tk4ODg5OTk4OMyaNQteODs7u7q6Ojk5OTo6uri4uLu7z58/f8mSJTDzY8qUKR4eHvPmzYNZF0uWLPHw8Fi0aNGSJUuWLFni6em5aNGipUuXLliwYOnSpcuXL1+2bNmaNWs2btzo7e0Nm2f79u07d+708fHZunWrr68vlFgNHjx49+7dBw4c2Lt3765du/bt2+fr67t3797du3eD2Xj8+PGjR49euHDhwoULAQEBgYGB58+fDw4ODgoKgk0IWyg0NPTatWsxMTF+fn6g49atWxcbGxsdHX3r1q3o6OgrV67cunXr1q1bsLUSExNhIyUkJIBfmZKScvv27bi4uNTU1AcPHjx8+DAtLe3Zs2ewi9LS0uCGt23blp2d/erVq4yMjFevXr158+bdu3dgj798+fL169cFBQWFhYXgDufk5OTk5JSUlIAHkJ+fX1xcXFxcXF5e/vXr14qKitLSUijx2759O5vNht0CnntNTU1FRUVlZSX4+3V1dbDNqqurYedUVlY2NDQ0NTXBToP4A4fD4fF4eXl5ULGkqqqamJgoSF5DnkqYzq61tZXH43E4nKamJkgpCFrXYQcKB1U4HE56enq/fv0mTZpUVFSE0ueenJwMXafCOHHihIhiBdixYwdBTY4DoGKpc5NQ28HevXsJIbdu3cIVe/r0abBqcevMREd30Z5QFSwuLl5SUlJRUVFWVgYHHYTPIKD29etXNptdX1/f2NjY0NAAZ5cgbMfhcOBMa25uFq6W2LNnD/lWg/bLJEDHc1ZJSUlEtCnBP8X79+/FxMS0tLQ6wX/TDgMNh8MBvgnRx9h9B19fX9KBavnfQllZGVQsaWtrC9ckfkcD2hEIa08ej5eent67d+8pU6Z8/PiRL1rAGp52a2vrwYMHNTQ0QG9qampu3LgRsaEQKigFneNYEXbQngLCLazm3S7S9adOnYJ6T/TshYjoLtrTxcWFEKKiooIuGbKi6IytiYmJhJCdO3d25OKOL82XL1+STlWJt78BGhsbFy5cyGKxvqv3FHHPcDgcCNT+kh35uw9t53O5XO6XL1+A90BHR0e4WELwi52+7VevXhkbG0+aNKm0tBSL7qyurv3plGUAACAASURBVC44OBhiuFeuXIHmfSx9BJ1yogx8bkcsupEIYnGZaPh8/tWrV4FsBbd9WXR0F+0JfmVXdGqCL4z43GFX/Jb27Dhev35NoVD09PRwG/Pb2trWrFlDpVJxR4m0trZCSQNu10B1dTXU/yorK/+0ULfTiikjI8PExGTixIm4PmB+fr65ubmFhQUU4SMCPCdRxqn+FNBfiztglf/NEYFqeUSEhoZCtXx+fj6uZBHRXbQnZMYVFRXRJcPoYETbE7buvXv3CCHLli3DEgvIzc0VExPr2bMnLlENh8PpII3x7wK295EjRxBlVlVVzZw5E9Iv0DTdCTvxpz7++/fvhwwZYmFhgZt/+PDhw9ChQ0eNGoU+PgusOXTtCWJxx7Tw+fwDBw50he158+ZNeXl5Qghu3avo6C7aE7JGCgoK6JKhWh7ruUOKkP8t7unl5YUiVoAPHz5ISkr27NkTl/ebw+F4e3uTLhhjd+jQIULI4cOHEWXW1NSA7ampqYnLZFFSUjJq1KixY8cWFRUh9mXk5uZCyQF6UhgOp2vXruGKhTEh6Er56NGj5FsRNCISEhKA2DArKwtXsojoLtpz0aJFhBBpaWkRA1s/4vjx412RXoRK6fnz5+OKLS4uVlBQUFVVxWUP43K5HSfi/C0cPnyYoHLsc7nc2traWbNmEUJkZGQgBYGl6QoKCoYPHz527FhcNZebm2tubm5ubo5ue+7YsYNKpaL7whCtRk/vgO2JbtLeuXMHCuN+a6jJ/wvoLtoTKLMYDIZw5RcKoM8dt5WQz+enpqYSQpYvX44rtqCgQFpaWk1NDVd7cjgcmJqA2EQIgCIVXM+9pqYG+tzV1dVxbc/c3Nxhw4YJWEKwkJeXZ2ZmNnr0aPS4Zxe52MBO0EW2Jzq3vEB7ZmZm4koWEd1Fey5btgw899+yMgR+dDs4e/ZsV+TcYYTG6tWrccWC9tTU1ESPe65btw49a8T/Znviak9ghALticuilp+fP2LEiAkTJnz69AlRbFFR0ahRo4YPH45ue0JSDt1zgoAAulKGgAC69rx165aCggIhRMBw2E3QXbQnFF3LyMh0kPcQ0JG6kEuXLhFCcIeL8fn8tLQ0Qoinpyeu2KKiIiAkx4178ni8jRs3UiiU4OBgPp5pz+VyuyLuWVtbC7MG1NXVcZ9Dbm7u4MGDJ06ciGskZmdnDx48eNy4cejac8uWLVQqFZ1KDhjq0NM7wFCHzoR/48YNqFgSHlnaHdBdtOe6desIIbKysrjknnw+/9y5c11RnJGcnEwI+eeff3DF5ubmSkhI6Ojo4Kp7yBqJiYnh5h/a2trAOMKtlq+uroZZAzo6Oj9lUes0MjMzTUxMoN4TUSywI3eF575v3z4mk4keoAQ1h17vCUcputjIyEjIuQsPdOkO6C7aE3Lu2tra6JLBm0BnqIuPjyeEeHt744rNzc1lsVja2trtkCR2AhwOB7pWfjmA6LfA4/EgUeDn54cols1mQ/eEkpISLlF5Tk7OsGHDxowZg2skFhQUmJubjx079ndpQ38JiHvevHkTSyBYJ1CAga7mdu/e3RW257Vr18D2hA6x7oPuoj2BX0BGRgbd9gwKCuqKb7SLKpYg7imoc0TEhg0bqFTq5cuXEWVyuVxozkP03LlcblVVFdie33Vqio6srKz+/ftbWVnhRtAyMzMHDBiAXkbK5/N37NhBp9PRVy9oT8S4J2xbOErR454JCQlA5fWnWv7n8PDwgGp5dO0JeUDcMUH8b71G27dvxxWbm5srKSmJPg2Nx+OtW7eORqPh9rlzOBxo5Tp+/Dii2JqaGuDcUldXx609KC4uFtR7IootLCwEEil07Xnw4EEqlYoboOTxeFC+hliIAtsWqgPRq1Pv3r0LOfe8vDxcySKiu2jP+fPng6eGPpE4MDCQEIIbPuPz+Q8ePADbE5cMv6ioSE5OTk1NDX1i165duwghFy5c+OWVHalkEAAOp927d4t2d/8DbDYbtKeqqirucygpKRk7duzw4cNxKwdzc3OBmxI9awRxp6tXr+KKBSMRvfHszJkzhJDQ0FBcscnJyUD5ihvOEh3dRXsCxxKLxUIfXXLx4kXSBXP+7t+/TwhZsmQJrtiioiKgpEU3N6AHuSNxz9/SnidOnCCEbNu2DdFpqKurg9NUQkICtyaxuLh43LhxAwcOxJ0SCBVLxsbGHz58QBTL/1Zvh66PTp06RQg5d+4crtiQkBBCCDqP1+PHj4EM/7sBpf/r6C7aE3IaYmJitbW1uJJh+CX6Mfvs2TNCiIuLy4//BYyTnRP7+fNnTU1NOTk59PJ+KJA+duwYrljQnjt27ECUWVNTA5EccXFxxIQJn88vLi62sLAwNzfHjaBBGemAAQPQXcuTJ0+KiYmhp3cg3oJO3QTFv+hlpDExMVDvmZubiytZRHQX7QkFaAwGA8Z1IeLKlStd4fuA9nR0dPzpAMJOG2IlJSU9evRQVlbGDb1zuVyg1cHNufO/0Qjgeu5VVVXQqamsrIwb98zJyRk8eLCFhQVUy2OR1GVlZZmYmJiZmaHT94Kawz1C+Hz+li1buqLXCPr60PtK4+PjIWuEO6ZbdHQX7QkcSwwGo6mpCTdxBIE59IgJ9Lmj59xzcnJYLFbPnj3Rm6O8vb1pNBpuzp3/rcTvwIEDiDLZbDZ47goKCrinSEFBAUxnKiws5ON1DZSVlU2cONHExAS9IPHChQvkN+lTOwLw3NEXw/Xr17uCJeTp06dqampdEX8TEd1Fe0J9n4SEBLrnHhwc3BWnd2ZmJiHEzs4OV9d//vxZW1tbTk4uPDwcUSz/m4uNODQCAI93w4YNWHYcn89vbGxctWoVnKY3btzAEsvn8ysqKv7666+BAwfiZo0+fvxoYWFhYmKCTmMBvjC6iw1BcHSHDLJG6GIFtueLFy9wJYuI7qI9wYSh0WjorayRkZGEkICAAFyxr1+/JoQ4ODjg5tw/fvwInjuu+8PhcKCS+ezZs3xUEhbYMHv37sUSyOfzGxoaPD09CSHy8vKC6REoKCkpsbCwGDZsGG6Asry83NLS0sTEBD1rBBUj0F+LCHCxEdUcrCjIGqFbyoKsEXohioj4X9Oe3ykdKN9lMBjV1dW4H3T58uWuOL3T09Mha4Rue2poaCgpKaHn3CGCgW57nj9/nhDi4+ODdYrA6DfgPZCQkMAlyPjy5cv06dNNTEyys7MRxYJJa2hoiJ7WOH/+PIVCQbfmjhw50hVxT1gM6Bna1NRUFRUVQkhGRgauZBHxv6Y9v3P0oK6tK7JGd+/e7Ypv9M2bNxQKxdHREVdsWVkZeO7gsaKoZuFKZlwyJP436n7ECSUcDqehoWHhwoXAe/C7cc/2AwhlZWUTJkwQxD2xALbnoEGD0MeWnThxgsFgoHMsgfZEbwoCRh70KNnDhw9Be/7x3H8OaPgTExND154QyUZnCXn+/DkhZOHChbhiCwoKlJSUBOzIiIYtxEbOnz+PJRAA+QfEnDuPx2tsbATGQkVFxd9NFLSvPb98+fLXX3+ZmZnl5eUhPls2m21tbT148GColkcM5pw7d47BYKB7TmAkitIUxOVyv5tXyufzr169SqVSBaHq767pNJ49ewZZI/RsvojoLtoTqHokJCREH7H9HW7evEl+kyGxnYJNQTVSZmYmk8mcO3cuzl1+w+fPn3V0dBQVFdGL5iCC1gkypPb1EZgbuPWeTU1Na9asIYRISUnhRjBqamrs7e0HDRoEyfGOZ7raV4j19fX29vb9+/fvSBkph8Pp+CIHhjBcz53H4wUEBHRFcvzatWvC2hMLL168UFdXJ4Tcu3cPV7KI6C7aE7g8GAwGDHRFRGxsLCEE/RvNzs5mMpmzZ8+GfwrOWBEP28rKSgMDA0VFRfQCaah9Qc+eQaIAt9+/tbUVZg1IS0vjniLAfTd06FDcrFFDQ4OtrW3//v1RAgLCSwgqJdqJO/1UrQvOeC6X29TUBPq6ra1NcFrAmO7AwMDy8vK2trbm5mbokG5ra6urq6utra2tra2qqmKz2bW1tdXV1V+/fv369evnz58/ffr0+fPnsrKyioqKioqKT58+ffz4saioqLS0tLS0FNrnjx07VlVV9eXLl+Li4rdv3759+zYzMzMjI+P169evX79+8eJFamrqkydP0tPTnz179uTJkwcPHjx+/Pjp06epqalJSUnJyclPnjxJTU1NSUl5+PDhw4cPd+zYIS0t/Ud7/ieAiUtMTAy9UzMqKuq3skbCa5fL5ba0tHA4HMG8EEEX46tXr6hU6pw5c3g8Xmtra3NzM4fDAaO1tbW1tbUV3JbW1taWlhb4xba2NriSz+e3tLS0tbVBhqSpqamhoaG5uZnH4xUVFWlrayspKYWHh8P/trS0tLS0NDY2NjY2NjU11dXV1dTUtLS01NTUsNlsWOs1NTWwxMvKyj5+/FhVVVVVVVVdXV1dXV1RUfH169fq6mooUtm/f39tbW1lZWVZWdmnT5++fv365cuXT58+ffr0KT8/v7y8HLZHYWFheXl5Tk5OXl5ecXFxfn5+bm7uhw8f8vLycnNz3717l5mZ+fbt2+zsbCjn9vLyys3NzcnJef369ZMnT168eJGenp6VlfX27VvBO0+fPn327Fl6enpaWtqjR48SEhLu37+flpb24MGDBw8exMXFxcTE3Lx5Mzo6+vbt25MmTSKEEEI2bdqUmpoaGxsbExMTHR199erViIiI69evh4aGXrt27eLFi2fPng0KCgoICAgICAgMDDxw4MCJEycCAgL8/f23bdvm5+e3d+9ePz+/kydP+vr6rly5Ul1dXV5efsWKFf7+/uvWrfP29vbx8dmwYcOGDRtWrVq1dOnStWvXrlmz5p9//vn333+XL1++atWq1atXL1iwYN68efDT1dXVzc3NxcXFxcVl6tSp7u7uU6dOZTKZhJAJEyY4OztbW1tbWlpOnjx58uTJ48ePHzNmjIWFxYgRIywsLEaOHDl48GAjI6MxY8aMHTt24MCBgwcPHjJkiImJiaGhob6+fq9evXR1dY2MjAYOHNivXz8WiwXPQU9PT01NTU5OTlVVVUVFpUePHqqqqmJiYiwWS0FBgclkSktLS0hIyMjISEhI0Gg0cXFxcXFxJpPJYDBAApVKpVAo5P9k/NGePweMx2EwGImJiY8ePbr/DXfu3ElKSrp3715iYmJSUlJ8fHxCQgK8uHv3bnR0dGRk5M2bN2/dunXr1q3w8PDIyEjYWqGhoVeuXImKioII2pw5c8LCwi5fvnzhwoWAgIATJ06cPHny1KlTZ8+ePX78+MmTJ48cOXL06NHdu3cfOHDA39/fz89v27Ztmzdv3rRp0/bt2319fTdv3uzt7e3t7b19+/Z9+/a5u7sTQpSUlFasWLFy5crly5cvWbJkwYIFHh4ec+fOnTNnjqenp6en59y5c11cXGbPng0/nZ2d7e3tXVxcpkyZYmVlNX78+GnTpk2bNk2w2UaNGgULRVtbe8qUKcOHDzc1NR0+fPiAAQMGDRo0YMCA3r17GxoaDhgwwMTEpF+/fr179+7du7exsbGxsbGhoWGvXr00NDTU1dVlZWXl5ORkZWUlJSVVVVWBooYQQqVSFRQUJCQkxMXFxcTEmEymmJgYlUqlUqmCNSr8+v9L+O7vAm0CP+EFnU6n0Wh0Op1OpzOZTHg4DAaDwWDAs4LnJoCUlJS0tLSkpKSUlBQIl5SUlJWVlZaWlpWVlZGRkZGRkZWVhddyP4OioqKKioq8vLyCgoKioqKCgoKSklKPHj00NDSgcA1sLmlpaW1tbQMDAy0tLR0dHV1dXQ0NDX19fWNjY319fQMDgz59+vTr18/Y2NjIyMjExKRPnz59+/YdMmSIubn5sGHDRowYMXr06EmTJg0aNMjMzGzUqFFaWlqEkB49esycOdPW1nb8+PE2Nja2trZ//fXX1KlTp0yZMnPmzGnTpllbWzs6Ojo5Odl/w6xZszw8PNzd3efOnbtgwYKVK1du3LhxzZo1a9as2bZtm4WFBSHE0tLSz8/Pz89v9+7d27dv9/Hx2bp1q5+f37p163bv3r1v3z5fX99du3YdOHDg2LFjR48e9fX19ff39/f3P336dFBQ0NmzZy9evHjmzJnz589HR0cnJCRs2LBBQkKCEII7aEB0dBfteezYMcGylpSU7IrNQ6PRCCEUCoVGozEYDHgBr6lUKo1GYzKZcFyLiYlJfgNsBmlpaQUFBTk5OVjfCgoKQHZNpVLVv0FVVVVTU1NNTU1bW1tLS0tTU1NLS0tbW1tXV7dXr15gU+jp6enr6+vr6+vp6fXp08fQ0NDQ0BDWvYmJCax7uFtNTc0BAwYMHDhwwIAB/fv379+/v+k3wJuDBw82NzcfMWLEyJEjR48ePW7cOEtLSwsLi8mTJ48ePXrMmDEwaWfixIkODg7W1tY6OjqEEC0trenTpzs4ONjb29vY2Njb2zs4OMyaNcvNzc3d3d3Jycnd3d3Dw8PNzW3evHkLFy6ETeLh4TF//vwlS5YsXrx4xYoVq1evXrt27YYNG/7555/Ro0cTQkxNTX18fDZt2rR69eqdO3fCSePj47Nz585Nmzbt2rXL19f34MGDO3fu9PX13bNnz549ew4ePHjo0KGzZ88eOnTo0KFDx48fP3/+fEhIyJkzZ06dOgViCSGLFi26du1aREREWFjYlStXrl69GhwcfP78+aCgoLCwsNDQ0IsXL4aFhV27du3q1avR0dExMTEREREhISE3b96MjIy8devWzZs34+LiUlNTHz16FBwc3LdvXw0NjVOnToHZm5qa+vjx44cPH4KB/ODBg5cvX2ZkZLx//z4vLw9M7Ddv3rx8+fLNmzdFRUVgfWdnZ79//17gt2ZkZEycOFFFRSUxMZHNZn/8+LG8vLy0tBQ8XHB1v3z5As4v+Afwz/r6+qampq9fv7LZbDabXV5eXldXB8Gr1tZWDocDJQ0HDx4ElwjcF/C1BT67wFv67h3whMAHEvw6vAgNDaXRaIIwDlaaKyoqCp1Dls/nv337VlNTk3QBS6+I6C7aE1K3sFv8/Pxg++3cudPPz2/Xrl379+8/evTokSNHDh486O/vf+TIkSNHjgjsR/DUAgMD4Z3AwEDYhyEhIVevXgXb08bGJjw8HLZZREREdHT0lStXIiIiIiIiIiMjw8PDIyIibt++DfZsVFRUXFxcfHx8bGxsUlISWLuPHj0SBGjS0tKuXr1KCBk+fPjz588hoPPy5ct3796lp6fn5OTA7gLPt6CgoLCwsLCwMD8/v7CwsKio6OPHj/n5+Z8+fSopKfn06VNFRUVVVRV44pmZmcrKyjIyMqdPn66tra2vr2ez2dXV1ZWVlTU1NeCkAxobGyEs0NzcXF9fX19f39jYKIheQfQANiefz+dwOBBB27Nnj/Bm+y5K24mgLdAIbN68GWERfENLSwtMakFPN1dVVc2cOXPgwIG4k8EbGhocHR2NjIxQ6j2Fv4WbN28ymUwBr6AoUXVh+oWwsDAKhXL+/Pm2traOcEK2PydcIDkiIoIIRWl53yDinT9//hyyRn84ln4OaH5gMBhfvnzBlQwk8OiVOkVFRTIyMk5OTrhiq6urTUxM5OXlQWtgVdXweDxoCkKkMYZdFxoaSgjx8fHpSP76l9sP0NzcvH79ekIIk8mE7NmPxCudezJVVVV2dnb9+vV79+5dp4X8+IvV1dU2Nja9e/fGVcp8Ph8OafTuHUjlo2+KLuIze/ToEfQaoZM/iIjuoj3BMqLT6ehj827dukVEzjULn5/wMycnR1xc3MHBAfJIWGruy5cvhoaG0tLSolA6/vRm4Hzy9/cXvCNiZzp8CtCn+vj4/BYraPtoamqCPncWi4Vbev3ly5cZM2aYmJiAmsP61r5+/Tpt2jR9fX30Pnc4nNC1J9SZQdsuIq5du0awRwTyhVhC0Mv4RER30Z7QCUOn07uoz/3o0aNYAmHLZWdnU6nUGTNm4HZqfvr0SV9fX0ZGBr0WDzo1hXuNUO4cCqG2bt0quigB6uvrly9fDpEcXKpdqFjq06fP27dvEcXW1NTMmDFDXV39zZs3iGL53wIjXURjjEhXCCdxREQEhULpyPyC38Lr1681NDQIIejUOSKiu2hP8CvpdDr6ZBiwPXGHPvL5/OzsbAqFYmVlJShO6rQoLpcrsNoqKir09PRkZGQQtQYIhyd88OBBLLEA2N7r169HHKki4Fii0Wi4Q3LYbLa9vb2RkRGui11XV+fo6KipqYmolAWRRBqNdvr0aSyxABCLrpTj4+MZDAa62JcvX0LcE50tRUR0F+0JJgydTkefiB0XF0d+kwSoI/TGOTk5YmJilpaWot3d92Cz2SYmJlJSUuiJS+g18vX1xRULh9O6det+Kw7Qvo/f0tICbNkEu82mpqbGycmpd+/euEYim822tbXV1tZGj3veunVLTEzs5MmTuGKhOQU97nnz5k0qlXrmzBlcsYJeI/QOehHRXbQnxJtpNBr6XC0Yfrlv376O/0pHtGdubq6YmNi4ceNwGeoqKyuNjY1ZLBbiyoa/BWpf0LVnWFgY6QJ+T+BYolAouBGMz58/T5061cjIKDMzE1Esm822sbExNDTEpW7ifwsro1tzEChDD6eGh4d3hVIW9LmjN+CJiO6iPYG2gE6nV1VV4UqOiYnBzTUDsrOzaTSajY0Nrtjy8nItLa2uiHvChvmtU6QjgPwDetwTtCeVSsUdiAYMdX379oWcOxYqKiqsra179eqFrj3Dw8PpdDo6ryAko9CzRjExMXQ6HT06lJmZCfWe6OpeRHQX7QkZYTqdjs6xFB0dTbqAmQ1szylTpuCK/fr1a+/evSUlJRFDPGB7opMhAcDcWLt2LSK9S3Nz89atW8Fzx01B1NTUzJo1q1evXrgzNWtra//++29NTc0u8twRc56AqKgoOp2OPuQqJiaGRqOh321WVlbPnj1JF4wSERHdRXtCrQOVSsUddsjn85OTkwkhW7ZswRWbn58vJSU1cuRIXM+dzWabmpqyWCz0xCVY9+jZM4h7rlmzBlF7NjU1AVs2FA8iPuHGxkY3N7e+ffvieu51dXUODg7a2troFUtge6Lro1u3bjEYDHTKmNjYWAaDgW4pv3//HrQnegRDRHQX7Qnjceh0OkrcUziLnZCQQAjZtWuX6GKFUVpaKi0tPWrUKFztWV1dPWTIEAaDgR56hwDltm3bcMUC+fSqVasEXYAiAvoLgbEQgmiIT7i+vt7d3V1PTw83a8ThcObMmaOlpYWrlPl8flxcnISEhHCVLgpu377NZDIPHz6MK/bevXtMJhM9Svbu3Tvw3NGzZyKiu2hP6PGi0WgoM12F0z6PHj0i2BRqfD6/vLxcQUFh1KhRuISkdXV1ZmZmTCYTPfQOE0oQSeABUNKwZMkSaAkVHdBmKtCeZ8+eRayobWpqmjt3bs+ePTMyMlDE1tfX8/n85uZmZ2dnLS0t9HrPmJgYMTExdGvu9u3bXWF7JiYmMhgMdEs5JycHaE1CQkJwJYuI7qI9IbdDp9M/fvyIK/nx48dQkIgrtqysTE5OzsrKCldsbW3t8OHDGQxGJ2JS7asD0J7opwiElVesWIEb94Q+d7A9EbuYGhoa5syZo6Ojgxv3bG1tdXd3V1FRef36NaJYPp8fGRnJYDDQrbmEhARxcXF02/P27dt0Ov3QoUO4YnNzc8FzR1f3IqK7aE/Y2zQaDZe2lv+tYgk97llcXCwlJTV27FhcsWw228zMjE6nd8Jz/6+aIVA9UNa+ZcsW3FADaE/w3FEEAhHqrl27QHsGBgZ2pICsg2hpaVmwYIGOjg6umuPxeHPnzlVXV8dN5fP5/NjYWBaLhZ7zjImJYTKZBw4cwBULcc9jx47hii0oKNDW1iaEXLp0CVeyiOgu2hOyRjQaDX0q4YMHD7pCexYVFUlKSo4aNQpXLJvNHjRokJiYGGI+VHha7NatWxELM/nfGmERtSfErGFK4I/tJSKq0dbWVk9PTx0dHdzpjK2tra6urr169ULPGsXGxjKZTHR9dOfOHSaTiRhOhe8lPj5eTEwMXSmXlpYCvyJ6MkBEdBftCQzwNBoNPecOcU/0rFFubi6LxUK3Paurq01NTZlMJnotHtRdb968WUTb8ztLELJGXl5eKEMBuFzu69evIyMjnZ2dQXt6eXlFRUW9e/eutrZWRNXJ5XJbW1uXLFmipaWFO52Ry+XOmzdPRUUFNyDA5/NjY2MlJCTQKyVSUlKkpKTQi3/v37/PYrHQteeHDx8g7ok7Pkt0dBfteefOHcSskTBSU1Nxy7lhD4PtOWTIEJi0gYXa2logBkYPHsF0vJUrV4poJH6nPe/du0ehUDw9PRsaGjonDSgmGxsbY2JiXF1dTU1NNTQ0xMXFQXtKSUlpaGgMGDBg8uTJwcHBkKXp9J03Nzd7eHjo6emhxz3d3Nw0NTXRtWd4eDiNRkPXR1FRUV0RTgV2ZHRLOSsr60+1fHsAFk4KhYIeOUpLSwOtgSUQdEdpaSloT6xcM6C6unrgwIEMBgN9+CXYnrt27cKNe0KxxLp16zqnlOFmXr9+bWtrKycnR9qFtLS0u7v7hw8fOh0Jraurc3V17dOnz7t37xAjGE1NTc7OzrgsIQAoLUI/Su/evdsVpUWJiYlMJhO916iwsBA8d/QiaBHRXbQndGFj1XsKA0pq0E/v3NxcGRmZrmAJGThwIIvFEi4M7uA+b1+hQGQZt6WS/+3xLlu2rNMm7bt37ywtLQUqcsaMGf7+/osXL4Z/rlu3LiwszNbWVnCBvr5+VFRUJ8pLYcreggULtLS0cOOezc3Nbm5ucnJy/xd77xnWVBa1DW+K9JIQQu8dBKXooKJYAAUFLNhQBAVUBEGRIsURe0fsjr2MOrbRUUesiCgIgogK0qT3EmqAhEDI+2NdnisPTSTb7+F9v7l/eB3iycrJwzfu1QAAIABJREFUyd73WX1hb34eHx8vJSW1b98+vI0QX758KS4ufujQIbxiExMTxcXF9+/fj1Emh8tyx54LxSNGCntCZFxAQKCwsBCvZPB78qh79l1kJSUlYmJi5ubmMAsT1ypsbW2dOnUqQigmJgbvyoZs+Z9thvRDxMbGIoQ8PDyGUmLL/Y1A6wS/HtCiqqrqixcvOBxOV1fX/v374cXLly8DUWZlZdnZ2cGLgoKCT58+5fz8QJ6Ojo6VK1dCxhJGHby9vX358uVUKjUjIwOXTMDTp09FRUWx+/sgY4kYl4QLr169EhUVxV6RQbAndq2WR2BgT3Bd9d2T8PoQ1yhhuWO3fcDv6e/vz4uQvt+uvLxcSkrKzMwM7wD6pqYmc3Nzfn5+7I9ZaOexZcsWvGKfPXuGEFq7du1Q7kOvxVBYWDhp0iQgxA0bNlRXV7PZbBjpDDNWEUIXL15ks9ngG62trV27di28bmlpCekZP7X/29vbPT09VVRU8CqJTCbTzc1NWlo6JSUFo1gOh/P69WsSibR161a8NAdRI+ylE2/evBETE4uIiMArtrKyUlNTE/VX68FkMo8dO3bhwgVu3khOTj516tSff/6Jsedsv8DAnmw2+9y5c5s3b+Y2NlNTU3fs2BEcHNzS0jIUIfHx8aB7Yu9SA9nyAQEBeMXW1NSQyWTQPTGKbWtrs7Ky+hWuBshYCg0Nxev3hMfe6tWrh+L/JSgADnx8fIAKly5dWlVVxeFwuru7odbo4MGD8F9nzpzhfgbTaDRfX1/Cxv/Z7cFgMFavXq2oqJiamtrrwnihJyaT6eHhISEhgX3wzsuXLyUlJQnLHReHvnz5UkJCAqNKCxcGuue2bdu4X+QdBQUFkO/Zb5deU1NThJCZmRm0Z6uoqABrZsWKFVg+fRDgsdz37t0LC/r9+/ccDqempsba2hohNGHChCHu1Tdv3oDuiTeVhMPhpKamIoTWrVuHV2xVVRWZTDYzMwPW4F4ovGxFOp0OljtGIwUuBiz34OBg3scZcX87sNx9fHx+lj0/fPgAa0ZdXR1IByR3d3e3t7cTlZonT57s7u7mHh6Vm5tLaKxv374lxP7wnvf09DAYDG9vb2Vl5bS0NO63cDdGGAZYLJanpyeZTO5FyrzjyZMnoqKiu3btwsuecXFx4uLi2BtuJScnS0hIhIeHY7la4u2lpaUQNeo3QbWqqkpKSorw6S9ZsgQhpKur2+u0J0+e3Lhxg5ecjb7A5vecO3cuQmjcuHEcDicmJgYhJCcnN3RFEtIG+fj4Pn78yMG3SjgcTmJiIhiGuATCtfViT+69N8hW/CGxNjU1TZw4kY+PD3s8FPpPBwYG8piYSXwF+Bcsdx8fn0HWJXE3uG/Lli1b4BcPDg5msVgEdXZ1dXV2du7btw/48fTp02DOA3vCCVevXhUXFyfc2fBeED44CTKZTB8fHxUVFXhI41LDu7q6vL29ZWVlYfX2kjzIL97rAvqe+ezZM3FxcSLfs4cLw7hO4l1v3ryRlJQ8ePDgII/Sn/oIOPnjx4/S0tJQmdL3q/3sABtCQllZGbDnQD2WLly4gBDS09MLCAiQkZEh1DhuGBkZIYTwhlWwsWdjYyNCiJ+ff+HChXp6egihIaZ9cW9Cfn5+7JXC4PcMCgrCJRAuuLa2VlZW1tTUtL29ndjecAL3MfHKEIXT6fTp06cLCAgM0hiib903XEAv/bfXMTFCo7Ozc6Az+37KIPwCVnNcXBw/P7+/v39HR0e/Gge3fkdcJJPJHDduHEJIRUUlLy+PIL7u7zh8+DCw59WrV+EVbuENDQ0wonb06NFDzDMFxmEwGGvWrNHV1YVmSLge0j09PV5eXlpaWti99mC5Yy+dePv2rYSEBPbRwenp6ZKSkv0m2w2ijf7wGZaXlwdRo4EumE6nz5kzBx7GCCEvL6++54AEcBDhAs6YO0xtBDg4OPzUbOEXL15gYc++vwRYiODiGcpuGeKOqq2tlZeXt7Gxgalww7jUfkGn06dMmSIpKTmM8YGDXzkkZmKPWkLGUkhIyOBPiF7XVlhYCM4pT0/PvvTX1dW1Z88eWEi9euwTcubPn48Q0tDQoNPp8BZwmMKjq7OzEw4AkCfPZrObmpog3/PDhw8dHR2tra2tra0tLS1tbW2tra10Or2+vr6lpaWxsbG1tbW5ubmhoYFGozU2NjY3N9fX11dXV9fV1TU1NdXU1FRVVVVUVMC/JSUl8+fPJ5PJsbGxBQUFJSUleXl5X79+zcnJycvLy87O/vr1a2ZmZlZWVkpKysePHzMyMpKTk1NSUt6+fZuWlpaUlJSYmJiampqYmPju3buEhISXL1/GxcUlJSXt2LFDSEhoxYoVT58+jY+Pf/HixcuXL+/fv//nn39eu3btwoULZ8+evX79+p9//nn58uULFy5cvHjxypUrFy5cOHLkyLlz586fP//HH3+cOHHi7Nmzx44di4mJOXbs2KlTp6CUy87O7vDhw7t27dqyZcvmzZujoqK2bt26efPmwMDAwMDAkJCQTZs2BQQE+Pn5rV69et26dT4+Pn5+fuvXr1+zZo2Pj8+aNWuWL1++YsUKLy+vtWvXuru7//bbb/BEdHV1Xbp0qYuLi7Oz86xZsxwdHZ2cnJydnWfOnDlt2jRbW1sbGxs7OzsbG5tp06ZZWVlNmjTJyspq6tSpVlZW48aNmzBhwoQJEyZPnjxp0qTx48dDqjwatFIzLS0NZh/p6ekRzNPd3Z2YmHjy5Mnbt2+DTrp79+7z58/fvn2bRqMNeY0PCMwZS3D75OXlwSE1dEAut6CgIFRqgo3W75mwf0Dx6foO7s0Jb+zp6WGxWEwmE6JGYKR0dnZCABd2F4vFgiqX9vb2jo6Otra2hoaG9vZ2Op1Op9NbWlpgO9XV1cEGa2pqotFoTU1Nra2t2dnZFAplxowZ9fX1DQ0NNTU11dXVZWVlNBqturq6srKyvLy8uLi4sLCwsLCwvLy8oqKivLy8rKysqKgoPz+/pKTk27dvJSUlOTk5X758+fLlS3Z2dn5+/tu3b3V0dPj5+YODgz9+/Pjhw4e0tLT379+/ffv29evXsbGx8fHxiYmJ8fHxcXFxb9++ffr06ZMnT169ehUXF/fw4cPY2NgHDx48fvz4+vXrZ86cOX/+/N27d2/dunXt2jV/f3+E0JQpU65cuXL16tULFy6cP3/+2LFjZ86cOXr0aHR09K5duw4dOnTo0KE9e/bs3Llzx44dO3fu3L59+9atW8PDw0NCQoKCgjZ+R3BwcHBwcFBQ0MyZM4HFvLy8Nm3a5Ofnt2rVKm9v7+XLly9dunTZsmWLFi1aunSpg4ODs7Pz/PnznZ2dXV1dITKGEBIWFra3t4etNWPGjBkzZjg4OEyePJlCocAJGhoaM2bMsLKymjx58rhx48aOHTtu3Lhx48YJCgrCCXJycrq6unJyclJSUuLi4mJiYmJiYhISEjIyMkJCQkJCQvz8/BISEhISEhQKRVpaGt4lJCREZEr9h/9bMEh35A8fPsAPSiaTiedxR0fHqlWr+spRUVHB4qHGyZ4sFgu8Ub1mOvf09JSUlFRWVsKzul9NDTgOIWRtbe3n5xcYGLh+/XpPT08PDw8fHx9PT88lS5YsWbJk8eLFixcvXrp0qaOjo62trZOT0/z582fPnm1jYzN9+vQ5c+ZMmzbtt99+s7a2hqfWxIkTwY2AEDI1NTUzMzMyMjI0NFRWVlZTU9PQ0FBSUpKXl1dUVJSXl6dQKFJSUpKSksS3EBQUFBQUFBYWFhISGjVqlICAgICAgKCg4KhRo/4/Wi//4ReDj4+PnwsC/xPwWwsKCsIxLAN4cdSoUcLCwrA2hISEwGaE1SIiIiIqKirCBVFRUVFRUTExMfgXDsTFxUVFRYHZxcXFJSUl4VhKSgrWoZSUFFSsCgoKwp/S3wF/kkgkEokkzQV4hUwmEwdkMllGRgb+BVAoFElJSYSQsLAwpT8oKSnJyMjIfgeVSlVUVKRSqcrKyrq6unp6evr6+np6ehYWFkZGRqamphMmTBg/frylpSVMXR81atRvv/0GmuOMGTOmTJliZWVlaWlpaWk5adIkW1tbOzs7W1tbBwcHJyenefPmOTk5LVmyZNGiRUuWLHFzc3N1dV23bp2np6enp+eGDRv8/f2dnZ1FRETQwM5AGo0Gehs/Pz9CyN7enmCkixcvzp8/38vLC7jV2dl56dKlISEhxcXFvDMeTvYE1wNcpbq6OlHOUVJSwr1eS0pKuN8FaiMRgR3J4OPjExAQgG0GuwUhxM/PD3tDWFgYDmC3iIuLi4uLS0hIiImJwbqHpUwsdDKZzL1kYaXKy8srKCgoKCjIy8vLyckpKiqqqKgAxSspKSkrK6uoqMC/6urqGhoaGhoaampqcKypqampqamlpaWpqamtra2lpaWtra2npwcrHuwaCQkJfX19Y2NjfX19ExMTAwMDIyOj0aNHjx492sjIyMTExMTEZMyYMcbGxmPGjBkzZszYsWNNTU3hxbFjx5qZmZmZmZmbm5uampqampqbm0MinrS09NixY83NzSdOnDhlypSpU6dOnDhxwoQJU6dOtbGxmT17toODg4ODw6xZs5ydnZcsWWJpaQl3T1FRcdq0ac7OzsuXL/f09HRzc3Nzc1u2bJmBgQGcMHr0aHd39zVr1ri7u/v6+gYEBGzcuNHHx0dLSwshJCAg4O7uHhYWFhYWBtoxWJpBQUHh4eGhoaHh4eGRkZGRkZE7duzYunVrWFjY6NGjEULLly/ft28f6NcHDhyIjo4+fPhwdHR0TEzM8ePHT506dfToUVDML126dPbs2ePHj587d+769euXLl36448/rl69eu3atbt37969e/fmzZtXr14Fbfr333+/d+/eo0ePnj179vjx49jY2EePHt27d+/ly5cvX75MSEiI+45nz569ffv2xYsXYGGkpqZ+/vw5NTU1IyMjOzs7JycnKysrJyfn3Llz4uLiK1as+PDhQ35+flFRUUFBwbdv3z5//pydnV1ZWVlaWlpaWlpWVlZQUFBcXFxeXl5ZWUmj0SorKysrK+vq6hoaGsBmAo8EnU7v6Oi4d++ehIREUFBQY2Mjg8EA8wvAYDCYTGZbW1tHRwccM5nMrq4u+Ldf1QdeZ7PZCQkJ0tLSwcHBA1HE8HxcBQUFEDUaqFMfZGiMHTv2999/h3V+//79XufAgsFisBPAxp7QqUxaWvr06dNAox4eHvBf8GSwt7e3s7Nzc3Pr9wsQ7Dl27FhHR0dnZ2dnZ+fZs2eDxwSeUXPnzgUTDw4WLly4aNGihQsXuri4uLi4LFiwYNGiRS4uLgsXLgSbcdmyZR4eHra2tgghFRUVDw+P1atXr169eu3atbDHAgIC/P39N27cGBgY6Ovru3bt2qCgINiB/v7+mzdvjoiIiIyM3LJlS2Rk5O+//75r1669e/fu27dvz549ISEhAgICVCo1IiLi2LFj4FQ6evTo8ePHjx07dvLkydOnT588efLMmTOnT58+e/bspUuXrl27duPGjStXrly+fBn+vHXr1p07d27dunX79m3Yio8ePXry5ElsbOy///77zz//PH36FLxgjx8/fv78eXx8fHx8/KtXr16/fp2UlJSWlpacnAzOspSUlOTk5NTU1PT09LS0tI8fP6anp2dkZOTk5GRmZubk5Jw6dQohtGTJkq9fv1ZUVBQUFNTU1Hz79q2srKyiogJcDbW1tXV1dXV1dVVVVfX19TQaDfZeXV0dHLe0tLS2tra1tTU3Nzc1NTU2NkIi1JIlSyorKzs6OlgsFjhM2tvb29ra2tvbmUwmi8ViMBgMBgMcJhwOp6CgQFhYGCHk5eXV3t4OvmMiasRisYgOdUePHoVaDAgcwbO2u7t7xYoVCCERERGocRpKXA6cOb6+vgoKCkRa+xDd3D88be3atQNVavISm0pOTpaVlcVe+5iYmCgtLd1v+uQwQPwuUKk5jHzPflmVCFoWFxcDe/ZbQpKTkwNLBbg1ICAAISQrK9va2sp9GnRRwJtOjoc9a2trdXR0EELe3t4cDufRo0cSEhKIa3p9Q0NDc3Nzc3NzS0tLv/c0IyMDbsHt27dhf4KfkU6nwzGTyezo6IA/wd8PYQGIFYAHk8PhdHZ2gnOTkJyeno6+p87C64NEmQf6gn03J41Gk5OTMzMzo9PpsLcHuT94C0UGwkCp4/CtIeYeFBSEsVKTzWa/evWKn59/6NnygObmZugWbmFh0dLSQlwSbJiuri4iW/6PP/4gEpKAXjkcTkVFBYRQx48fz2AwwEveNw+h79WyWKx169YpKCiA22voqtDga4bNZq9evVpaWnp42fK9ksC48e7dOxkZmd27dxPefCxrKTk5mUQi7dmzh3dRALiq1NRUaWlp7L0UiP6e/dL92LFjEUJ2dnYQP6TRaGAPLV++nPu0s2fP7ty5s6mpCeOF4WHPlStXguJJbCEoIyGRSENsQQQ9jPn5+bFXCn/+/JmgdV4WX68lXltbS6VSTU1N29raIAwFWxHCvgAik4lbbyIkDHQx3GRBbM5eRhPxWCbS6ECx6iuWOAFGB0NyZa8EoMGzCPtmIHG/8urVK2Fh4dWrVw9eqcmdjAlvj4yMRAhJSko+evSI+/vCcXR0NLDn8ePHQfeEf0HCrVu3wDcN+d79kmDf7wI/hL+/v5KSEvaSyvXr18vIyGDPln///r2srOyuXbvwVoilp6eTyWTsCRipqalSUlIYq4HhRywvLwdC7FuAd+3aNTExMUNDQ+4f9PHjx9LS0pqams+ePcN1Jf0CA3s+e/bM1NRUUlKS+1pLSkpsbW2HfishavQr8j0zMzMRQr6+vvAnL+xJbG8Oh1NbW6uoqGhqatrR0QF7m5DMnZ/I/aGgIg1yAcQOIc4nSKdfTaqXfOK4X+0S+k8HBgbibamXmJgoJCS0Zs2awfMue+lWPT091dXVwI/29vaQaQ/fCLquwPR59L3WCCwMOKG5uXn27Nnwv8T89CE+F7u6utavX6+qqgq1RrjQ3d29du1aCoWCvcfS27dvSSQS9skcycnJUlJSGLsjw81PS0uTlJTEWD7f870bJLBnX2W5rq6utLS0pqam1+tlZWVlZWV4Nc2+wFPn/lM2b78ADZGPj69vkQCP+PTpE6F7Dk5ePwS3plZTUyMnJ2dubg5aZ3d3d11d3e7duzMzMwn/HZvNjo+Ph0ptkMBtfgIqKysPHjx47tw54pfu6el59+5dREQEiIJX6urqtm/fvnv37ra2tm/fvq1atYoIynV3d2dmZoaFhU2aNMnHx+fNmzdgzPb6pjCAaNOmTViawBNITEwcNWrUqlWrwG4aIuAOQMsPQUHBqKgoouAVnkNnzpwBfoSZmsR3aWtr27RpE/yXm5sbIXCIpZZMJnPNmjWKiop4l1lPTw+wJ3aV9t27d2Qy+cCBA1gMdgJv376VkpLavXs3XrEZGRlkMjk8PByjTA6HU11dDTEf7PN1eMRI6VAHU9d/heUOfk/osTTEPTYUVFVVUanUMWPGwMSInp6e8vJyhJCwsHBycjKHw+np6SktLYXcpl6ERbBnd3f3pUuXgAvu378PFjqHw4mLixMQEDA3NwcnN5vNhkqEGTNm1NbWgg0Os607OjqIAAvkAyOEHB0dy8rKiI0BXxlqYfEOv+RwOCkpKVJSUh4eHr2c9P2il3KdlZVFZOTs378f+BfuFaF7Xr16ldD6W1pagoOD0XcMIwIAlZpKSkp4Tezu7m7IiUlMTMQolsPhJCUlUSiU7du3D+6y/1kkJydLS0tj9HsCMjMzyWQyETXiEcRqGaTH0v8uRgp7Qsydn58fe5cQ0Go9PT05+JzuHA6nvr5eRUXFxMSkubmZYL2jR48ihFauXNnV1dXS0gIVHQMFTNlsdmNjIzHAJygoiGjX1NbWBjSxbdu2tra20tJSKpVqYGCQlpZGeDChHi4tLU1bW3vKlCnv379vaWkpKyuDIpxNmzZxczTnezsPf39/vE2h3rx5IywsvHz58iE20+IGm82+cOECkTy7adOm3NxcuJPQLRshdOnSJTabzWAwcnJyIOEfISQhIfHo0SPOz9did3d3+/n5UanUlJQUjJ7E7u7uVatWkclkjKsXvhrkAEVFRREecCzCExMToc6dg4+ROd/r3LFP/x7E7/m/i5HCnhBz5+PjA8UNIz5+/IgQWrNmDV6xdXV1VCp17NixdDqdYE8Gg2FlZSUkJPTXX3+dPn1aQEDAxcVlEJP248ePKioqOjo60HAE3DcQHvny5Yu5ubmCgsK9e/egbcz169fhXdAlHqrWoGvnhg0b2traQEFLTU3V19c/cOAA4S6AA+gSwvtco16ASk1vb+/huVMZDMbFixeJmRxWVla7d+9+9uxZaGgovLJly5Z79+5FRkZC1y6EkLKy8p9//gnPgJ9lk46ODi8vL1lZWbyt5Nhstre396/wexKWO16xb968ERcXx+5OTUtLk5KSwh5zJyZzYJ+YxCNGCnsmJCQAe2ZmZuKVDFrt2rVrcQmEZ3VlZaW0tLSZmVl7ezt3OOjVq1cUCkVGRoZKpZqbm6enpwO39o1rd3d3g4Z1+vTp4OBgfn5+CLsR0edbt26JiIjAUzcgIIBoYgRVrdA5AsKLVCo1NDT02rVr+fn5dDo9Pz8fOg1zX/Pt27cRQps3b8ZruQN7+vr6DoM94W50dnbeuHHDwsKCMMlVVVUVFRUJrpSXlyf+y87O7tGjR0RPpp/9RCjdU1RUxBs16unpWb16NYVCwe53evPmDYlE+hVtjCUkJLCPS8rIyCCRSBg78gAIy33z5s14JfOIkcWe/Pz8BQUFeCVDf08idZ93OwUk1NfXy8nJQY+lHq58w46ODuiuJiYmduPGDaKgnsPVtQjQ2to6Z84cdXX1jIyM169fi4uLOzg4wDnAxZ2dnd7e3sAaxcXFhNMW+hyfPXuWw+HU1taeOHHC0NAQygeNjIy8vb0fPnzYd14I2PubNm3Ca7lDd2Rvb+9h9Ngn0gO6uro+fPiwZ8+eBQsWyMrKoj4QFRWdMmXKiRMnCgoKevlzfwqdnZ1r166Vk5PDHjXy8fEhkUh4SZnz3XLHPusiLS2NTCZjFwtRo8DAQLxia2trIWqEXTKPGCns+fr1a/RrMpaAPZcuXQp/Do89+2YO1NbWKigojBkzBmLlxE7u6OjYunUr7PkTJ04Q+Z7cnw62MzgrTE1NU1JSEhISIHu8sLCQyBKl0WgwnRh9nybYw9VrDsyunp6etra2L1++xMbGbt26FSogKRTKoUOHeqUQQcx948aNeC33xMREMTGxVatWDXsiMXHMYrGqq6tTUlJOnTpFtBGxt7c/c+ZMQkIC0Zmxp0+DvqGDzWYHBATIyclhp7mNGzdSKBTs+Z5JSUlkMhl7eCc9PV1WVjY0NBTvkCvwe2K33KuqqkD3xE73PGKksCfEdhBCSUlJeCVDxlKvwoOfRV/OpdFoqqqqRMydsNyTk5OJ2LeYmBiksPR6O2x+ogEwNwgPF4vFgsCRtrY2QkhOTg5aUnK+R8+hz3Z+fv7Xr1/BVdre3t7U1PTkyROE0OjRo3vNFgfO5Y4mYUFycrKYmJibmxsvXbuJpDdgRu7uyJAt3+v8oTwC+zJsT09Pr1ojjAgICCCTyb8oYwl7E/j3799DahHexQAxd+x5ReXl5eD3/I89+wdRrIqdPSFbnrDccaGhoUFRUXHMmDFE1Kinp4dOp48bN46fnx/aKSKEjIyMysvL+76dRqNJSEjw8/MvXrw4MjJy586dUK+lp6fX1NTEZrMvXrwoLCysoaFRVlZ2+vRphNC8efMgAAUezPPnz7NYLD8/PwqF8vDhQ6JWtaioSEdHZ/To0bm5ufBZsEMI3ROv3zMpKUlERMTLy2vY0/F6USHo3ZC9gBA6d+4cxqBwV1dXQECApqYm0QQeCzo7O9etW/cr5hqlp6fLy8sHBQXhrTX6+PEjlUolSkhwIScnR1ZW1s/PD69YGo1maGj4n+U+IED35Ofn76Ux8Y7s7Gy87Nnzvb25srIyxNwJ5SgoKAghtG7dus7OzpaWFhcXF/Q/O10Tvkjopc8996m9vR2cO48ePcrOzjYzM0MI/f3336CLQXVNZGQkk8kED+ahQ4c4HE5CQoKmpiaVSt22bRs09VmwYAFCKCAggDClufM9AwICevWW5xFQ2rxixYqhTCTuF714AZ5DJ06cAPY8fPgw3F4s19zT0xMeHq6srPyz/WcHR3d3d3BwMIVCSUhIwJt/Duzp7++PV2xaWhqFQtm4cSNesVlZWRQKBfsExtraWpirgT0Pn0eMFPYsKiqC3YI9Ywm0WicnJ1wCYcE1NTVpaWmZmJgQ2fJAT9ra2p8+fQJTtKKiAgb+EQYd4QPdsWMH+p6zSTjyIP1o3bp1MPMnKCiIKECC1tlqampv3rxJSEgQERGB7I3u7u7Y2Fii4RtCSEVFZdOmTfn5+b0uG7r3BwYG4jLW4D4kJSVJSUm5ubkNI9+z360LPpCTJ0/C14mJiSGK3DFcNIcTHBysrKyM3cQOCwujUCjYLae0tDQqlRoWFoaX5r58+QKkjFEmh8PJz8+nUqnr16/nYE0jbWxshDkuIHnkYKSwZ0FBAUKIj48Pe7UGSF6wYAEWaQTTNTY2amtrc9ca3bx509nZGRoLEvHxx48fu7q69tV04uLioqKiQD0kKLWpqWnLli1///33xYsXY2JiSktLifNB5Tx48GBubm5xcfHx48eBH+F6cnNzz5w5s3fv3piYmIyMjH6JJi4uDiHk6+uLq1Kz53tbHSUlpWXLlv1UpSZgkO4e586dIxzBoI3iajIUFRUlKyv75s0bXoT0K5ZEImEX+/nzZ0VFxZCQEOxdQuTk5KB8GSPy8vIIyx0je9JoNGNjY4RQaGgoLplYMFLYs7i4GHbL8+fPf4VkOzu56Kn9AAAgAElEQVQ7LNKI3dvS0mJgYDB69OiGhgYi1tHW1tar0REMDulXDneTJO4C/IHafwx0PUM8GVKL1q1bN0jG0jC26MePH+Xl5YfHnv1eALAkoXseOnSIu0ixL3v+1C5ls9mhoaHy8vLYlcTw8PBfoXumpKRQKJRt27bh1T0TExNJJBL29MnMzEwSiYTdvq6vr4du2dij+TxipLAnaIjo+4RujMjPz0cIzZ8/H6/YpqYmbW1tIyMjGo3WK4dmiPoRQQe9XuFgfW5zvnMipLUPXuc+jM8FD5qXlxeWSdk930vaiQmDR44cGby3y09dM8TZZGVlfwV7ysrKYl+9wJ4RERG/QizMc8YC+BVyc3NlZWUxVqYA6urqoInnf7pn//j27RtY7tgT8fLy8hBCq1atwiuWTqdramqamJiAv48XvuvV4I5HaX1BOCjR9zp3vFEjGRmZ4fk9+wXcCsJyh3oYLHYr9EgNCgqSlpZOSEjgXSA3fv/9dxkZGex+J+jvGRYWhjdTIiMjQ1ZWFoqCMC6GrKwsMpmMneOI5uu7d+/GK5lHjBT2BA0RIYTdcwQxd+y6J51O19HRMTY2hsDO4EsQb1bd8AD1CP7+/riy5cF/+vbt21GjRrm4uDQ2NmIRC0VWRHdkjOzJ+d7fk0wmY1cSN27cSCKRsMc8k5OTKRRKSEgI3hqHlJQUGRkZX19fvCsTKjWxB6Nqa2t1dXX/ixoNCMjKRAi9evXqV0iGHktYQESN1NTUoMcShwf2xBsNGARE1GjYiZn9ArLlly1bNpQOdUMBBNwgW3YolvtAABbupbJBhzoSiQSWO0a1a/PmzRISEtif/SkpKVQqFXsG5cePH+Xk5Dw8PPCqtDk5OVQqFeNeI7IDIWMJe5iLR4wU9vz69SvsFowmFdx60D15rDXqi/r6eiUlJWNjY9C58NravwJv3rxBCPn5+eFlT9iHCxcuxMWeoGQR/T2PHDnSy63xQ3R3d7e1tTEYjLq6uqamJu73dnZ2BgYGEuzZlzt6ftT/fyCEhIQICwu/fv36Z984OAjLHe8Cg+YjAQEBeMV+/vxZRkYGI9f3fO/IA7VGq1evxiUZC0YKexJTi1+8eIFLJjd74spYIsRCf09DQ8Pa2lpeKq85WLuODiSf8z1qBNnyGIUnJCQICAi4ublhiblzvt8Nbst9iNYlcQ+ZTGZpaWm/qQVQa0ShUMBB2fdX6+7uZjKZQ/k1e/1kfn5+4uLi2NNIX79+TSaTQ0JC8K4QaD6CPWqUmZlJoVCw29dEb3mMWi0WjBT2TEtLg6gRdocUNONYuXIl/Mn7KgQJNTU1VCrVxMSkoaGB6O85ELh7qve9gB92vOcWPgyqhfOhUnPDhg145xolJyeLi4tjjBqB9kdUah49epQY7vTDNxKn9R2xCeju7t68ebOCgsJARUFDfwpy/yiQCCUmJoZd90xLS5OXl/f19e2bocGjWCqVum7dumFk0fZ7MryYnZ0tKyu7bt06LBdJoLa2FjKWsHfp5REjhT2/fPmC3XIHQK3RwoUL4c/hrT/uTQWWXWtrq56enpGRUV1dHed/ejYHyUnsRZRDXLvDSIfq++lQazS8Rpz9Aujjy5cvKioqS5cuHWQCF5Gw2VeLZPcZigUjoaC0H9gTbjghpN+v32+2bN/P6urqCg0NpVAocXFxWJiIMPMjIiLExcVfvnz5w8vo98KIg14sCZM5hpeYOcgX/PTpk5ycXHBwMF63e2FhoZycHPb+ni0tLVC4THRKGyEYKexZVlYGu+Xvv//GJRP2KkTzwXIfyKUFL3Lv0l5gcw3LBdZoaWmBZhyNjY2Es2yQtw/lggfP9/whww70KfDG+Pj4H7LnMAglIyNDQUFh6dKlGDOWOBzOxYsXYT0cPnwYeiEP8e0/PHP37t3y8vLx8fE8Xmcv7N27V1JSkvA79ZpQP9AVEguPxWIxmUwmk8lgMMAbC2/88OGDurr64sWLm5ubOzo64LSOjo7W1lY6nd7W1tbe3t7a2tra2tre3g4S6HR6a2trU1NTY2Nj03fU1NTU1dWVlZXV1tY2NDTExsbKy8vPmDHjy5cvBQUF2dnZhYWFRUVF3759y8vLy8vL+/r1a2pqakpKyocPHz5//vz58+f09PTMzMyMjIyUlJTU1NSPHz+mp6e/f/8+PT09OTn5/fv3qampV65ckZGR0dXVff78eUJCwqtXrx49enT37t27d+/++++/9+7d+/vvv+/evfvgwYP79+/fu3fv9u3b9+7du3Xr1o0bNy5dunTx4sWLFy9euHDhzp07586dO3ny5IULFy5evBgdHS0nJ4cQcnR0xPur8YiRwp7gneTj44uLi8MruaKiQlhY2NnZGa/Y7u5uKysrImqEF0SLz16vw2aD3QUndHV1tbe3Q+MP2LEsFgs2EofDYTKZcNzd3f327VshISFQEuGcpqam9vZ22Iqw/err6+vr6ysrK2k0WlNTU2VlZXl5eV1dXV1dXWVlZVVVVUlJSUlJSWFhYUlJSVFRUUVFxdOnT9XV1ceNG5eYmFhZWVlQUJCVlZWamvrp06fPnz/DHsvKyoLtl5GRkZaW9vLlyzdv3iQnJ79+/To+Pv7Ro0cPHjx4+PDh8+fPX79+/ezZs7i4OF9fX2BPGxuby5cv37lz5/r163/88cfp06cvXbp05MiR48ePnzlz5siRI3v27Dl8+PD+/ft37Nixb9++vXv3BgcHHzp0aPfu3du2bYuKitq8eXNkZOSWLVsOHToUFRUFFdMODg5bt24NDAwMCwsLDQ0NCgrasGGDj4+Pn5/fqlWr1qxZ4+vr6+np6eHh4e3t7evr6+HhsXz58iVLlri7uy9btmz27Nlz5syZP3/+rFmzXFxcnJ2doRm+np6enZ2dra3thAkTLC0traysLCwsTE1NTUxMzMzMjIyMTE1N9fT0dHR0DA0NTUxM1NXVVVVVtbS01NXVlZSU5OXlVVVVyWSygoKCioqKoqIiMfSJn59fXFxcVFRUQkJCTEyMn58f/f8PGzduxL7XeMFIYc/m5mY+Pj6EkLu7e1pa2ocPH96/f//u3bv3798nJibCwevXr1++fBkXF5eQkBAfH5+YmPj06dP79+/fv3//zp079+7du3PnzrVr1+7evXvz5s27d+/eu3fv0aNHUPOnoKDwxx9/nD179syZM5cvXz59+vSpU6eio6NPnjx57NixvXv37tq1a9euXdu3b9+xY0dUVFRQUNDGjRsDAgJCQkJCQ0O3bt26efPmtWvXbty4cdOmTZGRkStXruTj4xs1atScOXN8fX1dXV1dXV1dXFyWLFkyd+5cZ2fn+fPnwx5zcHCYPXv2jBkzpk2bNmnSJNhXRkZGlpaWFhYWY8eOtbCwMDIyMjAwMDc3t7CwMDAw0NHR0dTU1NTUVFdX19TUlJWVlZCQkJaWlpGRkZKSkpKSEhMTExISEhUVFRYWlpCQEBcXl5KSEhUVhRGV/+H/FvD1AT8/v4CAAD8/PxwICAjAmUJCQoKCgjBBYNSoUUJcEBEREeYC958i38F9LCoqKiIiAp8uKioqKSkpJiYGpCwqKkoikURFRaWlpclksqSkJIVCkZOTU1JSolKpCgoKCgoKampqBgYGenp6sEQtLS3t7OwmTpxoa2urp6cHVzt16tQpU6bY2trOmjVr6tSpEydOnDx5MjxpbG1t7e3t58+f7+LiMn/+fFdXVzc3NxcXl2XLlq1du9bT03PFihWrV68OCAhYtmxZcHBwRESEl5eXpKQk4opejBCMFPasqqoC9vx/AMROIJa+gIAAsZphucNKhdUM3Af8KCUlRcghkUgyMjKwfGVlZeGASqXKycnJy8srKCgoKysrKyurqKjAv0pKSqqqqmpqaioqKnCgoaGhoaGhqamppaWlpKSEEBITE9PS0tLV1dXX19fV1dXV1dXR0dHV1dXT04M/9fX1dXR09PX1DQwMDAwMiAMDAwNDQ0MjIyPD7xg7dqyZmZmWlhYfH5+4uLiJicnEiROtrKxMTU3Hjx9vaWk5ZcqUGTNm2NjY2NnZzZo1y97efvr06XZ2drNnz3Z0dJw2bZq9vf3s2bPhSePk5AQHPj4+np6eUJmHENLW1l6zZo2Pj4+rq+uqVas8PT3Xrl27evVqX19fb2/vtWvX+vj4rFy5cs2aNZ6enr6+vv7+/kFBQfCECwwMDAkJCQsLCw4ODgkJ2bt3b1RU1Pjx4xFCCxYs2LJly4EDB7Zv337gwIH9+/cfPnw4JiZm165d+/fvP3To0KFDhw4ePHjw4MGTJ08ePXoUHreXLl26cOHCpUuXLl++fPPmzTt37ty5c+fWrVsPHjywt7dHCAUEBDx79iw2Nvb58+dPnz598uTJ06dPY2NjExIS4Kn/9u3bFy9ePHv27PXr1wkJCZ8+ffrw4UNGRgYcvHnz5tOnT3l5eTk5Obm5udnZ2devX5eVlZ07d25WVlZ+fn5OTk5RUVFlZWVFRUVZWVlRUVFxcXFNTU1lZWVlZWV1dTVYD1VVVbW1tRUVFY2NjW1tbWA61NTU1NfXNzU1tba2JicnKykpLVq0iEajtbe3t7e30+l0Op3e0tIC9gp4S4i2A+BGYH1H3zgenJydna2kpDRv3rxBdvowvENNTU3QJQR7zQuPGCnsWVFRAbtFV1fX1tbWzs7O3t7e3t7ewcEBNp6Dg8OcOXNmz54NCt2cOXMcHR1hyzk6Ojo6Oi5ZssTZ2XnJkiWLFy9eunTp8uXLV6xY4e7uPn36dIQQmUxesWIF7MP169f7+fmBaunn57d+/frAwMD169d7eXnB60FBQYGBgUFBQaGhoZGRkdu2bduyZcvOnTv37NmzZ8+eAwcO7Nu3LyIiQlhYmEKhREZGHj9+/MiRI8eOHTt8+PDRo0fPnz9/4cKF8+fPX758+eTJkydPnrx69erdu3fv3Llz+/bta9eugbvn77///uuvv27fvv3PP/88efLk4cOHL1++jI2NhWkczs7OL168eP36dWJiYmpq6ps3b16/fg36eEpKSlpaWnp6OmwwaC+fl5f3+fPn7OxscFrBKwUFBUVFRWBr//XXXyA2Ozu7trYWDPPq6uqKioqqqqq6ujo4aGhoAGu9sbGxubm5sbGxsbGxpaWlqamppaWlo6MD3Grgcevq6kpKSpKTk5szZ05paSmDweju7qbT6eCAa21t7ezs7OzsJIYsERuP871uEl7v5Y9ms9mnTp2C9bBz505w1A4URucMeUPCZ/3+++/S0tIvXrzAGzAJDQ0VERHhMd+u7xfJyspSVVX19/f/qav9od88KytLUVHRy8uLuwNLXwz9Q0FCTk6OvLz8okWLOP3FA4d+qb1QV1cHMff/dM/+UVNTA7vl0qVLDQ0Nra2tDAYDPHqQ+cxkMru6uphMZmdnJzQuggcjHAzSQBf6j9ja2uK94NbWVgMDA2NjY1zREkB3d7eXlxca1hACNps9yHChpKQkPj6+NWvW8JgtT0S94d8PHz5IS0vPnz+/vr5+eMkAvUJtwKTEPPd9+/YREzT7jYz1jbbDaX1DcLBgwsLCpKWlX7161e/25hbS6ysPnuG0efNmYM9hRPy4pfU688uXL8rKyl5eXj9VFPTDDFnojOXm5sY9r3Do8vui53uXEHl5eRcXF86gT7ufksnhcGg02pgxYxBC7u7uvAjEjpHCnkS2PPZKzfLycj4+PqI78uBx7YEAy5rQlTgcTkNDg7a2NtS5s7nmvvWLgRKY+r7CYDDc3d2Hx57wLBno06HWaPDB60O5JwSFEexJJpPnzp1bX1//sxdMfCj3jwI3mWDPQ4cOEbVGw8jW6vtB27ZtI5PJoCQOlKX7Qzbpu4pCQkJGjRoFM6UxAthzzZo12AvS5eXlPTw8CLWj7xIdxifm5+fLy8tj78jT0NAAlvt/2fL9o/h7f0/srcMqKioEBAQg12HY26/vu9rb20ePHm1gYFBVVTW8pdYvWCyWm5sbGlYrw8HtL6g18vT0JPRTLNf84cMHCoXCzZ48ioXfiMj3jI6OHqhH6jDAZrMjIiLIZDKktQ+bi3u9kc1mb9iwQUBA4NGjRxiukgtv374lk8nYO9RBf89BmiH97E6Bk9PS0qSlpbFPH6qoqIBKTeyZpDxipLAn4ff8559/8EqG3ndEphgvygs36HQ6xFKgUhOXWCaTCdOQsDfjevz4MYQ1CMsdyzVD85GlS5cSde48iu3p6enq6tq7dy+sB6LWCAs6OjrWrl1LJpOxtPMgnhPgb+Hj48OeRhoXF0cikTZs2IBXbFJSkoyMjJeXF/aZmlQqdfCo0TBQV1enr6+PEFq8eDFeyTxipLDnhw8f0K+ZzJGcnIwQcnNzwyu2sbFRWVl5zJgx4Pf8Kct9ELS2ttrZ2YG/D8NVcuHly5cIodWrV2NpY0wAPGjz5s3DmPfa09NDRI22b9+Otw/Q1q1bhYWFnzx5wvvDg/tHj4iIQAg9efKER5m98OnTJyUlpbVr1+LtUPfx40cFBQU3Nze87Jmbm0ulUrHvNaK/J3bJPGKksGdKSgrsFpgLhBFQqTl9+nS8Ygnds6qqioOvv2dnZ6erqytCaPPmzbj0WcC7d+9g/eFlz4yMDDk5OWdn54aGBoxiie7I27dvx9vWZOvWrRISEs+ePcN7e0NDQ39Fj6XU1FR5eXlvb2+8GQIZGRlUKhVjjyUi5k6lUrHHdurr60H3BI8q3h+OF4wU9szNzYXdcu3aNbySoQbU3t4er1g6na6rqwtzjTj4ftGurq5ly5YhhHbs2PGz7x3oGuB16I68atUqHtmzl5siLS2NTCYvWLAAb80V0aEOKjUxSg4PDyeRSNiDk2FhYSIiItgt9/T0dEVFRW9vb7yUkZmZKS8v7+Pjg/fefvv2TUFBAeP8WkB9fb22tjb6BX0mecRIYU+it3xsbCxeyRCPwv6LNjc3a2homJiYQAdJXIu7u7sb2HMYfs+B1BN4PTExETLmeGwl1+vLJicnS0tLL1iwYJAuIT8rn8PhEPPcDx48iHGH9/T0hIaGkkgk7EpieHi4oKAg9jpjMLGx654wkdjT0xMvKUPMHTKWMIJGo0G+53/Z8v2D0D2xRy0hauTg4IBLICy4trY2IyOj0aNHw1Q43jNp4JjJZM6bN294GUuDA9jT3d0dVxtjQFJSkoSEhJOTE41GwyiWmAq3f/9+jC4/Fou1adMmERGR58+f4yWO8PBwfn5+7BNhMzIylJSU1qxZg5c9MzMzFRQU3N3d8bpTgT2hExLG29vY2AgZS//1WOofhYWFsFsePnyIVzKw5+zZs3EJhGXR3t5uaGgIMXcOb2uFmz0ZDAbE3Ldu3YrlagkkJCQghFasWIGdPaWkpJycnIad79kviKjRnj178FqXmzdvlpSUxG65b9u2TUhICHtv78zMTGVlZR8fH7zsmZubq6ysvHz5cryPkJKSEiUlJewaYktLi4WFxX+W+4Ag8j2x654wUxN7jyXo72lsbDyUuUZDR2dn5+LFi38Fe4Lu6ePjgzcIAzH3uXPn4o0aER3qdu3ahZc9t2/fLikpid3E3r17N3d/T1zIy8tTU1MLDAzES3N5eXnKysqurq54Sbm4uFhJScnOzo6DVfdsbm6G7gRz5szBJRMLRgp7VldXw265d+8eXsklJSX8/PzYo0adnZ2WlpajR4/G5e/jcDg9PT0sFsvDw+NXWO7v37/n5+f39PTE21v+8+fPioqK8+fPx1uxSrDnzp07cbEnMAWwJ8aiIKCJ/fv3i4qKYrfcMzMzVVRUPDw88LJncXGxpqamjY3NUO7t0OdKlZaWqqioTJw4kecL/B+g0WjQV9Da2hqvZB4x4tgTu+VeUVHBz88/depUvGKZTKa5ubmenl5lZSUH35OWzWavW7cOIRQSEoJXL4CcsBUrVuAaQATIysrS0tJydHTEZbnDt7527RrBnniV5f3790tKSmJPzNy5cydC6PHjx3jF5ubmqqmpeXl54WXPwsJCNTU1jMO+ABUVFWpqasQcB1wgdM//okb9g8lkwm65desWXsmVlZWjRo2aMGEC/IlrFba3t1tYWOjo6JSVlWEU29PT4+fnhxAKDw/HxZ5wbampqYKCgm5ubhiVZQ6Hk5WVpaGhMWfOHLyW+82bN38Rex46dIhMJmNXErdu3YoQevr0KV6xOTk56urqK1euxMueubm5Kioqc+fOxfuErqysVFZWxl5r1NzcbGlpiRACn8DIwUhhz7a2Ntgtd+7cwSu5oqJCSEiI0PlxrUIGgzFu3Dg9Pb2hZMv/FKCt+pYtWzDqsxwOJyUlZdSoUa6uruCoxYX8/HwDA4NZs2bhjRrduHED1sOOHTvw+j2jo6MlJCSwmzgHDhzg5+d/8OABXrFFRUXa2tqurq54i4Ly8vJUVVUdHR3x3tuamhotLS3slSltbW3W1tYIoVmzZuGVzCNGCnu2t7fDbrlw4QJeydXV1aKiohMnTsSbnMFkMidMmKClpVVaWvrDk3+qTyLonps2bcKrF6Snp5NIJFdXV7yWe2FhoaGhob29PUzH4x3wzCAs9x07duD94Q4dOiQtLY1dSYyOjhYWFsYe8ywoKNDS0sLOngUFBWpqaosWLcJ7b8vKytTU1LCzJ41Gg5j73Llz8UrmESOFPVtbW2G3nDp1Cq/kyspKERER7P09WSzWpEmTtLW1h8KeQ9ci2Wy2j4/Pr/B7pqenS0tLe3h44GXPnJwcLS0tBweHmpoajGKvXr36i2Lu+/btk5SUxF6UcfDgQVFRUewd6gjdE+9iqKio0NbWXrhwIV72rKysVFVVtbGxwSiTw+E0NDSA5Y59F/OIkcKetbW1sFv++usvvJJrampERUWx6/xdXV2TJ0/W0dGBqBEuEFGjiIgIvK6ujIwMEom0dOlSLOxJ9L7Nz883MTGxsbGpqKjgXSznu57+4MEDQUFBhFBUVBRMuMOFo0ePkslk7OwZExMjLi7+77//Dv0tXV1dP9Qoi4uLdXR0XF1d8T5CgD2dnJzwkjJY7tj3Wmtrq5WVFUJoypQpeCXziJHCnnQ6Hdjz7NmzeCU3NjZKS0ubm5vjFdvR0TFp0iRNTc3CwkKMYlksFvg9Q0ND8bInWO642JO4NogaOTg44IoawX6GOSKQ9woTQ3mXDEKio6NlZWX//fdfvLbw4cOHoXXTT13PD79XQUGBtrb2kiVLBplKMoyoWklJCTgo8ZJyfX29sbExEaHFhY6ODmg8NmbMGLySecRIYU/Ccv/jjz/wSq6pqZGQkJgxYwZesQwGw8LCQlNTs6CgAKNYwnIPDg7Ga1WlpaUJCQk5OzsPEjUaRslpfn6+kZGRvb093krNO3fuwHoIDw/Hm6B68eJFMpl88+ZNvOx57tw5QUHB27dvY5TJ4XBKS0v19fWnTJkCFWK4lkR1dfXYsWONjY0HGeUyDNBotLFjx5qYmGCUyeFw6HS6jY0NQmjy5Ml4JfOI//fZs6Gh4VfoniwWy87OTkVF5evXrxjFstnswMBAhJCvry/eTJ3c3Fx1dXUnJ6dBMpZgbuJPif327dvYsWNnzJiBy4MBStY///wDo8wjIiLwsueJEydIJNKdO3f6nZI0bBw/fnzUqFHYaz2KiorAcsd7E4qKitTV1V1cXPDaN+Xl5dra2hirogFE1Ai7R5VHjBT27OrqgonE2GtsGhsbyWQydvbs7Oy0tbXV0NDAa7mz2Wyw3Ddt2oRXOfr8+TOJRFqyZAneOvfs7GyIGvGie3LrvHBA5Hvu3r0b41gODodz9OhRJSWlweca/RTggvfs2SMiIoI9alRYWKilpeXu7t7vYvhZ9ifOLywsVFdX/2HM/WdtkdraWj09Pex+z+bmZvB7Tpo0Ca9kHjFS2LOX7gnjGbA8GOvq6qSkpLA/tTo7OydNmqSjowPREowd6iBqFBoaitej/+nTJ8hYwsueubm5RkZGDg4OvOR79mXPe/fuERlLuHTw7u5uGo22ZcsWCQmJI0eO4G2pFx0dLSQkhD2NtKSkREdHZ/Hixf0uhmGzJ/g97ezsBo/IDYM99fX1cVVFEx/d0dEBljv43/DuC14wUtiTqDU6fvw4vNJrxvew0dDQICkpidFjAlfFYDCmT5+upaVVUlLCGTJ7/nA5dnd3b9q0CSEUGBiIXfeUkZFZuHAh3mz5vLy8MWPG2NnZDSVjaSh3Cc55+PAhrIdt27Z1dHRgsbK/fPmydOlSBQUFhJC8vPySJUtAX+Z9EBOHwzl27JikpOTg+Z4wWvmnhFdUVOjp6S1dupQYHczLpRIoKChQV1d3cHDAm89QU1MDTvAhnj/Er8NgMBwdHRFCVlZWPFwdfowU9mSxWGC5Y8/3bGpqkpGRwRIHJMZtMxgMBoNha2urqalZXFxMcOJAfEfs/MHZs6enp7u7e+PGjZDv+bNbZXB+SU9Pl5CQWLZsWS/ds99LGjrNFRYWmpmZzZw5s7q6eojX2dNnvHDP90HExLe4ffs2EXNva2vr+T4iuJeK2veLDDStvq2tbfbs2eh/wtfXd/AvPvRH+I0bN6hUKva5Mg0NDePHj3d2dsb7KG1qajIzM5s1axZe3zoUpI8bN26gmzaUjyOWMXxlNpvd2tpqa2uLEDIzM8N4tbxjpLAnjUaDBX3x4kW8kltaWhQUFDA+tWB6O5vNXrhwoYaGRlFRES7JgJiYGISQn58fXo9+WVmZmZnZvHnz8DZDqqurmzt3rpWV1dDZcyh49uyZiIgIeDC4iWOge8JkMvtlOuJFGMjcF3l5eWw2m06n0+n0trY2BoPR3t7e1NTEYDDodHpDQ0NjY2NNTU1VVVVFRUVVVVV9fX1FRUVlZWVtbW1VVVVJSUlpaWlRUdHvv/8Ouf2VlZWlpaWZmZnZ2dnwb2pqalZWVlZWVnJycmpqakZGRnx8fHx8/KtXr168eJGQkPDixQs4SEpKevXq1T///BMbG5YveacAACAASURBVPvkyZPHjx+fOHFCQUGBSqVeuXLlr7/+unz58p9//vnnn39eu3bt9OnTN2/evHLlypkzZ06fPn327NmDBw/GxMQcP378xIkTx48fP3369NGjR/fv33/48OGYmJidO3dGRUVt3749KirK29ubRCIhhNasWRMYGOjn5+fp6enp6bl+/fr169evXLnS29vbzc3N3d19xYoVcODh4bFo0aKFCxcuW7bM1dXV2dnZ1tbW3t5+5syZ9vb2jo6OLi4ukydPhljf1KlTra2tf/vtN0tLS2NjY0NDQwjx6+npjRkzxtzcfPTo0WZmZoaGhjo6Onp6erq6uurq6ioqKqqqqhQKRVFRUVlZWUZGRlZWVlFRUUpKCn4s7BX0PGKksCeLxYKfMyQkBP5kMplMJpPFYnV1dbFYLFjWnZ2d7e3tHR0ddDqdyWS2t7e3tbW1tra2tLS0t7ezWCw6nd7e3g6vNzc30+n0qqoqDQ0NKEhvbGxsaGior6+n0WiNjY1NTU3Nzc3Nzc319fV1dXV1dXWVlZXExqioqCgvLy8rK6uqqiorK6upqamsrCwvLy8oKCgsLCwuLp41a5acnNz9+/cLCwtzcnK+fPny6dOnT58+ffz4MS0t7ePHj+np6dnZ2Z8+fYI/MzIyMjIy0tLSkpOTk5OT37x58+rVq9evX799+zYxMTEhISE1NTU+Ph4mc1hbW8Muun///r17927evHn16tVr167duXPn6dOnf//9N/x59erVy5cvX7p06fz585cvXz5//vyZM2dOnDhx6NCh6OjoAwcO7NmzZ+/evceOHVu/fj1CSEVFZePGjbt27QoNDfX39z9w4MCOHTvCw8MjIyMDAgJ8fHw2bNjg6+u7evXqlStXwi7y8PBYtWqVu7u7u7v7woULXVxc5syZ4+TktGjRolmzZsHAGT4+PjMzM3t7+6lTp1paWlpZWVlYWFhZWU2ZMmXq1KmTJk2ysbGxsbExMzObOHGijY2NsbGxmpqaoaGhkZGRurq6oqKiqqoq0ISKioqhoaGMjAxBcBQKRUZGRlhYmEwmS0hIIISEhIQEBQXFxcVhr/6H/xXw8fHx8fGNGjVKRkZGRkaGQqFAgQNCSFxcnEQiiYuLCwsLk0gkVVVVKSkpcXFxGRkZeXl5aWlpCoVCIpGkpKTIZLKSkpKWlhYsAB0dHRMTExMTE3Nz8wkTJgAvW1tbCwsLo/8ylgYCEXOXl5dftWqVp6fn4sWL58+f7+zsDP/Onj3b3t7ewcFh1qxZM2bMmDNnzsyZM62tra2trS0tLeGBZmVlNXbsWENDw/Hjx1taWo4bN27cuHHQ05+fn19LS8vQ0FBfX19bW1tNTU1dXV1TU1NLS0tOTo5KpZJIJBkZGSqVKikpKSoqKigoKCQkJCkpSaFQpKWlyWSyjIwM/JewsLCAgICAgACxjMTFxfn5+f83FnBvwFUJCAjw8/MLCAgICgoKCgoKCwuLiIgQRCMsLCwqKioqKiomJkYciIuLS0hISElJSUpKSkhIwLGEhISkpKSkpKT0d8B9oFKpFApFVlZWTk4OaE5AQIBCoVCpVDk5OSUlJXl5eQUFBVVVVVVVVRUVFU1NTW1tbdAvVFVVNTQ0dHR0VFRUdHR0xowZo6+vb2xsPG7cOAsLCwsLiylTplhbW2tqasLVSkhITJs2bcaMGVZWVra2tg4ODvb29tOnT7e0tLS3t7exsbGysrKzs7O3t58zZ878+fPnzp07Z86cuXPnLl68ePHixatWrVq1atX69esh3bovFi1aFBkZuWHDhqCgoJCQkJCQkE2bNm3cuBG0sJCQkPDw8PXr1wcEBGzYsCEiIiIqKmrbtm1bt27dvXv3vn37Tp06deTIkcOHD0+bNg0htHjx4suXL1+4cCE6OvrYsWPR0dH79++PiYk5deoUPN6uXLly9erVGzduXL9+/Z9//nn06NG///578+bNGzdu3L59+/79+w8fPnzw4EF8fHxiYuKbN2/++usvNTU1KpX64sWLlJSUd+/eJSUlvXv37v3796mpqUlJSZ8+fUpNTf3y5Ut2dvbXr1/T09MzMzNfvXr15cuXz58/f/36FTSAvLy8z58/f/78OScnp6ys7PXr12pqajo6Ol+/fqXRaKAWFBYWVlZW1tTUVFRUtLa21tbWNjY20mg00C2amppqa2tB2wAdBYww8KtAjDc/Px82FPhPwBMFG5zbXQO2OXep1eBOJxaLNWXKFISQkZHRr6Whn8RIYU8GgwEEJCUlZWJiAiODjI2Nx4wZY2hoCAcmJibGxsYmJiampqZjxoyx+I7x48ePHz/ewsLC0tJy4sSJEyZMmDRpkrW19fTp0+3s7CZOnIgQEhERmT59ur29/axZsxwdHWfNmuXg4ODg4DBv3ry5c+c6OTk5OzsvWLDA1dXVxcVl3rx58+bNW7Zsmaen5+rVq729vX19ff38/Hx9ff39/eHA09NTSkpKRERk+fLlW7dujYiI2Lp16+bNm4OCgsLCwqKioqKiosLCwiIiIrZt27Zjx44DBw7s27dv//790dHRsOVOnTp17ty5I0eOnDx58vz581evXj179uyFCxeI5IwbN248fvz47t27t27dunbt2v379x88eHD37t0HDx48ePDg33//ffLkSVxc3LNnz2JjY1+9ehUbG5ucnPzq1avk5OSEhIS3b98mJycnJSVlZGR8/fr1ypUrCKEJEyY8efIkOzv7y5cvmZmZOTk52dnZOTk53759y8/PLykpKSgoyMvLy87Ozs/Pz8nJycvLy8vLKy0tLS4uLikpgd1Fo9Gqq6vr6+sbGhri4uJUVFQsLCzS0tJAo2cwGC0tLU1NTR0dHR0dHWAWMBgMsBs6Ozs7Ojq6urpgB3K+e0IIoxsqi+7evQtP06CgoLa2NsIrSoD7z6G4OAoKCkRFRXtRp4aGxhD9GD/8iBMnTggJCf3zzz9DkTZ0FBUV6enp2dnZYS9I19XVnTZt2kBu4p8F3J+amhp9fX0LCwssMgm0tbVBzN3Q0BCvO4tHjBT2ZDKZsFvWrFkDm7Ompqaurq6+vh6s5vr6+pqamurq6traWnge0un01tZWcFe1tLQ0NjZ2dHQwmUwGg8FiscDkZ7PZtbW1QkJCxsbGRPABvJbcjzsWizX4QMq+6O7utrOzU1NTy87OxnsrIiIiEELr1q3Du2Gys7Nh8Dre0cHfvn0zNjaeMWMGdOobCD+76GNjY4HswsPDIcw1kIQhvt7Z2XnkyBElJSWCOpWVlX+YYNQrpDbItzh+/LigoOCvyJaHDMphhHe4Y3Gc/3nx5eXlenp6lpaWeJPwq6qqDAwMsGuIHR0dTk5OwJ54JfOIEceeMTExeCU3NDRISUlhz5Zns9kzZ87U0NDgrtQc+g7v+Y5ex2w2OzQ0FCG0fv160MKGnqkzSCk0h8P5+vWroqKivb39MJohDcIaBQUFpqam06dPLy8v/1mxg3zWw4cPwdUQHBwM6uEg93aI1Nza2vrs2TNnZ2eEkK2t7fPnz5lMJpvNzs/Pv3Xr1l9//QVO5Dt37hDfZSj3Hz795MmTCKEbN24M/ZsOBeXl5YaGhtOnT29ra8MoFpTEiRMn4q1zr66u1tbWxl6NTqfTZ8yYgRAaP348Xsk8YqSwJ4PBAPbcs2cPXsktLS0UCsXY2Bivzt/V1eXk5KSsrAy6Jy/CuRVhFosFuqePjw/eXLyvX78qKytjbMQJgIwlGxsbvDH3hw8fcvdYwvjbRUdHi4uL37p1q7u7u6uri8Fg/P777wICArD8EEJCQkLm5uapqamc//nTDI6YmBhBQUHslntubq6mpqajoyPe1KLS0lJNTU0HBwe87FlUVKSsrIyd4xobG3/77Tf0X63RQCDyPX8Fe1KpVFNTU7ximUzm5MmT1dXVc3NzeRTFrYQymUyoc9+wYQNeyz09PV1YWHj+/Pl4J3PAVLhZs2YNbrn/LG7dugVctmXLFrzsGRMTQyKR7t+/39nZyWaz29raVq1aJSYmtnPnzn///ffGjRvgKDcxMcnKyuIMobIFru3IkSOge+J9SOfl5Wlra1tZWeGlucrKSgjZ4a3bqa6uNjAwUFdXx5udSvRY+s9y7x9NTU2wW+7evdvvCT9bNEYApsJh7wzIZDInTpyIvUMdh8OBWqN169bh3TBfv36lUCjDs9wHQUlJibW19dSpU3H194SN9/z5c3FxcYRQSEgI3sjGhQsXxMTEbty4AaEqJpPp7++vqamZnp4Op7W1tVlZWYmIiAxxSAy35X716lUsl0rg27dvenp61tbWeHXP8vJyHR2d8ePHY0/CHzNmjK6uLkaZHA6no6MDKh2w60A8YqSwJ5vNBt1zx44dA50wvOdkc3MzmUw2NDTEq8r19PQsWLBAQUHh06dPHKwzNbdt24YQ8vX1xcue6enpkpKSGIdfAkpLSydMmDBlyhRcfk/Aw4cPIftq8+bNeD0Yp06dEhYWvn79OiwnOp3u6elpaGj4+fPn7u7uzs7O0tJSVVVVNTW1zMzMoQgkKjX5+Piwd6grKSnR19e3trbGG94pKyvT1tbGPkKjsbHR1NTUwMAAr1iCPbH3vuMRI4U9iTr3gdhz2GhtbaVSqaNHj8beXMDR0VFdXR2iRhjZMzw8HKJGeOn+69evMAgMu9/T3Nwco+4JePLkCcTcw8LC8M5z/+OPP0aNGnXp0iX4s7W11c/Pj4+Pz83NLSoqKjIy0sXFBSHk4eExRLHw058/fx4hdP36dSyXSqC8vNzIyGjChAm4FHAARI0mT56M189QW1s7evRofX19jDI5HA6dTp85cyZCCHsuFI8YKezZ1dUFMdYDBw7glUyj0UgkEnb27Orqmjt3rrq6OljuuFZhT08PzLb18/PDxZ5wbfn5+aqqqk5OTnjZs6ysbOLEidbW1nh1z/v370P+b1hYGF7iOH78uKio6M2bNwn29Pf3h4xgeXl5RUVFFRUVhJC7u/tP9RA5fvw4Hx8f9nnaxcXFurq6c+bMwWuIFBcXa2hoTJ48Ge8TuqamRldXd9y4cRhlcjictra2WbNmIYSwS+YRI4U9ORwOsGd0dDResdAlxMjICK+Lh8PhODk5qaurf/v2Da/YsLAw0D1xbRgiY4lKpc6bNw/v4PWCggLojox3rhHRWz4sLAxv//PTp09LSEjcvHkTbm9ra+vq1avFxcWPHDmSmJgIVbPQ0efgwYNDJ5cTJ078It3TwMBg6tSpeJ/9VVVVo0ePNjIywj6Zw8zMTE1NDa9Ky2azly9fjhDS0tLC6//lESOFPVksFuwWokMdLtTV1ZFIpF+h8zs4OBC95TEul+3bt+NlT0B+fr6Ghsbs2bPx6p7l5eWTJk2ysrIaymzRoaCrq6urq+vp06fQG2LTpk14Ux1v3bolLi5+7tw54CMmk7lx40Z1dfW0tDTOd+5OT09HCM2bN2/oM6Bu3rwpICCAfZ52bW2tqamptrY2XudvdXU1iMVLRo2NjRMmTKBQKHi5vru7e/Hixf9Vag6Irq4uISEhhFBkZCReyR0dHWpqakZGRtifWu7u7lQqFXYdRkCPpRUrVuBthlRaWmpubv7DoqCfRXV1ta2t7fjx43HlHrDZ7MbGxvv378vKygJ74h2hfPXqVRKJBFGjnp6e9vZ2Hx8fFRUVSPAEQADdxcVl6E6DS5cuCQgIXL16Fa/aVVVVZWRkZG1tjfcRArVG+vr6eDdFfX29qampvLw83pvAYDCg1khXV/e/Ss1+wGL9H/a+O57q9o3/JvtwkJ29ZyWyZSSzrfT0tNDWXlqqpz2FxlNpJ1Kp0EIlNCSjXRqaRtbB4RwcjvP5/XH9Oj/fHkmdy+vnj95/eB3Hcfn4fO77fV/7alFSUiKEzJ8/H1dya2uroaGhkZERrvuMoih/f38NDQ3B8z3bg8fjbdy4kRAybdo03At+8eIFNMStqKhAFFtWVubi4uLg4ICle1IUxePxkpOT4TRdtGgRYsYSj8fbv39/r169IDGTx+OxWKzp06dDzbunp2dAQICjoyMhRElJ6c6dO10XDlPhEhIS0PsKamhomJmZ4bovysvL+/btq6+vj7vGqqur+/Xrp6Kigh5jgFAeuk9AQPQU9uRyuRAl2LJlC67k2tpaBQUFY2Nj3IUCde6qqqr8PEEsrFmzBqIWuEkqz58/79Onj6enJ25RUFFRkbW1tYODA/TYFxyw8dLS0qSkpKDvAe4okaNHj0pLSwN7QrnRxo0bhYWFJSQkREREoDeVmZkZXxXt4nY9duyYiIgIut+zm1BVVWVubt6vXz9cMoKJxNra2ogyKYpqaWkB9kTPhRIQPYU9KYqSkZEhhGzatAlXLJvNVlVVNTU1xXUjcrncESNGqKqqPn78GFEsRVGxsbH9+/f/pZBF54AdUlhYqK6u7u3tjat7lpSUQDsrLFIG9rxy5QpUai5evBj3FDl27Ji0tHRsbCy/f1pTU1NtbS2Tyayvr4fWUF2cBdAekLEUHx+PeKkURTEYjAcPHkD7V8RjD4qCjI2NcTcFk8m0tbXV09NDlElRFJfLHT9+PCFETU2t5ww1onoOe/J4PKgt2b59O67k5uZmFRUV9Gx5qHNXUVEBvyfWGd7S0lJdXV1dXV1RUYEVKIAFV1hYqKGhMXToUNzB65WVlUOHDh00aBCWOxWu9ubNm6B7LliwALfW6MyZM7KysnFxcYI8sv/+7vnz50VERE6dOiXQJf7nr0DZLiA8PBxLMrhTtbW1cQ2y+vr6QYMGKSsr48a4WltbgT21tLRwd7GA6Cns2djYCEtk8+bNuJI5HA60K8d1kHO53L///ltBQeHevXsUEnteuHDhr7/+cnV1tbS0tLe3DwgIOHz4sOBiAdDrTMDRwf9FdXX1yJEjra2tP378iCg2PT0dbJFZs2ZhBUzgGUHM/ejRo9DA8Ke/0uGT/e+bMTExwsLCJ06cQLSFU1NTYeACAHHk19evX2FOBi4ZMRiMAQMGqKmpobMnWO6amproeYeCoKewZ0tLCzTfX7lyJa5kDoejp6dnbGwMTxQxrT0wMJAfc+9c7E93aWVlZVBQEGjf7SEiIjJx4kSUC3737p2urq6XlxduxlJZWZmbm5utrS0We8K9SklJgblGs2bNwg2YHDt2TFhYGNjzp4uh65b7yZMnhYWFEXXPioqKgQMHtl8MiOxZVlbWv39/AwMDXDJiMBhWVlaKioq47NnW1jZ58mRCiK6u7p98zw7A5XIhxorOniwWS1VV1cjIqPM2kb8KHo8XEBCgoqLSFb/nT//osmXLyI8xe/ZswS/43bt3BgYGXl5e6H7PIUOG2NnZ4U7Hy8zMhIylyZMn42YsAc0dPny48yPtV/1rp0+fJoQcPXpUsKv7f4BmMd3EnqB76ujooGfL9+vXT1dXF5eUORyOv78/IQS9S6+A6CnsSVEU+LnmzZuHK7a1tVVXV9fQ0BA3fZKiqKCgoN69e9+/f19AORkZGerq6vxNIiEhERISYmJi0n7nCJ4XBTNnPDw8SktLBRTVHpWVlX5+fnZ2dlgxd0BGRoasrCz4PXHZ88iRI5KSkmfOnOmcH3/1lN23bx8hBKtSMy8v77+HKCJ7VlZWGhkZWVtb46pyDAYDxmciyqQoisPhQL4net9lAdFT2LO1tRX8XIsXL8aVDP09uyNjyc/PT1NTU3Beg6ZKAGFhYXiTzWa7u7vz31+2bJmAf+Xp06fy8vIjRozA9Xt++vQJkvBxG99dvXoVMthCQ0O7aAZ20cqOjo6m0WjozZCOHz/O1z0FjwvzWzV3E3tWVVX17dsXPQkaps+jZyxxOJyAgAA+e/acsHtPYU8OhwMrJioqCldyXV0ddAnBtSZaWlq8vb01NTULCwsFFLVt2zYdHR09PT06nd7+8AgJCeHvnEmTJv1UTufcARlL6Nny5eXlHh4eiH5PwO3bt2H48MyZM7sYNeqKH5OiqFOnTkGdu8DX+D+Ii4sjhOzdu1fwvT1lyhR46FZWVjBLsjt0z/79++vp6eFGjWpra+3t7eXl5XEdAs3NzX///TchRFtb+0+2fAfgZyzBPHdEsNlsbW1tftQIC+CLUVdX72IXyJ+irq4uPz+/vf0LnREAXWm53/lco3fv3unr66NP5igvL/fy8rKyssLtEp2ZmQmzjufOnYsbNTp79qysrCyUVCJyR1xcHNS5C7i9z5w5A0+8V69eZ8+e3bRpUzfpntbW1hoaGri6Z11dnaOjo5SUFK5DgMPh/PXXX4QQZWXlPzH3DtDW1gbsie73hDp3Y2Nj3KTrlpaW8ePH87Pl0Y/EhIQEaJVGCBETExOkMRKw6qdPnywtLb29vXFN7LKyMi8vrwEDBrx9+xZRbFZWlrKyMiFkxowZuCXeZ86ckZKSOnbs2H+nHAuC+Ph4ISGh6OhoQYR8+PCBP/Vz8uTJFEWtWLGim3RPGxsbDQ0N3HvLZDKdnZ3pdDqu7snhcCZMmEAI0dLS6jlmO9Vz2LOlpQUstZCQEFzJHA5HV1fXxMQEV/ekKCowMFBeXh6qoRH3YV5e3tChQ/nUSQhJTk4WXCw4KNGjRmVlZZ6enpaWlljsCcrFvXv34A7MmjWroaEBZc/AM4qLi6PT6aB7Ci6WT8ExMTGEEMhY+u1EKL61oaKiAo+pfTIGru5pZWXVt2/fX9Lrf/p/MZlMJycnMzMz/oDYrgvkv+bxeC0tLU1NTTB4CqanQL4net9lAdFT2JOiKNA15s6diyu2tbXV1NTUwMBAkJj7f+2Ftra2oKAgBQWFnJwcCpU9jxw5wt8wJiYm7Xv/dHI91M8Wa1FRkbGxsbe3N7rl7uPj4+Dg8OXLl59+uCt3Cf6LO3fuQMZSSEgIln4EkuPj45WUlOLj49sP4+v65fHx3Yfj4+PFxcWhUvP3FgNUyn93XnYTe7JYLGdnZ0tLS1wTu6mpycfHR1FRURD7msvlNjY2NjY2tld3wBespqb2x+/ZMSA7esOGDXD4/Lac9k+Ow+E0Njbq6uqampqie0ymT5+uqqr67Nmzn37ylx75zp07+RtGSEjI0NAQpW17WVmZs7Ozj48P7lyj+vr6SZMm2dnZIfZYoijqwYMHampqhJDg4GBc6/Ly5cuysrLHjx9va2v7qd+ztbWVy+XCvCOKosBVyuFw2Gx2U1NTY2Mji8VqampqaWmJjY0VERHZsWMHm81msVjNzc11dXUsFqu+vp7NZjc0NDQ0NJSXl9fV1VVVVVVVVVVWVpaWlvJvWm5urra2Njz08ePH8y8AxrQAjhw58t3lPXz4MDc3Nzs7Oy8vLzs7+86dOxkZGXfv3r1x40Z6evrNmzdTUlIuX7588eLFq1evJiYmxsXFJSQkJCcnHzx4EP7c4cOHL1y4EBsbe+jQocOHDx88ePDgwYPR0dFRUVHbt2/fsWPH7t27o6KitmzZsnXr1rCwsLVr14aGhoaFha1YsWLp0qVr167dvn37kiVL1q1bt2nTptmzZ8vLy8NTW7Vq1ZIlS0JCQgIDA2fNmjVjxoyxY8cGBwcHBQXNmDEjMDAwKCho2rRp06dPHzdu3JgxY3x8fLy9vUeNGuXp6enp6Tlq1Kjhw4ePHDnSzc3NxcUFEnLQe98JiB7EnhAlAL8nv4NDh+DfwZ+m7HG53ObmZgsLCxMTE76RApKhvw5sDHjR1tYGmwR2SEtLS2trK5yBzc3NLBaroaEBdgLsjZCQEHl5+bS0tPr6eiaT2dDQUFdXV1dXV1tbW1dXx2Qya2pqGAwGk8msrq6Gb0tLS79+/VpWVlZdXV1ZWflfFySPxwsPD1+zZs3EiRNhLBogNTW1/cc+fvz49u3bt2/fPn/+vPAb8vLycnNzc3Nzc3JyMjMzb926dffu3Tt37mRmZt69ezcmJkZDQ8PQ0PDEiRNpaWkpKSnx8fGXLl06f/58bGzs+fPnL126FBcXd+HChZiYmJiYmBMnThw8ePDYsWOHDh3as2fPiRMnDh8+vGPHji1btoSHh0dGRkZGRoaHhy9dulRJSalXr16BgYE7duxYvXr1smXLVq1aFRoaCi+WLVu2ePHiZcuWhYaGLly4cN68ebNnz547d25wcPCECRMmTJgwZcqUKVOmBAcHT5o0aeLEiVOnTp0xYwaMBQY4OTn5+Pi4uroOHjzYzc3NwcFh4MCBtra29vb2dnZ2AwYM6N+/f9++fQ0MDPT09IyMjAwMDIyMjHR0dNTU1BQUFNTV1dXU1PT19Y2MjMzNzaHpsqioqKamppycnKioqJiYmIiIiLi4uKioKI1GExUVFRISgrMcDjDSnaAoislkQkwZUFBQkJWVdfv27dzcXKjvBixatCg7O/vBgwf8plPdemE9ARISEvLy8lBHQwhRV1f/4/fsGHp6eoQQFRWVHTt2hIeH79q1a9u2bdu2bVv/DRs2bFixYkVoaGhISMjKlSuXL1++ZMmSJUuWLFu2bP78+XPmzJkzZ868efPmzp0LZ1pwcHBISEhwcDA8Bh8fn3Hjxvn7+48aNWrYsGF+fn6+vr6+vr5+fn7u7u5ubm6enp4wogf254ABA6ytrW1tba2trW1sbPr27WtqampmZmZsbGxsbMzPZqfRaP369TM2NtbQ0FBTU1NWVlZWVlZSUqLT6XQ6XVFRUUZGRlpaWlpaWkJCQugbwEbrfEbgsWPH+OtGQ0Oj/Y8gk/z/L4BW+OQiLCwMHd74fd7avxAVFQWeEhMTA56SlJSUkJCAr1JSUjQaTUpKCt6RlpbmF60KCwvLyMjIysrSv0FWVlZOTg6+ysnJKSgoKCgo9O7dW05OTlFREb5VVFTU0tLq06ePiooKEKipqamlpaWFhQW0kVVWVra0tOzbt6+zs7ONjY2lpaWhoaGFhcWAAQPs7OxsbW0dHR0dHR1dXV2HDx/u9g0eHh5eXl4+Pj5Dhgzx9vb28PDw9fUdOXLkxIkTLS0tCSHGiOW0oAAAIABJREFUxsZTpkwZP3781KlTJ06cCKdCUFDQlClT5s+fP3PmzAULFsycORPeCQwMXLp0KUVRxcXFzs7OXbztioqK/AKN/fv37927NzIycteuXXv37o2Ojo6NjT19+vSZM2eOHj2akJBw+vTp2NjY5OTkxMTECxcuJCcn37hxIy0tLSYmxsDAgBASFxeXnZ19+/btlJSUlJQUUGbT0tLu3r17+/bt1NTUmzdv5uXl5eTkFBQU5Obm5ufnFxQUvHjxorCwMD8//9GjR69evXr37l1RUdGXL1+eP38+YMAAQkh2dnZ1dXV5eXl5eXlJSUl5eXlZWVlpaWlVVVVtbS28X1ZWVllZCXo66PJsNrumpobNZkObq+bmZnB9crlcqNSUkZFBr3kRBD2IPfX19WF9wG6BDSMtLS0rKysjIyMvLy8vL9+7d28lJSXYLaqqqqqqqkBYffr0Ac4CClNXV9fU1NTT09PV1YVVIiQkpK2tbWRkpK+vr6enZ2BgYGpqamFhYWFhYW5ubmpqCt/269fPzMysb9++/b/BxsbG2tq6b9++wKFOTk6g/gwePFhBQYEQYm5u7u3t7eXl5enp6eHhYW9v7+LiMnjwYG9v7xEjRvj7+/v4+Hh5eQ0dOtTPz2/YsGEjR44cN24c7LHOB4iy2ez+/fvDPRETE4uNjeX/6MCBA+vWrdu2bdu+ffvCw8M3b968a9eu3bt3R0ZGRkdHHz16NCoqavfu3fv37z969OjBgwfj4uJ27NihpKSkpqYWERFx7ty5+Pj42NjYxMTE8+fPJyYmXr58OTExMTk5OTk5OSkpKTk5OSEhISkpKTU1NSUlJSkp6fbt22lpaVlZWZmZmRkZGVlZWc+ePbt79+61a9c8PT3l5eVjYmKKiooeP3784sWL/Pz8p0+fPn/+vKCg4MmTJ7DZ3rx58+bNm6KioqKiolevXpWWlhYVFX369KmoqOjr16/V1dWlpaUfPnz4/Pkzk8lMS0uD6LOVldWjR49YLBaDwaitrWUwGKDXMxgMNpsNuw7MgqqqKgaDAaY0WNNcLpfFYjGZTPgMbMVr167Jyspu3ry5ubn5OzPwuzjSLxmJKSkpMjIyv5etXFJS0j6vs3Po6+t36Ar/JbDZ7CFDhoiKiuJmLDU1NY0aNYoQghtzpyhq3rx5hBBZWVncwjMB0YPYE7Q5fX39tLS0+/fv379//+7du+DHyczMfPANBQUFOTk52dnZL168ePny5YsXL548eVJYWFhQUJCfn//u3buXL1++fv363bt3xcXFnz9//vz5s5GRkaqq6t27dysqKj5//vzp06fS0tLq6mrwSdXX1zMYDPi2vr6+pqaGxWKB3xp8Ww0NDfX19ZxvAH8Zl8udP38+jUZLSkqi2u00DocD4Yj2PSJ/6pvncDgNDQ35+fnfvd9+Uy1fvlyQ21tRUeHl5YXbBJ6iqKampunTp+vr68Nceyw8fvzY3NycEDJy5MhfSu9vf9vbv8//Nj09XUlJae/evS0tLf/lx992q6WkpNBotIiICPALdb29CEVRpaWlfn5+YmJi9P+FrKws3/gghICSbmVlJXhD7pqaGhcXF1lZWfAp/9LVdgj49fr6ek9PTxEREf5NEPA6+YDKEWVlZXReFgQ9iD3NzMwIISNGjMAVy+VybW1tdXR0UPIc2y+IJUuWyMnJ/dL8hv/iw4cPy5cvHz169PDhw9XU1L7z9trb2/M3z/r167t+bf/Fp0+fBg4c6OTkhFsUVFdXN2nSJBMTk6dPnyKKzc3NNTQ0JIRMmDChfa5r1/f5jz525coVWVnZvXv3tq9NEpw+gD2joqKAvjuvXPgOTU1N9+/fT0pKuvK/uH37NnTHAISEhNy4ceP27du1tbWCXCpFUTU1NW5ubrKysriVCEwm08fHR0hICFcsj8eD6SmKioq4kgVED2JPMLGnTp2KK7a1tdXCwkJXVxdacwvYE7f9Nps3bx6dTk9PT/9O7C9txZcvXxoZGfF3yN69e/k/gr4e8L6kpORvl2ZDZPnz58/gy8Nt51FbWzt+/Pi+ffviZsvn5ubCbQkICMBNsUpKSqLRaPv374c4IbwpOHuePXuWEHLo0KHOP/arf6V9zB2xgVN1dbWNjY2+vj6uKsdgMOzs7GRlZXHzW/j5nrq6un+iRh0DLPcxY8bgim1ra4OuWbibkKKohQsXysjI3Lp1SxAhPB5v2rRp7a2zjIwMiqKqqqq8vb3579Pp9N8+dWHHvn//3tDQEH2m5ufPnwcNGmRra4vboe7u3buQsRQUFFRXV4coOTY2Vlxc/Pjx47i5LydPniSEREdHc7lcRMnt8z3//fdfLLE1NTU2NjZ0Oh3XjVhfXw+tbXBJua2tDfI90TuHCogexJ4QR0afqdnY2NinTx/0uUYURY0fP759APS3cf36dciS6wQ7d+4U8K8UFxdbWVm5uLigZI/yUVNTM27cOAsLi1evXiGKzc7O1tLSgtMUN0E1ISFBRERkz549WFoMcOXZs2dFRER2797doTv1t7FgwQL+GtizZw+W2OrqaicnJ0JITU0NlkyKohoaGjw9PQkhuFXRPB4P2FNGRgZ3RKCA6EHsCfme7VOFUQC1Rrq6uri9hSiKmjdvnrS09M2bNymBHeSRkZHt4wPfwdvbW/CrLSkpcXZ2tre3x23nUVVVNXLkSCMjI9yo0b1791RUVAgh6IOYLl68KCoqGhUVhWtdnj59WkhIKCIiAte0fPDgwb59+6Kjo/ft2/fy5UsssTU1NQ4ODjIyMrgx94aGhsGDBxNC0DvAg9+TH+bqIehB7Al1zX5+frhiuVyupaWllpZWSUkJrmRgzxs3blAY4cXo6Oh+/fqJiorySVNUVFRNTW3btm0YF/t/69zRo0YMBmPMmDFGRkZYexvYJysrCzKWEBuSwjO6cuWKlJQUou4JAFLetWtXj3LM/Qg1NTWOjo4iIiK46ZMQcyeEoFcEzZkzhxBCo9H+5Ht2DLDUxo0bhyuWy+X279+/O/yeixYtotFoaWlpWAJZLNbevXsXL148ZcqUkJCQqKgoRHO4pKTE1tbWycmpKwXpXUd9ff2ECRP09PRwdc+HDx9CFNHX1xfLcudPiqfRaJGRkbi65+XLlyUkJLZv347eRvb69evnzp3D9TuB5S4iIoLrU66pqYEcO9y2oVwud+rUqWC5416wgOhB7AkZS/7+/rhieTzewIEDNTQ0cC1WiqIWL14sLi4O+Z49H1++fLGzs3NwcMAN7zCZTMhYErxLNAA4js+efn5+uJb71atXpaSkoqKimpubEfXExMREERGRvXv3IuaQUt+mVEpLS+M6KOvq6pycnOTl5ds7KAVPPKivr3dzc0OPGrW2tgYGBhJC5OTk/mQsdQyIuf/111+4YiHmrqOjAxlLiGjv90TElStXXFxctm7dihsP/fz588CBA52dnXGz5evq6v7++29TU1PBJ5QAYAM/fPgQ2lgMHToUN2p0+fJlGo0WHh6OG95JSkoSFRWNiIjAZc+KigpHR0cFBQXBczzbg8lkurq60un09m5EFPb08vIihKBHxmfNmvWHPTsDsOfff/+NK5bL5ZqYmOjr6wvSYLhDzJgxg06nQ4IR4j4MDw8nhHh5eeFecHFxsb29vbOzM67lXldXN2HCBBMTEywnA+iDjx49gmz5MWPG4Oqe165do9Ppu3fvxjWxk5OTRUVF0d2plZWV0GEIdzEwmUw3Nzc6nY5Lyg0NDb6+vr169UJ3/s6fP58Qoqys/Ic9O4axsTEhZOTIkbhi29ra+vfvr6Ojg5vnSFHU/PnzJSUlr1+/TqGy5549eyBagmuslZeXOzk52djYvHv3DlEsOnsCCgoKTE1N4TTF3eGXL1+WkpLil1Ri4dq1a5KSkvv27UOUSVFUfX29t7e3rKwsrr+voqLC2dlZWloaN+be0tICIzRwM5Yoilq+fDkhpHfv3n/yPTsG1JagW+4URbm4uGhra6NHjRYsWMDXPREBs21HjhyJy56lpaWurq42NjZYfk9gn7q6usDAQGNjY6yYO4h99uyZhYUFRBFxdc9bt27JysqiR42ysrJkZWV3796NKJOiqMbGxqFDh2pra+Nm6tTU1Hh7e9PpdFyvSHNzM5SWovfS5XcJwaV7AdGD2HPgwIHdETWiKMrd3V1LSwudPZcvXy4jI5OZmUmh6p4XL14E9sTVuSoqKry9vR0cHHAzlphM5uTJk/v164druT99+hTYc8KECb+9w7+rrAVAzH337t241uWlS5eEhYVRZmq2R11dnaura58+fXCd4HV1dYMGDRITE8M9ofl+T1zds62tDerxFBUV/+R7dgwrKyvSDZWaPB7PxsZGT08Pd6FQFDV37lxZWVn0uUYwmWPMmDG4xhpkLDk4OBQVFSGKrampGTt2rKWlJVbMHZCfnw8dCydPnvzbLj/odPXdo0lOThYXF4+MjMTNSUxISBAWFt6/fz+iTIqiGAyGk5MTnU7HzXOEOvfvokaCo76+3s/PjxDSTV1C1NTUcHOhBEQPYk/wc40ePRpXLMTc9fT00KNGgYGBsrKyWVlZuGIPHz7cHZZ7SUnJwIEDbWxs3rx5gygWYu7m5uZYMXdAXl4eZCxNnjwZ9xRJTEyUkJAIDw/H3YeXL18WFRVFHD0EYDAYzs7ONBoN1xCprq52dHSUk5PDNYSZTObQoUO7w+8JlvufmPsPAX7PUaNG4Yrl8XgDBgzQ0dFBr9ScO3cunU5HZE/QhqDfxLBhw3Dpvry83M3Nzc7ODjfvtb6+PjAwEL1SMy8vD6KIo0ePZjAYiHoipLVv3boVlz3BIYAeNaqrq/P09BQVFcX1O7FYLF9fX3FxcVxSbmxsHD58OCEEvYfxokWLCCFSUlJ/uiN3jL59+3YHe1IUZW1tra2tjZ7vuWjRImlpaX6PJSxPOcy29fX1xd0wX79+HTx4sLW19fv37wXP7OODzWbPmDHDyMioK9Pxuo63b99C1crQoUNx78OtW7doNNqOHTvQo0ZycnLh4eGIMimKamhoGDVqFDp7NjU1Qc833Igch8OBAU24DgEejwcZS6KiougWpCDoQewJUaPuYM9Bgwapq6vj9rWkKCosLExCQgIylig81+eZM2e6o8bm69evHh4etra2uFEjNps9Z84cQ0PD58+fI4otLCwE9hwyZAhKW2s+MjIyZGRktm3bhsueN27ckJaWRo+5NzQ0+Pj40Gg03MXAYrEgvIPbsojNZoPljh7bmT17NiFEWlr6j+7ZMRwdHbujSwhFUa6urhoaGrg1NhRFrVixQlJS8tq1a4gyeTxeXFwcbncMQFlZmZOT08CBA3GjRiwWa/r06YaGhri655MnT8CT4+vri8ueKSkp0tLSu3btgqGqWGLT0tKkpaV37NiBG4xiMBiurq69evXC9TvV1tZCMyTce8tmsyFjCb0aHTr10Wg09NivIOhB7AnT+IYNG4YuuV+/ft1huc+cOZNGo125cgVX7IEDB+A+4ObiVVRUuLu7W1lZ4QbHWSzWrFmzNDU1cSdzPH36FCbiobNnenq6jIwM+D0Rme7q1auSkpK7du3CZU+IYqOzJ5PJhN7buGusqakJYu7ouidY7lJSUriOWgHR49gTpZfld7C3t9fU1ETXPRctWiQmJpaQkIArFvyePj4+uBuGwWAMGzbM2toad4QGi8WaMWOGurp6Xl4eothnz57BVLhBgwbhFomlp6fT6fStW7fiWu7AnpGRkYgyKYqqq6vz9vYWExPDpTl+YiauKsdms0eOHNkdUSOIuYuLi//xe3YMa2vr7qjUpCjK0dFRU1MTt6c6RVHLli2TlJS8evUqhZrvGR8f3x2We3l5uYeHh5WVFW7GEpPJDAwM1NHRefz4MYpAuJMFBQXQ98DNzQ2XPcHE3rJlC7rfU0ZGBr2/Z1NTE0SxcRXwhoaGESNGoJvYfMsd2BN9QomEhATuKSIgehB7gqWGnu9JUZSTk5O6ujpESxCf6NKlS6WkpNDr3C9dukQIGT58OG6Ytby83NfX19LSEjcxE/ye2traWOwJpPb8+XNLS0tCiIeHB7hcsFgpMzNTQUFh8+bNuBlL2dnZSkpK4E7t8AO/d/0NDQ1jxoyRk5NDYQ3+NQB7SkpKdp6E/6sTTFksFsxz57Pnf6sVOvn1TrBy5Uro7/nHcu8YMH3X19cXXfKQIUP69OkDeY6INLdu3TpxcfHLly/jik1MTOyOzmwMBmPs2LHo49vYbPa8efMMDAz4Mfffpjm4h/Drz58/B08Ov8cS1h3OyMjo06cPjNDoROav/rm7d+8qKCjs27cPV6Vls9l//fWXhoYG0Nyv3tsf/RccDuevv/5SVFRE0T35f6W1tXXChAni4uLovTy2bNkCXUL+VGp2DGDPX8pY6uLZOGTIEG1tbbB9EGlu1apVUlJSiL3lAUlJSd1Ra8RisYKCghwdHXE71FEUtWbNGjMzM75Ki3KHCwsL7ezsCCFjx47FdaLdv39fQ0MDcT4lX6ySklJERMRv/O53Y+Wbm5v5c4Fqa2t9fX0lJCTA38flcpuamthsNoPBqK+vb2pqYjKZLBarrq6OwWBUVVV9/fqVwWBUV1eXlJSUl5eXlZXB1y9fvnz+/LmkpKS0tLSsrOz58+eQ4nLnzp0PHz58+PDh9evXhYWFL1++fPbs2YsXL7Kzsx8+fFjwDY8ePbp3715mZmZeXt7Dhw/v3LmTkZFx7969O3fuZGZm3rhx49q1aykpKcnJyeBviY6OvnHjxvXr1xMTE8+fPx8XF3fixIlz587FxsbGxMScPn366NGjR48ePXXqVHR0dHR09P79+48cOXLkyBH+t3v37t39DeHh4SBWkMmy3YEexJ7Ozs6EkGnTpqFLHj58OJ89EbFt2zYZGRmY596hUsCfGA76CI/HA2uxra2tqamJ/yO+ttLW1sblckH39PHxKS0thTc5HE5raytk2LS0tHA4HOjs29bWVltb29jY2NjYyOFwWCxWU1NTXV0dm81ubGxks9k1NTWwlxoaGj5+/DhixAgzM7Ps7Oza2loGgwE7kMlkMhiMiooK+FpZWVlcXFxWVlZSUvLp06cvX75UV1dXVVV9/Pjx48ePb968efXq1Zs3bx4/fnznzp1Hjx7dvXt31KhRdDr90KFDBQUFT548KSgoyM/Pz8nJycjISE9Pz8rKysrKunXr1s2bNzMyMm7cuHH79u27d+9evnw5Li7u9OnTJ0+ePH/+/KVLlxITExMSEs6cOZOUlLR+/XqYEigmJrZmzZrjx4+fPHly//79ERERkZGR27dvj4yM3Llz54oVK9avX7958+YtW7aEhYUtWbJk3bp169evX7Nmzfr165cuXRoSEhISEjJ79uzg4OCZM2cuWbLExcWFEKKrq+vv7x8QEDB58uQpU6aMGjVqzJgxkyZNGjt27JgxY/z9/UePHu3t7T106FAvLy8XFxd7e3sbGxs3NzcXFxd3d3fI/erfv7+Li8ugQYPs7OxgfjIhxNjY2NjYWFlZWVtbW1NTU0tLS0tLS19fn0ajKSsrq6ioyMvLS0pKKigoKCkpSUlJ0Wg0UVFRWVlZWVlZMTExYWFhQoiwsLCEhISkpCT5g3aQl5f/k+/ZMaCnv7m5OWy/+/fvw667devWjRs30tLSbty4kZqampKScvv2bdhsSUlJiYmJiYmJycnJycnJFy9eTEpKunDhQkJCQkxMzJkzZ+Li4uLj47W0tGg0WlhYWGxs7KlTp2JiYiIiInbv3h0ZGXnw4MG9e/fu3Llzy5YtO3fu3Lx58z///LNmzZqwsLC1a9eGhoYuX748LCxs5cqVK1asWLp06fz58xctWrRw4cJ58+ZBEyB7e/uQkJAZM2ZMnTo1MDBw3LhxkydPHjNmzMiRI4cPHz5s2DA/Pz83NzcPDw/PbxgyZMjAgQP79evn6OjYr18/S0vL/v37W1tb29jYWFlZ8acTa2lp9evXz9DQUENDQ0lJSVVVVVdXV1FRsXfv3nJycsrKynJycvLy8goKCmpqajo6OvLy8nQ6XUZGRlRUVEREpFevXv8fF3rPhJCQkJCQELyGWyQsLCwsLNyrVy94LSIiwr97oqKioqKiYmJi4uLi4uLiEhIS/Nfi4uLS0tK9e/cGElRUVJSWlgaZmpqaqqqqvXv3NjQ0NDMzMzAwMDIy0tLSUlJS0tXV1dXVNTIy0tfXt7CwsLOz69u3r7W1NawBW1tbe3t7R0fHQYMGubm5ubq6uru7u7i4wKRuOzu7v/76y93d3dvbe8SIEd7e3r6+vmPHjvXy8oJjYMKECQEBARMnTpw4cWJgYOD48eMnT548c+bMRYsWBQYGzp8/f8GCBdOmTQsKClq+fPmCBQtg6N748eP/+eeff/75Z/369evWrVu7du2aNWs2bNgQFha2adOm3bt3b9u2bevWrRs3blyzZs2WLVu2bNkSERERFRW1Z8+e6OjoU6dOHT9+/MSJE/Hx8YmJiceOHYOJAFu2bElKSkpNTU1NTb148WJqampaWlpcXFxqauqVK1cSExNTU1Nv3bp17dq1Cxcu3Lx5MzU19c6dOw8ePIC9D2fwixcvCgsL379/X1paCpVRkpKSf/I9OwbUGvFXOcpWgdUP3woLC4uJicE70tLSEhISoqKisCtoNBqNRpORkYEX0tLSdDpdVlZWTk5OQUFBXl5eUVFR+RuUlJSUlJRUVFRg/qW0tLSqqqq6urqmpqaGhoaWlpa6urq2tra2traWlpaOjo6urq62tra+vr6urq6enp6enp6WlhZsKiMjIxMTExMTE1BYTE1Nzc3NNTU1CSE0Gq1///7Q1wN6Izk4ONjb21tYWAwYMGDQoEGOjo5Dhgzx9fV1d3cfPHjwkCFD3N3d/fz8RowYMWLEiKFDh3p6eg4bNgw0qQkTJvj7+wOxDh8+fM6cOdOnTw8KCpo2bdrUqVNBLwsODg4JCZk+ffqCBQtCQkKmTZs2c+bM0NDQpUuXLlu2bOnSpWvWrFmzZs2mTZt27twZGRkZERGxdevWtWvX9uvXjxASFBS0b9++gwcPRkVF7d+//8CBA/v37z906NDevXthdx0/fvzo0aMnTpw4ffr0uXPnjh8/HhcXFxsbe+nSpaysrMuXLyclJaWlpT18+DAnJycqKgomEuvo6CQmJj5+/DgvL+/+/fv37t17+PDhrVu37t27d/fu3aysrIyMjKysrBs3bmRlZeXl5RUUFOTl5T169OjZs2evX79++PDho0eP3rx58+7du8LCws+fPx8+fFhKSmr27NlFRUVfvnz5+PFjcXFxSUlJcXFxaWkpg8Gora2trq7+8uULaOJ8o5jJZNbU1NTV1dXX1zc0NDQ2Nra2tjY1NXE4HLAYpKWlQ0NDGxoaeDxeS0sL+FX5WaVtbW3wJvW/jsLON0V9ff2wYcMIIRDz5JspPB4PXv+el5nFYkFqEW6tEbhTCXYiFI/Hg4wlKSmpP+zZMcCkUlJSWrt27aZNm9avX79jx46dO3du3bp169atkd8QERERHh4eFRV15MiRf//9Nzo6+tixY4cOHTpx4sTBgwcPHTp0+vTpM2fOJCQkXL58OS0t7erVq2pqajCM4datW2lpaenp6Tk5OZmZmSkpKenp6ZmZmffv38/Ozs7Nzb1z505WVtb9+/dzcnLy8/Pz8/OfP3/+9OnTly9fvnv37u3bt2C6AiZOnCgkJLR161bYh2VlZeBmApdTeXl5aWlpVVVVVVVVWVlZbW1tVVVVZWUl7EwGg8FkMtlsdnNzc2NjI4vFamhoaG5u5nK5UGvk7e0NmTrfbbDvth/1zVkGFn0nt5fJZPr7+w8YMAA337OtrW3RokVqamr5+fmIYt++fQt+Tw8PD9zcg/v376uoqGzfvh03rR1KmDZu3IibscSvc/+NfLv2YbH2ETmqXXAcvEPgBeL/4m8HvlgsFiiJKF6y9g9o6dKlhBAxMTG44B6CHsSeHh4ehBBXV1dcsW1tbdBfFpc1KIpatmyZmJjYpUuXcMVCxtJvdMfofN/W1tb6+/tbWFi8ePFCsAv8HzQ2Ns6ZM0dJSenBgwcoAuG0ePfuHdS5W1tb4xaJ5eTkqKmprVq1CnfuI8TcV61a1fkZ9qtgs9kTJ04khOB2xmpsbBw/fjwhBEpIup5a1Dmam5uhSwh6bvWqVavAgkSfjCsIehB7Qszdzs4O5fRuf+oOGTJESUlJkBZqHS6ssLAwQkhMTMxvi+0Qly9fBp2LvwS7eEM6X/21tbXjx4/X19fHSswEtLW1hYaG0ul06BItOOC/+PTpk4+PDyGkf//+JSUlKJIBDx8+VFVVDQsL43A4iHpiXl6empra0qVLcUm5vr6+vZKIBb7uiWsI8ydzoOe083ssoddbC4IexJ7QncXExOQ3Wqt2vg1GjBghJyd3//59Aa6uA2zcuFFYWDg+Pp5CTYS6cOECIcTd3Z3fFKqLwjs3uGprawMCAszMzLAGEAGgUlNRURGLPQEvX74EP7iLiwturVFWVpa8vPz69et/I1u+ra3tRyvt3r17oHvi5nvW1dXBKYKbMcIXi9uynt9jCVcsRVFLliyBSAZ6vp0g6EHsCcEHW1vb3/jdzvnFzc1NRUUFlzUoipo3b56YmNj58+dxxYLf08vL61d1rs5vQmVlpZ+fn7GxMW4rOTabPXPmTPQ69+fPn0NKw8CBA7HMQLg/WVlZvXv3/j327CS/+Pbt27Kyshs3bsQtYYJ8T3SLlclkenp6EkJwVTk2mz169Oju0D2hUrNXr17ok3EFQQ9iTxsbG0KIo6MjumQPDw8VFRVcfx9FUatWrRISEoqLixNQTvuUT4qiEhISQPf8EXvyQ7e/hKqqqlGjRpmamuK2kmtqapo5c6aSklJOTk7nn/wlpezx48dmZmaEEGNjY1wn2r1795SVlVevXo3roAS/54YNG3ARFWb7AAAgAElEQVTZk81mQxwGlzUaGhpASUTvsTR27FhCCPoExoULF4Llji5ZEPQg9oTiBysrK/RxpiNGjFBUVISgMKKJvX79ekLIyZMnsQQCgD09PDx+5Opis9m/wZ41NTVjxowxMjLC1T2bm5vnz5+vrKyM6xh59eoVdI1B1D0Bt2/flpOT+z3dsxMAe65YsQJ39dbX14MnEb2+FjKWcHXP5ubmgIAAdLHUt5g7IQQ99isIehB7QsaSk5MTuuQhQ4aoqKjg6lwURW3YsKE72BMqNT08PHBdPFVVVcOGDdPV1cUdQMThcBYuXKioqJidnY0o9tWrV5CxZGZmhjsUIDMzs3fv3vPmzcOtxQaxixcvxmVPyFjiB8exwDexcddYY2Mj6J7o9vXy5cshZRt9QoQg6EHsaWtrCxkq6JLd3d0VFBRyc3NxxW7evJkQcvToUVyxkLHk6uqK6+qqqqoaPXq0trY2bmIm6J7y8vJ3795FFPv69WtgTz09Pdxm+Pfu3VNUVAwLC8PVPUHskiVLcNmTyWRCeAeX5vhzjXCDUa2trZMmTSKE4KZJUN96LBFCcBeDgOhB7Am6p5mZGW4aM0VRPj4+3RFz7ybLnR9zx12C0GNJV1cXN7zT1NQ0b948xIwlwNu3bx0cHMCTg0sc+fn5qqqqmzdvxqW5Bw8eKCsrr1ixAjdbns1mgy2M677gcrmQRoprYnO5XBi8ju6d3LRp0x/LvTPAbrG0tESX7OPjo6CggMsaFEWtW7eOEHLixAlcsdevXyeEuLm54W4YNps9depUPT29goICRLGtra2hoaHKyspYqj2wz7t376BrjLm5Oe4p8uTJE01NzX/++Qc3MfP58+eamprLly/HJeWWlpapU6eiW+4cDqd9tjwWWltbAwMD0QtAKYrauHEjsCd6Hr4g6EHsCWesmZkZumR/f395efmfBoW7Dtjh//77LyHk2LFjWGIBfPbEDRSwWKxp06bp6enhRo0oilq1apWioiKuas/vUGdlZYXLnnl5ed2hez579kxDQ2P16tW4llNTU9PkyZPRLVY+e+Iqia2trTNnziTdMBUuPDwc2BN9vo4g6HHsaWpqii55+PDh3aF77t27lxBy6tQpXLE3btwghHh6euK63plM5tSpU9GjRm1tbWvWrFFQULh37x6i2E+fPkFCYt++fXEDBU+fPtXW1l6xYgWu7pmfn9+nT5/Q0FBcUm5qagITG/cobWtrCwkJQfd7Ut9GB6Nz3NatW4E93717hytZEPQg9oTD0MrKCl3y6NGjFRQUcC1WiqIiIyO7o1Lz6tWroHviDl5vbm6ePXu2rq4ubqUmj8dbuXKlrKwsFnuC7vbx40cY+mhkZATRMyx/4osXL3R0dKBSE0UgIDc3t0+fPiEhIbjBqKamJuhahKt7wsCP7nCnBgcHd0c1+j///POHPTsDrBILCwv0qNHYsWPl5OSw2ljw0U3smZqaClEj3JXd0NAwZcoUHR0d3FOEy+UuX75cTk4OK2OJ7/d0dXWFyl3crZiXl6euro7u98zOzlZVVV24cCGu2ObmZtA9cRdDc3MzOATQ2XPatGnomjJFUdu3bwf2xB18LSB6EHvC7MDusNzHjBkjKyuLHnPfuXNnd8TcU1JSfi/m3rl2xmQyp0yZoqenh6t7crnclStXKigoILqVKYr68OED9NwyNTXFHQKam5urpqa2YsWK32in0LlYdXX12bNno7Mn0Byu87e5uRlSi3Cbj/DZEz2vaNu2bcCer169wpUsCHoQe0Kerbm5eXdIlpOTw93eFEXt37+/O/I9we/p5ub25cuXrg81pH7GnvX19VOnTtXX18etGmhpaVmyZAl6vuenT5+APQ0MDHDZ8+HDh2pqavPmzcOdkPP48WMNDY0FCxagW+5Ac7h8xGazwVGG61NubW2FDAF03ROyA/+w5w8Bq8TExATdcm+veyIKj4iI6D7dk5+xhHXBMBVOS0sLN1se2FNGRiYzMxNR7IcPHwYPHkwI0dfXxyWOnJwcFRWVlStX4vo9CwoK1NXVFy5ciJ6xBBmUuD1u+KSM60bkcDjg90T3TkJ2ICEEvVuFIOhB7AkVaaampuh17mPHjpWXl3/48CGuWGDPw4cP44q9efMmIcTR0RGLNeB+NjQ0TJs2TVNTEzf3oKWlZdmyZZKSkrdu3UIU+/79e5hzZWRkhBs9g0acYWFhjY2NiGIhjXT69Om4DoHGxsagoCB0bY7FYoGph6t7stls8DMUFhYiiqXadUdGlywIehB7QtTI0NAQ0aSCptkBAQHoyhH1LWq0Z88eXLGgezo6OuIe4A0NDZMmTdLU1MT1YAB7SktL495efsxdU1MT7gPWmZqdna2iorJ06VJc3TM7O1tZWXn+/Pm4YjkcDtjCuP4WvjsVcY3BECfI90S33Hfs2PGn1qgzQNsCExMT3PYNFEX5+vpKSUldu3YNVyxk8B48eJBCdQhcuXKFEOLs7Iy7UMDvqa2tja6Dh4aGSktLw2RmQdDeb/vx40d3d3dCiI6ODrru2adPH+gSgvjUHj9+rKmpOW/ePHT2BN0T12Llcrlz587tDjcitJJD72HMz5bHzVYWED2IPSEBzcjICJc9eTzeqFGjZGRkMjIyKFSag1qjqKgoLIGAtLQ0QsigQYNw2bOxsXHu3Lnq6uromVvr1q2TlpbOyspClPnx40cvLy9CiLKyMkSNIBrzS2G0DvHw4UNNTc2QkJDfa/T3IxQUFGhoaEydOhWXPRsbG8HviVshxlcSYY0JflcB/OGX6P3M+Nny6JIFQQ9izylTphBCjI2NcR1SFEWNHz+eRqPduHGDQmXP6OhoQkh4eDiWQEB6ejqwJ26eI5vNDgkJUVVVxWVPLpcbFhYmJSUFh5Pg4M81Asu9T58+wJ5wpgq+z1+8eKGvrx8UFNTQ0IBywYAnT55oaWkFBgbinv1sNhtygHDdOFwuF4qCIBj13UxNQQBN4NHtm6ioKGBP3EaIAqIHsSdEjUxMTHBPb4qiAgICaDRaamoqrtgDBw4QQrZv344rFqJGdnZ2uFZVY2PjvHnzlJWVcZshURS1bt06UVHRtLQ0FGlAjuXl5ePGjSOEKCkpgdH6e6T5X7Z98+aNoaFhUFAQbieLwsJCfX39adOmsdlsxBO6paUFSipfv35N4Z39fPaEkwnxgtesWfNdTnsXp3V2fi5CdiAhBDdjRED0IPYEy93Q0BB3WUMzLgkJiaSkJESxFEWdOHGCELJz504Kdf1BvqetrS1ueLG1tXXlypUqKiq4iZk8Hm/9+vXi4uI3b97EEkhRVElJCfjBNTU1gTh++lsdPoL/vg+65/z581ksVheFdAI+NRQVFRkaGs6fP7+lpeW3F8N/f5HL5S5evPhHcZjfVhhbW1sXLFjAL6mEv9v+r//qv8DXXiG1qL3TCWVrHDt2DNgTt9ZDQPQg9pw1axbk9zEYDCyZsB/mzJkjLi5+5coVLLEAeKL79u3DEgjrLyMjgxDi4ODwq1nine8lHo8XFhamoaGBG3Pncrnr1q2TlJTk657f7ZZOKAne5182fAux9erqakjnNjY27qLR2tbW1nlcHuS/f//ezMxs9uzZHVruv213v3//3tjYOCQkBLfWiPqWKI5bMkB9qxzHEst/iNAy/Ef29U+ZtP3UUh6Px+Vy4X7u27fvj+X+//DfhQ4jm42NjdEt99WrV0tLS+PqXBRFnTt3jhBy6NAhXLE5OTmge6JvmC1btqioqCCyJ2yGPXv28N3KggOiQ1VVVdApkq9uwKaCr/B3m5qaamtrWSwWh8Ph8XiwbJqampqbm1ksVnNzM4fDaWxsbGpqYrFYbDa7oaGhra2toKBAX18/ICDg69evDQ0NVVVVtbW1lZWVZWVlX79+LS8vr66urq2tra6uLi0t/fTpU1lZWWlpaUVFRVlZ2fv379+8efPp06fPnz9//Pjx06dPhYWFb968ef/+/ZUrV/T09MzMzLKzs1+9evXkyZMHDx4UFBQ8evQoNzf30aNHOTk5ubm5+fn5mZmZt27dunnz5vXr169cuZKenp6SknLt2rXr169fv349Pj4+ISHh3LlzV65cuXjx4pkzZ5ycnAghc+fOTUhIOH36dExMzIkTJ44ePbp3795t27bt3r17z549u3fv3rFjx/bt2zdu3Lhly5aVK1euX79+27Zte/bs+eeff1avXr18+fLZs2dPmTIlODh44cKFMMgPHESTJk0KDg4ODg4OCgqaMmXK33//7evrO378+FGjRnl4eAwZMmT48OF+fn5DhgwZPHjwkCFDBg0a5OjoaGNjY29v7+TkZGNj4+Dg4Ojo6OrqamdnJyEhQQiRkpIyNzc3MjLS1tbW0NDQ19fX1dXV09Pr06ePhoaGqqqqnJycioqKoqJinz59FBUV5eTkaDQanU4XFxeXkJCg0+kyMjLi4uJCQkK9evUSFRUl3/AnatQxIKymp6f34cOHlpYWDofD4XBaWloaGxtbWlqam5ubmprYbDaLxWpsbKyvr4fNU11dXVdXV1tby2Aw6uvr6+rqWCxWTU1NdXU1g8Goqampra1duHBhr169oqOjq6urKysrKyoq4KfV1dVlZWXl5eVlZWXwZkVFxdevX6uqqr5+/VpSUlJcXFxcXPz+/fvi4uJPnz59+fIF3vn48WNxcTHE3OfOnfvmzZu3b98WFRUVFRUVFha+fPnyyZMnhYWFz58/LygoePjwYUFBwcuXL589e5afn5+Tk1NQUJCTk3P37t379+9nZGTcunXrxo0b6enpd+7cefDgATS+U1NTi4qKSktLS01NvXLlyuXLly9dupSQkHDmzJkLFy6cP3/+3Llzx44dO3bs2OHDh48fPw476t9//927d++///4bGRnJ31H//vvv/v37d+7c2b9/f0LIhAkT1q1b988//yxfvnzZsmXLli1bunTpihUr5syZM3PmzMWLF0+YMGH27NmzZs0KCgqC15MmTfL39x83blxAQMCIESO8vLx8fHyGDRs2fPhwb29vXV1dQoi5ubm/v7+vr6+1tbWDg4OLi4ubm5utrS28sLe3h21maWlpY2Pj5ORkYWFhZGSkr6+vp6eno6OjoaGhqalpaGiop6enoaEhKyvL3zAyMjLq6uqKiopKSkqKioo0Gk1cXFxYWJgQ0n5f/RSioqKwt/8AETIyMjQaTVJSkkajycnJ9erVixAiLCysoKAgIyNDp9MVFRXl5eXh8amqqiooKCgpKamoqOjp6ampqenq6hoYGOjq6pqamlpbWw8YMMDU1FRfX9/W1tbJycnZ2XnIkCFubm789YDeKU0Q9CD2hIH3EhIS/v7+y5YtCw0NnT9//vz584ODg6dOnTp16tRJkyYFBASMGzdu4sSJY8aM8ff3Hzly5NChQ319ff38/GBLe3t7+/n5OTo6Ojo6uri4ODo6Dho0SExMjBAiLy9va2trZWU1YMAAKysrY2NjAwMDfX19AwMDHR0dLS0tDQ0NFRWV3r17w6lIp9N79+6toKAgISGhrKysqqoqLy8PawLWCn8B0Wi0X9rG3Qqhb+C/A6e3mJgYMI6IiAiNRhMTE5OQkKDRaDQaTUpKSlJSUlJSkk6ny8rKysjIyMjIyMvLy8vLy8nJwX+toKAAd0NRUVG5HdTU1KSlpQkhMjIyampqKioqmpqaWlpampqaampq6urqmpqaffr0UVNT09TU1NDQ0NLS0tLS0vkGXV1d/gsTExM9PT1jY2MLCwtDQ0MQSwjR0tKyt7e3srKysLCwtLR0dnYeOHCgubn5oEGDbGxsrKys+vXrx2dnBwcHPn27u7u7uro6Ozt7e3vDggkODnZ3dxcTE5OUlBwxYsSkSZPGjBkzduzY0aNHT5w4MTg4eMqUKZMnT4Y1Nm3atBkzZsyePXvu3LkhISGLFi1aunTp6tWrYWUuW7Zs5cqVYWFhGzZs2LBhw4QJE+h0urCw8LJly7Zu3bpnz561a9fu2rUrIiIiPDx8z549+/btO3z4cGRkZERExPbt2/fs2RMVFXXkyJGYmJizZ8+ePHnywIEDp0+fPnfuXFxcXGxs7KVLl86cOXPmzBmo99+4cWN2dnZKSkpSUlJKSsqVK1du3Lhx/fr1jIyMjIyM9PR00GfT09Pv3r17+/bt3NzcnJycJ0+eFBQU5OXlPXr0KDs7+8mTJy9fvnz16tXbt28nTJhACDl9+jQoCoDKysry8nLQFYqKioqLi6uqqqqrq0tKSoqKiioqKhgMxtevX2tra2tqathsNoPBYDKZoK3X19fX19eDO/XChQtcLhe0H1CDwAZnsVjgFwYborW19TvvzY9w6tQpWAzo+XaCoAex54oVK2DzA1Wpqqqqq6urqalpa2vDhtTW1oa9B4aArq6uoaGhkZGRoaGhiYkJWArGxsZmZmbm5uYDBgyAo8za2rp3796EEE1NTXt7e9hgdnZ2YG44OTm5uLi4uLgMGjRo0KBBrq6uLi4urq6ubm5ugwcPdnd3B3YGUvb29h42bNjff/89bty4sWPHWlpaEkJMTEyA3AMDA8ePH//3339PmTJl1qxZM2bMmDp1akhIyIwZM6ZNmwabcO7cuQsXLly1atXq1avDwsLWrl27bt26devWbdiwYdu2bREREQcPHpwzZw4hhE6nz5079+DBgwcOHACl8uDBg4cOHQLV8tChQ8eOHYuLi4uPjz979uy5c+diY2MPHz4cGxubnJx85cqVpKSk8+fPX7p0KTExMSUlJTMzMzU1FeJyW7ZsefjwYXp6elZWVm5ubm5u7v379+/du3fnzp2CgoIXL17Am2/evAF9ubCwsKio6NWrV8+ePXv79u2bN28+fPjw/v17sF6Li4tDQ0MJIXv27CkrK/vy5QvsqLq6uq9fv1ZUVDCZzLKysuLi4urqajCT6+rqGhsb2Wx2fX09fIV3Wlpa4NvW1tZPnz5Bt2xhYWFwNXC53NbWVr5XEV5wuVxeO1DfnGX8RdXe0QY+gbdv31pYWIwePZrvXkcJaxQVFZmYmPj7++NWara2toJHCzffk8fjAc1BPgNWuhKPxwMd6JecTl25//wOdX8qNTsGDPhVU1NLTEx88ODBgwcP8vLycnNzHz9+/Ogb8vPzHz16BKbx06dPCwsLX79+DWfphw8fXr9+/fr166Kiovfv34Mb6/Pnz6WlpZMmTRISEoqKiqqpqQEzH07Lurq6+vr6xsbGxsbGhoYGFovV1NTU0NDAZrObmpr4Z2Zzc3NLS0trayu40qhvZyachxs3bvxpTkZXIgn8FZydnU0IsbS0xAovgmQOh7No0SJlZeXfbmP8o6D2hg0baDRaV2Lu/43t/vcDwHElJSXA9QYGBhBu/m8w6juZXRFOfYu5h4SEdD3fsyvb+/Xr14aGhuPGjYNQPlYOBofDgaKgLvLRT/8u3CgulwuJmZBahJgtHxYWRtqlkQouE3DkyBFgz0ePHmHJFBw9iD2h8NbQ0JDJZGLJBOKYOHFid1RqQsx97969P/3kL9Vo37p1ixBib2/f/pjtykL8UW80vpUEA4i6nu/ZlU3F4/G2bt0qLS2dkpLy0+vsJPjO/xFc7devX0H3VFJSgvSXH91DvuLZRQXq1atXRkZGwcHB/81YEgQfP340MzMbM2ZMV3TPrrMVj8cDmoPFgMVHbW1tQHPohjCE8qGeEpE9Dx06BOz5J9+zY0A3BENDQ8SRUrCjgoOD+RlLiE80NjaWdEOtUVZWFvmtbPnO/7W2trb169fT6XSs4Dj1jQV27NghISFx9epVAUW1j6dXVVWBY05RUbGLxPHTDwD/FhUVmZqaBgcH19bWIlZqvn//3sTEJDAwsCuVcl1kT1ASwXLH7anO4/EgjRS9dAL8b4jV6HCjDh48COyJ3qVXEPQg9oQzVl9fv7a2Fl2yiIjIxYsXccWeOXOGdEOtEeR72tnZdaXOvX1+XOfgcDgrV66Ul5fH3TBtbW0bN24UEhISULXnEwpf94R8TwkJCSziAPnv3r0zMTEZO3YsVloxP1vexMRk3Lhx6HXGwEfokxGWL19O8NIn+YsQsuWxxlPzAZoKIQS3nYKA6EHsCW5sXN0TMHv2bDExscTERFyx8fHxhJBNmzbhiuX7PbsSKOg6e7a2tq5du5ZGo2GVVPKxa9cuMTGx39Y9v7t+0BAZDAb0FhIREcFN8Xvz5o2Zmdm4ceMQHUQURb1//97U1NTHxwexUg70cWBP9Hk+oKyg5xSvXLmSdEMPY8gO/MOePwRE6wwMDKqrq3ElL1++vFevXufOncMVe/78+e7QPfPy8ggh/fr1647RwV0M7/wSdu7cKSUldf36dUSZFRUV0O+VRqPh1vu/fv3a1NTU398f95AG9hw+fDiuO5XL5S5atIh0Q98N0D3Rx3SD7ol+tVAVTQhBr3kRBD2IPWGV4EaNAAsWLBAREblw4QKu2EuXLhFCduzYgSsW/J79+/fHLekFv6eUlBSi3xOwa9cuYWHhhIQERJnV1dUQRRQVFcVVZN6+fWtqajpy5EjcQ/rz5899+/b19vZG7067du3a7uAjaOeBXjYOdaXowaiTJ08Ce/6p1OwY0FfVwMAA3e8JtUawvRGjRklJSYSQtWvXIsqkKOrBgwege6Kv7C1btkhKSqKzZ3h4uJCQ0KVLl7AE8ni8mpoamJAjLi6Om+r4+vVrY2PjSZMm4eqenz9/trCwGDNmDHqdMUSxcd0XPB4PHALoJjZc7W9nxf0IfPZEV5YFQQ9iT8j31NfXr6ysxJW8dOlSERERxB5L4Kq7ePFid/g9gT0HDBjwqyv7p11CNm7cKC0tjW65h4eHy8jIYDUAhP+iuroa2BMxagSAjKXp06fj9vf88OGDqalpQEAAbtSIy+XCSB/cm9DW1gaOMnRVDjRl9FA+v9YIfb6OIOhB7AndWQwMDKqqqnAlh4aGioqKIvZYAmXzwoULhJCtW7diiQVAlxBLS8tfVTd+mmu5du1aGRkZ3PFtPB5v+/bt4uLikO8pOKB8iMFgQE91MTExLLULePnNmzempqbjx4/HdRBBIpSPjw+iWKgdgPAOeqYO+D3RQ4ige6Jb7jExMcCegg+AQUQPYk+I1unr61dUVOBKXrhwobCwMESNEK3suLg4KHzEEggA3dPCwgI9MXjNmjXdMR0vIiJCVFQUS7WHB1RTUwP5v1JSUljRM5D84cMHMLFx/Z6QCBUQEIDenRbYE30xQHiHP6YbK/V127Zt3cFxp0+fBvZE9wkIgh7EnpCx1B1+z9WrVwsJCcXHx1Oo7JmcnNwduifE3AcMGIA7wpuiqM2bN0tKSiL22IebefToUTqdLmC2/HeAKUzg98Qtzvv48WO/fv38/Py6I2rk5eWF6xBoaWkBByU6e4Kphz5kDRpxokfGz549C+yJZeKgoAexJ1/3LC8vx5IJJyrEAWNjY7HEQk4ijA7esGEDllhAYWGhrKysqanprzbj6rwelMvlbtq0qTuiRgcOHJCTk7t48SLKyQT/BYvFghobdKP18+fPlpaWnp6euOxZXl5uZWU1ePDgmpoaRLHUNyUR3WIAByWiOxWePrTzQPd7gp33J2Pph9i4cSMhRFdXt7S0FFfyrl27SDeMDr58+TIhZN26dbgx96dPn0pISJiamkLBBmL/m82bN9NoNHSrat++fSIiIrjptPX19TDPh8+eP+qc9Kt4//593759x44di2viVFRUWFlZDR06FD3frvNu7b8N2BSIZAQPBca3oa8xiNB2h/9XEPQg9oTuyLq6usXFxbiSgZdPnjyJKxYGEK1atQpX7JMnT2g0mrm5ORhrWNTM4/E2bdokIyNz+/ZtLLFQXnngwAFJScnz588LLpBq1zceCrHJt4a4WOxZXFw8cODAkSNH4iqJFRUVAwYMQM+Wp76xJ6I2B09t06ZNhBB0QyQiIqI7KoISExNhMaBrtYKgB7En3HddXd2SkhJcyVu2bOkO9oS09hUrVvxSC6Wf4tmzZ3JyciYmJrhttCFbXkxMDLcoiKKo6OhoUVFRrGIEuJlsNhv8nsLCwmBdYt3k4uJia2trLy8vXMsd2NPNzQ29zhhWL7q3GhIEcb3VFEXt2bOnOzgOYgyEENyMEQHRg9gTJlJ0R6UmnN6nT5+mUC3327dvE0LWrFmD2KqHoqhnz57R6XRTU1P0WqPNmzeLi4ujd+r7999/xcTEsCx3YEkmkzlz5kxCiJCQEGQsYT240tJSGxsbd3f3iooKxMVQVVU1cOBAZ2dndMs9PDycn1qEeE6DqYcehIFdfPnyZVyxYOf9yff8IXbu3EkI0dHRQfd7gicbMWoE4LMnrtjnz5/Ly8sbGhqiF+ft3LlTSEgIuqUgEsfx48dpNFp8fPzvyeywSwiLxZo3b153lJeUlJTY2tr6+PhUVlYi3oTq6uqBAwfa2tqisyfsi4yMDAr1qYHljq4ktud6RFy9ehUWA9yHHoIexJ7R0dGEEG1tbZgxjQiwJk6cOIEr9v79+2C544p99eqVioqKvr4+Onvu2LGDEII+mTk6OlpSUvK3D6fv2BMqHevq6mBCNfnW7gxL7YKMJV9f36qqKhSjARitrKzMysrK1dWVzWYLLpOPtrY2oDn0HjcgFtEhAADdE11D5EeN0FevIOhB7Ll//35CiJaWVhfnd3cdcHofPXqUQj2909LSCCGhoaE/aur+e3j16pWysrKRkRF6k8SdO3eKiooK0kruOwoDpoOpCadOnUK4xG9k2tTUBPm/6AnSEDVycnJC93va2Nj07dsX0XKCtQrxAPA7IQLS2iHWh+h6gibw6A4Bvt8TvUuvIOhB7HngwAFgz650Bf4lgN+9KyM0fgn8mDuu3/Pp06d0Ol1fX/9XG+L+9GCIjIwUExNLTk4W4Oo6AEwowVXtm5uboRCbYJf9lZSUWFtbe3h4oHRH5t9zyPdEJ2Xqm5KIGN6Ba4ZgABELum0AABUdSURBVARhEN2pYLlDxhJ6R54/uucPAbqnpqZmN+me+/fvp1CfKLAnetTo0aNHdDrd2Nj4V/19P72MzZs382PuiPfh4MGDYmJiZ86cQZHGz1iCjoW9evWC3AOsC/748WP//v39/PxQMpb49/zr16/W1tZOTk7oMXfw2iPSHNxJ2G7oSiIcpeiacnp6OgzZxlpmKOhB7AmrRE9Pr6ysDFcysCc45tAt9zVr1iCmZFLfLHf0jCUejxceHk6j0QTMWOKP0ODv5NOnT9Pp9Li4uJ+2KWk/QLhDmXyxra2tq1ev5lvuvP+dM/zTK+zkw2VlZc7Ozg4ODljtFODKa2tr3d3d+/fvj657Hj16lG+x8n1Ev7fk2o/PA1OP37bxvwK7Prqu/SVBy/D2hsivyukQmZmZwJ5/LPeOAYOfdHR0Pn/+jCsZzkP0WiMoSF+6dOlPJxJ3ESDk48eP5ubmWlpafMv9p0olbIlO3K8gAcI7/LR2/hQ2vnz+ix/9O+13Av+/jo+Pl5GRiYmJ+e/V8kcVwZv8v8hrN3u9/TA4/mc4HA6fPbOysnjtZsa1v7b2V97+/Q6vH96sqKhwd3cfPHjw77Xygj/03dVSFMVgMFxcXBwcHEDsd303OuSm715DRyX++/wXQHOgJPL/zZ+utw7vEhwq8CMQC8Hx1tbW/543XVzS313SuXPnuiMJPzU1FdgTPUFVEPQg9oQmVBoaGoiTGOCJHj9+vIt+zx/x1Hfvw7e5ubkQNeJTwG9fZPuVCvPF+BlLP6LF9hsYLgA+xlfu+PuBT16HDh2Sk5Pjzxblf4D3v/Msv6Ok9rT13Rgl+PzZs2d79+4dHx8PP2q/Rdvfrvb40Sf5b3K5XGh+TrCL8xgMhqenJ3qHOjab7eHh4e7ujt7jBkb6dNjCqv2TgmXAP5A4HE5ra2tTU1NTU1NDQ0NLSwuHw2lsbGxsbGQymfX19RCMiomJaW1thXeqq6urqqpqamoqKiqqqqqqq6srKir+T3vnHg51+v7xZ0lyTiqH9utM5JJToks5RaettmtLSFvtXm3kammtaykkJAqVQ9jaTSq7tpQQ1WgjYeygMEvO4zAzSWO7KgwzmN8f96/5zqrUV1PzKc/rj7k+88z4zD3jc7+f5/M893PfDAajs7Ozp6fn8ePHVCq1vb29ra2NRqPRaLTOzk44aGlpaW5u7urq6urqgiD80NBQGo1GpVIrKiooFAqFQqmsrKRQKNXV1RUVFaWlpeXl5ffv3yeTyRQKpaKiorKykkwm37lzp7y8/O7du4WFhTk5Ofn5+WVlZSQS6cqVK5Cu8H3EHrwLBFJPWK3T0NBobW0V1jnBFaEgn9DnYhoaGsTFxYW+U5PBYJiYmGhrawt9S+8vv/wya9ascb03+NsE1dIHBweHhoaGh4eh5sTo6Ci0cDgcODhz5oyYmFhiYuLjx497enp6e3ufPXv25MmTf/75h8Vi0en0np4eBoNBp9PpdHpfXx94KZPJ7O3tZTAY3d3d7e3tNBqttbW1vb0djmtqarZu3QoOExsbW1VVde/evfLy8jt37pSUlBQXFxcWFlZVVZHJ5LKyspKSkvz8/Ly8vJs3b169erWgoCA3N/fatWtXr17NzMzMyMhIT0/PzMzMysq6ePFiUlKSvr6+nJxcZGRkUlJSXFxccnJyenp6YmLisWPH4uLiYmJioqOjo6Ojo6KiIiIioqOjw8LCDh486OfnFxAQEBAQ4OPj8/333/v6+np7e+/du3fPnj1+fn6urq4KCgoIodWrV2/fvn3Hjh0eHh4bN27cuHGji4vLtm3bNm/evGbNGnt7eycnp9WrV69cudLBwcHJycnW1tbZ2dnZ2dne3t7BwcHGxmbRokWWlpampqaLFy82MTGRlZWF+V8TExM9PT09PT0DAwNDQ0N9fX0VFRU1NTUNDQ0lJaW5c+eqqqrOnj1bQUFhzpw5KioqqqqqCgoKioqKioqK8vLy0tLScnJyEhIS06dPl5SUFBcXh9NKSkpK/Jtp06bxD/hISEiIi4tPmzbtlY9wICEhgV4A7Z999pnYv/nsBYLHAGyOgANA8BivuU8EzO8oKyvn5OQwmcxHjx719vb2vIDBYDAYDOj6wMfa2tqampra2to6OztbW1vb2toaGhpaWlrq6+tra2upVOqDBw+am5ubmppgedHHx6e6uvrevXtVVVX3798vKyu7e/funTt3ioqKSCQSiUQqLi7Oy8u7dOlSbm5uXl5eXl7exYsXs7KyLl++/Ntvv12+fPnSpUsXL17Mzc39448/cnNzg4KCEEIWFhYnT55MT08/ffr0qVOnjh8/fvr06ZMnT544cSIhISEmJubgwYOHDx+OjY0NCQkJDg6Oioo6cOCAv7//vn37AgICfH19fX19vby8PD09d+/e/d13333xxRdwoejo6Li5ubm4uLi6uq5bt87FxWX9+vXOzs7gdcCKFStWr17t7Oy8fPlyOzs7a2trMzMzExMTIyMjXV1dXV1dPT09XV1dMzMzTU1NuLglJCTU1NTmzZunqampqKg4c+ZMRUVFBQUFBQUFMTExGRkZGRkZhBD4GMJgCIO+vr7QC0+8CwRST4iWB+Tl5efOnauiojJnzpxZs2bJycnJycnJyMi83Bdh3iswQBg3xJg+ffqMGTMkJSVnvEBaWlpGRkZKSkpGRkZWVlZeXl5WVlZBQQEe5eXl5eXlZ75AXl4e/qEg3PAIKCkpzZw5c/bs2TCYUlZWVlZWhqcqKirKysrwOHv2bGVlZXiDmpqaqqoqjMLmzZunpqYGwy5VVdV5/0ZNTe0/AkCjurq6uro6tKirq2sKoKGhoaGhwT/W1NTU1tbW0dHR0tLS09PT0tLS1NTU19fX09PT1taeP3++jo6Ourq6mZmZjY2NmZmZqamphYUFDCEBWK2ytbVdunSpg4ODnZ3dunXrNmzYsG7duvXr169YsWLNmjVr1qxZv3792rVrv/rqK3d3d3d3961bt27atMnDw+Pbb7/95ptvPD09fX199+zZ4+3t7e3t7enpuWvXLm9vbx8fn507d3p6evr7+/v7+wcGBvr5+e3bty80NHT//v1+fn6hoaHBwcEhISF+fn6BgYGBgYFxcXGJiYkRERFxcXGpqamJiYmnT5++cOFCamrqr7/+mpKSkp6efubMmVOnTmVkZJw7dw4O0tPTz507B4OJgoKCoqKi27dvX7t2raCgoLCw8Pr169nZ2aWlpSQS6caNG3C7cPfu3dLS0srKyoqKitra2urq6urqaiqVWldXV1NTQ6VSm5qaaDRaU1NTQ0MDk8mk0+nwtLOzs729vbOzs6Ojg8lkCjd36rtDIPUsKCh4nQ+DA4uJiU2bNo3vtFJSUtLS0tLS0lJSUlJSUnJycuCofJ+Ul5eHWxgQYvAxcD91dfV58+aBw2hpaYH/6Orqampq6ujo6OjoaGtra2lp6evrGxgYzJ8/X1dX19jY2NDQ0MjIyMjIaOHChaampiYmJubm5ubm5hYCmJqampmZGRsbm5qaWlpaWllZWVpawnsWLVq0aNGiJUuWWFtbL1myxMrKysrKytra2tLS0traeunSpTY2Nra2tsuWLbO1tbWzs7O3t7e3t+cfw7SanZ2dnZ3dl19+uXnz5g0bNri6urq7u7u5ucEo1cXFxd3d/euvv/bw8NiyZYubm5u7u/v27du9vLy2bdvm6uq6a9cuHx+f3bt3//jjj15eXt7e3jD49ff337t3708//RQUFLR///7g4OADBw6EhYVFREQEBwcfPnz46NGjUVFR0dHRR44ciYuLS0lJSUhI+Pnnn5OTk5OSkk6dOgVulpaWlpGRcfny5czMzOzs7PPnz2dnZ2dlZcFo/erVq7m5uVlZWZmZmb///nteXt7169fz8/Nv3rxJIpEKCwtLSkoKCgpKS0uLi4spFEpNTU1tbS2ZTC4uLq6rq6utrf37779ra2srKipqamru3btXW1sLblZfX9/a2trR0dHW1lZXV9fY2Njc3Nzd3d3Z2dnV1dXR0QE3KDB/19PT8/Dhw66urtbWVv5MQm9v75MnT4aGhoaGhgYGBoaGhp49e/b06VM2mz04OPj8+XM2mz08PDwyMgJTivBOLpcLx1wuF6YU4WKGeUYejzcyMsLhcHj/nqdms9mCV/7Ea0oYwkIg9ezv709JSQkKCgoICAgLC4uNjY2IiDh06FBUVNSRI0diYmKOHj167Nix5OTk1NTU1NTUn18AT8+ePXvu3Ln09PTz58+fPXv2zJkzaWlpV65cycvLy8rKysnJycvLy87OBmcmkUj5+fmFhYW3b98uKSkpLCy8ceMGeCmZTC59QVVVVXV19V9//VVeXt7Y2AgTAlQqtbGxsb29HdwVps+7u7vpdHp3d3dLS0tLS0tDQ0NrayuTyYQ5BxqNBnPq3d3d4KiPHz9+9OjRw4cPe3t7YWYQ5gr7+/ufP3/O91Xw5MHBQQ6HAw45MDDQ398P6zmwVDo2Ngbt/Fq4sG7AX4ziL9EMDg4KuuXw8DCHwxFcCBJu4Oo43jLq6HXL5W9v21vGNo2NjYGu/a/GvCMTRPC8TkYnETkkGBkGF8kEn/JKq175g8M/YgJ7ppTuE0g9+bzyH/BeHft98zrjJ3epvS4073XBgC8/fdlPxnnpBBE//6vZ/JOPi/XhCfi5oAGCkQOv/NAJ1EeQN2ro25xnXIzB2yDcC/Utv+wEf87hcNhsNvyq8DvDcJjD4UwppXsfEFE9X4lo/9PjfP6NevTGbvwtxxRv+a3feLZxYUavs/9t9PHd/fmVnz7uoyf+lLcxQCgXzDt+WZEDPZNgUC0AvcJH/dWIwEejnhhgEqMh3uulZNwATbhpnjGYTxusnph3YnJqjnkjXV1dN2/erKurE+zSmpubSSRSfX097ueIAFZPojDBfPy4Wf9PmNd9U7jfnFKSUVRUBAEn/D1ysLcNIRQXFyda2zAAVk+iwOVy4+LiwsLCBBPWFhUVHTp0KDIyUrgpRAlLSUlJSEhIfHy8YExPf39/eHh4ZGSk0GuaE5zjx48jhKSkpBobG3k83qxZsxBC27dvH9fBkMnk5ubmKdW1EASsngQCKvkoKSlBhlMajaapqYkQ2rRpk6hN+0BQqVQYXsXExPAbIdGnjIyM0FMXEpy+vr6VK1cihHbt2gV1AV7O38hmsxFCa9euFXodecwbwepJLHR0dBBCW7du5fF4UNhHTU0N4q6nCFCtbMGCBR0dHTwer6GhQVFRESGUkZEhatNEQH5+Pnx9MTExhNCJEydefg9CyMbGZnBw8MObN8XB6kksKioqYPi5ZcsWNTU1hJDQCwgTH319fYTQ/v37eTyeu7s7qIOojRIZAQEBMB5fu3Ytv5HNZpNIpJycnKysLISQoaHhhQsXsrOzKysrp8gUORHA6kk4+LUkEUI7duyYgivasGBiaGgYHBysrKyMEKLT6aI2SmQcOnQI0jts2LCB38hgMHR1dRFC06dPh0sFUsB4eHi8cQMVRlhg9SQcfX19BgYGCCEdHR24e52CQFmOl+dAicn7C9uqqqrS1tbmZ2zh16Tq7e1dtWrVggULjI2NYWXJyMhIT09P6DUKMROA1ZNwNDc3z5gxAyEkKSkpWJSYy+VC8tq+vj6hp+AlGi0tLRoaGjACHTejNzAwwGKxIHnos2fPRGUhn7EXCQeEfmY2mw3pCp2cnCDbqYqKyssp2hBCjo6OQv90zBvB6kksuFzu4sWLEUIgoKampnyhhBku/m2aaO1834yMjPzwww8IoWPHjo17aceOHfzf4dOeD01LS0MIiYuLQ8SStLQ0QsjHx0fwPYODgwghc3NzoddTwrwRrJ7EAuol6Ovrx8fHm5qaIoRCQ0PhJQqFYm5u7ujouGzZMliU/4QZGhravXs3QigyMnLcSykpKVZWVo6OjjY2NgcPHhSJeR+A+vp6iFcLCgqChSAokSArK5udnc1/2/Dw8MqVKyMiIoiW+3IqgNWTQDCZTFgfCA8P5/F4J06cgBFWU1MTj8fjcrksFgsqXgi97C3RmEA9BwcHYe6ir6/vU5UMLpcLS+1OTk6CK2Zw/+7i4vLw4UMRmocBsHoSiOXLlyOELCwsYKfN8PCwo6Mj3L+L2rQPDZvNhr0D0JFMNbhcLplM/vPPP2k0mmA7i8W6detWWVnZJ999fhRg9SQKmZmZUB+CQqHwG2tqagwMDObMmSNYIHsqMDQ0FBwcLCkpmZSUhAMYMcQEqydRgEzyL28r4nA4r2z/5BkZGWGz2VMw3BXzsYDVE4PBYCYDVk8MBoOZDFg9MRgMZjJg9cRgCMfY2BiLxerr63t5CxOLxWKxWHgzOxHA6onBEI7h4eGQkBBzc/PIyMiBgQF++/nz5y0sLLy8vLq6ukRoHgbA6kkUenp6oDT8uHY6nU6j0RgMhkiswogK/sbc4uJiaHn+/LmUlBRCKDAwULS2YQCsnkQhKytrxowZMjIypaWl/EYKhQIp2i5cuCBC2zAfHi6X6+XlBYnpIE8K5J2ysrL65HPEfCxg9SQQtra2CCFjY2N+i52dHSRaF6FVGFFBpVLnz5+PELp9+/bo6ChCSE5OLjc3V9R2Yf4frJ7EAm7W4uPjeTxeWloa5L79VHdzY95IbGwsQsjIyGjp0qWww13UFmH+C1ZPYpGQkIAQMjMza2hocHBwmLIbvd8fH1cBejabvWrVKuhTlZWVnz59KmqLMP8FqyfhWLhwIULIwMBATEzMwMAADzyFy8jIyMdVvDcnJ0dWVpZ/RyJIcnJyfHx8QkJCSkrKgwcPRGLeVAarJ+EoLS3lZ/+9du2aqM3BiBgWi/X5558jhF6OUkICJCUlicS8qQxWT8LB4XB27tyJEHJzc+vv7xd8KTs728bGZsWKFQ4ODr6+vqKyEPMhYTKZUF21ubl53EvR0dHh4eHh4eHR0dF1dXUiMW8qg9WTcIyNjYWHhyOE/Pz8xlX4CgsL4481NDQ0RGQg5oMygXqOjo6OvUAktk1xsHoSjtHR0dDQUISQr6/vuA153d3dJBKpqKjo1q1b1dXVorIQ8yGh0+lKSkoIIahuhCEOWD0Jx+jo6IEDB6D+F97OjOnr6/P09HR2dmYymaK2BfMvsHoSjpGREbhD9/Pzm4JJkTGYjwWsnoRjbGysrKwsNDS0qKjo44qtwWCmFFg9MRgMZjJg9cRgMJjJgNUTg8FgJgNWTwwGg5kM/wcE7DGluREyUwAAAABJRU5ErkJggg==&quot; style=&quot;margin-left: auto; margin-right: auto;&quot; width=&quot;320&quot; /&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;tr-caption&quot; style=&quot;text-align: center;&quot;&gt;Fig. 3 The quadrants formed when the X and Y axes cross are used to accurately locate&lt;br /&gt;
points from the XY zero, or origin, point. (Allen-Bradley)&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Source : &lt;i&gt;Computer Numerical Control Programming Basics&lt;/i&gt; / Steve Krar, Arthur Gill.&lt;/b&gt;&lt;br /&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;span id=&quot;goog_2069137194&quot;&gt;&lt;/span&gt;&lt;span id=&quot;goog_2069137195&quot;&gt;&lt;/span&gt;&lt;br /&gt;
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&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://cncmasters.blogspot.com/feeds/8563125874282874821/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://cncmasters.blogspot.com/2011/12/basic-cnc-programming-part-1.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default/8563125874282874821'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default/8563125874282874821'/><link rel='alternate' type='text/html' href='http://cncmasters.blogspot.com/2011/12/basic-cnc-programming-part-1.html' title='Basic CNC Programming  (Part 1)'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-8227486216556533230.post-8594450356401889764</id><published>2011-12-26T04:52:00.000+07:00</published><updated>2011-12-26T04:56:18.502+07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="CNC"/><title type='text'>CNC History (end)</title><content type='html'>&lt;h3 style=&quot;text-align: justify;&quot;&gt;

