String to float

how to convert a string value to float value. thanks in advance

String input = "krap"
float num= 0;
try {
    num = Float.parseFloat(input);
} catch (Exception e){
System.out.println("Try again d_u_m_b_a_s_s!");
}

Similar Messages

  • Convert from String to float

    How do I convert from String to float?

    Hi,
    you can use a Double for example - assuming value is that string to parse
    float f;
    try { Double d = new Double(value); f = d.floatValue(); }
    catch (NumberFormatException e) { f = 0.0; } // error - string value could not be parsed
    // here use your float fHope, that helps
    greetings Marsian
    P.S.: the Double class is usefull for that, because you also can get intValue(), doubleValue() or longValue() out of it for example. The StreamTokenizer for example parses numbers also only to double.

  • Convert string to floating-point

    Hi all,
    ..very basic question, but I tryed it for hours and only received short-dumps
    <b>How can I convert a string into a floating-point number?</b>
    Kind regards,
    Stefan

    hi
    try this
    to convert  string to float.
    data : a type f,
    s type string value '1.023'.
    a = s.
    write :/ a.
    to convert float to string.
    data : a type f value '1.023',
    s type string.
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  • How to change string to float...??

    sorie to trouble u ppls..
    but i cant get to change the string to float...
    mi use
    amt[i] = Float.parseFloat(input);
    amt is a float declared as : float amt[] = new float[3];
    and input is declared as : String input;
    then the 'i' is jus a counter...
    pls help mi ....
    christopher.

    wait that was formatting wrong...
    amt[ i ] = Float.parseFloat(input);

  • Convert string to float

    It seems extremely rudimentary but I haven't been able to find an answer yet.
    I would like to pass in a string representing a human-readable floating point (ie, non IEEE 754) and get its value.
    A straight up assignment of a string variable into a f variable doesn't work for thousand dividers. We would also need it for every scenarios:
    123.456
    123,456
    123456
    123456,789
    123.456,789
    123,456.789
    all should be valid inputs and the resolution should be dependent on system setting for number formats.
    I would like a built-in ABAP call with no manual processing. I'm sure this problem has been encountered thousands of times and solved thousands of times. No point reinventing the wheel.

    Tested Code
    Output as below
    String : 123,456,789,123.456
    String : 123456789123.456
    Float  :   1.2345678912345599E+11
    DATA v_str TYPE STRING VALUE '123,456,789,123.456'.
    DATA v_flt TYPE F.
    WRITE: / 'String :', v_str. "With Commas
    REPLACE ALL OCCURRENCES OF ',' IN v_str WITH ''.
    WRITE: / 'String :', v_str. "Without Commas
    CATCH SYSTEM-EXCEPTIONS ARITHMETIC_ERRORS = 1
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      MOVE v_str TO v_flt.
    ENDCATCH.
    WRITE: / 'Float  :', v_flt. "Float value

  • Converting from String to float and vice versa

    I'm interested in people's thoughts on where common logic to convert between various field types should be stored in an application to minimise code duplication and maintenance.
    I have an application which consists of an object and a jPanel which displays and maintains this object. The object contains a number of private float fields which are accessed by getters and setters. The jPanel contains one jTextField for each of the fields within the object.
    Currently I have numerous lines of code in the jPanel to convert between the values needed by the getters and setters in the object (i.e. float) and the String value used by the jTextFields. This code handles cases where the String value may be blank or null.
    I've thought that one alternative to having all this conversion/validation code in the jPanel is to create a second set of getters and setters for each field which accept and return String values.
    What do people think about this? Is it advisable for only have one getter and setter for a variable? Should I put the conversion/validation logic for each field into a seperate common routine?
    Thanks,
    James.

    Hi James,
    You should go with whatever works best for you. By creating multiple getters and setter you save yourself from repeating the same code throughout your program.

  • Problem in Converting string to float

    Hi,
    I am reading from textField and trying to convert that string value to float.
    Compiler is giving error cannot find symbol toFloat even though I have included java.lang in my program.
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    Thanks.

    Use
    float f = Float.parseFloat(inputString); //where inputString is the string you want to parse

  • Converting string to float number

    Here's what I'm trying to do. The user types a number, such as 12.011, in an input box. I want to check to see if the number they typed is between two numbers, such as 12 and 12.1. Therefore, I want to convert the string in the input box to a float number, not an integer, so I can check to see if it's in the correct range. How do I convert a string into a float number?
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    Mark

    Did you try:
    Number(textinput1.text);
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  • Converting string to float

    I have a decimal string "122339994" which i am trying to convert to float using Float.parseFloat. This results in incorrect value of 1.22339992E8.
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    See this API
    [Java2SE Float|http://download-llnw.oracle.com/javase/6/docs/api/java/lang/Float.html#valueOf%28java.lang.String%29]
    Note that trailing format specifiers, specifiers that determine the type of a floating-point literal (1.0f is a float value; 1.0d is a double value), do not influence the results of this method. In other words, the numerical value of the input string is converted directly to the target floating-point type. In general, the two-step sequence of conversions, string to double followed by double to float, is not equivalent to converting a string directly to float. For example, if first converted to an intermediate double and then to float, the string
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    Venkatesh

  • Annoying String to Float in AS3

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    You can avoid the looping test by using a regular expression.
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    Hi,
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    Rahul

    Hi
    844851 wrote:
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    int projectId=Integer.parseInt(project_id);---project_id is String var..
    Regards
    Meher Irk

  • Hex String to Float

    I'm reading data from an instrument that
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    Pelle

