This is what I get by adding up all the binary fractions for all the set bits in your hex/binary representation:

 0  0.50000000000000000000000000000000000000000000000000
 1  0.25000000000000000000000000000000000000000000000000
 4  0.03125000000000000000000000000000000000000000000000
 7  0.00390625000000000000000000000000000000000000000000
 12 0.00012207031250000000000000000000000000000000000000
 13 0.00006103515625000000000000000000000000000000000000
 14 0.00003051757812500000000000000000000000000000000000
 15 0.00001525878906250000000000000000000000000000000000
 16 0.00000762939453125000000000000000000000000000000000
 17 0.00000381469726562500000000000000000000000000000000
 19 0.00000095367431640625000000000000000000000000000000
 20 0.00000047683715820312500000000000000000000000000000
 22 0.00000011920928955078125000000000000000000000000000
 24 0.00000002980232238769531300000000000000000000000000
 26 0.00000000745058059692382810000000000000000000000000
 30 0.00000000046566128730773926000000000000000000000000
 34 0.00000000002910383045673370400000000000000000000000
 39 0.00000000000090949470177292824000000000000000000000
 41 0.00000000000022737367544323206000000000000000000000
 42 0.00000000000011368683772161603000000000000000000000
 44 0.00000000000002842170943040400700000000000000000000
 48 0.00000000000000177635683940025050000000000000000000
 49 0.00000000000000088817841970012523000000000000000000
 54 0.00000000000000002775557561562891400000000000000000
 58 0.00000000000000000173472347597680710000000000000000
 59 0.00000000000000000086736173798840355000000000000000
 61 0.00000000000000000021684043449710089000000000000000
 64 0.00000000000000000002710505431213761100000000000000
 65 0.00000000000000000001355252715606880500000000000000
 69 0.00000000000000000000084703294725430034000000000000
 72 0.00000000000000000000010587911840678754000000000000
 73 0.00000000000000000000005293955920339377100000000000
 77 0.00000000000000000000000330872245021211070000000000
 78 0.00000000000000000000000165436122510605530000000000
 81 0.00000000000000000000000020679515313825692000000000
 82 0.00000000000000000000000010339757656912846000000000
 86 0.00000000000000000000000000646234853557052870000000
 88 0.00000000000000000000000000161558713389263220000000
 92 0.00000000000000000000000000010097419586828951000000
 94 0.00000000000000000000000000002524354896707237800000
 95 0.00000000000000000000000000001262177448353618900000
 96 0.00000000000000000000000000000631088724176809440000
104 0.00000000000000000000000000000002465190328815661900
105 0.00000000000000000000000000000001232595164407830900
106 0.00000000000000000000000000000000616297582203915470
    0.78539816439944831161566131939647068003696135548270 <<< 
      001124476675678989811791619118619999856552441020
                         00  0 0 01  0

    0.78539816439944831161566131939647068003696135548270
  * 4                                                   
  = 3.14159265759779324646264527758588272014784542193080
    3.1415926535897932384626433832795 <<<<<<<<<<<<<<<<<<<< (my) origin
+al input.
              ^ ^^    ^^     ^^^^^^^^

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With the rise and rise of 'Social' network sites: 'Computers are making people easier to use everyday'
Examine what is said, not who speaks -- Silence betokens consent -- Love the truth but pardon error.
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In the absence of evidence, opinion is indistinguishable from prejudice.
I'm with torvalds on this Agile (and TDD) debunked I told'em LLVM was the way to go. But did they listen!

In reply to Re^8: Math::BigFloat to native double? by BrowserUk
in thread Math::BigFloat to native double? by BrowserUk

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