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

#include "Fivewin.ch"

Function Main()

   local cTxt := hb_MemoRead( "decode64.txt" )
   local cPdf := HB_BASE64DECODE( cTxt )
   hb_MEMOWRIT( "Test.Pdf", cPdf, .F. )

Return nil

Function test()

    LOCAL cFileName := cGetFile("*.txt", "Izaberi TXT" )
    LOCAL cPdf

    cTxt=MemoRead(cFileName) //[b]I check this cTxt on https://base64.guru/converter/decode/pdf[/b]

      cPdf = HB_BASE64DECODE( cTxt )

   return

%PDF-1.5
2 0 obj
<< /Filter /FlateDecode /Length 16237 /Length1 28140 >>
stream
xíĽ  <UÝŰ7~$)C©ˆ&ť˘(9śůˆh2‡(S†Ę)¤LE4Q!‰Je*’Ę”ĚCEH†&c2”(BĹ)â˝ÖFw4ýşźçů˙ßĎóy«ÓŢ{ía}×5_×Z{;psI’2  /   é’O˘R   d:žNĄ¤hxS[nŽuĘÜşx
‰[%Ľ6ë7ă%´×ÁŢşMëńč„2ŢqŹ“94(ŕ
$6¬ßbÄ͡Ľ›cřŮđKŹŠ‚˛Ž…‡cż¸á:Üzë¤Ič++ëdřÇ6•Ťmňd6vö)Są8¸¸8989ą§Ďâáž>s:''Ďž™łyůřř¸fđ
Ěá˜ĹËÇ‹ÂÂ
÷Lf›ĆĆ6Ť—›“›÷Ż˙çâfNĹmc‰ceY‚›4“…u&ËpnŕdcÁţŕF˙°LbťĚ6…}ę4N¸ • 7‰…•uŇdV„®

#include "FiveWin.ch"

function Main()

   local cPdf := memoRead( "fwintro.pdf" )
   local cText

   cText = hb_base64Encode( cPdf )  // xHarbour fails here
   MsgInfo( Len( cText ) )

   memoWrit( "encoded.txt", cText )

   cText = SubStr( memoRead( "encoded.txt" ), 1, Len( memoRead( "encoded.txt" ) ) - 1 )
   MsgInfo( Len( hb_base64Decode( cText ) ) )
   memoWrit( "fwintro2.pdf", hb_base64Decode( cText ) )

   ShellExecute( 0, "open", "fwintro2.pdf" )

return nil

MEMOWRIT( cFile, cString, .F. )

GN_BASE64ENCODE
GN_BASE64DECODE
GN_BASE64URL

/*
*
*  BASE64.prg
*  May 02-2013 01:50 PM
*
*/

#include "FiveWin.Ch"


#ifdef __XHARBOUR__
#xtranslate HB_BASE64ENCODE( <c> ) => HB_BASE64( <c>, Len( <c> ) )
#endif

#ifdef TEST

//----------------------------------------------------------------------------//

function Main()

   local oDlg, cStr, oFont, cEnc, cDec, cEncH, cDecH, oEncUrl, oDecUrl
   local oStr, oEnc, oDec, oEncH, oDecH, cEncUrl, cDecUrl

//   FW_SetUnicode( .t. )

   test()
   return nil

   cStr := cEnc := cDec := cEncH := cDecH := cEncUrl := cDecUrl := ""

   DEFINE FONT oFont NAME "TAHOMA" SIZE 0,-12

   DEFINE DIALOG oDlg SIZE 900,700 PIXEL TRUEPIXEL FONT oFont ;
      TITLE FWVERSION + " BASE64 and BASE64URL"

   @  20, 20 GET cStr MEMO SIZE 660,080 PIXEL OF oDlg

   @  20,700 BTNBMP PROMPT "Encode" SIZE 180,30 PIXEL OF oDlg FLAT ;
      ACTION ( cEnc  := GN_BASE64ENCODE( Trim( cStr ) ), oEnc:Refresh(), ;
               cDec  := GN_BASE64DECODE( cEnc ), oDec:Refresh(), ;
               cEncH := HB_BASE64ENCODE( Trim( cStr ) ), oEncH:Refresh(), ;
               cDecH := HB_BASE64DECODE( cEncH ), oDecH:Refresh(), ;
               cEncUrl := GN_BASE64URL( Trim( cStr ) ), ;
               cDecUrl := GN_BASE64DECODE( cEncUrl ), ;
               oDlg:Update()  )

   @ 130, 20 SAY "GNR"     SIZE 400,20 PIXEL OF oDlg CENTER
#ifdef __XHARBOUR__
   @ 130,480 SAY "xHarbour" SIZE 400,20 PIXEL OF oDlg CENTER
#else
   @ 130,480 SAY "Harbour" SIZE 400,20 PIXEL OF oDlg CENTER
#endif

