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    Audio Spike when loading a Neural Network node.

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    • S
      scottmire
      last edited by

      @aaronventure
      I placed the neural network node in a soft_bypass node and for the life of me, I can't seem to get a reference to the soft_bypass node. I am really struggling here....

      My network is called "theAmp" and the ID of soft_bypass node is "wrapneural1"......could you please show me how you would code the references?

      T 1 Reply Last reply Reply Quote 0
      • T
        tomekslesicki @scottmire
        last edited by tomekslesicki

        I'm running into this issue, too. The problem is, it also happens on bounce, which is rather problematic. @Christoph-Hart could you please take a look at this? I believe this might be because of the subsonic noise present (denormals?) in NN networks - it needs to be filtered out, but if I'm not wrong, it creates a little spike before it gets filtered if I do it with one of the scriptnode filters.

        1 Reply Last reply Reply Quote 0
        • Dan KorneffD
          Dan Korneff
          last edited by

          I've added a filter to remove DC offset in the Neural node and it seems to have solved this issue for me. Gonna do more testing this week to be sure.

          Screenshot 2025-10-20 201343.png

          Dan Korneff - Producer / Mixer / Audio Nerd

          Christoph HartC 1 Reply Last reply Reply Quote 0
          • Christoph HartC
            Christoph Hart @Dan Korneff
            last edited by

            Can you upload (or send via PM) a neural network that exhibits this behaviour? I can take a look, it's probably a trivial issue in the reset() callback.

            T 1 Reply Last reply Reply Quote 0
            • T
              tomekslesicki @Christoph Hart
              last edited by tomekslesicki

              @Christoph-Hart I can't share the networks sadly, but every one I load does this, and I have 12 at this point in different projects ;-) Could you please take a look at the reset thing?

              @Dan-Korneff sounds pomising!

              Christoph HartC 1 Reply Last reply Reply Quote 0
              • Christoph HartC
                Christoph Hart @tomekslesicki
                last edited by

                @tomekslesicki you can send them to me via email or check if that also happens with the dummy networks I posted in the tutorial repo.

                I don‘t really feel like training a network just to reproduce this issue as I‘ve never used this feature besides the hello world implementation.

                T 1 Reply Last reply Reply Quote 0
                • T
                  tomekslesicki @Christoph Hart
                  last edited by

                  @Christoph-Hart here's a snippet @Dan-Korneff posted a while ago - it spikes like crazy:

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Afg12.wJf6n1K5tqmaClyxAxE0FZvnYeeoCHhDspoX9aJw819HSTJxJjj.OmYZFroawfejdoBTnnQQ6eLJMxApfKqzzTdvCYskMQzCelLDSUJO5TQIsGMqS.ltdNoX.x1I.ItVMcVPKWx7LuOFwdu8kRboczJ0I8Xqys6yBRgtzTNYM5ZbcKNLXiDERL.DeTug01Z+HahxyMspUI7s0F5IeDxaF.dDjn1G95nKerijbqQiDMk2hBhTAlGJ5jkaGcixF.fGU1oJ3ts1jZfLxL.zTaSJNjvB1Lo77M4Ij.e1WjxFnhD.zuXLi1tuqFEtSeHkisjqwqZKGkj.nkK+wi8mUNXbSHlwF1RMgDzwHPYIG7J5jwtTSSuqNlP80J5IG7et8imdOz.qPKp0lou7oIXJW4p2oB4lDdkwb42QAWpP8SDi49ifKhgADvImwKGNqvXQmYUHScQLglTxbBQl45ATHb8e6XLo7jo.CP66PafjTskVgyI6iFj6Jibr+LKC50gxQvLtP.jRkxc3s2hdjhreEy1VBj83K.fRqQ1Dz9+xXucTlXuor9qM9G66p7ozZj+OEy3g9EVyj4XkxjgqkCVSiciZfjYllqDPKZXlXtB0krCdWT5Gy6qDG0o0QA3.NlLsDl59efGM8RLCTTGJ108nMVwvbbvj.ModsIyMmy2UlQxCdsWMsQ5ftjon909jQLkVcSkYn6M3bgQFJs0lN8YQgXRyT4jvzLybU84rOiX1nnvtb25TCyTTxf49W5.3+9hjH0RxdCoLZjIldIhvLcXl9R.2mrLtNMslU25bEXxwrsIeg.i1817NXXOZfyUFgOWsIilXRJmZ0n6h8+fyW3CeICZtdP.BOxju2hdBtG5wT.tJNrnGvl1tpyeDRbixPPGtcvZaI2wqAQq.BZ2uIU9MYaJCrPIkZtHoST5+CJnE0ZvDSiV6XvgXTSWGMyPFUi4HIw3FpTA12B+HUVkkJ9tjEASixvzKotovzq19HwD.MIOOkZs1vlbFmRfC1FsObnjIc8zUly01iB.ly0lEFb0BnoWGCF6m0oLcWoEilaK0JlYWklfyXksZU4Kce3+D5i1gvXmDows+hKiwhvUTRmyUeeW0nTGEsmCr7NRNKBCZdNyIYSlQalouWWDivNn5T9QM4rHWs0zf5MhY8jYZrU3+xKqheSlyylCsKlryn94Z6+vflxkbornXi5YW+B6GdOkgmhPoRmFWMeu90GtJcjzEHMMDEPkNYVHvrt6jhhOHAZ.0yQd+P+ps6MFlKJ09X3Z.BMzf9U20xVFLHaFnxJkNjBH1sFG0xf9zAfJpLlVtQqQVzIOHJxdYu+vACENlAnoFUSc9ThE5EGENWgUqfNcwktX1PlTDEZ1jAeZMPJcIZHtbrzMmuo98EEVfbJa5VcO2.y1xIaK6liq5TQFPRY5AXteqQocB+53mntcGZjLTXyO0acRzwU4bYuWwXJGDLoSlw2PIvNntqxQKS1fqwh5eJB1Tfc7r4AoC170SPMSUAMYgnkYvllLSC9I2aI3f4seRaEi1O35+gb.obHi5aiEOS8TAvkx0irp6JcGnbQqxZwaE3evTfMR0KAcODyj218FAUOzjuXYs0fg3DY3QgZUvTZUouegSFhnOF8vV99xXRVxJ8.J3XotJlA+BxdfLTYzsKVnC.fohyILK688EPgt6JynLNdEfKa2hubvqRB13.H1tusof3BPBddF3AeqktFCiGvEQOMq8AeQ5Dz66DnzVuIuuxgLCFeJPPEAv9RNvAMFJEYkERoBNGMQO.CiHCiQIeFlXMhvaI.BPJ6QdXhoih2yctoGGSwFab56TG3gWTbM4sGsZSum0mxrqWWZmOlMj+dZhbY5nQBc4LWtx8c2fzrDNHVT0roLPOLnaQthitncp.5loSozYTZB.QtRNPQTTVMxkVT1+koCjLlnrH2F5guXVoasRLIYAafXPgNUhaxvO.jRYxNK1o0A3bnWkckmhYdlYxRSLAsin7+FXQLX.WWY4i63v0w4L4gANXxT.EGbAUbCMnoEZ0TpZ3nHhVToyWobDokgba.KlDWGwoQEg2e1Jc.MHP87oFM66daggjrAXH2GlKMSfVMKahc.2xzEwAU1lh8DDSxXt8Qlp82XNOz41Z0P7KYFIbYYhziqVXs.nFoG7GgW.SsjVv7QJrR.J6z31j5BoXuzaQvpWYOR6kQ5JnLiR4q216y8.xjgZEKiFohoEjJ7uXFLZLQ3CSPArIhtllGTuQCcBnjL6JCyocb.qLBu.lV.54bqGyXZFVAv4W4dv2OICFlzFtB9eNJlsmoblJW1BfjxfBa.oBSP.KGoSEKaerkLVX33l586ZlGUVTusiRxbTLr1fBAdvPJKyR4wxAtxFEfPtR3WvDOUh2IDvC8ez.giAtSxELKWMSiEAGQM4WyX90WlksfN+fVJVrE0E.3fSTxfAUnJaxpRgbob.ovaUNor2lObOBTjFCQSYenkGzaDYg6KFtOyjrAa5AzyqwzZrOdfC5vkLLulw7+ru.DSbPoqES3i8e9n4bv0ccY1nQgeMcemFjn.ifV0BdKzMr1JP.Jjp76XbmjWM53MrICC9ichvJrwWmpzuV2r8nvFHxPmdoIanlYWexz0dnbS6ksi0TBCRyUghUL.9GFbFovJUHALXZz6CC8VoXnRLqp.Y95djhAll6c.RXNXqCSb4GmJ1KXlyTVClNUJhbAJxvLYg5O+AdpBPzh698mtoEdfEZEThxk2P1DLuJz5fdLSQK2VTlC7N.OuPTtl4PDlTR14Z.bTlz2gicVht0zHiWEU79XKYbhBlN4X0N5lhZy.mxy7hsnirI545X.+VAVWqtRfqrGAs7cPg4w59J2Qf7qNTQh+YldL2fGQ5tJ5kDYRerbnfNSi8SfoDFpHSsHY5nGsX.C2lQSjOuNLUHePZLP2h4Ix4GXfNCxuX4HssnR+LywU1cah3moTB3DNXnYsT5DU7gptBH4SikCKSJGhUNZoMAPObSmLSt9QCXF.8gXXH0ghCTonrfWF1eu4Ve.Aop+uPnE.lBSCrljmP39xFo4AXHGnv.f1cPaLA0pAIslXbQllxZImVU5uITckqWWAcLNNf9KSmJhtgCGpm.3xRYhLbCyrNI.oHdvfZ1bkuPNwGiSkYS1dxFFBtfExQTLZGfZ6SL0.IEkgDSc8BRFFKzDMLRYLtqfzyT+W4Q.93zLBCGPIP7VuDC.mqaWLxaAyigoACkvA5YzBsrlcX1cHO9ZOwDxAhWglB4zo6l5bRgLec8BphILchpR2JMiTMwcOfEBHqnggIbl0iQ6.eWf8IGrivMaz0YJImClySJhItVjQohoSu4LznJ4LPFWFFaJvgr1fnyg0HaG2fNxPtynmV.3CFKdkfNWOHSmwb43rLlbbsCU1c0AVyr7ePsSzZgBlV+NCCodC7Xw3n9XhCOSkOKAikMho11fDffQWfAeYHFoLdtVwPB3ZKkxbQ1mZN1WUN7kSKlwbPZv9WiC.8FbuRUQ7MLLydp1NHNAfra0DNVhY97.N8dQuYWF3NbnnjILccXeZnTUJzdA+4G7733xBlflF37D5A1MI3LBaUlAJRYsalMG3vhgdajYHPlq8nvEjIoyq3CGNIu3KPeAKHEhGxgIYcBb.2xjoIR08jyKEfRAd.EfWA6oNmKL13v4ovLNNXb1xf5Nl53AXnzToFP2tVRnKKPXqFloJnLVnnHk1pAKv8f0UZMP.UZ4x3BPz0w7O8CzX8.Nm3DBJmTDlsl0UzozJT4RlheX5+8QLvHJUtAb3+d2xoXx0k8fYLjUK6fR2G3VFFmF1tL6RDV96YN.mkijglQhwpMSgfOBkGXeUlY6l7MulC9m408PIwQEt50bMa1abPzO.SD4OuZRaNGP9l4MCPPYF3FfW.6hHPBkUogygn4XvsM5t2gjpMgVoyoZKM8axHHFAW+VpPW3Pr168YoXHRASjyHjA5uu2HXGT8AFrhIHXqaPuILC..YUFTsvJOSt8nJGwrLL2Oa4sns1MDcgRtLc.qMJF.vXBU4vDqzhfGkKVnpdavfcpfMzQR3J2zifns1vE4ClrBSO.mXFRd4YxsX5hLHTMwLi.HoNFlzNgzIA5bkjN15D3BXxfEKFvNENtJi9oCjj0SA4MahaDNZpMQqCTNjcSDXJSc.nJoltboXkSwFiAL4nRgxQWq5SVE3pbP1PtLg.