    Thanks Mike
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    Pelle
    "Michael Ziegler" wrote:
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    "Keith Fuller" schrieb im =>Newsbeitrag
    news:[email protected]...>> The VI below seems to do the trick
    although I would be the first to =>admit that it's not very elegant>>Ok,
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    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vhZ+2D+zt8Kfgl8QP2N/hl8X/>ANgD9rj9mTXvht8a/wBq26+Pn7LGvftHfFXw54U8Dfs0eIf2JND0n4mfGrxB+zz+yB8C/D6ftAaD>qPhjRf2ff2I7rUPh18S/gVZxfso6ve/D6w8E/ATn/wBqD4I/ttftVaj+2l4h8Cfsv/tP/BPwT+0D>/wAEoP8AgoR+zxN8Jfj3+2x4H8Yad4//AGuPHHhX9nTwn+zaPDn7M/gj9qD43/snfAnw/deDtO+K>Oj+GPi54C8Y+Gtb8TeKtY+M8vx68L/Dm2Pw/8d/G8A+v/FnhP9pH9mv9pH9gWzvP2+v2n/j94J+P>37T/AI/+CnxJ+G3xr8AfsLWPhXUvCth+wt+2Z8eNJ1DT9W+A/wCxn8DviJpPiDSfiJ8DvAt9a3Vj>46j06406PVdL1TStRttRIh/V+vyB+Kvxk+Ivxb/aK/4Jjf8ACf8A7J37QH7L/wDwj/7f/iv+yf8A>heniP9ljxB/wnH9q/wDBLL/gqH9v/wCEW/4Zo/aW/aI+yf8ACM/2bZf23/wmv/CH/aP+Eg0j/hG/>+Eg8nXv7E/X6gAooooAKKKKACiiigAooooAKKKKAPP8A4s/FLwJ8DvhZ8S/jX8Utd/4Rf4ZfB/4f>+Mvil8RfE39maxrf/CO+BPh/4c1LxZ4u13+xvDun6v4g1f8Asjw/pGoah/ZmhaVqesX/ANn+y6Zp>97eywW0vyB/w8s/Z1/6Jz+3/AP8Aip3/AIKm/wD0G9H/AAVi/wCUWX/BSz/swD9sj/1nX4jV4B8K>IfHfwr/bJ02L9pe7/a/8PfE34z/tAftHeE/hT8YLP49aP41/YT/aK8CahY/HH40fs/8A7M3hv9mK>X4weL5vgj8QPhJ+yL4B0HXvGvxa0n9kP9mjWPEfxi/Zd8f2V/wDtNfFSy+M2tQftTAHv/wDw8s/Z>1/6Jz+3/AP8Aip3/AIKm/wD0G9H/AA8s/Z1/6Jz+3/8A+Knf+Cpv/wBBvX5wfs4/8FJfj749/Zu/>ZGtv2jPhD4f8V+JNf/Zg/wCCI/x3+K3xd+Hv7TXjT4deKvFnxM/4KPft06X+zt8KtUt/Bnw8+APw>40iLw/FpHw41z4+/H7wBb+LNI+HuqajrE37IcPhb4mfBvxJ4k+KbewfD7/gr7478QfCL9nf4nfEP>9kD/AIVjqf7av7P/AMHvjH+yH4Lb9oDR/Gd14g1j4q/Gz9jX9mOLSv2hNc0H4Zx6Z8FPh/dfG39v>D4B+IPAnjj4fL+0L478Qfs4t48+I/wAQvgt8IPjb4Xsv2YPEAB9//B39uj9n/wCOPxTtfgp4Rg/a>A8L/ABN1H4f+MPilo/hn46fsd/tf/syf8JF4E+H/AIj+H3hPxvrvhbWf2kPgX8KfD/in/hFvEHxW>+HWn63pnh3VdT1iw/wCEu0i6n09bKWS5i+v6/EH4H/tC/FP44/8ABVfwX4R+Nfwk+H/wf+Jv7M/7>P/8AwUc+BfibR/hb8ZvEfx18CeIv7bj/AOCDH7SGjeKdC8b+LPgh+z54gj8zw/8AtB6V4d1PRNQ+>HVv9g1jw5qE9rq+qWV7bSRft9QAUUUUAFfh7/wAF9v8Akzv4bf8AZy3g7/1V3xkr9wq4fx/8Mfhr>8V9GtvDvxS+Hvgf4leH7LU4das9C8f8AhPQPGOjWms21re2Nvq1tpniLT9RsoNTgstR1Czhv4oEu>orW/vbdJVhup0k/R/CLjfC+G/iXwdx1jsDiMywnDOcU8yr4DC1KdHEYqEKVam6VKpWvShNuomnNW>smfrXgR4jYLwj8X+APEnMctxWb4Hg7PqOcYnLcFVo0MXjKdKjXpOjQq170ac26qalU92yZ/P/NrN>n4s/Zl/Zy8Z/DT/goF+y54W+O3wo+Dn7PWifBL4c+M/jB8GPhNB8BNOT4HaB4O+NepaT4q+IfgP9>sDwt4b/ay8XavqfibwxrHx5+Jf7I3xog8G/s1DxX+yX8G/g98A/F/wAcvj9+1X429jn17Qtd8CeL>vjp42/4KHfsU6v8A8FJ/C/8AwsVP2efiF4M+P1n8P/2TvCfhzQdY8RWvwp+DV98HdQ8afELxBon7>P/7SPh/TvA3in9unwlrmr/Gb4p6z8SdTi1v4bfG6XWP2T/2C/GH7Ov6f/wDDF/7Hf/Rp/wCzT/4Y>n4Xf/MtR/wAMX/sd/wDRp/7NP/hifhd/8y1e/nWZeCuc5xm2cVaXijRq5tmWPzKpRpvhOUKM8diq>uKnShKXvShTlVcIuWrSTep9RxBm/0d+IM+zvPq1Hxow9bO83zLN6uHpS4HnToVMyxtbG1KNOU/el>ClKtKEJS95xjFy1bPgv/AIJ8fDH4CfHTRv26fEXin4e/CH4xeH/E3/BRn4+a1pOu+IPCfgz4haN4>h0bTLXRr7wPq2nanqOn6vZatpmn2Xj3xZeeFL+2nuLW0tfGfiG40iWOHxFqT3n0J4F8MeDvBH/BS>b4tab4P0Pwz4P/4Tb9kP4efELxTpXhqHS/Df/CY+Mb349fGGDW/Hmv6BpfjrQv8AhK/E032m1ttV>8a6j8JvH2qWf26Cyu/id8Nf7bj8NfFz7O8AfDH4a/CjRrnw78Lfh74H+Gvh+91ObWrzQvAHhPQPB>2jXes3NrZWNxq1zpnh3T9Osp9TnstO0+zmv5YHupbWwsrd5WhtYEj+VtKvvL/wCCk3jvTf7Q8v7X>+w98J77+yv7Y8j7b/Z/x6+NEH9of2B/wsTTP7T/sz+0/s39sf8Km8a/2H/a32L/hYnwv/wCEh/4R>r4ve7juO6/GmeeLOZYLE51QyDG8C1/qGU5lj51/YUMHi+DsBT9tQo1HglVlHLsPOXsaagvZ0Yx0p>Q5fpsx8SsT4h8R+OObZdjOIcNwxmHhpif7MyLN8zqYn6rh8BjuAMrpe3w1Cq8vVecMpw05/V6Spr>2VCMdKFPl+4aKKK/nw/lcKKKKACiiigAr4I/4Ke+C/B3xD/Ya+N/g/x/4T8M+OfCWr/8K0/tbwt4>w0HS/E3hzVP7P+L/AIA1Sw/tHRNatb3TL37FqdlZajafabWX7NfWlrdw7Li3ikT73r4t/wCChv8A>yZ78X/8AuQP/AFaPgmvzDxtr18L4MeLuKwtarhsThvDDj6vh8RQqTo16Fejwpm1SlWo1aco1KVWl>UjGdOpCUZwnGMoyUkmfo3g7Ro4nxc8LMPiKNLEYfEeI3BFGvQrU4VaNajV4myunVo1qVRShUpVIS>lCpTnGUJwk4yTTaPwh8G/wDBL7/gjh40+MuifDC2/Y28Z6P4J8cfGD4w/s6/Cb9ovWfg/wDsUj4N>fF39of8AZ+g+LE3xn+DPhPQ9I0DV/wBoPw74g8Byfs+ftEWtz4v+KvwJ+HPwk8RT/BPxM3gv4jeJ>bbxh8Hrj4mHjL/gl9/wRw8F/GXW/hhc/sbeM9Y8E+B/jB8Hv2dfiz+0Xo3wf/YpPwa+EX7Q/7QMH>wnm+DHwZ8WaHq+gaR+0H4i8QePJP2g/2d7W28X/Cr4E/Eb4SeHZ/jZ4Zbxp8RvDVt4P+MNx8M/vL>wp8Gvjt8NfHfwg0Hxt8EfiBp3wy/Y6/b/wD+CjP/AAUU8V/tAeH38HfEjwJ8WfhZ+03o/wDwUc1r>wZ8K/gV8KfhX4t8cftdeM/2gNAh/bl8DWHiXwPrn7NHhHw5qmsfC/wCLek/Dbxv8Qb1vhDF8XTxX>8Dv2mPHPjv4v+EYf2bfiB4e8P/tb/t//APBOb/goQvxS8QeOP2ez4E/Z88HfstaP/wAE49T+J3wH>+Oun+H/jZr/xNu/2gHvf2F/iF4d8NJ8Afh18ePgTq2sfEb4ST3Hx10/w/efEfXfhpl/xBPwx/wCi>Z/8AMzxB/wDPU1/4jB4i/wDRRf8AmIyLy/6lnkj0f/gmF+w1+xP8PPgh8EPjn4A/Y9/Za8DfG3SP>+Fl/2T8YvB/7Pvwm8M/FPS/7Q8XeP/B9/wD2d8QdF8I2Xi2y+2+Er298LXf2bV4vtPhy7utEm36Z>cS2r/rvXxb/wTy/5M9+EH/c//wDq0fG1faVa+CVevivBjwixWKrVcTicT4YcA18RiK9SdavXr1uF>MpqVa1arUlKpVq1akpTqVJylOc5SlKTk2zLxhoUcN4ueKeGw1Glh8Ph/EbjehQoUKcKVGhRpcTZp>TpUaNKmowp0qcIxhTpwjGEIRUYpJJBRRRX6efnIUUUUAFFFFABRRRQAUUUUAfE//AAUr8J6j49/4>Jy/t/eBdHmsrbVvGn7E/7VPhPS7jUpJ4dOt9R8R/Arx5o9jNfzWtteXMVlFc3kUl1Jb2l1OkCyND>bTyBYm/n6+H/AO19+1dafEyy/aY+H/8AwQj8davq3iK9174m+DDZftz/ALbXi34BaH4q+KmnapN4>t+NXwZ+A95+wtq/7N3w3+JvxS07xl43vvF/xt+E3w38M/EL4gp8Wvi/qXiDxhrUnxp+KFx4w/pH/>AG0P+TO/2sf+zafjt/6q7xVX58/sJfBP9nrxz8DPFvj/AOMHwM+GnxR1Pwx4Z/Zoj/tbxL8G9F+K>3jGLw5ov/BOr9jfWv7E0Cw/4RbxN4t1fZcXep3OleFvDtlf32oapqE8OkaXdanqPlXH9B+G/DPh/>V8O+IuMOMcjzXO8Tl3EGHy3CUcsxWKjVlSrf2Lh4YenhMPmOVxqVa2JzhVfbzxNSUY4dUKeHnKv7>Sl/VHhHwf4W1vCjivj3j/hvO+IsXlXFGFynA0MnxmMhWnQrvh3CU8JRwGFzXJo1q9fF5/wC2+sTx>lScIYVYalhKksR7Wj+WOj/Hj9p3w/ayafo3/AAbz+LdP0z/jG+Cx0mD9r/8AbT/sfw/o/wCx/wDt>HeN/2sP2X/CPhHR3/YJfTPBnw/8AgZ8bfiF4m1X4dfDrwna6L4E8P+BP+Ed+Clt4d/4Ul4K8F/Dv>w/5/8XfjN+3h4k+BPw7+E3wc/wCCDOmfD/xB8B/2f7H9mL9m/wATfEv46ft7fFbw58G/hFF4x/Z0>8WSWmm6N4I/Zh+A/xNvPiB4evf2Wvgt4j+E/xs0r43eF/jZ8G/in8PPBvxV8D/EKz8QaZrFt4k+m>tU+OHwK8XfBP4feMvD/7O/7Bfgvx34Q/4KM+Cv2efik4+F37POk+BPGfwT1PT/GWu6f4n8VXz6P8>f7L4PeB/G1lpEmlan4+8H+Mvinp9lJ4G8XeKPAXjrxDpSS6ZbfZ3w/8AiB+x38RNd/ZV0P8A4d3/>ALNPwp/4aS+GkfxK/tj9oDwT8LvhVoS/8XF0L4d/8ID8GdQ/4U/4l/4Xn8S9Y/tX/hOvBvhXyfh1>/wAJP8OtZ+Hnif7fpn/CdfYdB/bM98F+DchwrxeJ8Lc9xNOGNznA4iOF4ipRqYaeS5fjM4q1qsMd>xtgvaYfG5LgcTm2AqYV4