&lt;span class=&quot;mw-headline&quot; id=&quot;CNC_arrives&quot;&gt;CNC arrives&lt;/span&gt;&lt;/h3&gt;
&lt;div&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Many of the commands for the experimental parts were programmed &quot;by 
hand&quot; to produce the punch tapes that were used as input. During the 
development of &lt;a href=&quot;http://en.wikipedia.org/wiki/Whirlwind_%28computer%29&quot; title=&quot;Whirlwind (computer)&quot;&gt;Whirlwind&lt;/a&gt;,
 MIT&#39;s real-time computer, John Runyon coded a number of subroutines to 
produce these tapes under computer control. Users could enter a list of 
points and speeds, and the program would calculate the points needed and
 automatically generate the punch tape. In one instance, this process 
reduced the time required to produce the instruction list and mill the 
part from 8 hours to 15 minutes. This led to a proposal to the Air Force
 to produce a generalized &quot;programming&quot; language for numerical control, 
which was accepted in June 1956.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-origins_8-2&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-origins-8&quot;&gt;&lt;/a&gt;&lt;/sup&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Starting in September, Ross and Pople outlined a language for machine
 control that was based on points and lines, developing this over 
several years into the &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/APT_programming_language&quot; title=&quot;APT programming language&quot;&gt;APT programming language&lt;/a&gt;. In 1957 the &lt;a href=&quot;http://en.wikipedia.org/wiki/Aerospace_Industries_Association&quot; title=&quot;Aerospace Industries Association&quot;&gt;Aircraft Industries Association&lt;/a&gt; (AIA) and &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Air_Material_Command&quot; title=&quot;Air Material Command&quot;&gt;Air Material Command&lt;/a&gt; at &lt;a href=&quot;http://en.wikipedia.org/wiki/Wright-Patterson_Air_Force_Base&quot; title=&quot;Wright-Patterson Air Force Base&quot;&gt;Wright-Patterson Air Force Base&lt;/a&gt;
 joined with MIT to standardize this work and produce a fully 
computer-controlled NC system. On 25 February 1959 the combined team 
held a press conference showing the results, including a 3D machined 
aluminum ash tray that was handed out in the &lt;a href=&quot;http://en.wikipedia.org/wiki/Press_kit&quot; title=&quot;Press kit&quot;&gt;press kit&lt;/a&gt;.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-origins_8-3&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-origins-8&quot;&gt;&lt;/a&gt;&lt;/sup&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Meanwhile, &lt;a class=&quot;new&quot; href=&quot;http://en.wikipedia.org/w/index.php?title=Patrick_Hanratty&amp;amp;action=edit&amp;amp;redlink=1&quot; title=&quot;Patrick Hanratty (page does not exist)&quot;&gt;Patrick Hanratty&lt;/a&gt;
 was making similar developments at GE as part of their partnership with
 G&amp;amp;L on the Numericord. His language, PRONTO, beat APT into 
commercial use when it was released in 1958.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-11&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-11&quot;&gt;&lt;/a&gt;&lt;/sup&gt; Hanratty then went on to develop &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/MICR&quot; title=&quot;MICR&quot;&gt;MICR&lt;/a&gt; magnetic ink characters that were used in cheque processing, before moving to General Motors to work on the groundbreaking &lt;a href=&quot;http://en.wikipedia.org/wiki/DAC-1&quot; title=&quot;DAC-1&quot;&gt;DAC-1&lt;/a&gt; CAD system.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
APT was soon extended to include &quot;real&quot; curves in 2D-APT-II. With its
 release, MIT reduced its focus on NC as it moved into CAD experiments. 
APT development was picked up with the AIA in San Diego, and in 1962, by
 Illinois Institute of Technology Research. Work on making APT an 
international standard started in 1963 under USASI X3.4.7, but many 
manufacturers of NC machines had their own one-off additions (like 
PRONTO), so standardization was not completed until 1968, when there 
were 25 optional add-ins to the basic system.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-origins_8-4&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-origins-8&quot;&gt;&lt;/a&gt;&lt;/sup&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Just as APT was being released in the early 1960s, a second 
generation of lower-cost transistorized computers was hitting the market
 that were able to process much larger volumes of information in 
production settings. This reduced the cost of programming for NC 
machines and by the mid 1960s, APT runs accounted for a third of all 
computer time at large aviation firms.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;h3 style=&quot;text-align: justify;&quot;&gt;