+p.ZyT.Kyoq6hInUAYN5fZ.sG6EvoTP2P5+Kj1TwzmEFeelOU.sUStCSF1pYAwXojQR3t2PfgvlAf4NslCtsbtuSjWeTgbmFdTBVbGdESVnU3ltgGdPJNDmNbthIbWF7MDxfXR2c8aUgvPlVsf890yuYCUARPCEaAuFCybofX5PJskI7QhKnM4IdQtYfai0vAnUHmZxFmAhpXncwbm4yDPERQhalTytqaK85QLXVlAXTuEA0tTogQ2L5MTg0dPjVLY21wmu.5wTNkn+Ti847w1hX8fLRlN1wk93TigCSgU2ptguFsLPohzBUaXY.zcANdUuqyxNh4nXFBPMPUKwIXYS5AM7QFpaQOOLrgCGRVcFsNXWroiCrWSlMF41BZP8nZbHAdW3jH0.BaqaixaAKALXN0HbOmutnp5A25wjPXxaQO1JVVV+PiS1e5RFFKT36AyEhLVt8pgo2BkIPN0gyZLyvBCIFPdYkc78VllJOhtbyrhYjxfYvhVSZQB3OyLtD.C2dPB7yb2Plz.LMbMuVv9tsjY+QNWBhgiQxHsubCmXsL3TLny7AosZr+x.X.MmAe+Xh0qH+bYF7EN8VZNhILiB.UomQsso8Ey3Az0GiSFPFxLEKifG.6HlSTMO2f8.kSvvUfGCljbWPYLtIL1zYp.Sw4gFrqCOcIydEqpioyfL9rLJz52XXvFbmp0jPzi56krmTHlGAW6ehbALmBpALjnfkEhC2X+MgZkzXFAVl1WHeJmpe1hA8qV6N.oivjAbZvWiYJBGETVvH.enfNCcWkhoiDpm.vS3XpwFsjl1nmQ8TbyjJTzBv0F5TrmbZ5z.gaT9kPJGRtAmPlGUbdyfd9cE6BJ2R6S0acHFDkEy8FNWwBCykEpPPos2aDBNSPMmXFyIjdMDPhBy0OvzbYkYN38H.0hRGXkcZTYCYcBZlBSqlPkQDKnnyybBAPp5X3rDLdBmdcBMWgDofvmUh9xb1vMIWLamJABF1alxh8oCiElCbAzspoDMGAw.EJCfIRxodhGSBgiNYbfao8JyHGsAsCLI2Td38nHjDmYCMvRPKNNLixgWD4CFEggijofXKpn9dJDt84KBqyAM+Q0tZoCW2.jwN8Tz6D0Bhmv90ZJJ0Au4g0CbjpHQIvjxC5cZEC9Sfxl5.mxBvxwza+Bi3bJjhMPEgAE40fB7T7oT2lV0QrDCZ.0nFDX7wduhxMDnNedPZiSWUHIZ1XbD.AHFTlBgBsv5Nrc49TzJPc7nFIDKoi3aWAUDGZ2Sd3XMiIjs.gvdRyZ2utEX9P2RTJIL0rOKJrIsBtRep+m8mqTjOX1sAMEYFdODSIHXInEAj4MiLBMAOkPsRvvYtPSAWHfoK8eLLEOJUiBfFDHmdo3RyAhqGw0.BdolmtFzncmAzBn8cllNRdYZurbY.hmLgKgrtQwrgJTIAImcW1d1fq9X1cL7BB5YQv74Jti1dKXP0sTqDtVkkcxzHcftceAhSHGQCs+i7NzCTPX.kJA8.8p1AH1JP1rYbaAGKAQomLbUAibIDdKCIBkSaZIWoNEvcFRMminCoAoDfxL3hOm29BCdYm20c1T6vOWEYnMna1iPALLDACZiUuEONKq9UAbu6f37YHUFtrUyP..vMnGIq3egHLw.2lNA2n8o80YoH5hNM+2DaEPVlgV9qQ+bhDaBcrNpZuYL.BdwMCmjoPNbi8THF5.SdFbf8ZPV5cQitwxDVz2y7C3ChhQo3i4.iB8XO9XgONQitkQuQ0oMPYHEDFiC4jStEsF7Tn+MfHHzmgiW7gwtwZJQtMllBElwqBHohcI48.VfgKEbGRwqzy8dKBvBSqPD4iAKt53DbpeKMh8zrqseqDC9gBPtyt08xf.Bd+DIaZAnVL8EDhPXTgrQnh1IaenH9HPWWfYXW7ZJfwLMfB1nr4TGRzh5vcKhEV1pUACxrlxo.Fzb5f.puph9OXklZ5di0cNhAA.DWWBRDwnQ8qPPCnJg0poPCXRhOgsriGGBtTg.GOIVHtyIAUYP42Y1MKldWGzPfhGFtqrX3PpVP7J7DP5aMC40rXeOLELCIQ03ERmWgfwnaN0pis0ZQ6BlcJb.rwggc8XrvYvCKnrAFvqRFjsJRSMfxvoA4mpSJBLHiU+xPuqLSGPnivcMFVC.M9kQCeDdhLMqRw0AWzRZY5HqSFdh.yancJNFhnGy9AOFS3MCCHIAQ6TGmFZeWwIDIxKUEHskzqbfAjozpnPAny5582b5t2H.HrEMPrVyMJ4LfAvmJztijQpIBoYov3NbXnU9P1smmDdiAbLoYtyIWH4SC3aP4NLHrC9SKJtTqD7.79I1phn3BJpzY2joHrAzbQz1Tj2to1j1ARMenrDjkpq23jrWYFDBkqKof9FHoK4weA52GFjuP4H.LYMhlNa.USsFJ58HTRTCGRQFKfrg.24rSc+5mrGn2hvWoPkOlys.nXTP8JfdxjgyjoQ.rEnbVLa7zSg1ssnQ9PsoUKKwizDA4aUbDNHwowX.HeVZky06oA0xADhkwVpSplXLGfnRQcMalJkhJWyvicRX5bcC4HpiChSZYTbCBID+yJj.jQ0zCGniR3cQ89V46YfFBE2cgPxnfdQ+s2WXjNwzkvv6XczVVH3Py7kOeXJTCTmPyJ.K6PMA08NvkArLHN+HGLrpwyYnPkjiPnM.FgPGRrlJnqn.gGObTxQLS3GHt2L4vNdrENcrPgRUT5zYg8Y2fnfBNVfq8bp4gNfPF3T.pR2vnIgjeQxP7V2VzXY5B8TfAJ+vPUiSTuKL2BFwNpN8CsCL1gj+ykkSDjoXzAuSCMz2cXwlZtvnHhNYiLSXFnbv3ZDK1dlMJJYbTnVFHLXs9ioC2FgpeMgNaMH0rGjzabiaN49hTZ5vCwLnJGlKtG4UEphALPjA.UPB+5Uhdz2OlfgEIHozLcPp.poMI8xgDvTQdzcrcfRdDsAoSvwSpfm64fgcC1+Idku+4nfZthnPxBhwXNjsXNxeDvwuxNSRg9Nm0d4kipOZPmVx1QKgfg6.+.++Pf5AMR5Y59CiqxarhI4ELciiEJo2N0.9w.RFSETlTg4Q.xOvkkYJ9TzIbiAaXzAZmHITPrfB010zlhRjLQ8DWN5zAzSBWCnFG4kn0cU9T26NVQiwJ7vvXQYkDKCV1D4OH6qpZ3HpfV5IaelNpUPBPIRsP4frv0D44So8hSK4.0MNlSzZ2F3Iah2q8mtPqcqH1EGfNECAJOYljOBlOe3hnWlBzdCZEOAnOM0mDNpqybRUgSoc5bDMLIxLrx7.3jVVTIsgdRXDHsLZPv9AT4ZZ7zzznyV4DIdPwQLCPJHPBDLh4lhIKAH0kkLfEzPmY5aavMyUDXYTQzpCpKfxpYve+UCGbw.9K6h.krZfGZya6JUHchS7Q3XzzDIvqGjZBP3d4HxPzmRHvyFM4vTxpNg4x.Zvc1wlGJblLlYNw6nFgEjdT2qnmeqokLvzFznBJP9u1g.NeBOf0.I4EmHmmCosEzy1C4Ry8JOQ005f7RTZQiNc2nonjaHogu2RcB4rBT2fBFUMpa3ASiIEVhp0Zh7ngtWNlQkCbrgL7Rdvi.LNNl4+pfbkTIuWPUee+bnwmeJHRkr6aFicP3FDwQzO249RggVHoSI5cWlbKJlI.FU+lAM5fgD2XhYA7W0qD5Aw9abCd8FxSBBvp5H.Hkk9fAnRKCybyoHXL9YP70GL7saKYVBZl8..1hdaLcrOh1+F5TBEpZeCPNwMtHPALH9xfpgiDOXp9QmBnI+tZj1.eMnuCcHNr1dbKpnzHbd4cSQHOMRm2fvuVmDQ0lo5qL4uCjdNciYXLMxH3hAyhZj1sDY3AgXRv4kkqo8Q+DnY1czggf6JLuTvrUlQlYBgot+fBJKMv84DpDLr3jbTxnk9E5YiI4sAC1o7fCS663KHkdiLGF4J.SKmrDSKb0MrIcCQ3bZ.jdmQmKliDsBtO5DZNF8tm1OyP2sOcuwLnyZTVpiTx0xDvD+pgoQlysrw8M58B4tQBCN4KBpKuFc5WgHObX.jXFolRwbEaPYdMHY4IYblnfUtASp.htCAXt3lyBbHSlMzu2ilC5hXgFPlQydBf2XV9.jACv0Zv29MiXqjg5hCIlCYt8dKYRpSKMZQVq47hAdxLYY813zv2tWQTOAS5fMcgtpsyTHz5FTeKiRRuYBYCdRIzF6AfM2P+g.PevdGMaU6vMMrHlzIlbektUo3T3pNQVUok0Mi1.bZROF.ubHuEyMtBm9N5wyx3qA77YNtOfrFPJq6VgbIlr.XQ.5OpatIGyN7L.PiukcZwCGWaXNiRisbjhAfhmIRCpQ1.0EnFcvfJp9UwUpgLyEBJJPA8N0AoHpQCvtohHblrrbAB3NPtjViZ9.hxofoClDWGPUKYFqLkdZBjTZNHJyy.5M4I.BxqaR6j5vByUrhQLyo3WHNF55JfOYGvvXpxh5RCsI1bzcLQLETwakQC0pABKX6.Neo2JFNepQSHfVVQiJ6F9JjRZBqbUxZmc027W5Xc.IKXsv8gxpLEvT8AYmYfEODDckQHMEpqPwUsCfh3hFOUbpNOvEDJzGEzZTMwLgnlC9zpLUskCGFSRDPOhfvxvqmvXFqVkNXdLYxBLBmB7+4XMF4fQybe.Q9HfWG34wT6ezwCD4AJC1dDJ78xuanA0vy70XZO1ycFT7N.H2QfHd2DySciQzboKsGYm.xufEcvWKx1tozALHszaOPeW2ILp0v.lr0L51tfq0AhKsQlKcSkR6Xs.t8B.XzM0fBpmHC7MWvBn6aDXeFTOHUtHaF7Fj9P3t6.6eYCJsWL5fJJSfpTu3nl7UL+aPuuSbXYPHD06OFyIFMQCcgFSWRvMaLs7FIjT1a0FSF2.F9Qiw49o19B00nsc6KitrrnK+HDM6wV1sSV4x4AxFZ8NzRYdLfcATtjYlNxlSn.CX4zY9pgT5MP.IGLzFcNcQONL8OEx9S16YBpnjel4hMT8CR+svKRi5kpsyjuNy.GvVr6xpf0sxfYDywKGJk1ZH01mPUmKO7YnTB4fp1x6G.BznVrYPShYWpQ23zBbJz6QXPCSgcg4GxPQyHDUYC+0vL2rB3REBn3V5xE79KOxw7rSygbjEcLvYMX7ugi4MIGxHMkixWC9biPs0VCzyrfMobZj7f1tRGg.a4lQbEYJjJufin8QPyv2M01zfqfV6GSAFm3BEFAd+.iG2a.ZE3lBihRGVRtlfSKQAFcnbhJdFS1G5zcGMPrnysfsi8A1QYqgG7PfcZFnHBObDScYi3dVNmazkQlbpf7LFFnnfF7Ps1XFYZNldhQHfPni1a3vshxNXvrlSU+Ln8OyNeXHzJhDdwjVCjpAD8WEV8zkAIgQsfRDfB+RFFMm5CQ89ALXIPpv9n9AfF74Dz8YK3B9dzJQhfSxNJ.f19FSN9jj6SF5rhmTzZHFQLpnoQ+TxP6+Po3b0tAMAkwfsed5cI3IkAD6L8qCI3zwYuLDrCjJCJdfgXc0QqRzqGYkt3HaX8R4T5RvsEJ9NimY4qJivIxPqlFl3kPtWBicLqUcaqEFAeGWOk.tgrDAE358dL7dU3OXGaMuz8GCBAFCMb7KkrkrNY96MmcoBrcDBw0jQ4xTQG3MrFsDIvcYwQkNDeEC+k93QPNlFqQqEv.R35na4AK5SUHuZIC506Hg6T0aPr5x0EZzucvxChipi5pYjekYZpsuh6crepWXFq.SqPaQf838PNHH+mLPnmpqVM5BDyVAN4TdNGaSaIQYokoQDxEZjoCz3KDcrNs.FNow.aPJY1fdNgT9tLUCKR6TajVLncH.E66svgbvP47Y3NSlrTkYIv7bMfvnhsv7RLwJbHI50XLG1WjlHfZnT1CHPImNXfBcyNCpOR1Y+.tBfRlx.WYZFG86eQiHfi0Mpn.8Ul1xr.UVGNwjjZRThB3Av+yUSvaA6qQvGxbvQw7LGdUnGl.iQmPbRMGw8BR43zpHzUFSsECZdjW9vnYSQMDC5BbOW2Q8OKrOMCvoVl2JxdKcU6PQRNYRnMaSglW0ZV8HJkgCnPof0iWA0X6TPmAXCFRAFrRXxcmt.xr1tf6LxkpooVoXxZ.zWGtwKEc2isQEfR+vf6xLL9JJxo7Asp1YjD79FzjUfh9CSetSQyIkSYferBsMYUIHlPlZGDuzbpXM3akFXy1ilQPUY33GYBauMJqtiRfqXqAhBTwbl2GPVjGhx3BRPeZxOCFGAyXAio2coFEsLtbhdz3bqovzJ4SfdyLXqsCyruW4sNrncFFV2H3gnulXQsTMCd0IgqkvpyHTOzcs6urJQ3ggFthQz0XDSuji3umHLZ8tKdof5RgiQg6qLAtUBxRjHTgfFLXjg51lH1mUn7a6yCXNH0cRGVI5jb8gSNgHVI8xFD6zrqG7+KXo0w9BNbTBEQPIBvr3H6MlkiBg9PkooMQFpXmn0ZyPauTh7lgWBtCgoNLTfamrc.c7jwpAYY2byuALKVPDR.8LyJGJ3vhI9.LEWcRULfiufZzFL6rgs+fxMgBF6.gcWt9MPJwQLr7Jph1zIn8ZuWFIYWuGMd.NxQVYArdXZPccOm.kV5kXO3x97drKE.C.NgrcTc9kOhlRBUttNZFRQXw4ouVJ+K0YnfFenUOsqauaV4QApPU2SGkudZN1ksQX5dnE08NfFTspB.t5vB1QF.Zc65z0hZ0.HJP9VDYBr5oUrhZAgpqTZmvVXFuDGHcsfEDp2wgY9ajEQZEubroGjoatu.aXvnWHZx6WLlAoeBf8PjTJVdGZgKdFS+kA45L6V5UBpJdlrKbCAmdNICqf5TyMig.HNgNC6pd8kWl9OSX4f0QHlJWmsIGYlEJzrbXmGCn8ffI6ckn.5Db01GBZ..C9KcKyQJlo.5+jdOCt5xM8YfyvBvtYTlFYngICV9cHwhx5vhKQZuG5iHnzwQHHUNtB8eQ+6Kld.P4jHvXFYFj0z8O1PGqJH2Rv9DUmSVvfG7Y6Dofce0DQFqWjujxTtc3HARFD0JJAFn01X6.RoWm+TT2TUroQNKj2JrFTONBkkyPRc.M.BOutbzkd3HjmAze9tYzFB09oP5rGwnU2brnbL78ZaJndzs6.oVqdD3FYJu.FLlTHJd8pQqFGGolknRqAuqPiIWVsgHiZvRAj0lI2TRRJm.upYjxrY4SVkV46FUee8iosBLpBTZPsCzQ8CA6.gDfwXOser2QKnVLKR.BupgVuP5dBIWGtlesmvQXLTaIPeWMTYu8lZXbTgY56ouFfLL52O5C+XYlmwP+DX5DQ3TA0pFpAOHi64H31qkcXtzVelicxBA4fz0UWhpih1B8KZl+9f0gPIvCVkX+5rdqg7XIa6zKLyTBGYRWo7c0ho8ngR0S2glL2n2aL1Jz59PInDLqwxhzWY3pSbUjEzvoLViX36kKH5l6V5P96cBA6v2x4X7nZlJFbPgHXPRzhWYMr.pKXjGsXCRhaVv6RtwM.SLcq0jAoRLrCy6xic2vz8LlXZwf2jEGBJkeM.UTFu9c27MPqUfmJNJg5EOM34eBQGBsVTLjkD0MgVxf56Ry72GNCiVTCVDZEx7poQOxgEEp5TOmLXRochzs5nMWPlaFjpRFMqPnjFkpqfAJHS3BMXbGLc3X2LHkj.R56EY7SjsihaT2cEnoRFxARTlEJkkNz.OsneueB43b1HBI5OpahqPdM4PKQJE30aukwE8ujonJl.TS+GFfsHFCAvQy9vplLaET3I3wvxvnSRzY.xSWuyg4+MM+k8aknWctNUzwCeBAbiQraeDGGg5tQAiw9uQxEUbLZqIHWoAcVYXXVDmHEaGFORltl2BQlSm.lfp0gorqAAKCkP64Pw9INT+.McmdgXjNBj7hIcSNse5mOITYyS18Yxg.ugF.TpjDP+35AaR6DLvv28.hXhXG2uYldMAecCAR6BQBxzFdQoFfBvji.mRYjCTzknd4lx1Qix6YFDnNfqyvIOGLL8uPSkLFcAW9TNBvQLwP6B3Po6B2xTf6gbtMWAy8nksXTr22imDR02AJzEzYjQp9fSTfX6olDfdcWKQKmjkNBlOcXLQqf5nZ6A0T0MTzUEZtB3PIadNa+502.g+Mnv1rYVBhwzQl4xsVrydeLw.vwVfhX.htSU.Jz8kJHCnZ55PBxum9KArkL3rGVWIDV46XA+pi7WRzaSxvJcXTQ8DECePLzHfJYmNVWH8eZ4KLgA7tkC35893jlQvvNY7TrB9BWIfS8ZKlJ9S0sUbDS5VQwX7Pg+Aor24z8xTAEbwBVbQJYT3GlZ5NgKg34Fz9t0HstonP2TlEFBIWGNQ2Olc8ZAP2avdDb2VLfIo.flltcc27hR.Dsdyk68A1PYJqBxHyPalTTjCxMENcwrxgx6DkErQ5o6SONgLGUCDfLKFF1rBe5CcUBaRTM.LDBZggCKTFwrASBHJXgFho..2GwQTRqCxRAkQTFy2u+DVoHdcnc+Lpv2aSF4AkXAHMA6VdjlV.TxXXSelPJOLSZauQtzJJIF4ktSsYBUK7.gJClG1xItn9TEXp90gi6bPvb04T4Oo.m33zGa5ZTvhDLBIUKe0bDvdNEr8ooyCc1tI2gxeXae0kOUCXlVATzOpjhSCEkMFD4SNIheHSrAsDz0WB090z24ShURCcYW9gHiRGzmaPA3QswoHQcSiHKvdOGrMYkbPG.kvhlJBkHC81sOxJ4kqtBEBtasOlyAgHjfxj0Boo.hJCxB1lVgybGGlvHrLYryF9AWRlj53Em3zCkIxD4ARB.SI4hW4FzV1fHsxUXmVzUUGs0njj60XxSV6Ilv6JdWdDiBjVH0yiChgMJnICCDsLyAelZzQ1.K3NiHmDaI.vKCH09JoT.Mec5FCBIWywX2vRPnyswrjXfbrhuLBjNDAMSigRA64bPtB5Ptczi6HDKH7FEnyDCfKQiJgHgdgAaiMUEY0jOekV10PFXMifpCBBdwnKnoTn2LfFW8JLuOd5D.+XVhYCYrryNQnDWj2IL7heNuqzA7NvQoLLHLrhhPOARvwD93lUepjYNpfGXTtapePvz94CuXVGRmBsnBUbdYfhBlMlHbh3WZKXsSAyZGkph.BMb1JvmD+DGnqf4halLZn71SFS.Rzww65Lo9HvlCf8oiM4fDCUTabd0OCZjI6LjdxSRvS01o3L.CdxzUa5SFR+Tuy3hw3Olb9xAe4CFPqrVYRlbnxAszxrJnfbVtAOTGUI72Uvv7cWQAH.DDV9I0eznOzYN.v7n1o3bt.kwYeYgsFGuldRAuf3honlkXrMcoxgZqimYJnc0pH3CjgAJimrpZJDD875fXxnzsSCHqBDG2GgzrPwRLleCwBlReSklpoCmxwRybRnYIKzVuriNLB++DYc0n6EGTbNH8MnCltgRO4rNZ7cMTJu8CPDjhVcw5L3fJYUxbNEnyVfQktiA+.hiQGqkgJGIGkkMZ5nDE+KiWcqnVqqEV6hdyXp0kRFtDo4y4QWbjIH6aksOpUYrMwQQyTYGZOJ4i5l7D37oTKbFrrMPuGMepEU4YOw6DXBYFEyXh8IBQ7dSQIGLcMy.xDy4zEiEzNEGYqLN0NZ1FknErIR2hbI0w7vQph.UgpUJDZvlZKRVrZXHpPvslQgdUH3oQ0pufDcpLqWkgxILWgIpBDVXc2Kv6lykqPqvM3c8+OA+RXXLBHC6CpEitsMSG7Pv.QndgRQ5MS8PoVFn6KYnj2toCkn1hA43DjZtyj.K1gzq.9TFla8AkalQeAwVqrLEpCsbGGtAWrm6l1ovAFn2cP1+gsuiJtZLTNNNw0bl7A.tNUHB2IvI1.2VEHDhvTvoYZyc1T9zAcoOQ8PlVq0LnrGLJt.RPCI.EwIyDlkPqj5l.qGLvc.mrScgYeWcZLhpY.0ucRwQ3NQYRYZbY4aXH48VDGIiwgrvu1qFHs.