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Hex String to Float

I'm reading data from an instrument that
sends the data in Hex (ASCII String)
and I need to convert the data to Float.
All labview Vi:s converts to integers and spoils all my attempts.
Anyone have an idea?

Example (Motorola format)
"3F7851EC" convert to 0.97

Pelle
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Message 1 of 12
(14,880 Views)
Pelle Soderberg wrote:

> I'm reading data from an instrument that
> sends the data in Hex (ASCII String)
> and I need to convert the data to Float.
> All labview Vi:s converts to integers and spoils all my attempts.
> Anyone have an idea?
>
> Example (Motorola format)
> "3F7851EC" convert to 0.97
>
> Pelle

You need to find the algorithm that motorola uses.
Hex numbers are integers only (by a straight conversion).
I don't recognize this format but the intger equivalent is something
over 1 X 10 ^9.

This has noting to do with LabVIEW it is a number format problem.

Kevin Kent
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Message 2 of 12
(14,878 Views)
"Pelle Soderberg" schrieb im Newsbeitrag
news:3a54f8aa@newsgroups.ni.com...
>
> I'm reading data from an instrument that
> sends the data in Hex (ASCII String)
> and I need to convert the data to Float.
> All labview Vi:s converts to integers and spoils all my attempts.
> Anyone have an idea?
>
> Example (Motorola format)
> "3F7851EC" convert to 0.97

I think there is no possibility to convert it directly only with Labview.
But you should be able to call a C function (see Code Interface Node)

C-function to convert a hex-ASCII float value to numeric float

float strg2float( char *stringval)
{
union {
unsigned long ulong;
float floatval;
}conv;

sscanf( stringval, "%X", &conv.ulong);
return( conv.floatval);
}

Greetings Mik
e
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Message 3 of 12
(14,878 Views)
Colleagues,

Conversion is straigtforward and very simple.

Connect your string "3F7851EC" to "Hexadecimal String To Number"
function, leave the all inputs, except string, unwired.
You'll get U32 number. Then use "TypeCast" to convert this number to
"SGL" LabVIEW type. You'll get your 0,97 in a single float numeric
indicator.

This is all described in IEEE floating point numbers format standard,
and LabVIEW strictly follows it making the all conversions for you.

If you need more explanation, let me know.

Regards,
--
Sergey Krasnishov
____________________________________
Automated Control Systems
National Instruments Alliance Member
Moscow, Russia
sergey_acs@levsha.ru
http://acs.levsha.ru

Michael Ziegler wrote:

> "Pelle Soderberg"
erg@flir.com> schrieb im Newsbeitrag
> news:3a54f8aa@newsgroups.ni.com...
>
>> I'm reading data from an instrument that
>> sends the data in Hex (ASCII String)
>> and I need to convert the data to Float.
>> All labview Vi:s converts to integers and spoils all my attempts.
>> Anyone have an idea?
>>
>> Example (Motorola format)
>> "3F7851EC" convert to 0.97
>
>
> I think there is no possibility to convert it directly only with Labview.
> But you should be able to call a C function (see Code Interface Node)
>
> C-function to convert a hex-ASCII float value to numeric float
>
> float strg2float( char *stringval)
> {
> union {
> unsigned long ulong;
> float floatval;
> }conv;
>
> sscanf( stringval, "%X", &conv.ulong);
> return( conv.floatval);
> }
>
> Greetings Mike
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Message 6 of 12
(14,878 Views)
"Pelle Soderberg" wrote in message news:3a54f8aa@newsgroups.ni.com...
>
> I'm reading data from an instrument that
> sends the data in Hex (ASCII String)
> and I need to convert the data to Float.
> All labview Vi:s converts to integers and spoils all my attempts.
> Anyone have an idea?
>
> Example (Motorola format)
> "3F7851EC" convert to 0.97
>
> Pelle
>
>
>
The VI below seems to do the trick although I would be the first to admit that it's not very elegant

Regards

Keith Fuller
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Message 4 of 12
(14,878 Views)
"Keith Fuller" wrote in message
news:3a5b0042@newsgroups.ni.com...

"Pelle Soderberg" wrote in message
news:3a54f8aa@newsgroups.ni.com...
>
> I'm reading data from an instrument that
> sends the data in Hex (ASCII String)
> and I need to convert the data to Float.
> All labview Vi:s converts to integers and spoils all my attempts.
> Anyone have an idea?
>
> Example (Motorola format)
> "3F7851EC" convert to 0.97
>
> Pelle
>
>
>
Sorry I forgot to show that the numeric constant 0 attached to the "From
Hexadecimal" must be U8 representation

Regards

Keith Fuller
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Message 5 of 12
(14,878 Views)
"Keith Fuller" schrieb im Newsbeitrag news:3a5b0042@newsgroups.ni.com...

The VI below seems to do the trick although I would be the first to admit that it's not very elegant

Ok, the Type Cast does it, but so its more elegant:



Mike
Message 7 of 12
(14,879 Views)
Thanks Mike

that did the trick

Pelle

"Michael Ziegler" wrote:
>This is a multi-part message in MIME format.>>------=_NextPart_000_000E_01C07A54.17E37CC0>Content-Type:
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"Keith Fuller" schrieb im =>Newsbeitrag
news:3a5b0042@newsgroups.ni.com...>> The VI below seems to do the trick
although I would be the first to =>admit that it's not very elegant>>Ok,
the Type Cast does it, but so its more elegant:>>>>Mike>>>------=_NextPart_001_000F_01C07A54.17E37CC0>Content-Type:
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>
size=3D2>The VI below seems to do the trick =>although I=20> would be the
first to admit that it's not very=20>elegant
>

face=3DArial size=3D2>
>
Ok,
the Type Cast does it, but so its =>more=20>elegant:
>

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>
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>


face=3DArial=20>size=3D2>Mike
>
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al8OI/Fvh/4ffF3Wfh2ah+xl+0d8TvhZ+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>AK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Message 10 of 12
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"Keith Fuller" schrieb im Newsbeitrag news:3a5b0042@newsgroups.ni.com...

The VI below seems to do the trick although I would be the first to admit that it's not very elegant

Ok, the Type Cast does it, but so its more elegant:



Mike
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Message 8 of 12
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Michael Ziegler wrote:

>
> "Keith Fuller" > > schrieb im Newsbeitrag
> news:3a5b0042@newsgroups.ni.com...
>
>
>
> The VI below seems to do the trick although I would be the first to
> admit that it's not very elegant
>
>
>
> Ok, the Type Cast does it, but so its more elegant:
>
>
>
>
> Mike
>
>

May be it's more elegant, but below is ~380 times faster.

Cheers,--
Sergey Krasnishov
____________________________________
Automated Control Systems
National Instruments Alliance Member
Moscow, Russia
sergey_acs@levsha.ru
http://acs.levsha.ru
Message 9 of 12
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