h1cLCNKvDDY+tRwdT+iOJPo9+H/DGDeNxfgvxLi6VPMc/wAtxcMFxXRh>WwdTh7Ksbn9avWhmPiLl/tcLmPD2W43PMrq4J4qVbBU4UMTTwmZV6GAqfkv/AMEuvE/7U37OX7X/>AMKviB+2z+yf8YvhZe/GK7+PXwm1P4lz/ET9qf4y6N41/aE/a917/gnN8Pfh5Zafqv7a+mTfGDwf>8P8AwP8AB/8A4J/6O+uW3jT9p79pXxvqfifV/EV94G03wd8MrDw58NvAv9lVfzv/ALeXgXwx8DPj>38Mbf9n34KeB9OvbT9oP/gmX4u0L4W+ANO8JfCjRvHfjuDxn/wAFCE0zTLnULHS7Pw/o2p+J5tI0>Xw7N4q1aznj061SynvzLZackS/p/ffHf9tD/AImH9kfsF+d539san4a/tz9qP4U6R/xItI/4WJ5G>keOv7K0fxN/wjPxL8Tf8Iz4C/wCEY8O+EP8AhZnw6/4uZD/wlvxg8If8Ihr9fk3iN4W5BXyfgjiH>w9w+T5LgOIMtxGJxmH4o494WyHFVKksLk+YYedHA8VcUUcUoUqOavC1auEr4zC1alB1FVpVJTw9L>8O8WfBfhfEZB4c8VeFmFyHh3LeKMoxWMzDC8Z+J3BfDONq1ZYHh/NcJPD5bxtxnh8YoUKGdywdat>gcTj8FWrYZ1FWo1ZzwtH7hor4evvjv8Atof8TD+yP2C/O87+2NT8Nf25+1H8KdI/4kWkf8LE8jSP>HX9laP4m/wCEZ+Jfib/hGfAX/CMeHfCH/CzPh1/xcyH/AIS34weEP+EQ1+i++O/7aH/Ew/sj9gvz>vO/tjU/DX9uftR/CnSP+JFpH/CxPI0jx1/ZWj+Jv+EZ+Jfib/hGfAX/CMeHfCH/CzPh1/wAXMh/4>S34weEP+EQ1+vyj/AIhrxF/0MeAP/Fr+Fv8A9GR+If8AEIeK/wDobeF//i7/AAW/+j8+4aK+Hr74>7/tof8TD+yP2C/O87+2NT8Nf25+1H8KdI/4kWkf8LE8jSPHX9laP4m/4Rn4l+Jv+EZ8Bf8Ix4d8I>f8LM+HX/ABcyH/hLfjB4Q/4RDX6L747/ALaH/Ew/sj9gvzvO/tjU/DX9uftR/CnSP+JFpH/CxPI0>jx1/ZWj+Jv8AhGfiX4m/4RnwF/wjHh3wh/wsz4df8XMh/wCEt+MHhD/hENfo/wCIa8Rf9DHgD/xa>/hb/APRkH/EIeK/+ht4X/wDi7/Bb/wCj8+4a/Jz/AIKa/wDBTWf/AIJ2T+Aru78BfCLWfBWs/CL4>y/Gj4kfEj40fGX4xfCvwt8OfC3wr+MX7IvwK0qwsNK+BX7Iv7YPxC8ca/wCOPiF+2D4HsrW1svA+>jadoGnaNquqapqsltITafQV98d/20P8AiYf2R+wX53nf2xqfhr+3P2o/hTpH/Ei0j/hYnkaR46/s>rR/E3/CM/EvxN/wjPgL/AIRjw74Q/wCFmfDr/i5kP/CW/GDwh/wiGv1+Iv8AwVa8LftlftYfHT4N>fDrwv+y/r/gPx1bfsx/GX4ifCTSPD/xz8G6r8S/EugfCr/grV/wRf+I/jee7k8K/Gv8AZh034e/E>Xwh8MPhLa/Emw0rwT+194Lm1N/Fui+HPAf7RHg/4h6Ve6p4f+e4r4SzrhnIMdnmLzHg76rgXg3Xl>lviH4fZ1jYUsRjsNhJ1KGW5VxHmWOr+zjXdSpOlgcRTwtKNTF4mMcLQrTj52beG/EOR5fiM0x2Yc>B4jC4X2XtKOS+KfhjxJmc3Xr08NTWGyXh3i/NM5xtqtaEqywWBrvD4dVcVX9lhaFetT9x+DX/Bbn>4zfHv4xeGfgH8Of2bv2Y2+Kni/X/ABF4U0Pw/wCO/jj/AMFSPhDp0ninwpB8d5de8Nal4w+Lv/BC>nwN4K0DX7K5/Zd/aQ0WPRtf8RaZqN94p+BPxY8I6dbXfijwJ4j0jT8zwD+3Z+1P43/aT1H48+Cvh>n+wNrUPjrwb8Fv2XfDPwtT9ub9vHTfEXxK1jxH49+K3jz4S/Gr4O6VP/AMEqNMsfjv8AAP4geGD8>XfEfhP8AaO8CfCb4j/Beb4XfBz42fF/wL+0Ro/wh+GP7Qt9a/D37D37D37eHh79vD9hj4nfE79hj>x98E/hf8E/H3xV8W+OPHHi34q/sK6/o/gDR9f/YV+IvwQ0Pw94e0P4IfEXxT4s1H+0fFninwF8Ho>IPg94D+BXgW28C/Ar4d3l58O9M/ZX0z9hD9hD/gjz98/F/8AYQ+Lfw1+Odz8Wv2SPhX4+8AfDT4O>/wDCIeCPB2jfCjxx8FvHv7SmraP4u8IfEC58YeKf2PfDf7cHjD4k/slfBvwD+zhLrvwq/Z7/AGVf>hV40PwM8C/AD9n742/8ABYzwv8GPgrp97+0J8BvFfjr8Fh4oZ9lFfMMHlee4KjTznIPqmKqP+xMb>h50a2YuWIwGJxEaT9g6lTBZfXjLCwjjKNPnqy5sPJp+LlWYZhlFHNIZfWnh4Z1ltbJM0gqFKpLFZ>XXr4HG1cPH6xSqyo82JweHn7ehKjXToqEK0YVKkJ/eniv9oH/gpp4M8LeJPGGr/sV/sS3mk+FNA1>jxLqlp4U/b//AGr/AB54putO0LTrjVL228NeB/A3/BInxF418Z6/PbWssWjeFPB/h/XfFPiLUWtt>I8P6PqmrXtlZXHG/8Eyv+Cms/wDwUTn8e3dp4C+EWjeCtG+EXwZ+NHw4+I/wX+M3xi+Knhb4i+Fv>ip8Yv2uvgVqthf6V8df2Rf2PviF4G1/wP8Qv2PvHFldWt74H1nTtf07WdK1TS9VS1QG786/bE/YH>1j9qz9n74ffFf47aX4+8f/tn/A34B6/4hi+Cv7Nn7THjr4afsu/F/wDaLl/Zr+M/w81n4d6T8MPj>6fHf7O154B8ceMfjR4w8O2Pi349/BTxPdeMPh5NoPws/aXg+KP7N+p/FP4HePfn3/giP8G/jF8Bf>jN+0l8Ofj54Z1/wh8VF/Zk+B/jvxBofivxFB4r8Ux6d8Xv8AgqR/wXW+Lvg/UvEuvRfHn9qS5vdf>1/wV458O6/rEetftI/HbxTY6jqdzp/i74sePPFFrq/iTUergvi3HZ5iIUMbmOHr4h1ZwnhqOHw2H>UadOhi5zqUkqlXE4imp08LKOJth6UfbOjKlOo1KHj4ihGkrxi0rJqTber5dHoknq/d1eid+/9FVF>FFfqRxBRRRQAVxfxD+Hng74reDtY8A+PtH/t7wlr39n/ANraT/aGqaX9r/svVLLWrD/T9FvdO1OD>yNT06zuf9GvIfN8nyZvMt5JYn7SiuTH4DA5pgcZlmZ4PCZjluY4TEYDMMvx+Ho4zA4/A4yjPD4vB>4zCYiFShisJiqFSpQxGHr050a9Gc6VWEoSlF9OCxuMy3GYTMcuxeJwGYYDE0Mbgcdgq9XC4zBYzC>1YV8Li8JiqE6dfDYnDV6cK1CvRnCrRqwhUpzjOKa+Lf+HeX7Hv8A0SD/AMv/AOKH/wA21eYfBL9h>P9lXxf8ABj4ReLPEXws/tDxB4o+GHgHxFruof8Jv8RrT7drGteFNJ1LU7z7LY+L7aytvtN7czzfZ>7O2t7WHf5dvBFEqRr+kNeLfs2/8AJu3wD/7It8LP/UG0KvxHFeCXgxHjDIsLHwi8MI4atw1xXXq4>dcA8KKhVr4bNODKeHrVKSyn2c6tCnisVCjUlFzpQxNeMJRjWqKX7FhvGLxclwrnOIl4p+I0sRS4g>4Zo0q7434mdanRxGW8W1K9GnVeZ88KVaeGw861OMlCpPD0ZTUnSpuPa/Dz4eeDvhT4O0fwD4B0f+>wfCWg/2h/ZOk/wBoapqn2T+1NUvdav8A/T9avdR1Ofz9T1G8uf8ASbybyvO8mHy7eOKJO0oor9uw>GAwOV4HB5ZlmDwmXZbl2Ew+Ay/L8Bh6ODwOAwODoww+EweDwmHhToYXCYWhTp0MPh6FOFGhRhClS>hGEYxX47jcbjMyxmLzHMcXicfmGPxNfG47HY2vVxWMxuMxVWdfFYvF4qvOpXxOJxNepOtXr1pzq1>qs51Kk5Tk2yiiius5goorwD9p39oTR/2X/hFd/FvWfAfxA+KH/FwPgn8LfD/AMPfhavgT/hO/GHj>v9oD42fD34A/DjQtCm+J3jv4ZfD+y+2/ED4m+GY9T1PxZ498M6PpWj/2hqVzqH+iLbzAHv8ARXwB>/wANkftFf9Inf2//APw43/BLL/6ZZR/w2R+0V/0id/b/AP8Aw43/AASy/wDpllAH3/RXxB8Jv2z9>b8e/H3w5+zn8Sv2P/wBp/wDZj8beNPg/8VfjX4I1T416z+yP4j8K+LPCvwX8afBHwL8QNP0++/Zt>/ar/AGgtX0zxBpmr/tBfDm4tbXxRoegadqmnXWqzWGqz3OlTWbfb9ABRRRQB5D+0F4A1n4r/AAE+>N3wt8O3OmWXiD4lfCH4leANCvNamurbRrTWfGPgzWvDumXOrXFjZajewaZBe6jBLfzWen391FapK>9vZXUypBJ+O3hL9iL/go14M0LSNE0TUv2Q9N/s3wz4C8NX194a/aT/4KQ/Dn/hJf+Fc/Drwh8KvD>+v6/4f8AhV8R/AngqTxNJ4K8CeFtL1XVdL8LaV/aH9lQSSQLtVV/eeiv1Hgfxd4p4AynMMlyWhk9>fAZljY4/ERzHCYmrW9sqVGk4Qr4TG4Kr9XmsNhqlTDzlUoyrYehWcfaUqco/tHhv47caeF+R5nw9>w9hshxWWZtmMczxUM2wOLrV1iI0cNRlCnicDmOX1lhaqweEq1cLUlUoTxGFw+IcPa0KU4/h7/wAM>n/8ABTf/AKGn9mn/AMTQ/wCCs3/z9qP+GT/+Cm//AENP7NP/AImh/wAFZv8A5+1fuFRX1v8AxMbx>v/0KuFf/AAhzf/5+H3P/ABNn4jf9CXgnp/zLs96W/wCqk/ur8T8KrD9g/wDbl8SfEr4OeIviRqP7>K0Xh/wAD/tB/s+/GTxjrui/Gb9tL4nfErWtG+BGv+M77RfC+k6n+0NrvxNsrTTLSy+JvxAvLDRNP>n8N2t5r+rxXF9qlvCJnP7q0UV8Hx94l8ReI1TKZ59Ty2kslw9fDYKGXYatQThiHQ53iKmIxWLr15>xhhsPQoudZqjh6FKhSjGlThFfmXid4v8V+LNTIp8T0cnoLh7C4nCZfTynB18MnTxbw3tJYqri8Zj>sTiakKeDwuGoOrXccPhcPRw1GMKNKEIlFFFfnp+VhRRRQAV+R/7a8HxivP24/wBnTT/gBDoD/GHV>f+CdH/BS/RvA934l+IEHwt07QtR1n9o7/gk1pd34rtvHF78BP2otJ0jX/B+k3eoeKvClt4h+AHxS>8La74p0fRvD3irw1J4c1XVLy0/XCvxw/4KE+EvHXj/8Aai8DeBPhf4h8feEfiX41/wCCRX/BYzwl>8O/Ffwpn0e2+KPhjx14k+If/AATE0bwl4h+G1z4h+Ifwh0C38faLr97p+peDp9c+LHwv0eLxFbac>+p/EPwXZLP4j035vi/l/1bzbndJQ+rx5nWUpUVH29LmdWMGpula/tFFqTjdRadmbYf8AjU7XvzdN>Hs9r6X7X6n1D+yn8Efjn8K/2O/2bfgr8cf2ivH3xI+Pnw38A/B2z+MHxy/tHwf4w8RePfGHg++8O>6/8AEDw5/wAJJ4v+FOn/APCU+AfFP9n6t8Kv+E08T+B7H45658Lr/wD4SnWvHtt8fLu5+LNe+fDv>xbrHinR57bxX4e/4Rbx94W/4R7Q/iPommQeOtR8C6d461HwL4S8a63p/wv8AiP43+Hfww/4XP4B0>r/hLrbRtP+KHhrwpp+j6jrGn654a1nTPC/j7wv418EeGe+/z/nr6+/Xvn5/iX9uz9mX4xftNfB3W>fB/7N37Qegfse/HPW9A8QfDi3/artfgnB8XPjF8Pfg74+n0HUvip4K+C+sx/Ej4W6t8L9f8AiPq3>gf4cy6r430/xBqc+kweELDV9A0TT/iRo3w8+I3gD+T4zhjMVJ4qrRwqxWIlUqYn2MlSw8q0+apN0>cLSnN4dX/hUaUpU0k6MPip1Pc1jFcqcrKKUbq7t7OyvJpX820n1fVd/+2j8KfjF8cv2TP2ivhF+z>38X9f+Avxz+IPwi8b+GvhJ8W/DWtQeGdR8HfEC+0S6Hhe5ufFB8H+PNW8KaBqmrLbaF4r8V+DPDk>vxL8MeFtU1nXvhZrPhf4kWHhbxTpPy9+xRB8YrP9uP8AaL0/9oCHQE+MOlf8E5/+CZ+j+Obvw18Q>YPilp2u6jo/7Rv8AwVl0u08V3Pjiy+Av7L2k6vr/AIx0m00/xV4rt/D3wA+FvhbQ/FOs6x4f8K+G>18OaVpd9e/p5/n/PX19+vfPz/lJ/wT38JeOfAH7UfjrwJ8UPEPj7xd8S/BX/AASK/wCCOnhL4ieK>/itPo9z8UfE/jnw58Q/+Cnej+LfEPxJufD3xE+L2gXHj7Wtfs9Q1LxjPofxY+J+jzeIrnUZNM+In>jayaDxNqn6J4WVFLP6dF+wTp08XUheFsTJVsM41bVU1ehD2FHmhNS5ak4ypuHPVU+PGr91fXXlT1>93Tla07u717LXZH7H0UUV/SB5IUUUUAFFFfMHxr/AG3f2L/2a/FWn+Bf2jP2u/2YPgD421bw/a+L>NL8HfGv4+/Cn4V+KtS8K32o6ro9j4m0/w9468WaDq954fvNX0LXNLtdZt7OTTrjUdG1WxhuXudOv>IoQD6fr8wv8Agnf+2fon7Q8t18EPCnw58WaP4N+CX7I37FnxM8I/GXxJPa6do3x40n43H9oHwBde>Ifhp4TaE6/H8LdA1/wDZn1qy8HfE3xE+lWvxqttSuPHvwy0HVvgdd/Cv4wfGHy/xp+1v+y5+31+0>/wDBv9jT4M/tL/s//tI/AHxN8A/2lfjz+014R+APxk+HXxTbxcPg98Q/2UPh/wDC/wCC3xouvAfi>PxN9j+APxQ/4X/8AEHxD8RvhzdQ6Efjp/wAKt0f4ZeLtZ8R/AHU/jz8Hfiz738I/+Uov7Zn/AGYN>/wAE1f8A1of/AIKu+5/zzk9T8NisxoVPEHKMDTjU+sYLIM7pYiUklRdHNa+TYuCp2fO60J5LS5pN>ezVOtKKU5vmpetSxdSlkeOwHJB0sbmeWY51LvnhPLMNm2GjBRtyuFWOb1JSbfMpUYW0bP0Sooor7>k8kKKKKACvgD/gpZ/wAm6/Dn/s//AP4JO/8Ar039jevv+vh7/gol8NvHfxX/AGY38J/C3xP4S8Hf>E2y/aH/Yp8f/AA68QePvDOseMfAlp47+Ev7af7P3xW8I23jXwz4d8UeC/EGreEtW8QeC9P0jxHDo>XinRNYi0e/vLnTL1b2CCOTizLMcJlGXZhm2PqTo4DK8FisxxtWnQxGKqUsJgqFTE4mpDDYWlXxWI>nCjSnKNDDUa2IqtKnRpVKkowfZl+AxWa4/A5ZgacauNzHGYbAYOlOtQw8KmKxlaGHw9OeIxNSjhq>EZ1akIyrYitSoUk3OrUhTjKS/AP/AIJ3fFn4+/DrUf2PvBvg7xH8H5f2g/26/wDgnB/wSM028+N/>jP4VeNPEngvQPFXxH8K/8F3P2+/HXxb+Knwq0v43eFvG3x2+MHxJtvhR4h8N/F7x7L8ffhxqPxM+>PvxR8V/tP6xHbRy33wW1j6/+Nn/BWH9p/wAG/BDxV8SvhL8KvD/xe8bfsaeH/wBrXxz+3f4I8J/C>bw+fCup/DP8AZc/aV/aY/Zt8L/Enwz8QPir+3H8BtX/Z08P/ALR+r/sQ/tMeKNG0PwJ8Of8AgpV8>Qvglp1tbWHizwT48ufC3gqb9o3mvF/wk/a4v/CviD4K+PfiZ/wAG3l54IPgz4cfBTxT8JfF/7Gfx>MuPCp+Hv7P8A4g1fWPhF8JfEHgPWf2xn0g+DPgn4p1bXtU+HHgPUdK/sT4b+INS1e+8MaVo2o3l5>LJyXxH+BXx9+MfhX4Y+Bfi742/4Nj/ip4J+Cfh9vCfwZ8HfEf9iTxp448K/CPwq+neH9Hfwz8MfD>3if9sHVNI8BeH20jwn4V0ttG8K2ek6c2neGvD9ibY22jadFbfndTxo8NaVSdKrxHOnVpzlTqU6mS>cRQqU5wbjOE4SylSjOMk4yjJJxaaaTR97Dwi8QqsIVKeQRqU6kYzp1IZxkMoThNRlCcJRzRxlGUZ>RcZJtNNNOx7l+xN4j+Kfi39ub4Qa78UvH/8AwsD/AJWWfDnw6nvLPxH/AMJH4S+Fnw//AOCwn7E/>w68I+APEniLxF418W/8ACW/8Il/wiWoaf4KvNC0z4f8Ahzwl8LP+EA+FumeCv+Lfz+LvFv7/AFfg>d8FtL+Pvhz9riw/av+O37SH/AASO8Zavpvwf+OXw4l8Pfs5SeNP2a9R8aeKvjprf7IEusfE74q+M>fGPxK/aTufHviDw14J/Yx+GHw48Nq2jaLqMHhWGw0268QXGkeF/D2j2v6qeEPjx4i8Sa54Dg/sn4>La94S8b+NdX8A/8ACV/Cf4733xN/sXxFpfw68WfEb7Ne2X/CpfC2mPv0zwt9nuYf+EihvrP+19Nv>Psc9vJg74Hxe8PcyxeGwOAz2risVjMXgsFQpUsj4hlfEZhjcPl+EVSf9kqnh6VTGYrD0Z4nETpYa>h7RVMRWpUlKccMZ4Wcd5fhcRjcbktLDYbC4XF4ytUq5zkKtQwOErY/EunD+03Ur1YYTD1qsMPQhU>xFb2bhQpVKjjB/TtFFFfpR+ehRRRQAUUUUAFFFFABRRRQAUUUUAFfld+1l/wtH/hvT9n3/hR3/CA>/wDC6v8