+AKXQ3tiXmQK5AoSCxAc+0J+DHFfv+IoU2IMPQW7KjsXFsHy33Rt7qD5ag2fI2xLPBjRe0fIapNPxPbaJrCk879XYYf8o8qZc.fLlMu+nV1KjUFlinkSYTzGwFMuNPSukP3CE2sCusLMgKAe9f3OBwcMxF89AZMjn0GJsR4HvA9LZyPv4Z8PuVqNkQg9rES03xkkM08qVXNvxfREKfqfksg0dowXohCvNqBvHoFLj+p3nhNHoPkqnR.b+vveBxsmFALPwZYO8xoOhnVlkYTUHCVtRITjbftsd1KtfOfA6U7+A.0WTIDCO.gVOPDHgXBk2knMyGKv7f8F4h6sRtCt2YV2PjMLsE.AmCYXVoxofDllQ4lj9PMUz9ZsX6J0ek5pyjKyHL6RuEbqBAqvvZsLM1gyfz2wIVTatQBBR0L5F6fnjaNkgFgLBU.fpJWbZsSJ3pbfTbPUSNfSSiawdmbrPkkMs5ZFgbTyySPzvz2nvyBMIzHtpQESv9zB15uB2FXT.o95HXSChnsYlo7B8bfQySK4FswUtsjII.2L6VsCX4.EnYDXgArt4nQLriQAd.e5FuhLxqCjgrAQ7suAjTHYnstlbd0W1abJmhzxXv+FNIRAMhDB4JEvzxzPkAt3VgxMoXO1ZySwPLw4LPCDz7s2yEYwAj3nZ0CCyTJGsIlVXFC8zdOygnmBN4oL7Fw+MloEJpMTnQ69iBdNNMamiDjelgiBY9NYX44fJjPU2rrAOuvb6CZmpUqp0fIN4IRuNlCCCaEvHtE67Uf8caANwADDdvcTxksRFK7zBg7hPV4TW.nscphAbdmShRymFS3X7Olly2MLiCkio8+8dwTwsDrLMnrfirVNEGAOr.Uni7IXZ7RvrCUj+zwI0p17QrS4kF.AKcN20+LZRzHnuTF8aSjrMHJjiXV..dbl1zrHA.k5IEjeXF5hFrNKZDWnkgFwH.zdj.uQz2aW+lKn05znnET4kQOqOIrpAidqsraeIB38nOuZQI21mZXCY5CVzlV0OVNt9JnFGXhzDs9duwNPPnNxlfU5L7dOj1tRJaEZhqb0ZFjIDmKFInPZk1emgvuGzz.YeTlmxlBovTcASZp68b+AknmKji.T71vUo4AEfsA4sx1YydHFNkVH2tTtHGBqoT8npqDm9dmULB4bttx+iq8BCZqLDh.D4TaOHBykP9MPmHYGhAvZPgS.yhSjJ8zndBGon1wsthH.BBaOMJb.ZCYQtPjUlBuSCZwNdFhxsazrl5oVPjZHPVkpSS8voBV4XjBMCY8BDAchMaASP6qZPLX3qCXeJjMCSwLo7ELv.inON6esP+GnJengIyrIsvN0OOsHANqVqSOb3D3DngObrn.5EkrFv4Pro6nM6AC00KEUdm0YFW+EZo3n3XYdLKWh5Rz5GNZFHvfwjRWPkDMAQv3VvQf4jpJ0LhYM0PTuIgQYqi99PWozHGoEB7g1iZnbD3jUsgiY3qlMz4LCwA0QQGzQQNrTNxXdZP.RJRoihi35HhG34CT5C24PnN3JIAoLgJgHluu9EmXRgIgaHu2qsz.ZGlirEgcWcvmivdPSAlfyslUojz6iCnoJDxAyD.CJwPXyP9UJFmrxjQCZqg4M0fByLxsdIHiWJLmoTsTswRvtRXq1D4JBFhdOCjPIdaCveI7AZy8ji4NVze.NwNn+MHdTGFOKkXnAfEVTTz5biICRszU6LnyPz7cmSKnw7HD5AEBcOkgNGnulTxrB3tcOpWPjryA7MlJvFSeWW0PjhGPccN.VDjNNR6cVg9rxGlLNkIWpaGSxsdpu25HIopbppOvvcF0egIZAMEqBOOs1mVOvdf9stTvqorozSUT1OlDydOFlOiQWTZWn4O.i2gov+AgpqadGIFzcXg15AKQmB3HmcZPF35L3TKZTvvgyZEGJElAzxOcRPYnMjElcmSLr698nT3DnxsD3Qx.1azfIPJLLahoN.T0DDh4Jpna0wekTqc.JGS0X1AQRXNMjrIsFuP7zLLtFCVlhPIwxxzPtiY5vtV0Bx+eezcrimn96.3k8TTBJXZGN3kqNahSJA3b..iInenxzUSDZQvjQTLynwYJpKSfYhA1GH.Uy1nY.fII5+WSuV12+sJ5EK57F5W9QZ5fsGzjRBQ8kVKaZEoxSYhVNFJW1dWrzzW3GAHuf79f4CAbIQ+ll.VXC+5cRtUjmP1MumQZjgwEcKryC89JRByQokKp5DL5uaLZmnQk5sRj3axv0fCxqAhCtB7YctiYuCU8sPK6KlNQBEoW95ftjSTJArW0ZAzDxlJolngrE3ksE7.libWlmTDW5X9.xi7cLLDWfpIjVfQduNOm.eAL4IDGZYO5fSPHfTMP.SIBx496L91.CC8RLUUFISF16HF1NH6CCOuxfL1Y1syfxDyLyD3bf2JHfgYmayhxCCIatJCXZSkCZ0DqAUslYynjcceVlixTbuCJrz9B4bDylJJrLjXukaNgJXoqam3icC850Km3MInwaWsnw8st3B8MGS0l4mf9TfvBfDpXl26LRtHhmaCVVxPpPMvMSLJ6XPvjXChrNSVbf1KGADgxpgGqBT82dUD86EJfb.tO8Nj4Ss5.eArVrxvoCI3YRXAQP.7+y+jkLyrVHyFcT5pIvN6vb0Ltxglj.oYe33FJziMRFBdcH7yYZwY7ZGbSKeRl9PF.TFqXjXQ1b5ZDuEgiYfedNL3CB7F2QAtAZ+6qGNx5mrHAWXvr.aVo6kXzgzoKxrvAPH1DACvw.jZFb4L3ASAORfDi5JatyrSslCTjYlT8BLti7dmCcXM4GCAnBuiPnLlkxxIjcoP4qUTr75wQ++xyUGjRAxbmlrHWGA+6JaXECEySV2nsS5bXKzH28CBI.j.p2cPgOMhNDL0xAzOZfJg6OPsxfBK2EwPebXxrAP6VYj5SYPfQ2z1HkVSJZ4qWO3P83pfxrxcI2ajVvjL5qMbPDL8gSfH6g7rbnnqVyokDVfyVUzXLn.IyfKWXljThEJ7CkcQ0b5dfFSAcKu.7JlhjNgKegoyX.eMrNRAdigCUPls5ffgaIzUefL1MQDjLppwogTQ4OsN.AMtravXGi5uNa2qty2nU3wvhUfalMdgNo1PHP6cXOOShx5uNCPBJoap6lbtRO536frk2+FjJrQIk5zLFmdLSPcPs1Pqo5U9gy4lrNB.k.Zlk8412vgbRaOKdVXYAYNPM9X5dSNgMirwNnZHGMCE92GknYofpvpcZWyn1EncCHE308c.gItoDZ0TTR7zdayXOT6LOPX.Nbj+.86d.ZU3Ovd30.m3h6AniL7JuuZY0.xxLar5yoY79IHdE0EipY1Pzfk9AwjS8hOb0NIfr.yD.3+BN.yIs3JZtEeJQ.qL5P9oAHP15j0fUxPOCzJzJzBMX6Z4nSqXvvSsvLdd+RGSMHHrjgTaXPaJTxI4nDEkYb3pa9.Fdd.4uerLjLHQdtZz4MXpaOCktBJVCwPu.UAYo.LDdOfn8fAZ2oWmDKvLHet1zgxgEX1Gdvi3bylJ9zYPugQbJzkXiWPDyIsapwDvuLUW63HjDaH9JEQU5vNlDAukWhCWIijCiadFt4.DyCGoin8oUpdwHT7JyPR.7u3rcHFtFDFSxqHQ8HtlbrwMXyo.pjKHjx19TlhonQuRTjqn+S58ui22XBWNNwUD5sigtr4vchYvGxY1HAC3FrDfhSl1qKWv4sI0xbR.PKmN0CuuAP3gQqgOmc7+.0wO5rM4.XJeALlmLmxfRffqXHeWXXbDS6nzAltmRg3.FSz8xikaJxm.qKn6iTALXs8pqfXkIBMMO9FNyag9sOn97KO2UBT7I9bEKsR8ranHzIiqGjURF0dy33pOQrXGAJZZNgFJzlTF1vE8YzonMfG.fjL.XASI64csLYtgTJ1vefQRCZM.qN.PBxA2TMyPLGOPKzgT0MFTUL+JSY7hqP21u1ovLkYrjL+NPn7btLhYBGqAAhV26TrDB9Kh3aGL6d+Q8NKFLGfhUHpMlDPH1iLnboS3al5qkinQA6e60OWpAVI3JxTBntb3BSQGPfJDRgnikrchIXSZXXF3Qp887pDDn4LXTWjyt8GXGxAqdCFVdMrnFU9ZBR5BtiwTRvCHUaf7WBtpxDKA0tDXjyhsREyN9.vocUh+f1q6ZaR4NRlLpmZcOzYZARUjAWHb48OzDIHnyfxPSJCNd9iw+Ke.lLqF91AAHDAFJit3ZRJDc7.9rV9AYWm63JbmlBPIAM8.D92mv4A5g6LqTafkUchqL0QZwneBleFlXMq.wLYDf9WVn7R62kp0iFxSOxnwxpDJEhhczBJKXr+VSJrxkUfob