&lt;span class=&quot;editsection&quot;&gt;&lt;/span&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;CAD_meets_CNC&quot;&gt;CAD meets CNC&lt;/span&gt;&lt;/h3&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div class=&quot;thumb tright&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;div class=&quot;thumbinner&quot; style=&quot;width: 222px;&quot;&gt;
&lt;a class=&quot;image&quot; href=&quot;http://en.wikipedia.org/wiki/File:Cnc-nichols.jpg&quot;&gt;&lt;img alt=&quot;&quot; class=&quot;thumbimage&quot; height=&quot;179&quot; src=&quot;http://upload.wikimedia.org/wikipedia/commons/thumb/4/40/Cnc-nichols.jpg/220px-Cnc-nichols.jpg&quot; width=&quot;220&quot; /&gt;&lt;/a&gt;
&lt;br /&gt;
&lt;div class=&quot;thumbcaption&quot;&gt;
&lt;div class=&quot;magnify&quot;&gt;
&lt;a class=&quot;internal&quot; href=&quot;http://en.wikipedia.org/wiki/File:Cnc-nichols.jpg&quot; title=&quot;Enlarge&quot;&gt;&lt;img alt=&quot;&quot; height=&quot;11&quot; src=&quot;http://bits.wikimedia.org/skins-1.18/common/images/magnify-clip.png&quot; width=&quot;15&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
CAD CNC example.&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
While the Servomechanisms Lab was in the process of developing their 
first mill, in 1953, MIT&#39;s Mechanical Engineering Department dropped the
 requirement that undergraduates take courses in drawing. The 
instructors formerly teaching these programs were merged into the Design
 Division, where an informal discussion of computerized design started. 
Meanwhile the Electronic Systems Laboratory, the newly rechristened 
Servomechanisms Laboratory, had been discussing whether or not design 
would ever start with paper diagrams in the future.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-Weisbergpp3-9_12-0&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-Weisbergpp3-9-12&quot;&gt;&lt;/a&gt;&lt;/sup&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
In January 1959, an informal meeting was held involving individuals 
from both the Electronic Systems Laboratory and the Mechanical 
Engineering Department&#39;s Design Division. Formal meetings followed in 
April and May, which resulted in the &quot;Computer-Aided Design Project&quot;. In
 December 1959, the Air Force issued a one year contract to ESL for 
$223,000 to fund the project, including $20,800 earmarked for 104 hours 
of computer time at $200 per hour.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-Weisbergpp3-10_13-0&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-Weisbergpp3-10-13&quot;&gt;&lt;/a&gt;&lt;/sup&gt; This proved to be far too little for the ambitious program they had in mind, although their engineering calculation system, &lt;a class=&quot;new&quot; href=&quot;http://en.wikipedia.org/w/index.php?title=Automated_Engineering_Design&amp;amp;action=edit&amp;amp;redlink=1&quot; title=&quot;Automated Engineering Design (page does not exist)&quot;&gt;AED&lt;/a&gt;, was released in March 1965.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
In 1959, General Motors started an experimental project to digitize, 
store and print the many design sketches being generated in the various 
GM design departments. When the basic concept demonstrated that it could
 work, they started the DAC-1 project with IBM to develop a production 
version. One part of the DAC project was the direct conversion of paper 
diagrams into 3D models, which were then converted into APT commands and
 cut on milling machines. In November 1963 a design for the lid of a 
trunk moved from 2D paper sketch to 3D clay prototype for the first 
time.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-14&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-14&quot;&gt;&lt;/a&gt;&lt;/sup&gt; With the exception of the initial sketch, the design-to-production loop had been closed.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Meanwhile, MIT&#39;s offsite &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Lincoln_Labs&quot; title=&quot;Lincoln Labs&quot;&gt;Lincoln Labs&lt;/a&gt;
 was building computers to test new transistorized designs. The ultimate
 goal was essentially a transistorized Whirlwind known as &lt;a href=&quot;http://en.wikipedia.org/wiki/TX-2&quot; title=&quot;TX-2&quot;&gt;TX-2&lt;/a&gt;, but in order to test various circuit designs a smaller version known as &lt;a href=&quot;http://en.wikipedia.org/wiki/TX-0&quot; title=&quot;TX-0&quot;&gt;TX-0&lt;/a&gt;
 was built first. When construction of TX-2 started, time in TX-0 freed 
up and this led to a number of experiments involving interactive input 
and use of the machine&#39;s &lt;a href=&quot;http://en.wikipedia.org/wiki/Cathode_ray_tube&quot; title=&quot;Cathode ray tube&quot;&gt;CRT&lt;/a&gt; display for graphics. Further development of these concepts led to &lt;a href=&quot;http://en.wikipedia.org/wiki/Ivan_Sutherland&quot; title=&quot;Ivan Sutherland&quot;&gt;Ivan Sutherland&lt;/a&gt;&#39;s groundbreaking &lt;a href=&quot;http://en.wikipedia.org/wiki/Sketchpad&quot; title=&quot;Sketchpad&quot;&gt;Sketchpad&lt;/a&gt; program on the TX-2.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Sutherland moved to the &lt;a href=&quot;http://en.wikipedia.org/wiki/University_of_Utah&quot; title=&quot;University of Utah&quot;&gt;University of Utah&lt;/a&gt; after his Sketchpad work, but it inspired other MIT graduates to attempt the first true CAD system. It was &lt;a href=&quot;http://en.wikipedia.org/wiki/Digigraphics&quot; title=&quot;Digigraphics&quot;&gt;Electronic Drafting Machine&lt;/a&gt; (EDM), sold to &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Control_Data&quot; title=&quot;Control Data&quot;&gt;Control Data&lt;/a&gt; and known as &quot;Digigraphics&quot;, which Lockheed used to build production parts for the &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/C-5_Galaxy&quot; title=&quot;C-5 Galaxy&quot;&gt;C-5 Galaxy&lt;/a&gt;, the first example of an end-to-end CAD/CNC production system.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
By 1970 there were a wide variety of CAD firms including &lt;a href=&quot;http://en.wikipedia.org/wiki/Intergraph&quot; title=&quot;Intergraph&quot;&gt;Intergraph&lt;/a&gt;, &lt;a href=&quot;http://en.wikipedia.org/wiki/Applicon&quot; title=&quot;Applicon&quot;&gt;Applicon&lt;/a&gt;, &lt;a href=&quot;http://en.wikipedia.org/wiki/Computervision&quot; title=&quot;Computervision&quot;&gt;Computervision&lt;/a&gt;, &lt;a class=&quot;new&quot; href=&quot;http://en.wikipedia.org/w/index.php?title=Auto-trol_Technology&amp;amp;action=edit&amp;amp;redlink=1&quot; title=&quot;Auto-trol Technology (page does not exist)&quot;&gt;Auto-trol Technology&lt;/a&gt;, &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/UGS_Corp.&quot; title=&quot;UGS Corp.&quot;&gt;UGS Corp.&lt;/a&gt; and others, as well as large vendors like CDC and IBM.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;h3 style=&quot;text-align: justify;&quot;&gt;