Ah2R/wVb/AOFP/wDC1v8AhIv+FXf8LR/4XL/wSz/4V/8A8LJ/4RD/AIqz/hAf+Es/sn/h>Mf8AhF/+KiPh3+0RoudS+zA/qjXgHx0/ZO/ZY/ag/wCEW/4aX/Zp/Z//AGiP+EH/ALb/AOEK/wCF>6fBv4dfFv/hD/wDhJv7I/wCEk/4Rb/hP/DniD/hH/wDhIP8AhH9B/tv+yfsn9q/2JpH2/wC0f2bZ>+T5mc5d/a+V43LfaxofW6Xsvaype3jD34yvKiqlH2kXy2cfawum/eRdOfs5xna/K72Ts/vs7fc/Q>/Jf/AIJa/wDDen/C0f2hh8f/APhPv+FK/wDCffFnafjz/wALl/4WifGp8RfD3/hVv9jf8LRz4T/4>T7/hEz8Xv+Gw/wDhjvP/AASZ/wCEiP7Mn/DrnOmn9rYNp/8ABQv4H/Cv49/tvfseeFPi38GfA/xu>8P6R+yP+2t4itvD/AI3+Bngj9oj/AIRvf+2B/wAEi/C3izxx4U+HHj3wB8TtHufFuhfDLxT48gst>VtvBusapp+l6nrAtYJIbm5jn+1f+HTv/AASy/wCkaf7AH/iG/wCzr/8AO5o/4dO/8Esv+kaf7AH/>AIhv+zr/APO5r84qeGFaWLxeMw/EU8BXxGV5pl1Crl2X1sDiMFUzDKMZldLHYfFYbNqeJpYrBSxU>cVSq0alCv7ShBU8RQqcteHs5XnFLL8wy3GV8vo5hQwOY4HG1sDi/ZVcNjqWExdDE1MHiKWIw2IoV>KGKjRlQqwrYevRlTqSVSjVhzU5fCeh/8E1P2P5viz4C0u9/4JmfsaP4NvNF0mTdd/wDBPr9nO1sf>EGjy/E34raV/wkvjV/8Ahm6y0/QfGt/8INK+Hni/xH4f1D4sfA668GeItSaTR/hV451ib/hSt5F+>wT8N9D+CP7Z37SHhn9mD9lr4I/Bv+0/+CfH/AATE134z+CbH4eXH7GujT/GGb4q/8FLLDxP4pt/A>/gn9nx9F8U6nqx0630jUvFdho1jpf2Tw7pWkaTqerWmmi00b7x/4dO/8Esv+kaf7AH/iG/7Ov/zu>a+gPgX+yd+yx+y//AMJT/wAM0fs0/s//ALO//Ccf2J/wmv8Awov4N/Dr4Sf8Jh/wjP8Aa/8Awjf/>AAlP/CAeHPD/APwkH/CP/wDCQa9/Yn9rfa/7K/tvV/sH2f8AtK887uyPgPPsmqTcvETifHwqQx1N>zxsqeOxNKGJeS1MPLDPNqmZ5fDEYarlmNputiMsxSlg83xFDD0sHiKbxtf6jOeNckzaEFHgLhzBS>pywdRQwkamDw9WeHjm9OvHELK4Zbjp0MRTzDB1FSoZjhnHF5XQrV6mKoTWDo6v8Abv7Rf/RK/gp3>/wCa++OvfH/Ntf8Au59MnrtG4/t39ov/AKJX8FO//NffHXvj/m2v/dz6ZPXaN3tVFfRf6vZv/wBF>1xV/4R8Ef/QceD/b2Vf9EVwz/wCFfGX/ANFp4r/bv7Rf/RK/gp3/AOa++OvfH/Ntf+7n0yeu0bj+>3f2i/wDolfwU7/8ANffHXvj/AJtr/wB3Ppk9do3e1UUf6vZv/wBF1xV/4R8Ef/QcH9vZV/0RXDP/>AIV8Zf8A0Wniv9u/tF/9Er+Cnf8A5r74698f821/7ufTJ67Ru/Gb/gnd+yv8ePiR+xv+z9+0fcf8>FL/22vDXxE/bC+Efwn/a5+N02g+A/wDgnHqUGv8Axi+PPwr8D+L/ABZeLq/jr/gn/wCMvGt14f8A>DtrPo/w7+GWg6/4s123+Gfwc8FfDn4QeDpNL+Hnw+8H+HtK/oDr4A/4dO/8ABLL/AKRp/sAf+Ib/>ALOv/wA7mvMzfg3Ms1wkcJW4uzHFwVenXazjKOHcbTg6cKsEqNLLsrySClP2t5zxH1qS5IKj7FSr>e148XmmExEqUsNkWW5V7NVFP+zcRnUnX53TcfbPNc2zVr2XJL2aw/sL+1m6vteWl7P8ANn9oD4O/>tbfCb9qK1/4U7+1Z8fP2nf2ltf8A+CRX/BWv/hmP/hePhz9i3QP+EI+OelfEP/gm/wD8Kz/4Rf8A>4Vd+zb+z34Bu/wDhJfH2peE/7b/4XYfF/g+D+wdJ3/2Dos/ir+3T/jml/wCahf8ADor/AIT7/meP>+GrP+GZf+Gov+Ew/5mX/AIaS/wCGn8/tLf8AC/P7aF7/AMLi/wCGh8/HP/hYf/CRf8Laz4+PiDf9>J6P+yd+yx+y//wAFRf2XP+GaP2af2f8A9nf/AITj9gb/AIKH/wDCa/8ACi/g38OvhJ/wmH/CNftD>/wDBLn/hG/8AhKf+EA8N6B/wkH/CP/8ACQa9/Yn9rfa/7K/tvVxYCH+0rwT/AEL+yxDJ8Wv2n/2j>f2y/Bw+0/AH4vfAP9k/4DfBrxddf6O3xeH7PHxD/AGxviB4s+NPgC1Tz/wC1PgD4w/4af8OeHvg9>8RrybTT8X/8AhCPF/wATfAWja38AfEvwS+MXxf8Ag6XCWJq8RLhpY7FU6WBy2OKxGb5ZhoZdBvEV>atWjRxOGoudHlvOUMNBVoyU/rddKftaip4OulRVbli3KfKqdRufwqCbi3Z6297TbljpZX/nz8f8A>/Dr/AP4ao+O//Dtr/hgj/hrX/hgjRv8Ah1d/wwJ/wzx/wsT/AIbn/wCFh/Gj/ha/2v8A4ZoONuP+>GIf+E1/4aX/4s9/wy1/w1R/apP7Jv/DxLd/Vf/bv7Rf/AESv4Kd/+a++OvfH/Ntf+7n0yeu0bvaq>K/RsHwnjMDh40MLxbxDhLSTm8NDJK0KvLRoUY3p5zk+ceylejKtUlhpUPb18RWqVlP8AdKlpgszw>uFdZ4nIsqzb2nJyf2hVzmk8PyOo5eyeUZtlXN7Xnip/WPb8qpU1S9ner7TxX+3f2i/8AolfwU7/8>198de+P+ba/93Ppk9do3H9u/tF/9Er