   @ 150, 20 SAY "BASE64" SIZE 100,16 PIXEL OF oDlg

   @ 170, 20 GET oEnc VAR cEnc MEMO ;
      SIZE 400,100 PIXEL OF oDlg UPDATE READONLY

   @ 290, 20 GET oDec VAR cDec MEMO ;
      SIZE 400,100 PIXEL OF oDlg UPDATE READONLY

   @ 170, 480 GET oEncH VAR cEncH MEMO ;
      SIZE 400,100 PIXEL OF oDlg UPDATE READONLY

   @ 290, 480 GET oDecH VAR cDecH MEMO ;
      SIZE 400,100 PIXEL OF oDlg UPDATE READONLY

   @ 200, 430 SAY If( cEnc == cEncH, "==", "<>" ) SIZE 40,20 PIXEL CENTER OF oDlg UPDATE

   @ 320, 430 SAY If( cDec == cDecH, "==", "<>" ) SIZE 40,20 PIXEL CENTER OF oDlg UPDATE

   @ 410,  20 SAY If( cDec == Trim( cStr ), "MATCHES WITH INPUT", "DOES NOT MATCH WITH INPUT" ) ;
      SIZE 400,20 PIXEL CENTER OF oDlg UPDATE

   @ 410, 480 SAY If( cDecH == Trim( cStr ), "MATCHES WITH INPUT", "DOES NOT MATCH WITH INPUT" ) ;
      SIZE 400,20 PIXEL CENTER OF oDlg UPDATE

   @ 440, 20 SAY "GN_BASE64URL" SIZE 100,16 PIXEL OF oDlg

   @ 480,  20 GET oEncUrl VAR cEncUrl MEMO SIZE 400,100 PIXEL OF oDlg UPDATE READONLY
   @ 480, 480 GET oDecUrl VAR cDecUrl MEMO SIZE 400,100 PIXEL OF oDlg UPDATE READONLY

   ACTIVATE DIALOG oDlg CENTERED
   RELEASE FONT oFont

return (0)

#endif

//----------------------------------------------------------------------------//

function GN_BASE64URL( cData )

   local cEnc  := GN_BASE64ENCODE( cData )

   cEnc  := StrTran( StrTran( cEnc, '+', '-' ), '/', '_' )
   cEnc  := RemRight( cEnc, '=' )

return cEnc

//----------------------------------------------------------------------------//

function GN_BASE64ENCODE( cData )

   local cRet  := ''

   do while Len( cData ) > 0 //! Empty( cData )
      cRet     += EncodeSub( Left( cData, 3 ) )
      cData    := SubStr( cData, 4 )
   enddo

return cRet

//----------------------------------------------------------------------------//

static function EncodeSub( cData )

   static cRef := "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"

   local cIn      := Left( cData + Chr( 0 ) + Chr( 0 ), 3 )
   local n, x, i
   local cOut     := ""

   n     := Asc( SubStr( cIn, 1, 1 ) ) * 256 * 256 + ;
            Asc( SubStr( cIn, 2, 1 ) ) * 256 + ;
            Asc( SubStr( cIn, 3, 1 ) )

   for i := 1 to 4
      x     := n % 64 + 1
      cOut  := SubStr( cRef, x, 1 ) + cOut
      n     := Int( n / 64 )
   next

   if Len( cData ) == 1
      cOut  := Left( cOut, 2 ) + "=="
   elseif Len( cData ) == 2
      cOut  := Left( cOut, 3 ) + "="
   endif

return cOut

//----------------------------------------------------------------------------//

//----------------------------------------------------------------------------//

function GN_BASE64DECODE( cIn )

   local cOut  := ""

   cIn   := StrTran( StrTran( cIn, '-', '+' ), '_', '/' )

   do while Len( cIn ) > 0 //! Empty( cIn )
      cOut  += b64_sub( Left( cIn, 4 ) )
      cIn   := SubStr( cIn, 5 )
   enddo

return cOut

//----------------------------------------------------------------------------//

static function b64_sub( c4 )

   static cRef := "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"

   local a,b,c,d
   local x,y,z
   local cRet

   c4 := Left( c4 + "==", 4 )
   a  := At( SubStr( c4, 1, 1 ), cRef ) - 1
   b  := At( SubStr( c4, 2, 1 ), cRef ) - 1
   c  := At( SubStr( c4, 3, 1 ), cRef ) - 1
   d  := At( SubStr( c4, 4, 1 ), cRef ) - 1

   x  := a * 4
   x  += Int( b / 16 )
   if c == -1
      return Chr( x )
   endif
   b  := b % 16
   y  := b * 16
   y  += Int( c / 4 )
   if d == -1
      return Chr( x ) + Chr( y )
   endif
   c  := c % 4
   z  := c * 64
   z  += d

return Chr( x ) + Chr( y ) + Chr( z )

//----------------------------------------------------------------------------//

func test()

   local x := { 14, 209, 33, 83, 121, 99, 108, 72, 60, 47, 127, 21, 88, 7, 212, 2, 163, 178, 40, 3, 58, 249, 124, 126, 23, 129, 154, 195, 22, 158, 166, 101}
   local y := { 197, 10, 7, 211, 140, 60, 112, 229, 216, 241, 45, 175, 8, 74, 84, 128, 166, 101, 144, 197, 242, 147, 80, 154, 143, 63, 127, 138, 131, 163, 84, 213 }

   local r  := ""
   local s  := ""

   aeval( x, { |n| r += chr(n) } )
   aeval( y, { |n| s += chr(n) } )

   ? STRTOHEX( r + s )
   ? GN_BASE64URL( r + s )

return nil