&lt;span class=&quot;editsection&quot;&gt;&lt;/span&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;Proliferation_of_CNC&quot;&gt;Proliferation of CNC&lt;/span&gt;&lt;/h3&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
The price of computer cycles fell drastically during the 1960s with the widespread introduction of useful &lt;a href=&quot;http://en.wikipedia.org/wiki/Minicomputer&quot; title=&quot;Minicomputer&quot;&gt;minicomputers&lt;/a&gt;.
 Eventually it became less expensive to handle the motor control and 
feedback with a computer program than it was with dedicated servo 
systems. Small computers were dedicated to a single mill, placing the 
entire process in a small box. &lt;a href=&quot;http://en.wikipedia.org/wiki/PDP-8&quot; title=&quot;PDP-8&quot;&gt;PDP-8&lt;/a&gt;&#39;s and &lt;a href=&quot;http://en.wikipedia.org/wiki/Data_General_Nova&quot; title=&quot;Data General Nova&quot;&gt;Data General Nova&lt;/a&gt; computers were common in these roles. The introduction of the &lt;a href=&quot;http://en.wikipedia.org/wiki/Microprocessor&quot; title=&quot;Microprocessor&quot;&gt;microprocessor&lt;/a&gt;
 in the 1970s further reduced the cost of implementation, and today 
almost all CNC machines use some form of microprocessor to handle all 
operations.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
The introduction of lower-cost CNC machines radically changed the 
manufacturing industry. Curves are as easy to cut as straight lines, 
complex 3-D structures are relatively easy to produce, and the number of
 machining steps that required human action have been dramatically 
reduced. With the increased automation of manufacturing processes with 
CNC machining, considerable improvements in consistency and quality have
 been achieved with no strain on the operator. CNC automation reduced 
the frequency of errors and provided CNC operators with time to perform 
additional tasks. CNC automation also allows for more flexibility in the
 way parts are held in the manufacturing process and the time required 
changing the machine to produce different components.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
During the early 1970s the Western economies were mired in slow 
economic growth and rising employment costs, and NC machines started to 
become more attractive. The major U.S. vendors were slow to respond to 
the demand for machines suitable for lower-cost NC systems, and into 
this void stepped the Germans. In 1979, sales of German machines 
surpassed the U.S. designs for the first time. This cycle quickly 
repeated itself, and by 1980 Japan had taken a leadership position, U.S.
 sales dropping all the time. Once sitting in the #1 position in terms 
of sales on a top-ten chart consisting entirely of U.S. companies in 
1971, by 1987 Cincinnati Milacron was in 8th place on a chart heavily 
dominated by Japanese firms.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-r_15-0&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-r-15&quot;&gt;&lt;/a&gt;&lt;/sup&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Many researchers have commented that the U.S. focus on high-end 
applications left them in an uncompetitive situation when the economic 
downturn in the early 1970s led to greatly increased demand for low-cost
 NC systems. Unlike the U.S. companies, who had focused on the highly 
profitable aerospace market, German and Japanese manufacturers targeted 
lower-profit segments from the start and were able to enter the low-cost
 markets much more easily.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-r_15-1&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-r-15&quot;&gt;&lt;/a&gt;&lt;/sup&gt;&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-Holland1989_16-0&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-Holland1989-16&quot;&gt;&lt;/a&gt;&lt;/sup&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
As computing and networking evolved, so did &lt;a href=&quot;http://en.wikipedia.org/wiki/Direct_numerical_control&quot; title=&quot;Direct numerical control&quot;&gt;direct numerical control&lt;/a&gt;
 (DNC). Its long-term coexistence with less networked variants of NC and
 CNC is explained by the fact that individual firms tend to stick with 
whatever is profitable, and their time and money for trying out 
alternatives is limited. This explains why machine tool models and tape 
storage media persist in grandfathered fashion even as the state of the 
art advances.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;h3 style=&quot;text-align: justify;&quot;&gt;