3A.yPOnL8HlzfKZNbwgEv2jJXzidfaTlBHcM3dQhFqYDvNV6H1jIDLSypL0vo7sPwp1C6zHvJPrKCCXGNowjR6JHh0FSuxQtsbBoGH4C.rALNmtDJkw4.Uzw06xJZBXNB97rNcJ2LSRDTWIcGczMOEZGGeznijGtRagVyLgMvALVtJtjfxS3..oJrbQRipFCYpLltfv3EdPrQZ4XwDPubhCoBwEFdri7Ys5tHGWHYn.qii.Zeto+jjrRHC8xSmiiO3YEl3kVQGtRMbyObSx7twOxTMEh73DymvXPa1TC8xPMiA9oECHNY.vgGAg7M0tEST5k.XB5PnLA2RslSg.PyDYL4FlY6NEiTp1fPsAJYGst.e1xfi.98aK2n8Ekabg.UzAqPFOLfGYJd1DtSn3v7I8heh5RovAU.9SGp2Rftcs+lLybXJBZ6ErBxHSWcCzCgwhPOqOscSSnKfPOPECDlkw.4ALWC1YfOeN12y0LhVd.WpQxM0rPkVU5zeGo+a3nGSF.azvNNFVbQzGTYnBdrMcDGBCaYEHrP3a6MOdJOKvvOhmhg07NgqIEyQHJzDc+9Pw.d6y.CFxrmolsJP2A5rEhpTfZbyXg0BWrv0HolQsSyf2.zQLDI9dwMIAMnxh9f4edsbytEQRirh.dFN5F34PSSFjJ9Wigwh7gFgHWo21YSLdj045fzYQEUaNKoYpLGGqA+7FjtP68oiuPy1vjDF5MfIOkTTCQT43LoR9leMRt7qNwR4ynB7sP66jWoyxEAeuz6RebAiggrSb15BiBuEi3HRW9LeVdSHB+mZ9f2Gpn94rNGaNCxKT13Hm814.7idFYh.RKFvczrs0YuiM3LqR+D19OqjG.hmTbsjQihpjzpN6MDDOpM3LlVHYEm+IbfZwhNDzCF4ndtUmBcopUhoIABQ5rqhkVzqmwKXOmyegIp6XiPUFsypEa2c7FHOzfEIFmsvfeuLbbRPRSC5K5YgMOsfeET93hIc9rVDCYqqRfC.YYF7myccTeyDj3HVXOKMMvryEzPzodIrNWaOhYkIPgZE9FqbV.TgqqPeaynseLocm40W9cYbIf41ox6mkaSSXjVICUOQpA0yc3K8tvFsPT0HyCswY+7Nwq.0rFPne1XRRuKUIlTzo0Cy95rWGRGhdkUN8mue1GO.QLdQoEums3J51AXlohJv1Gmkx0RHhCLXQbpaVJaLKzSznEbOOlmCh6gke3kPXztFExXd9kuI43gJfdzVm+sAjOLge1C0e9bmjzwiBzfDR0S5rU9JXi.DvvCc9HDCoyuom7IQhFAfa41F6kLziUvOEShync1yQPfP3AGDJP0UN61TbCgklZBilm89wHAD+KC8kbVr1DSiB58WiwoKyrqe1Ozxlu9yhTKAUpe1EG.qObSsBYHSxim2RchJTEg8k1QycALpfP4gYl1fxzu2oRSEFpavlZmK1onmlfm.XtZ33ty16XhCBnnyP8qC8Dhy4MXxbyJapob.Xzy5SlgqZA0XvnJrN+iHMWDbjlkG77liJIBEEVuAuimcdYi44aEXAkGyy2NineuPQI4f3qym8rLX5oDLJeP.E4ytuQgzLh.xJq5Y6DVTCgDn5g5khZSc16GLuKtsoK2iy4A6NdRGzSB6CTYRyO6J3DP1qrMKniRm89AmZhZlAcY1Wm6Cr7PzCAFF4SEJW+7VafrUA7prvbVRXIZILyykxGPwntFmUdnAsZ.wnZnlIkyJK555zlZfwBBOz3r34j8pDoPFNP.s.47u5BLjxjFBk7b1I++DySC7NxbYkylIjVq0YSvVEgdTNqrRECnPHgwToaHC4448Qw.p1NI0DnjFme+eElaRAfCPS6k5Fudv47X7nbZxIO6FLjzTH1wfYhOR4y+9KjZGc.f7Rxm+8B0yIPBQGiMm8HZgkvP383s2YykLBwsBKvC00hPH+l6yq4ke0+4WdG+GdsK4su8y+zqd6+Mu0a+3qd5yu5se8+vu8kO51q+cWd6027Ttj+ve5y+3Kie2ubdRO8ydxSdmule2zatIMr292e00+lO91m+U9W4+3eLJwAEMSYaTQxeXrhum5zXG+tibjpJyhZ6pu2Q6diTdzSsNNfUJpR+w8nxVBqPPdx5nNhvx8WeWyHpMCkeECPBCG68ysNgj0.xQjuLlWmw79i4ilAN9OP2.WxJ981hLIiCD6SLb0G2aHjN5dYTzclYtYZcuciY7cYpfy.9TBv3d6NOwTGqwAVdl2eRrSOKmtSEXRnUSiw8H.BXBqPLHzBACHy81ctx7jJG1cFrUE9+80hLzvaAcUKzgs6sC0Aj2PgCmvAlLHi2aqD.BkL8zSgHCXhx2a2YXqWEI3Dny2XKx82YDFv8fp5GK8ne+cDYLfMalHSSAt.tuqeYT8UXWGpY.AHqPm95GGwad5q+O+W9lu4+5+0+u7Ve3O9m+A+he4O4m8K9e+sduewO5G+ydq+p6q+8lu4it4oO+1252c4ydqa+n25u5s9wO82b8Su5cezyt5xau5me0m8rKexO+pa+827re628s+PE7xMO6m7ja9828sd6+h+R8Dd6G8tO4lKe7K+ou2MO9pm7ceue1mv+6egthO5yd5iH7l25lm9yu41q9EO869W7l+Cu424M0my+vezG8Qek+re3MO81mcySdxUO6q7G+gW+Im4mb2u328oe1m7qu5Yui9f9jO6pu3Bu3Aeye7iu91ad1Gbq9397KdvC+A273O+C93a98O8hG7FOLcwu55me8u9IWc5K9fadxM7ecbgVzt8pmd6qbg27ze5Su91ewmd0ce8E+vO95m732+Y27nqdtVVd9E56b5W5BcA28To+KBL7hG7+zC+fG8rq+za+fmb8iu5YWb8iu3AeqG9Se5m9Y2dQ7.ewC9NeyKdw+9Z7K+se3u3yt8+W7a+ie5k7o9O329+5e8E+69o+nKu8R8Q3A28oQeB+zqd1sWyh2C9QW86t9QW8gw8867vezUO+2d6MeZ7w8S9zadJe1evel8C7e+K+C9e36+4u7Kt96+IW+3G+jqd+ad907x8k+j7+3yu8pO8Ct9+zKdV++7+x+k+u9q+jqekK4+v+3mb4e+qtN77O6i9nq024gO7sd7O3B1od5Q9QW+qu5IW7ou381OUOX+Y28r9V+j+8oK9zKe1kexU2d0c+j3Q9mc0uS+NW705S4W7l4kOMe+O6+A+i4e9cOye4OmeK+dnW4w4ouxmy+wm88+C9zDav9Z9D8l2c2+ke3EW7Emwzg4Sa89m8PYA5ydxk5b8O7iuTqO+zeDey+s5+7te.qq+fO+Su74O+Jc2dva7SYurVu+7W8Y4AeiW21vabdaCGuhsguhS9eMeD+m+v2+5aezG+U+L9M9JdF04v+awy3ab5Y7O+g+3O5it5Q29xGvu4C+I+6es0s6s+7O3Ae40n27tW+5uI+wescCu5Cwou8EO3+iG9RC+e5ytRaXt5Cu48exke9284W9Iep1rnmw24s90O4lG8aYa2W1awca99AbEe2G8wW9zmd0Sd9eLNU9S9Zupj1+R4Wdymc60O827dWd6yhSw+7O6S9fa9rm8nq9g28zou2C9FXU+zWevWy9hO3pm933K9+V+6teXhu9A28CSu3G9R2RWbmW830wc+25H9o09ezy+zW7s9UW8rmGFl9VOTAR8tGW727D4zGqBWe21V8RI9du+MO4y+zO9lmd8i3ac5Jdwi9eymbymgIjSO++ud4y+vKu9IrO+C9rmKunO9W7zOPW7SezUw9rG7yCSWeqexkORKre96e4seLmWvOr1bd0yd2G8EaResm0WtOgU3etrf7GbA7Z48egokme5UB+s9g50xm8rWrbpG8OIL38MdntD94rH8Fmdn9S3u5exC+M7.7ZOe+o546YW8twO3q5A4teGyetuwq73oe6u3qzu+6c8S+UmbQ+se32Kcv6h26x+969VOj2NW7AegQ1+kO7DbX3egRGk5Z22u8pe+om4Kdv+hG1d2ZP2xn8yUPk+Em9ngkyK9a9rau4SzF5GeW.Ne0OHm9q9xmhu8C4u4+zdP3Bn6xEcAvVnqwQJdR9Se3G7I2byserNRbwc2++jGl4tew+8eY4O6g+xqd9U2d519Z27Kdkfht3hWYSxe9Ce9Mezs+c+5XuvquW4e0qrW9Uunup8Mu9swsa8UeXzloSekbh7M3I5+4WthRLzu3yw2TqpewGiWbsJZmm+q3N8nKexKtPc38EmFdvq7A8a+vmFoN75eF+yen1+7wu6c+nupOYewum8Lwq9g5A+AOneqGFYf7hmw+EO7Kk3xqreI788pewq7w3aEGPS+S6T8K9k9++X8+e5i0m+02cmUdYlA+29G7W6dE4l8zqhfUd9Eu1WpscrsjPnuy4y6+pgUe2VhK9C+z75I.7+P9w4Em5bed9l744URe37awe3CS5qu6KHTmUe907g40MP+9udlKegMiK1ZD6LVa+iIA7+6RXjexkO5Y2728nSQFyGnuc7czYimFlE+NO783qeqzWtlDJg2q+6dzid8a0W5WL+G6uX4O1ew5er+hs+X+E6+w9KN9i8Wb5+EeO8024kfs4Wbw689+3XS3CdvoiQQVXW7+CvggePC
                  