+Cnf8A5r74698f821/7ufTJ67Ru9qorp/1ezf/AKLrir/w>j4I/+g47/wC3sq/6Irhn/wAK+Mv/AKLTxX+3f2i/+iV/BTv/AM198de+P+ba/wDdz6ZPXaN3mHxa>1b40XPh/wtB4s8AfC/RPD7/Gn9nX+0NT8O/F7xX4o1m2C/H/AOGj2n2PQtS+CHhCyvvOvVtbe4E/>iLTvstrNcXkZu5baOxu/rmvPfih4M1Hx74ROgaPrdl4d1a28T+APFml6vqWiT+I9Ot9R8AePvDPj>yxh1DRbXXPDdzf2V/c+G4tPuo7fXdMnSC6kmhuRJEqN4XFHC+f4rhniLC4PivifNsXicizehhcrq>UeB6EMyxFbL8RToZfOu+GcuVGGMqyjhpVXmGBVNVHN4zDcvt4e1w3xLkeG4iyDE4rhjhvLMLh86y>uvicyp1uMq88voUsdQqVsdCiuIse608JTjLERpfUcb7R01D6piL+xn8+LHr8v7MXxji8LXXxCsde>k+IX7UMen33wpsNE1X4hWbv+0R8UFmuvDGl6/qWjW2pXtvbGaaaw03WNK8U3lkl1b+CtSsfGMmhX>UXzF4u1j9oy98A/Ddbjwh8drDwDoHif9pjR9Ym+G2r/GLR/iZ8RU0/wjrcv7P/i+5t9fvfiH8e/h>/ZeIvFk2p2NrpHju68VeFtHu7HQ9U8YWU/hS78JaPF9O6l+zHqOs6jqGsaxov7HWq6tqt7dalqmq>al+x3PfajqWo308l1fX+oX118eJbm8vby5lluLq6uJZJ7ieSSaaR5HZjS/4ZQ/6lb9i3/wAQx/8A>x61+DcScDeJueYfLsLhuGc9yqOW8JcP8KKpguMuF4Usxo8OZ7lueUa2My/E/XqFDBZzPLYYPiLKs>LWjWzTLZwyzEZvUwVKpSxP7Xw9xn4dZNXx2JxHEWS5nLMOKM84mdPGcJcSTqYCtxBkuPyatSwuOw>7wdatjMohmE8XkOZ4mlKlluYQnmNDKoYyrTq4fF/Zw8ZfE+6+MvxRj+J2lfGnT9M8ceCv2dtT8A2>fjLwx411Dwzo+sW/wcGrfE+xbXtO8HaF8OPCmtQ+IrlbXxQkWm+B7XWPFkUthZ6FBqcS6Ra7X/Nc>v+70v/gdlH/DKH/UrfsW/wDiGP8A+PWu18IfAfxF4b1zwHP/AGt8FtB8JeCPGur+Pv8AhFPhP8CL>74Zf214i1T4deLPhz9pvb3/hbXinTE2aZ4p+0XM3/COzX15/ZGm2f2yC3jyPdyPhvxOp5dwtkGd8>MZhiaGTeJ8eNp5/iuJOH8wx7wuacU5hnWYYXH0lj8P7Wllf9v5jUw2IwMfaLLcvwOV4fKK1dPET8>XOeIfDqeP4lzzJ+IsDh6+beHD4PhkeG4fz3AYGOJyzhrL8pwOJwVV4Gv7OrmP9iYCniKGMl7N5hj>cZmNfNKVBqhD6dooor+oz+bgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo>AKK/kC/YS/YR+FnijR/+CRnw9uf2Tf8AgkB4i+GX7Rn/AATA+HP7VPj3V/il/wAEr/DnxH/aO1P/>AIUd4E/4J8eFvi3oeu/HST9onw74f8UfED44eIP2pvFnjDTPi1rPwdl/4V/daLp9r4m8C/F+9v8A>Utbl/R/x98OP+DfD4aaJZa/4o/Yg/YgkttU8QfGTwnoum+E/+CaOkfEPxV4h8VfAH9rj4X/sI/FP>wz4Z8E/D79m/xP4x8S+INE/ax+M/wy+EGjaNoOhajqPjnUfFVt4l8BW3ifwRY6t4m08A+/f2kP2H>vCf7UHx++BPxX+IfjbX0+G3wo+EX7Rfwh+IXwG07TtOTwr+0V4Y+PvjP9mXxs/g/4ta/cNNq1z8I>NM1b9m3SpPHnwo0a30/Tvjlp+rR/Dz4pa3rPwKvvit8HfjF9w1+ENz8Mf+CBEHhXRvEtv/wTy/Zg>1rV9Z8QeJvDJ+D3hb/gkZ4k8YftQeHNR8G6d4T1rxVc+P/2RfCv7JusftR/DPw/oGh/EX4Ua/qni>z4ifCDwv4VtfD/xq+BGuyayNI+OnwivPGh+0V+xX/wAE24PD/wCyLpX7LX7AX/BKDVNX/bc+MFt8>OPhT8dfE37EHwG+N3wa8OeFU/Zf+Pv7W1v8AE628GfDuT4WXPxl8P+OPBP7P914L8Jr4b+NXgLTr>Wf4j6N8Tk8QeKNI8JyeBPGkRpwjKc4whGdRp1JRilKo4xUIuckk5OMEopybailFaJILvvtt5H7vU>V+IP/DAv/BPv9nL4Wf25+2L/AME0v2APiV4gX4gf8IjoXjD9in/gkZ4n+KP/AAmuj6p4c/4SfTPE>Wv8A7Nnwt+DX7UfxN+Cn9jXtr4n8DarPefEn4s+BNT/4Rvwr42uPiL4Q8QfF3T/gt4F8f/aF0D/g>gl8HPhL8cPH/AIF/YJ/4JwfGzxJ8K/2YPiX+0l4O0nwn+yJ8FE+Evxcn8D/s8a1+1D4e+D/hn9p3>R/gV4s+By/GDx78DtLs/jVo3wp0vxL4l+Mq/s8atbftHWPwt1n4NiLxVc2B/Q9RX5Qf8EufBnwa8>BeJv+CkHh79nz4V+H/gn8G5P23/hn4m8C/C7wz8IZ/gDp3hPTvHH/BLn/gm342vLa5+C994U8Dav>8NPEGoav4h1HWPFnhPxF4O8NeKtL8VajrMXivRrHxIdUgT9X6ACiiigAooooAKKKKACiiigAoooo>AKKKKACiiigAooooAKKKKACiiigAooo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    Attachments:
    Scan From String Error Defaults.jpg ‏13 KB

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