&lt;span class=&quot;editsection&quot;&gt;&lt;/span&gt; &lt;span class=&quot;mw-headline&quot; id=&quot;DIY.2C_hobby.2C_and_personal_CNC&quot;&gt;DIY, hobby, and personal CNC&lt;/span&gt;&lt;/h3&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Recent developments in small scale CNC have been enabled, in large part, by the &lt;a href=&quot;http://en.wikipedia.org/wiki/Enhanced_Machine_Controller&quot; title=&quot;Enhanced Machine Controller&quot;&gt;Enhanced Machine Controller&lt;/a&gt; project from the &lt;a href=&quot;http://en.wikipedia.org/wiki/National_Institute_of_Standards_and_Technology&quot; title=&quot;National Institute of Standards and Technology&quot;&gt;National Institute of Standards and Technology&lt;/a&gt; (NIST), an agency of the US Government&#39;s Department of Commerce. EMC is a public domain program operating under the &lt;a href=&quot;http://en.wikipedia.org/wiki/Linux&quot; title=&quot;Linux&quot;&gt;Linux&lt;/a&gt; operating system and working on PC based hardware. After the NIST project ended, development continued, leading to &lt;a class=&quot;external text&quot; href=&quot;http://www.linuxcnc.org/&quot; rel=&quot;nofollow&quot;&gt;EMC2&lt;/a&gt; which is licensed under the GNU &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/General_Public_License&quot; title=&quot;General Public License&quot;&gt;General Public License&lt;/a&gt;
 and Lesser GNU General Public License (GPL and LGPL). Derivations of 
the original EMC software have also led to several proprietary PC based 
programs notably TurboCNC, and Mach3, as well as embedded systems based 
on proprietary hardware. The availability of these PC based control 
programs has led to the development of &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/DIY&quot; title=&quot;DIY&quot;&gt;DIY&lt;/a&gt; CNC, allowing hobbyists to build their own &lt;sup class=&quot;reference&quot; id=&quot;cite_ref-17&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-17&quot;&gt;[18]&lt;/a&gt;&lt;/sup&gt;&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-18&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-18&quot;&gt;[19]&lt;/a&gt;&lt;/sup&gt; using &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Open_source_hardware&quot; title=&quot;Open source hardware&quot;&gt;open source hardware&lt;/a&gt;
 designs. The same basic architecture has allowed manufacturers, such as
 Sherline and Taig, to produce turnkey lightweight desktop milling 
machines for hobbyists.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
The easy availability of PC based software and support information of
 Mach3, written by Art Fenerty, lets anyone with some time and technical
 expertise make complex parts for home and prototype use. Fenerty is 
considered a principal founder of Windows-based PC CNC machining.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-CNCzone_Fenerty_retires_19-0&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-CNCzone_Fenerty_retires-19&quot;&gt;&lt;/a&gt;&lt;/sup&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Eventually, the homebrew architecture was fully commercialized and 
used to create larger machinery suitable for commercial and industrial 
applications. This class of equipment has been referred to as Personal 
CNC. Parallel to the evolution of personal computers, Personal CNC has 
its roots in EMC and PC based control, but has evolved to the point 
where it can replace larger conventional equipment in many instances. As
 with the &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Personal_Computer&quot; title=&quot;Personal Computer&quot;&gt;Personal Computer&lt;/a&gt;,
 Personal CNC is characterized by equipment whose size, capabilities, 
and original sales price make it useful for individuals, and which is 
intended to be operated directly by an end user, often without 
professional training in CNC technology.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;h3 style=&quot;text-align: justify;&quot;&gt;

&lt;span class=&quot;editsection&quot;&gt;&lt;/span&gt; &lt;span class=&quot;mw-headline&quot; id=&quot;Today&quot;&gt;Today&lt;/span&gt;&lt;/h3&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Although modern data storage techniques have moved on from punch tape
 in almost every other role, tapes are still relatively common in CNC 
systems. Several reasons explain this. One is easy &lt;a href=&quot;http://en.wikipedia.org/wiki/Backward_compatibility&quot; title=&quot;Backward compatibility&quot;&gt;backward compatibility&lt;/a&gt;
 of existing programs. Companies were spared the trouble of re-writing 
existing tapes into a new format. Another is the principle, mentioned 
earlier, that individual firms tend to stick with whatever is 
profitable, and their time and money for trying out alternatives is 
limited. A small firm that has found a profitable niche may keep older 
equipment in service for years because &quot;&lt;a class=&quot;extiw&quot; href=&quot;http://en.wiktionary.org/wiki/if_it_ain%27t_broke,_don%27t_fix_it&quot; title=&quot;wikt:if it ain&#39;t broke, don&#39;t fix it&quot;&gt;if it ain&#39;t broke&lt;/a&gt; [profitability-wise], don&#39;t fix it.&quot; &lt;a href=&quot;http://en.wikipedia.org/wiki/Competition_%28economics%29&quot; title=&quot;Competition (economics)&quot;&gt;Competition&lt;/a&gt;
 places natural limits on that approach, as some amount of innovation 
and continuous improvement eventually becomes necessary, lest 
competitors be the ones who find the way to the &quot;better mousetrap&quot;.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
One change that was implemented fairly widely was the switch from paper to &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Mylar&quot; title=&quot;Mylar&quot;&gt;mylar&lt;/a&gt; tapes, which are much more mechanically robust. &lt;a href=&quot;http://en.wikipedia.org/wiki/Floppy_disk&quot; title=&quot;Floppy disk&quot;&gt;Floppy disks&lt;/a&gt;, &lt;a href=&quot;http://en.wikipedia.org/wiki/USB_flash_drive&quot; title=&quot;USB flash drive&quot;&gt;USB flash drives&lt;/a&gt; and &lt;a href=&quot;http://en.wikipedia.org/wiki/Local_area_network&quot; title=&quot;Local area network&quot;&gt;local area networking&lt;/a&gt; have replaced the tapes to some degree, especially in larger environments that are highly integrated.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
The proliferation of CNC led to the need for new CNC standards that 
were not encumbered by licensing or particular design concepts, like 
APT. A number of different &quot;standards&quot; proliferated for a time, often 
based around &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Vector_graphics_markup_language&quot; title=&quot;Vector graphics markup language&quot;&gt;vector graphics markup languages&lt;/a&gt; supported by &lt;a href=&quot;http://en.wikipedia.org/wiki/Plotter&quot; title=&quot;Plotter&quot;&gt;plotters&lt;/a&gt;. One such standard has since become very common, the &quot;&lt;a href=&quot;http://en.wikipedia.org/wiki/G-code&quot; title=&quot;G-code&quot;&gt;G-code&lt;/a&gt;&quot; that was originally used on &lt;a href=&quot;http://en.wikipedia.org/wiki/Gerber_Scientific&quot; title=&quot;Gerber Scientific&quot;&gt;Gerber Scientific&lt;/a&gt; plotters and then adapted for CNC use. The file format became so widely used that it has been embodied in an &lt;a href=&quot;http://en.wikipedia.org/wiki/Electronic_Industries_Alliance&quot; title=&quot;Electronic Industries Alliance&quot;&gt;EIA&lt;/a&gt; standard. In turn, while G-code is the predominant language used by CNC machines today, there is a push to supplant it with &lt;a href=&quot;http://en.wikipedia.org/wiki/STEP-NC&quot; title=&quot;STEP-NC&quot;&gt;STEP-NC&lt;/a&gt;, a system that was deliberately designed for CNC, rather than grown from an existing plotter standard.&lt;sup class=&quot;Template-Fact&quot; style=&quot;white-space: nowrap;&quot;&gt;[&lt;i&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Wikipedia:Citation_needed&quot; title=&quot;Wikipedia:Citation needed&quot;&gt;&lt;span title=&quot;This claim needs references to reliable sources from September 2009&quot;&gt;citation needed&lt;/span&gt;&lt;/a&gt;&lt;/i&gt;]&lt;/sup&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
While G-code is the most common method of programming, some 
machine-tool/control manufacturers also have invented their own 
proprietary &quot;conversational&quot; methods of programming, trying to make it 
easier to program simple parts and make set-up and modifications at the 
machine easier (such as Mazak&#39;s Mazatrol and Hurco). These have met with
 varying success.&lt;sup class=&quot;Template-Fact&quot; style=&quot;white-space: nowrap;&quot;&gt;[&lt;i&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Wikipedia:Citation_needed&quot; title=&quot;Wikipedia:Citation needed&quot;&gt;&lt;span title=&quot;This claim needs references to reliable sources from September 2009&quot;&gt;citation needed&lt;/span&gt;&lt;/a&gt;&lt;/i&gt;]&lt;/sup&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
A more recent advancement in CNC interpreters is support of logical 
commands, known as parametric programming (also known as macro 
programming). Parametric programs include both device commands as well 
as a control language similar to &lt;a href=&quot;http://en.wikipedia.org/wiki/BASIC&quot; title=&quot;BASIC&quot;&gt;BASIC&lt;/a&gt;.
 The programmer can make if/then/else statements, loops, subprogram 
calls, perform various arithmetic, and manipulate variables to create a 
large degree of freedom within one program. An entire product line of 
different sizes can be programmed using logic and simple math to create 
and scale an entire range of parts, or create a stock part that can be 
scaled to any size a customer demands.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Since about 2006, the idea has been suggested and pursued to foster 
the convergence with CNC and DNC of several trends elsewhere in the 
world of information technology that have not yet much affected CNC and 
DNC. One of these trends is the combination of greater data collection 
(more sensors), greater and more automated &lt;a href=&quot;http://en.wikipedia.org/wiki/Data_exchange&quot; title=&quot;Data exchange&quot;&gt;data exchange&lt;/a&gt; (via building new, &lt;a href=&quot;http://en.wikipedia.org/wiki/Open_source&quot; title=&quot;Open source&quot;&gt;open&lt;/a&gt; industry-standard &lt;a href=&quot;http://en.wikipedia.org/wiki/XML_schema&quot; title=&quot;XML schema&quot;&gt;XML schemas&lt;/a&gt;), and &lt;a href=&quot;http://en.wikipedia.org/wiki/Data_mining&quot; title=&quot;Data mining&quot;&gt;data mining&lt;/a&gt; to yield a new level of &lt;a href=&quot;http://en.wikipedia.org/wiki/Business_intelligence&quot; title=&quot;Business intelligence&quot;&gt;business intelligence&lt;/a&gt; and workflow automation in manufacturing. Another of these trends is the emergence of widely published &lt;a href=&quot;http://en.wikipedia.org/wiki/Application_programming_interface&quot; title=&quot;Application programming interface&quot;&gt;APIs&lt;/a&gt; together with the aforementioned open data standards to encourage an ecosystem of user-generated apps and &lt;a href=&quot;http://en.wikipedia.org/wiki/Mashup_%28web_application_hybrid%29&quot; title=&quot;Mashup (web application hybrid)&quot;&gt;mashups&lt;/a&gt;,
 which can be both open and commercial—in other words, taking the new IT
 culture of app marketplaces that began in web development and 
smartphone app development and spreading it to CNC, DNC, and the other 
factory automation systems that are networked with the CNC/DNC. &lt;a href=&quot;http://en.wikipedia.org/wiki/MTConnect&quot; title=&quot;MTConnect&quot;&gt;MTConnect&lt;/a&gt; is a leading effort to bring these ideas into successful implementation.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;h2 style=&quot;text-align: justify;&quot;&gt;

&lt;span class=&quot;editsection&quot;&gt;&lt;/span&gt; &lt;span class=&quot;mw-headline&quot; id=&quot;Description&quot;&gt;Description&lt;/span&gt;&lt;/h2&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Modern CNC mills differ little in concept from the original model 
built at MIT in 1952. Mills typically consist of a table that moves in 
the X and Y axes, and a tool spindle that moves in the Z (depth). The 
position of the tool is driven by motors through a series of step-down 
gears in order to provide highly accurate movements, or in modern 
designs, direct-drive &lt;a href=&quot;http://en.wikipedia.org/wiki/Stepper&quot; title=&quot;Stepper&quot;&gt;stepper motor&lt;/a&gt;
 or servo motors. Open-loop control works as long as the forces are kept
 small enough and speeds are not too great. On commercial metalworking 
machines closed loop controls are standard and required in order to 
provide the accuracy, speed, and repeatability demanded.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
As the controller hardware evolved, the mills themselves also 
evolved. One change has been to enclose the entire mechanism in a large 
box as a safety measure, often with additional safety interlocks to 
ensure the operator is far enough from the working piece for safe 
operation. Most new CNC systems built today are completely 
electronically controlled.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
CNC-like systems are now used for any process that can be described as a series of movements and operations. These include &lt;a href=&quot;http://en.wikipedia.org/wiki/Laser_cutting&quot; title=&quot;Laser cutting&quot;&gt;laser cutting&lt;/a&gt;, &lt;a href=&quot;http://en.wikipedia.org/wiki/Welding&quot; title=&quot;Welding&quot;&gt;welding&lt;/a&gt;, friction stir welding, &lt;a href=&quot;http://en.wikipedia.org/wiki/Ultrasonic_welding&quot; title=&quot;Ultrasonic welding&quot;&gt;ultrasonic welding&lt;/a&gt;, flame and &lt;a href=&quot;http://en.wikipedia.org/wiki/Plasma_cutting&quot; title=&quot;Plasma cutting&quot;&gt;plasma cutting&lt;/a&gt;,
 bending, spinning, pinning, gluing, fabric cutting, sewing, tape and 
fiber placement, routing, picking and placing (PnP), and sawing.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
End&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Sorce : &lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control&quot; target=&quot;_blank&quot;&gt;wikipedia&lt;/a&gt; &lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://cncmasters.blogspot.com/feeds/8594450356401889764/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://cncmasters.blogspot.com/2011/12/cnc-arrives-many-of-commands-for.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default/8594450356401889764'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default/8594450356401889764'/><link rel='alternate' type='text/html' href='http://cncmasters.blogspot.com/2011/12/cnc-arrives-many-of-commands-for.html' title='CNC History (end)'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-8227486216556533230.post-2486075102980181028</id><published>2011-12-26T04:47:00.000+07:00</published><updated>2011-12-26T04:56:18.492+07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="CNC"/><title type='text'>CNC History (Part 2)</title><content type='html'>&lt;h3&gt;
&lt;u&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;Earlier_forms_of_automation&quot;&gt;HISTORY&lt;/span&gt;&lt;/u&gt;&lt;/h3&gt;
&lt;h3&gt;
&lt;span class=&quot;mw-headline&quot; id=&quot;Earlier_forms_of_automation&quot;&gt;Earlier forms of automation&lt;/span&gt;&lt;/h3&gt;
&lt;h4&gt;
&lt;span class=&quot;editsection&quot;&gt;&lt;/span&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;Cams&quot;&gt;Cams&lt;/span&gt;&lt;/h4&gt;
The automation of machine tool control began in the 19th century with &lt;a href=&quot;http://en.wikipedia.org/wiki/Cam&quot; title=&quot;Cam&quot;&gt;cams&lt;/a&gt; that &quot;played&quot; a machine tool in the way that cams had long been playing &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Musical_box&quot; title=&quot;Musical box&quot;&gt;musical boxes&lt;/a&gt; or operating elaborate &lt;a href=&quot;http://en.wikipedia.org/wiki/Cuckoo_clock&quot; title=&quot;Cuckoo clock&quot;&gt;cuckoo clocks&lt;/a&gt;. &lt;a href=&quot;http://en.wikipedia.org/wiki/Thomas_Blanchard&quot; title=&quot;Thomas Blanchard&quot;&gt;Thomas Blanchard&lt;/a&gt; built his gun-stock-copying lathes (1820s–30s), and the work of people such as &lt;a href=&quot;http://en.wikipedia.org/wiki/Christopher_Miner_Spencer&quot; title=&quot;Christopher Miner Spencer&quot;&gt;Christopher Miner Spencer&lt;/a&gt; developed the &lt;a href=&quot;http://en.wikipedia.org/wiki/Turret_lathe&quot; title=&quot;Turret lathe&quot;&gt;turret lathe&lt;/a&gt; into the &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Screw_machine_%28automatic_lathe%29#Screw_machine&quot; title=&quot;Screw machine (automatic lathe)&quot;&gt;screw machine&lt;/a&gt; (1870s). Cam-based automation had already reached a highly advanced state by &lt;a href=&quot;http://en.wikipedia.org/wiki/World_War_I&quot; title=&quot;World War I&quot;&gt;World War I&lt;/a&gt; (1910s).&lt;br /&gt;

However, automation via cams is fundamentally different from 
numerical control because it cannot be abstractly programmed. Cams can 
encode information, but getting the information from the abstract level 
of an &lt;a href=&quot;http://en.wikipedia.org/wiki/Engineering_drawing&quot; title=&quot;Engineering drawing&quot;&gt;engineering drawing&lt;/a&gt; into the cam is a manual process that requires sculpting and/or &lt;a href=&quot;http://en.wikipedia.org/wiki/Machining&quot; title=&quot;Machining&quot;&gt;machining&lt;/a&gt; and &lt;a href=&quot;http://en.wikipedia.org/wiki/File_%28tool%29&quot; title=&quot;File (tool)&quot;&gt;filing&lt;/a&gt;.&lt;br /&gt;

Various forms of abstractly programmable control had existed during the 19th century: those of the &lt;a href=&quot;http://en.wikipedia.org/wiki/Jacquard_loom&quot; title=&quot;Jacquard loom&quot;&gt;Jacquard loom&lt;/a&gt;, &lt;a href=&quot;http://en.wikipedia.org/wiki/Player_piano&quot; title=&quot;Player piano&quot;&gt;player pianos&lt;/a&gt;, and &lt;a href=&quot;http://en.wikipedia.org/wiki/Mechanical_computer&quot; title=&quot;Mechanical computer&quot;&gt;mechanical computers&lt;/a&gt; pioneered by &lt;a href=&quot;http://en.wikipedia.org/wiki/Charles_Babbage&quot; title=&quot;Charles Babbage&quot;&gt;Charles Babbage&lt;/a&gt; and others. These developments had the potential for &lt;a href=&quot;http://en.wikipedia.org/wiki/Technological_convergence&quot; title=&quot;Technological convergence&quot;&gt;convergence&lt;/a&gt;
 with the automation of machine tool control starting in that century, 
but the convergence did not happen until many decades later.&lt;br /&gt;

&lt;h4&gt;
&lt;span class=&quot;editsection&quot;&gt;&lt;/span&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;Tracer_control&quot;&gt;Tracer control&lt;/span&gt;&lt;/h4&gt;
The application of &lt;a href=&quot;http://en.wikipedia.org/wiki/Hydraulics&quot; title=&quot;Hydraulics&quot;&gt;hydraulics&lt;/a&gt; to cam-based automation resulted in tracing machines that used a stylus to trace a template, such as the enormous &lt;a href=&quot;http://en.wikipedia.org/wiki/Pratt_%26_Whitney_Measurement_Systems&quot; title=&quot;Pratt &amp;amp; Whitney Measurement Systems&quot;&gt;Pratt &amp;amp; Whitney&lt;/a&gt; &quot;Keller Machine&quot;, which could copy templates several feet across.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-pease_0-0&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-pease-0&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt; Another approach was &quot;record and playback&quot;, pioneered at &lt;a href=&quot;http://en.wikipedia.org/wiki/General_Motors&quot; title=&quot;General Motors&quot;&gt;General Motors&lt;/a&gt;
 (GM) in the 1950s, which used a storage system to record the movements 
of a human machinist, and then play them back on demand. Analogous 
systems are common even today, notably the &quot;teaching lathe&quot; which gives 
new machinists a hands-on feel for the process. None of these were 
numerically programmable, however, and required a master machinist at 
some point in the process, because the &quot;programming&quot; was physical rather
 than numerical.&lt;br /&gt;

&lt;h3&gt;
&lt;span class=&quot;editsection&quot;&gt;&lt;/span&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;Servos_and_selsyns&quot;&gt;Servos and selsyns&lt;/span&gt;&lt;/h3&gt;
One barrier to complete automation was the required tolerances of the machining process, which are routinely on the order of &lt;a href=&quot;http://en.wikipedia.org/wiki/Thou_%28length%29&quot; title=&quot;Thou (length)&quot;&gt;thousandths of an inch&lt;/a&gt;.
 Although connecting some sort of control to a storage device like 
punched cards was easy, ensuring that the controls were moved to the 
correct position with the required accuracy was another issue. The 
movement of the tool resulted in varying forces on the controls that 
would mean a linear input would not result in linear tool motion. The 
key development in this area was the introduction of the &lt;a href=&quot;http://en.wikipedia.org/wiki/Servomechanism&quot; title=&quot;Servomechanism&quot;&gt;servomechanism&lt;/a&gt;, which produced highly accurate measurement information. Attaching two servos together produced a &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Selsyn&quot; title=&quot;Selsyn&quot;&gt;selsyn&lt;/a&gt;,
 where a remote servo&#39;s motions were accurately matched by another. 
Using a variety of mechanical or electrical systems, the output of the 
selsyns could be read to ensure proper movement had occurred (in other 
words, forming a &lt;a href=&quot;http://en.wikipedia.org/wiki/Control_theory&quot; title=&quot;Control theory&quot;&gt;closed-loop&lt;/a&gt; control system).&lt;br /&gt;

The first serious suggestion that selsyns could be used for machining
 control was made by Ernst F. W. Alexanderson, a Swedish immigrant to 
the U.S. working at &lt;a href=&quot;http://en.wikipedia.org/wiki/General_Electric&quot; title=&quot;General Electric&quot;&gt;General Electric&lt;/a&gt;
 (GE). Alexanderson had worked on the problem of torque amplification 
that allowed the small output of a mechanical computer to drive very 
large motors, which GE used as part of a larger &lt;a href=&quot;http://en.wikipedia.org/wiki/Gun_laying&quot; title=&quot;Gun laying&quot;&gt;gun laying&lt;/a&gt; system for &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/US_Navy&quot; title=&quot;US Navy&quot;&gt;US Navy&lt;/a&gt;
 ships. Like machining, gun laying requires very high accuracy - 
fractions of a degree - and the forces during the motion of the gun 
turrets was non-linear. In November 1931 Alexanderson suggested to the 
Industrial Engineering Department that the same systems could be used to
 drive the inputs of machine tools, allowing it to follow the outline of
 a template without the strong physical contact needed by existing tools
 like the Keller Machine. He stated that it was a &quot;matter of straight 
engineering development&quot;.
 However, the concept was ahead of its time from a business development 
perspective, and GE did not take the matter seriously until years later,
 when others had pioneered the field.&lt;br /&gt;
&lt;br /&gt;
To be continued&lt;br /&gt;
Source : &lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control&quot; target=&quot;_blank&quot;&gt;wikipedia&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;</content><link rel='replies' type='application/atom+xml' href='http://cncmasters.blogspot.com/feeds/2486075102980181028/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://cncmasters.blogspot.com/2011/12/cnc-history-part-2_25.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default/2486075102980181028'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default/2486075102980181028'/><link rel='alternate' type='text/html' href='http://cncmasters.blogspot.com/2011/12/cnc-history-part-2_25.html' title='CNC History (Part 2)'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-8227486216556533230.post-5462499065100333726</id><published>2011-12-26T04:31:00.000+07:00</published><updated>2011-12-26T04:31:39.000+07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="CNC"/><title type='text'>CNC History (Part 3)</title><content type='html'>&lt;h3&gt;
&lt;span class=&quot;mw-headline&quot; id=&quot;Parsons_and_Sikorsky&quot;&gt;Parsons and Sikorsky&lt;/span&gt;&lt;/h3&gt;
The birth of NC is generally credited to &lt;a href=&quot;http://en.wikipedia.org/wiki/John_T._Parsons&quot; title=&quot;John T. Parsons&quot;&gt;John T. Parsons&lt;/a&gt;,&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-2&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-2&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt; a machinist and salesman at his father&#39;s machining company, Parsons Corp.&lt;br /&gt;

In 1942 he was told that &lt;a href=&quot;http://en.wikipedia.org/wiki/Helicopter&quot; title=&quot;Helicopter&quot;&gt;helicopters&lt;/a&gt; were going to be the &quot;next big thing&quot; by the former head of &lt;a href=&quot;http://en.wikipedia.org/wiki/Ford_Trimotor&quot; title=&quot;Ford Trimotor&quot;&gt;Ford Trimotor&lt;/a&gt; production, Bill Stout. He called &lt;a href=&quot;http://en.wikipedia.org/wiki/Sikorsky_Aircraft&quot; title=&quot;Sikorsky Aircraft&quot;&gt;Sikorsky Aircraft&lt;/a&gt; to inquire about possible work, and soon got a contract to build the wooden &lt;a href=&quot;http://en.wikipedia.org/wiki/Longeron&quot; title=&quot;Longeron&quot;&gt;stringers&lt;/a&gt; in the rotor blades. At the time, rotors were built in the same fashion as &lt;a href=&quot;http://en.wikipedia.org/wiki/Wing&quot; title=&quot;Wing&quot;&gt;wings&lt;/a&gt;, consisting of a long tubular steel &lt;a href=&quot;http://en.wikipedia.org/wiki/Spar_%28aviation%29&quot; title=&quot;Spar (aviation)&quot;&gt;spar&lt;/a&gt; with stringers (or more accurately &lt;a href=&quot;http://en.wikipedia.org/wiki/Rib_%28aircraft%29&quot; title=&quot;Rib (aircraft)&quot;&gt;ribs&lt;/a&gt;) set on them to provide the aerodynamic shape that was then covered with a &lt;a href=&quot;http://en.wikipedia.org/wiki/Stressed_skin&quot; title=&quot;Stressed skin&quot;&gt;stressed skin&lt;/a&gt;.
 The stringers for the rotors were built from a design provided by 
Sikorsky, which was sent to Parsons as a series of 17 points defining 
the outline. Parsons then had to &quot;fill in&quot; the dots with a &lt;a href=&quot;http://en.wikipedia.org/wiki/French_curve&quot; title=&quot;French curve&quot;&gt;French curve&lt;/a&gt;
 to generate an outline. A wooden jig was built up to form the outside 
of the outline, and the pieces of wood forming the stringer were placed 
under pressure against the inside of the jig so they formed the proper 
curve. A series of &lt;a href=&quot;http://en.wikipedia.org/wiki/Truss&quot; title=&quot;Truss&quot;&gt;trusswork&lt;/a&gt; members were then assembled inside this outline to provide strength.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-f_3-0&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-f-3&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;&lt;br /&gt;

After setting up production at a disused furniture factory and 
ramping up production, one of the blades failed and it was traced to a 
problem in the spar. As at least some of the problem appeared to stem 
from spot welding a metal collar on the stringer to the metal spar. The 
collar was built into the stringer during construction, then slid onto 
the spar and welded in the proper position. Parsons suggested a new 
method of attaching the stringers directly to the spar using adhesives, 
never before tried on an aircraft design.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-f_3-1&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-f-3&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;&lt;br /&gt;

That development led Parsons to consider the possibility of using 
stamped metal stringers instead of wood. These would not only be much 
stronger, but far easier to make as well, as they would eliminate the 
complex layup and glue and screw fastening on the wood. Duplicating this
 in a metal punch would require the wooden jig to be replaced by a metal
 cutting tool made of &lt;a href=&quot;http://en.wikipedia.org/wiki/Tool_steel&quot; title=&quot;Tool steel&quot;&gt;tool steel&lt;/a&gt;.
 Such a device would not be easy to produce given the complex outline. 
Looking for ideas, Parsons visited Wright Field to see Frank Stulen, the
 head of the Propeller Lab Rotary Ring Branch. During their 
conversation, Stulen concluded that Parsons didn&#39;t really know what he 
was talking about. Parsons realized Stulen had reached this conclusion, 
and hired him on the spot. Stulen started work on 1 April 1946 and hired
 three new engineers to join him.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-f_3-2&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-f-3&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;&lt;br /&gt;

Stulen&#39;s brother worked at Curtis Wright Propeller, and mentioned that they were using &lt;a href=&quot;http://en.wikipedia.org/wiki/Punched_card&quot; title=&quot;Punched card&quot;&gt;punched card&lt;/a&gt;
 calculators for engineering calculations. Stulen decided to adopt the 
idea to run stress calculations on the rotors, the first detailed 
automated calculations on helicopter rotors.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-f_3-3&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-f-3&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;
 When Parsons saw what Stulen was doing with the punched card machines, 
he asked Stulen if they could be used to generate an outline with 200 
points instead of the 17 they were given, and offset each point by the 
radius of a mill cutting tool. If you cut at each of those points, it 
would produce a relatively accurate cutout of the stringer. This could 
cut the tool steel and then easily be filed down to a smooth template 
for stamping metal stringers.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-f_3-4&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-f-3&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;&lt;br /&gt;

Stullen had no problem making such a program, and used it to produce 
large tables of numbers that would be taken onto the machine floor. 
Here, one operator read the numbers off the charts to two other 
operators, one on each of the X- and Y- axes. For each pair of numbers 
the operators would move the cutting head to the indicated spot and then
 lower the tool to make the cut.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-f_3-5&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-f-3&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt; This was called the &quot;by-the-numbers method&quot;, or more technically, &quot;plunge-cutting positioning&quot;.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-4&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-4&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;&lt;br /&gt;

&lt;h3&gt;
&lt;span class=&quot;editsection&quot;&gt;&lt;/span&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;Punch_cards_and_first_tries_at_NC&quot;&gt;Punch cards and first tries at NC&lt;/span&gt;&lt;/h3&gt;
At that point Parsons conceived of a fully automated machine tool. 
With enough points on the outline, no manual working would be needed to 
clean it up. However, with manual operation the time saved by having the
 part more closely match the outline was offset by the time needed to 
move the controls. If the machine&#39;s inputs were attached directly to the
 card reader, this delay, and any associated manual errors, would be 
removed and the number of points could be dramatically increased. Such a
 machine could repeatedly punch out perfectly accurate templates on 
command. But at the time Parsons had no funds to develop his ideas.&lt;br /&gt;

When one of Parsons&#39;s salesmen was on a visit to Wright Field, he was told of the problems the newly formed &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/US_Air_Force&quot; title=&quot;US Air Force&quot;&gt;US Air Force&lt;/a&gt; was having with new jet-powered designs. He asked if Parsons had anything to help them. Parsons showed &lt;a href=&quot;http://en.wikipedia.org/wiki/Lockheed_Corporation&quot; title=&quot;Lockheed Corporation&quot;&gt;Lockheed&lt;/a&gt;
 their idea of an automated mill, but they were uninterested. They 
decided to use 5-axis template copiers to produce the stringers, cutting
 from a metal template, and had already ordered the expensive cutting 
machine. But as Parsons noted:&lt;br /&gt;

&lt;blockquote&gt;

Now just picture the situation for a minute. Lockheed had contracted 
to design a machine to make these wings. This machine had five axes of 
cutter movement, and each of these was tracer controlled using a 
template. Nobody was using my method of making templates, so just 
imagine what chance they were going to have of making an accurate 
airfoil shape with inaccurate templates.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-f_3-6&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-f-3&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;&lt;br /&gt;

&lt;/blockquote&gt;
Parson&#39;s worries soon came true, and Lockheed&#39;s protests that they 
could fix the problem eventually rang hollow. In 1949 the Air Force 
arranged funding for Parsons to build his machines on his own.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-f_3-7&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-f-3&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt; Early work with Snyder Machine &amp;amp; Tool Corp proved the system of 
directly driving the controls from motors failed to give the accuracy 
needed to set the machine for a perfectly smooth cut. Since the 
mechanical controls did not respond in a linear fashion, you couldn&#39;t 
simply drive it with a given amount of power, because the differing 
forces meant the same amount of power would not always produce the same 
amount of motion in the controls. No matter how many points you 
included, the outline would still be rough.&lt;br /&gt;

&lt;h3&gt;
&lt;span class=&quot;editsection&quot;&gt;&lt;/span&gt; &lt;span class=&quot;mw-headline&quot; id=&quot;Enter_MIT&quot;&gt;Enter MIT&lt;/span&gt;&lt;/h3&gt;
This was not an impossible problem to solve, but would require some sort of feedback system, like a &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Selsyn&quot; title=&quot;Selsyn&quot;&gt;selsyn&lt;/a&gt;,
 to directly measure how far the controls had actually turned. Faced 
with the daunting task of building such a system, in the spring of 1949 
Parsons turned to &lt;a href=&quot;http://en.wikipedia.org/wiki/Gordon_S._Brown&quot; title=&quot;Gordon S. Brown&quot;&gt;Gordon S. Brown&lt;/a&gt;&#39;s &lt;a href=&quot;http://en.wikipedia.org/wiki/MIT_Laboratory_for_Information_and_Decision_Systems&quot; title=&quot;MIT Laboratory for Information and Decision Systems&quot;&gt;Servomechanisms Laboratory at MIT&lt;/a&gt;, which was a world leader in mechanical computing and feedback systems.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-Reintjes1991p16_5-0&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-Reintjes1991p16-5&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt; During the war the Lab had built a number of complex motor-driven devices like the motorized gun turret systems for the &lt;a href=&quot;http://en.wikipedia.org/wiki/Boeing_B-29_Superfortress&quot; title=&quot;Boeing B-29 Superfortress&quot;&gt;Boeing B-29 Superfortress&lt;/a&gt; and the automatic tracking system for the &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/SCR-584&quot; title=&quot;SCR-584&quot;&gt;SCR-584&lt;/a&gt; radar. They were naturally suited to &lt;a href=&quot;http://en.wikipedia.org/wiki/Technology_transfer&quot; title=&quot;Technology transfer&quot;&gt;technological transfer&lt;/a&gt; into a prototype of Parsons&#39;s automated &quot;by-the-numbers&quot; machine.&lt;br /&gt;

The MIT team was led by William Pease assisted by James McDonough. 
They quickly concluded that Parsons&#39;s design could be greatly improved; 
if the machine did not simply cut &lt;i&gt;at&lt;/i&gt; points A and B, but instead moved smoothly &lt;i&gt;between&lt;/i&gt;
 the points, then not only would it make a perfectly smooth cut, but 
could do so with many fewer points - the mill could cut lines directly 
instead of having to define a large number of cutting points to 
&quot;simulate&quot; a line. A three-way agreement was arranged between Parsons, 
MIT, and the Air Force, and the project officially ran from July 1949 to
 June 1950.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-WildesLindgren1985p220_6-0&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-WildesLindgren1985p220-6&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt; The contract called for the construction of two &quot;Card-a-matic Milling 
Machines&quot;, a prototype and a production system. Both to be handed to 
Parsons for attachment to one of their mills in order to develop a 
deliverable system for cutting stringers.&lt;br /&gt;

Instead, in 1950 MIT bought a surplus &lt;a href=&quot;http://en.wikipedia.org/wiki/Cincinnati_Milling_Machine_Company&quot; title=&quot;Cincinnati Milling Machine Company&quot;&gt;Cincinnati Milling Machine Company&lt;/a&gt;
 &quot;Hydro-Tel&quot; mill of their own and arranged a new contract directly with
 the Air Force that froze Parsons out of further development.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-f_3-8&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-f-3&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;
 Parsons would later comment that he &quot;never dreamed that anybody as 
reputable as MIT would deliberately go ahead and take over my project.&quot;&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-f_3-9&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-f-3&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;
 In spite of the development being handed to MIT, Parsons filed for a 
patent on &quot;Motor Controlled Apparatus for Positioning Machine Tool&quot; on 5
 May 1952, sparking a filing by MIT for a &quot;Numerical Control 
Servo-System&quot; on 14 August 1952. Parsons received &lt;a class=&quot;external text&quot; href=&quot;http://www.google.com/patents?id=rRpqAAAAEBAJ&amp;amp;dq=2820187&quot; rel=&quot;nofollow&quot;&gt;US Patent 2,820,187&lt;/a&gt; on 14 January 1958, and the company sold an exclusive license to &lt;a href=&quot;http://en.wikipedia.org/wiki/Bendix&quot; title=&quot;Bendix&quot;&gt;Bendix&lt;/a&gt;. &lt;a href=&quot;http://en.wikipedia.org/wiki/IBM&quot; title=&quot;IBM&quot;&gt;IBM&lt;/a&gt;, &lt;a href=&quot;http://en.wikipedia.org/wiki/Fujitsu&quot; title=&quot;Fujitsu&quot;&gt;Fujitsu&lt;/a&gt; and General Electric all took sub-licenses after having already started development of their own devices.&lt;br /&gt;

&lt;h3&gt;
&lt;span class=&quot;editsection&quot;&gt;&lt;/span&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;MIT.27s_machine&quot;&gt;MIT&#39;s machine&lt;/span&gt;&lt;/h3&gt;
MIT fit gears to the various handwheel inputs and drove them with &lt;a href=&quot;http://en.wikipedia.org/wiki/Roller_chain&quot; title=&quot;Roller chain&quot;&gt;roller chains&lt;/a&gt;
 connected to motors, one for each of the machine&#39;s three axes (X, Y, 
and Z). The associated controller consisted of five refrigerator-sized 
cabinets that, together, were almost as large as the mill they were 
connected to. Three of the cabinets contained the motor controllers, one
 controller for each motor, the other two the digital reading system.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-pease_0-1&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-pease-0&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;&lt;br /&gt;

Unlike Parsons&#39;s original punched card design, the MIT design used standard 7-track &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Punch_tape&quot; title=&quot;Punch tape&quot;&gt;punch tape&lt;/a&gt;
 for input. Three of the tracks were used to control the different axes 
of the machine, while the other four encoded various control 
information.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-pease_0-2&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-pease-0&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt; The tape was read in a cabinet that also housed six &lt;a href=&quot;http://en.wikipedia.org/wiki/Relay&quot; title=&quot;Relay&quot;&gt;relay&lt;/a&gt;-based &lt;a href=&quot;http://en.wikipedia.org/wiki/Hardware_register&quot; title=&quot;Hardware register&quot;&gt;hardware registers&lt;/a&gt;,
 two for each axis. With every read operation the previously read point 
was copied into the &quot;starting point&quot; register, and the newly read one 
into the &quot;ending point&quot; register.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-pease_0-3&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-pease-0&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;
 The tape was read continually and the number in the registers 
incremented with each hole encountered in their control track until a 
&quot;stop&quot; instruction was encountered, four holes in a line.&lt;br /&gt;

The final cabinet held a clock that sent pulses through the 
registers, compared them, and generated output pulses that interpolated 
between the points. For instance, if the points were far apart the 
output would have pulses with every clock cycle, whereas closely spaced 
points would only generate pulses after multiple clock cycles. The 
pulses are sent into a summing register in the motor controllers, 
counting up by the number of pulses every time they were received. The 
summing registers were connected to a &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Digital_to_analog_converter&quot; title=&quot;Digital to analog converter&quot;&gt;digital to analog converter&lt;/a&gt; that increased power to the motors as the count in the registers increased, making the controls move faster.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-pease_0-4&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-pease-0&quot;&gt;&lt;span&gt;[&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;&lt;br /&gt;

The registers were decremented by encoders attached to the motors and
 the mill itself, which would reduce the count by one for every one 
degree of rotation. Once the second point was reached the counter would 
hold a zero, the pulses from the clock would stop, and the motors would 
stop turning. Each 1 degree rotation of the controls produced a 
0.0005&amp;nbsp;inch movement of the cutting head. The programmer could control 
the speed of the cut by selecting points that were closer together for 
slow movements, or further apart for rapid ones.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-pease_0-5&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-pease-0&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;&lt;br /&gt;

The system was publicly demonstrated in September 1952, appearing in that month&#39;s &lt;i&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Scientific_American&quot; title=&quot;Scientific American&quot;&gt;Scientific American&lt;/a&gt;&lt;/i&gt;.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-pease_0-6&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-pease-0&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;
 MIT&#39;s system was an outstanding success by any technical measure, 
quickly making any complex cut with extremely high accuracy that could 
not easily be duplicated by hand. However, the system was terribly 
complex, including 250 &lt;a href=&quot;http://en.wikipedia.org/wiki/Vacuum_tube&quot; title=&quot;Vacuum tube&quot;&gt;vacuum tubes&lt;/a&gt;,
 175 relays and numerous moving parts, reducing its reliability in a 
production environment. It was also very expensive, the total bill 
presented to the Air Force was $360,000.14 ($2,641,727.63 in 2005 
dollars).&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-7&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-7&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;
 Between 1952 and 1956 the system was used to mill a number of one-off 
designs for various aviation firms, in order to study their potential 
economic impact.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-origins_8-0&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-origins-8&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;&lt;br /&gt;

&lt;h3&gt;
&lt;span class=&quot;editsection&quot;&gt;&lt;/span&gt; &lt;span class=&quot;mw-headline&quot; id=&quot;Proliferation_of_NC&quot;&gt;Proliferation of NC&lt;/span&gt;&lt;/h3&gt;
The Air Force funding for the project ran out in 1953, but 
development was picked up by the Giddings and Lewis Machine Tool Co. In 
1955 many of the MIT team left to form Concord Controls, a commercial NC
 company with Giddings&#39; backing, producing the &lt;a class=&quot;new&quot; href=&quot;http://en.wikipedia.org/w/index.php?title=Numericord&amp;amp;action=edit&amp;amp;redlink=1&quot; title=&quot;Numericord (page does not exist)&quot;&gt;Numericord&lt;/a&gt; controller.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-origins_8-1&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-origins-8&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt; Numericord was similar to the MIT design, but replaced the punch tape with a &lt;a href=&quot;http://en.wikipedia.org/wiki/Magnetic_tape&quot; title=&quot;Magnetic tape&quot;&gt;magnetic tape&lt;/a&gt;
 reader that General Electric was working on. The tape contained a 
number of signals of different phases, which directly encoded the angle 
of the various controls. The tape was played at a constant speed in the 
controller, which set its half of the selsyn to the encoded angles while
 the remote side was attached to the machine controls. Designs were 
still encoded on paper tape, but the tapes were transferred to a 
reader/writer that converted them into magnetic form. The magtapes could
 then be used on any of the machines on the floor, where the controllers
 were greatly reduced in complexity. Developed to produce highly 
accurate dies for an aircraft skinning press, the Numericord &quot;NC5&quot; went 
into operation at G&amp;amp;L&#39;s plant at &lt;a class=&quot;mw-redirect&quot; href=&quot;http://en.wikipedia.org/wiki/Fond_du_Lac,_WI&quot; title=&quot;Fond du Lac, WI&quot;&gt;Fond du Lac, WI&lt;/a&gt; in 1955.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-makely_9-0&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-makely-9&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;&lt;br /&gt;

Monarch Machine Tool also developed a numerical controlled lathe, 
starting in 1952. They demonstrated their machine at the 1955 Chicago 
Machine Tool Show (predecessor of today&#39;s &lt;a href=&quot;http://en.wikipedia.org/wiki/International_Manufacturing_Technology_Show&quot; title=&quot;International Manufacturing Technology Show&quot;&gt;IMTS&lt;/a&gt;),
 along with a number of other vendors with punched card or paper tape 
machines that were either fully developed or in prototype form. These 
included Kearney &amp;amp; Trecker’s Milwaukee-Matic II that could change 
its cutting tool under numerical control,&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-makely_9-1&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-makely-9&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt; a common feature on modern machines.&lt;br /&gt;

A Boeing report noted that &quot;numerical control has proved it can 
reduce costs, reduce lead times, improve quality, reduce tooling and 
increase productivity.”&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-makely_9-2&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-makely-9&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;
 In spite of these developments, and glowing reviews from the few users,
 uptake of NC was relatively slow. As Parsons later noted:&lt;br /&gt;

&lt;blockquote&gt;

The NC concept was so strange to manufacturers, and so slow to catch 
on, that the US Army itself finally had to build 120 NC machines and 
lease them to various manufacturers to begin popularizing its use.&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-f_3-10&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-f-3&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;&lt;br /&gt;

&lt;/blockquote&gt;
In 1958 MIT published its report on the economics of NC. They 
concluded that the tools were competitive with human operators, but 
simply moved the time from the machining to the creation of the tapes. 
In &lt;i&gt;Forces of Production&lt;/i&gt;, Noble&lt;sup class=&quot;reference&quot; id=&quot;cite_ref-Noble1984_10-0&quot;&gt;&lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control#cite_note-Noble1984-10&quot;&gt;&lt;span&gt;&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/sup&gt;
 claims that this was the whole point as far as the Air Force was 
concerned; moving the process off of the highly unionized factory floor 
and into the un-unionized &lt;a href=&quot;http://en.wikipedia.org/wiki/White-collar_worker&quot; title=&quot;White-collar worker&quot;&gt;white collar&lt;/a&gt; design office. The cultural context of the early 1950s, a second &lt;a href=&quot;http://en.wikipedia.org/wiki/Red_Scare&quot; title=&quot;Red Scare&quot;&gt;Red Scare&lt;/a&gt; with a widespread fear of a &lt;a href=&quot;http://en.wikipedia.org/wiki/Bomber_gap&quot; title=&quot;Bomber gap&quot;&gt;bomber gap&lt;/a&gt; and of domestic &lt;a href=&quot;http://en.wikipedia.org/wiki/Subversion&quot; title=&quot;Subversion&quot;&gt;subversion&lt;/a&gt;,
 sheds light on this interpretation. It was strongly feared that the 
West would lose the defense production race to the Communists, and that 
syndicalist power was a path toward losing, either by &quot;getting too soft&quot;
 (less output, greater unit expense) or even by Communist sympathy and 
subversion within unions (arising from their common theme of empowering 
the working class).&lt;br /&gt;
&lt;br /&gt;
To be continued&lt;br /&gt;
Source : &lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control&quot; target=&quot;_blank&quot;&gt;wikipedia &lt;/a&gt;&lt;br /&gt;</content><link rel='replies' type='application/atom+xml' href='http://cncmasters.blogspot.com/feeds/5462499065100333726/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://cncmasters.blogspot.com/2011/12/cnc-history-part-2.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default/5462499065100333726'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default/5462499065100333726'/><link rel='alternate' type='text/html' href='http://cncmasters.blogspot.com/2011/12/cnc-history-part-2.html' title='CNC History (Part 3)'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-8227486216556533230.post-1112696736149933113</id><published>2011-12-26T04:26:00.000+07:00</published><updated>2011-12-26T04:43:33.897+07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="CNC"/><title type='text'>CNC History (part 1)</title><content type='html'>&lt;b&gt;Numerical control&lt;/b&gt; (&lt;b&gt;NC&lt;/b&gt;) refers to the &lt;a href=&quot;http://en.wikipedia.org/wiki/Automation&quot; title=&quot;Automation&quot;&gt;automation&lt;/a&gt; of &lt;a href=&quot;http://en.wikipedia.org/wiki/Machine_tool&quot; title=&quot;Machine tool&quot;&gt;machine tools&lt;/a&gt;
 that are operated by abstractly programmed commands encoded on a 
storage medium, as opposed to controlled manually via handwheels or 
levers, or mechanically automated via cams alone. The first NC machines 
were built in the 1940s and 1950s, based on existing tools that were 
modified with motors that moved the controls to follow points fed into 
the system on &lt;a href=&quot;http://en.wikipedia.org/wiki/Punched_tape&quot; title=&quot;Punched tape&quot;&gt;punched tape&lt;/a&gt;. These early servomechanisms were rapidly augmented with analog and digital computers, creating the modern &lt;b&gt;computer numerical control&lt;/b&gt; (&lt;b&gt;CNC&lt;/b&gt;) machine tools that have revolutionized the &lt;a href=&quot;http://en.wikipedia.org/wiki/Machining&quot; title=&quot;Machining&quot;&gt;machining&lt;/a&gt; processes.&lt;br /&gt;
In modern CNC systems, end-to-end component design is highly automated using &lt;a href=&quot;http://en.wikipedia.org/wiki/Computer-aided_design&quot; title=&quot;Computer-aided design&quot;&gt;computer-aided design&lt;/a&gt; (CAD) and &lt;a href=&quot;http://en.wikipedia.org/wiki/Computer-aided_manufacturing&quot; title=&quot;Computer-aided manufacturing&quot;&gt;computer-aided manufacturing&lt;/a&gt;
 (CAM) programs. The programs produce a computer file that is 
interpreted to extract the commands needed to operate a particular 
machine via a postprocessor, and then loaded into the CNC machines for 
production. Since any particular component might require the use of a 
number of different tools-drills, saws, etc., modern machines often 
combine multiple tools into a single &quot;cell&quot;. In other cases, a number of
 different machines are used with an external controller and human or 
robotic operators that move the component from machine to machine. In 
either case, the complex series of steps needed to produce any part is 
highly automated and produces a part that closely matches the original 
CAD design.&lt;br /&gt;
&lt;br /&gt;
To be continued &lt;br /&gt;
&amp;nbsp;Source : &lt;a href=&quot;http://en.wikipedia.org/wiki/Numerical_control&quot; target=&quot;_blank&quot;&gt;wikipedia&lt;/a&gt;</content><link rel='replies' type='application/atom+xml' href='http://cncmasters.blogspot.com/feeds/1112696736149933113/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://cncmasters.blogspot.com/2011/12/cnc-history-part-1.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default/1112696736149933113'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/8227486216556533230/posts/default/1112696736149933113'/><link rel='alternate' type='text/html' href='http://cncmasters.blogspot.com/2011/12/cnc-history-part-1.html' title='CNC History (part 1)'/><author><name>Unknown</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry></feed>