                  

                  If you will enable Suspend On Silence and high-pass to get rid of the noise floor like this:

                  HiseSnippet 21438.3oc68trimkkdceQ1cm8khjVTfBvSKWZRSipKc122aQPzE6aTMbeoLqRskf.AczYFUWA5LynTlQ1cWhfirGnYdrl4I9AvCM7D9.HCX.9D32.5W.au988OxJyrpL1qhsSRXCnTBrqHh+wINm8Yu+tt9Vq26wWcuKdxSt5wmcm23C9jO9hytyu6ce+O4QW+Qe2O57KezY+vum9928O6C9IW7zGe9CN667Ie74O4IWb+ytyc9x+o7yuy23qbV7u+1u8247Gb9it2EO+ac1Y+rqt7dW7it7gWd8y+tu269e0kO3A+fyu+EevkO7E9z028Gduqdz28pGb0S08xW9tGm8wmeue44+hK9ImyG6Kc2y9Wb9S9nyty+k2MmJG49G1xe3LWJs1Qs+y+vb53XzueYU942+hz8tW+33r67U+92+xqu5wu+0me8EO4r67U9NWc+O48+nq90O5zefe1kO4xe9CtfuHc16q+xm91+fqdv84Qju6Ye2O5xGb+26YKRO4LcUdumuj8kOsj8O4t+3Ku+ke52+4Kc+9wO3Me9uwKt.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.WlxBoBhPQTr+PXQVZjke4Ibsxa8vo64VtkOFU9n51duELsmOMS5FNoM+xy+9KrNNI64ZiZZoMzMiEoRdM0wEY8cVNFy8a5TfDGxDlLlNVZW89KMVxSXeQusqk4VWV8wT2uYYVevQf8dUJxycdISdKcaabbNmEcVprjk74gawPu9zl4wPF6zGOuemgtZ5yoHMW0N2Q62PqCpx6calRJ9wiUd+cBVckc+jdqjjcu8QjpnNJDTiB+4XLJq8ANpXYZDfxQSNLZEyJhraHaAxXZqjU5i6i1c16UYrUaMjco49qrhIPQBJ+EJvXc1xD.aWW4VuV0AE4Hbr2PphsSmrHXZEhdtjMG.zlec4yJIA49NULgZVzZA16TraxD8dOKZWzbtZiEt5HH786PxZmm7cqabc1pt+FIwQQEdhrIHi+o8N35xnzwgRBYn6bSPXEYJPGY0mT1Sk0Tii1N0TPAsURDL6dG.3ATGw5g6v19niUrnJNrjrJn25ikIRIE0ibVn7OZjbiNW9J+v+4etu6e9a+ZIYSYqP4ho+rk9QZ4BQpnfKUbwcEBwXqwqvFZqnbG4gSdNG0t68rRoIxoPw9Xh1PGUkYYEqVSgxWO1d9SmQGD+L4Tqfyc4iUz9MkXXB+UJ1jhIFozQEih5exyx1aCNHI2DJm9xww9vKUF8JPJ41IqaGckalro0cqhfQ9jUzI0l64SobSxXx3u11uOLW82Wo9zvnnLl2ma+z57uRlU1mI6dEt19sRJ5glbdqPCTvqGNCFJ.lTSuE0ps1CZ1bnTHzYZkiUdkRlhbT4QSu.UBS87Qcu81jR9nfIfg1qp762GvQhnPUfDGCdDKi8gTor+6gsSYVpISi6OrjUzI5ZqWl4CSHw5TxQVI5IicoxZ+8blzZ5IEEn100WtXjjaD4+VwyL6TAJi414XzKJ1jFgw2be7hRlVIHWHXhg1frOJhJQknrkztpg0JlNFdrzoVsZTWlW4bgqcY3XIumUyUVFFm4AainLXly3xA+AlkjmBkLTZ57cuRUcvUVRSXDdeVPypNApOuhHUK36KvfVa0cqRqW4usz6x8w1cPBPxF8nqkDi0CpvQJiOMYT0DswhLqzqbYEkLCM1CjkCbwWh5PrewPVcUr.J3DsFiYocElQ4EqrOTXnJH2pwLiLHIyFrVn6g7vsctIqEJSrgRToo8zy8FkTfZx.SmygDoqIkWEZjB4fTX0881q7nKCAJ5DESBkBauIZc3nqzOVDPEkxY+1H8WVdrTluQXqIS9G5vp7.TWQ4gz5sIRBkPuRRlhGt5xX19UOcMSJrXE+prMtNLYxpqIk3VK1cLfr+ttncFx4rRZ5.GGlZSlk84trHTkAcp339igxrXVdVvLsh30Ty.pDmhPW69SZuxzESitUNjQFkLDuY1u7MU1+ZeRoIGAq8AEWTlRGStwaZKsqzjSdmGut0RXc6g1ptp5tMyh2RoHXpBrbSnMHJRhoV+V6szHK+cJGcqROBTHVlkNkgrVgU.VoSu72tdn8zxLp1FQt8YyMhrOSkKXGxwDSY62UuXUifdS53Uxb5hi3xCpLm2lJ0hsW4FuF0mrRkGytPwzYQkWXR17l3A0bfIJEf9bsJ2GUiSNkw.4guVJpP8NJYbMqW0xFlBVuUOV6sRpT.p7PhwAR1auoroN+knLlZslse6uMz6wEGxk4WpXjyqAkDrqiX5ddsuOYGJbBktfNJRJ9cyalbDNgRlS9y6tpPkhLKlT+5JEIo7pS57s+6dBkZSzRo1qLbxM4oaucrL2DJLcYFQuIMUgRGnjcFpgtdRURIaqblBUenC.qEUMn6phBUA6fpbcz5s8gdSfzJEiCJIRIa7M2HPZs2+nQFFISovjqnDAGn+D8ZYecf0VHbfSGZwe2dioJ1Q7unOuR0OYxC4Pmv6UEuIYbYpMu9TZASqF0EkRw3PjZrz0JQjukVFG6qGsRIawwPpw6gKaANBJ6cTdFkCiIMtpBxSFYXyecNbkIRmO.nIqHETkglInoYWuvIy5lslsI4MjprM5Gzx5w9z7oPlJAJk4d2krUhTU5zJbBYYL1WtJ49NZDtdUVj4FWclWJ+PdcO3ffouPIp.zh1npvD11ainvww8btl4H9gob9JMnkNdMKUkbgoVexOQWN4pQeKTD6lBXOn2dqIs5Yr8RGwVMomWZS8MVR2boSrQMi0l5gB5cZbvQnXTKQcOmFxnfooZsTSKJKBBe5L7xdYkdgrlpkQ4vHs2lWllr2yJgqnObl9rnX2TLBUZVVdeja5jEPRowpnNCXN0BBFjEGZlkRnyXFS9L0aOE9lhxKYZmEUCWlFU.jc4yn1c8UfryzKxgr7ojfy6spOVzDmEN3R48sJPI1m5ZODATz5lq6AUQbnyTZkqaJjWlRdDsXWAP55.capL14f0wnZCBSQ6N6ThIkAkRDnX6eotUT5HxuO+h88akFSYrQgGnPDFjPfobTcZAltgjslrqPFIEPM09uStp11A1k4Cc1ZPaET.HCSa1qT3uB8ri6j86lTXiqAclrNhjE2+LR2JjMxbB3lz5KSW9pf+B5W85XkMHbBTojnmHJM3TtYbKlHFObbLYoYreGk9HJAmjdCo7sR0jo3NypNJB.wzFwjqW6JUwgrnG0sO2LMLKSE6IGJN5Bnx1C.HsgVFpkoWZgmIx9Ck.prcbpFZKJe+1XxHxFcHnHyj5PlILAkPWOJo2pTTlLMWCloK2xigdYlMaryJmY4unonsTZI482zZmsN5N5QoAFJfksdMjsFEkZVVgUVLlNlAhdjERs7Mog6lfJnRrxcH3BbIawGFeLXIkl1QXBISYHipooUNE+lh9begEk2BZJIYCPyZatsGQ5YQzoJc.iuNVjq5nRSAV2qcaVTchqgDGjsRWuqwB7jx9Rx1l95RkzzinNHbz+BzmFJcTIA9ynMWsWOIUR2kiJWQLgM2qakCdgnZHl8skuJw4pCx3ZPE9cUbi.HqXMugQUSjrJ+FEx1BCvD61vF+wf5CR6O0Y1oIOp39.nuvMtK9aEfxA4woHJH5CydiNsAFbmofMyNyLqRNWj+VxdXqGQcoTLSS5vkbCk2WCMkfMnVU1d052puud1ZCgBXRwHjlCEp7X0M41lvCNfXAvkZ1Ikot.xbGHegxeuut.E.NXoTqfsB+QPYQ5PN2z4qz9xYqfA0s5DfUqX12WiPYGueTIfy5zAgqnliJENslTnJS6iogzDzSXS2BJto9d3P0wDpdcPfJl.S0OF.anfehi36q+NMSpD3WD3jY.gs7r0TrOJckruq+5ng7zq0Y.3gr4ZxDmvBZQPRAT+1GUEUJRqHYfyexcSOlZWWEftTWc2oJkHtN4oyTU5JcauoNE1JgoOUTlNHPfGptBgIUAPry831Po8Bnh.lsIKtMJwl3XQalFlNFnPPKzBwLMw20.XE6kBKPowE8Zo3rCncDyHrJ.Lz9FHVAbG0dQWcceavbVNPtn1PCFM66Kc.QjnUMEyeSIt21GYhRQVgjD34LSyfMcKF7izKUfBEMJZ+sQoQNPEbYkllxCdHqsrIhd3yjgXpR4QmJJo8nYcBvz0yIECP1NAHw0poyBZ4Rlm48wH16suThKsiVoNoaactceVPJzklxIqQWiqawgAajnPhAf3i5Mr1V6GYSTdtoUsJgus1PO4iPdy.vifD09vWGc4icjjaMZjno7VTPjJv7PQmrb6naT1..7nxNUA2s0lTCjQlAflZaRwgDVvlIkmuIOgD3y9hT1.Uj.f9EiYz18c0nvc5gTN1RtFupsbTRBfVt7GO1eV4fwMgXFaXK0DRPGi.kkbvqnSF6RMM8N5XB0Wqn6bv+41GO8dnAVgVTqMSe4SSvTtxUuSExMI7Ji4xuiBtTg5mHFy8GAWDCCHfSNiWNbVgwhNypPl5hXBMoj4DhLy0CnP35+1wXR4ISAFf12g1.IoZKsBmS1GMH2UF4X+YVFzqCkifYbg.HkJk6vauE8HEY+JlssDH6wW..kVirIn8+kwd6nLwdSY8Wa7O12U4So0H+eJlwC8KrlIywJkICeVNXMM1MpARlYZtR.sngYh4JTWxN3cQoeLeck3nNsNJ.GvwjokvT2+C7noWhYfh5PwttGswJFliClDnI0qMYt3b9txLRdvq8poMRGzkLE0u1mLhozpapLCcuAmKLxPos1zoOKJDSZlJmDllYlqpmy9LhYihB6xcqSMLSQICl6eoCf+6KRhTKI6MjxnQlX5kHByzgY5KAbexx35zzZVcqyUfIGy1l7EBLZ2ay6fg8nANWYD9b0lLZhIobpUitK1+CNegO7kLn45AAH7HS9dK5I3dnGSA3p3vhd.aZ6pN+QHwMJCAc31AqskbGuFDsBHnc+lT42jsoLvBkTp4hjNQo+OnfVTqASLMZsiAGhQMcczLCYTMlijDianREXeK7iTYUVp36RVDLMJCSuj5lBSuZ6iDS.zj77Tp0ZCaxYbJANXaz9vgRlz0SWYNWaOJ.XNWaVXvUKfldcLXreVmxzckVLZtsTqXlcUZBNiU1pUkuz8g+SnOZGBicRjF29ObYLVDthR5bt566pFk5nn8bfk2QxYQXPyyYNIaxLZyL885CwHrCpNkeTSNKxUaMMndiXVOYlFaE9u7xp32j47r4P6hI6Lpet19OLnobIWJKJ1nt20uv9g2SY3oHTpzowUy2qe8vUoijt.oogn.pzIyBAl0cmTT7AIPCntOx6G5WscuwvbQo1GCWCPngFzu5tV1xfAYy.UVozgT.wt03nVFzSG.pnxXZ4FsFYQm7fnH6k89CGLT3XFflZTM04SIVnWbT3bEVsB5zEW5hYCYRQTnYSF7o0.ozkng3xwR2b9l52WTXAxoroa08bCLaKmrsraNtpSEY.Ikoaf49sFk1I7qieh51cnQxPgM+Tu0IQGWkyk8dEiobPvjNYFeCk.6f5tJGsLYCtFKp+oHXSA1wylajNXyW2A0LUEzjEhVlAaZxLM3mbukfCl29IsULZ+fq+GxAjxgLpuMV7L0SE.WJWOxptqzcfxEsJqEuUf+ASA1HUuDz8PLSda2aDT8PS9hk0VCFhSjgGEpUASoUk99ENYHh9XzCa46KiIYIqzCnfik5pXF7KH6AxPkQ2tXgN..lJNmvrr22W.E5tqLix33U.trcK9xAuJIXiCfX691lBhK.I34YfG7sV5ZLLd.WDc2r1G7EoSPuuSfRa8l70UNjYv3SABpH.1WxANnwPoHqrPJUv4nI5AXXDYXLJ4yvDqQDdKAP.RYOxCSLcT7dtxMc6XJ1XiSem5.O7hhqIu8nUa58rdJytdcoc9X1P96oIxkoiFIzGm4xUtu6FjlkvAwhplMkA5gAcKxUbzEsSEP2LcJkNiRS.HxUxAJhhxpQtzhx9uLcfjwDkE41P27EyJcqUhIIKXCDCJzoRbSF9AfTJS1YwNsN.mC8prq7TLyyLSVZhIncDk+2.KhAC35JKebGGtNNmIOLvASlBn3fKnhanAMsPqlRUCGEQzhJc9JkiHsLjaCXwj35HNMpH79yVoCnAApmO0nYe2aKLjjM.C49vboYBzpYYSrC3VltHNnx1TrmfXRFys2xTs+Fy4gN2VqFheIyHgKKSjdb0BqE.0H8f+H7BXpkzBlOB96itTXbaRcgTrW5sHX0qrGo8xHcETlQo70a684d.YxPshkQiTwzBRE9WLCFMlH7gIn.1DQWSyCp2ngNATRlckg4zNNfUFgW.SK.8bt0iYLMCq.37qbO36mjACSZCWA+OGEy1yTNSkKaAPRYPgMfTgIHfkizohksO1RFKLbbS89cMyiJKp21QIYNJFVaPg.OXHkkYo7X4.WYiBPHWI7KXhmJw6DB3g9OZfvw.2I4Blkqlowhfinl7qYL+5KyxVPmePKEK1h5B.bvIJYvfJTkMYUoPtTNfT3sJmT1ayGtGAJRignorOzxC5Mhrv8oC2mYR1fM8.540XZM1GOvAc3RFlWyX9e1W.hINnzmES3i8OezbN35ttLaznvultuSCRTfQPqZAuE5FVaEH.ERU9cLtSxqFc7F1jgA+wNQXE13qSU5Wqa1dTXCDYnSuzjMTyrqOY5ZOTto8x1wZJgAo4pPwJF.+CCNiTXkJj.FLM58ggdqTLTIlUUfLecORw.Sy8N.ILGr0gIt7iSE6ELyYJqASmJEQt.EYXlrP8m+.OUAHZwc+9S2zBOvBsBJQ4xaHaBlWEZcPOlonkaKJyAdGfmWHJWybHBSJI6bM.NJS56vwNKQ2ZZjwqhJderkLNQASmbrZGcSQsYfS4ddwVzQ1D8bcLfeq.qqUWIvU1ifV9Nnv7X85J2Qf7qNTQh+YldL2fGQ5tJ5kDYRerbnfNSi8SfoDFpHSsHY5nGsX.C2lQSjOuNLUHePZLP2h4Ix4GXfNCxuX4HssnR+LywU1cah3moTB3DNXnYsT5DU7gptBH4SikCKSJGhUNZoMAPObSmLSt9QCXF.8gXXH0ghCTonrfWF1es4Re.Aop+uPnE.lBSCrljmP39xFo4AXHGnv.f1cPaLA0pAIslXbQllxZImVU5uITckqWWAcLNNf9KSmJhtgCGpm.3xRYhLbCyrNI.oHdvfZ1bkuPNwGiSkYS1dxFFBtfExQTLZGfZ6SL0.IEkgDSc8BRFFKzDMLRYLtqfzyT+W4Q.93zLBCGPIP7VuDC.mqaWLxaAyigoACkvA5YzBsrlcX1cHO9ZOwDxAhWglB4zo6l5bRgLec8BphILchpR2JMiTMwcOfEBHqnggIbl0iQ6.eWf8IGrivMaz0YJImClySJhItVjQohoSu4LznJ4LPFWFFaJvgr1fnyg0HaG2fNxPtynmV.3CFKdkfNWOHSmwb43rLlbbsCU1c0AVyr7ePsSzZgBlV+NCCodC7Xw3ndLwgmoxmkfwxFwTaaPBPvnKvfuLDiTFOWqXHAbskRYtH6SMG6qJG9xoEyXNHMX+qwAfdCtWopH9FFlYOUaGDm.P1sZBGKwLed.mdun2rKCbGNTTxDltNrOMTpJEZuf+7CtebbYASPSCbdB8.6lDbFgsJy.Eor1MylCbXwPuMxLDHy0dT3Bxjz4U7gCmjW7EnufEjBwC4vjrNANfaYxzDo5dx4kBPo.OfBvqf8TmyEFab37TXFGGLNaYPcGSc7.LTZpTCnaWKIzkEHrUCyTETFKTTjRa0fE3dv5JsFHfJsbYbAH55X9m9AZrd.mSbBAkSJByVy5J5TZEpbISwOL8+9HFXDkJ2.N7eua4TL45xdvLFxpkcPo6CbKCiSCaWlcIBK+8LGfyxQxPyHwX0loPvGgxCruJyrcS9lWyA+y75dnj3nBW8ZtlM6MNH5GfIh7mWMoMmCHey7lAHnLCbCvKfcQDHgxpzv4PzbL31Fc06PR0lPqz4Tskl9MYDDifqeKUnKbHV689rTLDofIxYDx.82u1HXGT8AFrhIHXqaPuILC..YUFTsvJOSt8nJGwrLL2Oa4sns1MDcgRtLc.qMJF.vXBU4vDqzhfGkKVnpdavfcpfMzQR3J2zifns1vE4ClrBSO.mXFRd4YxsX5hLHTMwLi.HoNFlzNgzIA5bkjN15D3BXxfEKFvNENtJi9oCjj0cA4MahaDNZpMQqCTNjcSDXJSc.nJoltboXkSwFiAL4nRgxQWq5IqBbUNHaHWlPfeU.sYJfk4z0cwDzpfLGcPMf1i8B3TJnaH8+ERapX5yBiuOymJf1pI2gICa0rfXrTxHIb2aHvPXy.vbmVyA2VN22IxqOpPtSCOJAKtCuhIKzJbS2vCOHEGhSGNWwDtKC9FBYPLo6t9spPXHSqVvd+592rgp.InghsfWigYtTPLcHk1xD9HwEzl7DuH2LvswZ3.zJjSMYiy.QULztXty7YBnBoHwMSpY2zskd8HFLKy.Lp2hfZWpzvnaF8FpvZOHRKlra63yW.8XJmRzepw9b9XaQrdPFISG63RebpwvgovpaU2vWiVFnTQZgpMrL.5t.Gup20YYGwbTLCAnFnpk3DrrI8fF9HC0snmGF1vgCIqNiVGrK1zwA1qIyFibaAMndTMNj.uKbRjZ.gs0sQ4sfk.FLmZDtmyWWTU8fa8XRHL4snaaEKKqenwI6OcICiEJ78f4BQFK29ogo2BkIPN0gyZLyvBCIFPdYkc78VllJOhtbyrhYjxfYvhVSZQB3OyLtD.C2dPB7yb2Plz.LMbMuVv9tsjY+QNWBhgiQxHsubCmXsL3TLny7AosZr+x.X.MmAe+Xh0qH+bYF7EN8VZNhILiB.UomQsso8Ey3Az0GiSFPFxLEKifG.6HlSTMO2f8.kSvvUfGCljbWPYLtIL1zYp.Sw4gFrqCOcIydEqpioyfL9rLJz52XXvFbmp0jPzi56krmTHlGAW6ehbALmBpALjnfkEhC2X+MgZkzXFAVl1WHeJmpe1hA8qV6N.oivjAbZvWiYJBGETVvH.enfNCcWkhoiDpm.vS3XpwFsjl1nmQ8TbyjJTzBv0F5TrmbZ5z.gaT9kPJGRtAmPlGUbdyfd9cE6BJ2R6S0acHFDkEyqMbthEFlKKTgfRau2HDblfZNwLlSH8ZHfDHZqvUSykUl4f2i.TKJcfU1oQkMj0InYJLsZBUFQrfhNOyID.opigyRv3Ib50IzbERjBBeVI5KyYC2jbwrcpDHXXuYJK1mNLVXNvEP2plRzbDDCTnL.lHIm5IdLIDN5jwAtk1qLibzFzNvjbS4g2ihPRblMz.KAs33vLJGdQjOXTDFNRlBhsnh56oP31muHrNGz7GU6pkNbcCPF6zcQuSTKHdB6WqonTG7lGVOvQphDk.SJOn2oUL3OAJapCbJK.KGSu8KLhyoPJ1.UDFTjWCJvSwmRcaZUGwRLnATiZPfwG68JJ2Pf574AoMNcUgjnYiwQ.DfXPYJDJzBq6v1k6SQq.0wiZjPrjNhucETQbncO4gi0LlP1BDB6IMqc+5Vf4CcIQojvTy9rnvlzJ3J8o9e1etRQ9fY2FzTjY38PLkffkfVDPl2LxHzD7TB0JACm4BMEbg.ltz+wvT7nTMJ.ZPfb5khKMGHtdDWCH3kZd5ZPi1cFPKf12YZ5H4ko8xxkAHdxDtDx5FEyFpPkDjb1cY6YCt5iY2wvKHnmEAymq3NZ6sfAU2RsR3yprrSlFoCzs6KPbB4HZn8ej2gdfBBCnTInGnW0N.wVAxlMiaK3XIHJ8jgqJXjKgvaYHQnbZSK4J0o.tyPp4bDcHMHk.TlAW7471WXvK67ttylZG94pHCsAcydDJfggHXPar5s31YY0uJf6cGDmOCoxvksZFB..tA8HYE+KDgIF31zI3FsOsuNKEQWzo4+lXq.xxLzxeA5mSjXSni0QU6MiAPvKtY3jLExgarmBwPGXxyfCrWCxRuCZzMVlvh9dle.ePTLJEeLGXTnG6wGK7wIZzsL5MpNsAJCofvXbHmbxsn0fmB8uADAg9Lb7hOL1MVSIxswzTnvLdU.IUrKIuGvBLbof6PJdktu2aQ.VXZEhHeLXwUGmfS8aoQrmlcs8akXvOT.xc1stWFDPv6mHYSK.0houfPDBiJjMBUzNY6CEwGA55BLC6hWSALloATvFkMm5PhVTGtaQrvxVsJXPl0TNEvflSGDP8UUz+AqzTSu1XcmiXP..w0kfDQLZT+JDz.pRXsZJz.lj3Irkc73PvkJD33IwBwcNInJCJ+NytYwz65fFBT7vvckECGR0BhWg6.ReqYHulE66gofYHIpFuP57JDLFcyoVcrsVKZWvrSgCfMNLrqGiENCdXAkMv.dUxfrUQZpATFNMH+TcRQfAYr5WF5ckY5.BcDtqwvZ.nwuLZ3ivSjoYUJtN3hVRKSGYcxvSDXdCsSwwPD8X1O31XBuYX.IIHZm53zP66JNgHQdop.osjdkCLfLkVEEJ.cVWu+lS20FA.gsnAh0ZtQImAL.9Tg1cjLRMQHMKEF2gCCsxGxt87jvaLfiIMycN4BIeZ.eCJ2gAgcveZQwkZkfGf2OwVUDEWPQkN6lLEgMflKh1lh71M0lzNPp4CkkfrTc8Fmj8JyfPnbcIEz2.IcIO9KP+9vf7EJGAfIqQzzYCnZp0PQuGgRhZ3PJxXAjMD3Nmcp6W+j8.8VD9JEp7wbtE.EiBpWAzSlLblLMBfs.kyhYimtKztsEMxGpMsZYIdjlHHeqhivAINMFC.4yRqbtdOMnVNfPrL1RcR0Di4.DUJpqYyToTT4ZFdrSBSmqaHGQcbPbRKihaPHg3eVgDfLpld3.cTBuKp22JeOCzPn3tKDRFEzK5u89BizIltDFdGqi1xBAGZlu74CSgZf5DZVAXYGpInt2AtLfkAw4G4fgUMdNCEpjbDBsAvHD5Ph0TAcEEH73giRNhYB+.w8lIG1wisvoiEJTphRmNKrO6FDETvwBbsmSMOzADx.mBPU5FFMIj7KRFh251hFKSWnmBLP4GFpZbh5cg4VvH1Q0oencfwNj7etrbhfLEiN3cZng9tCK1TyEFEQzIajYBy.kCFWiXw1yrQQIiiB0x.gAq0eLc31HT8qIzYqAol8fjdiKbyI2WjRSGdHlAU4v7g6QdUgpX.CDY.PEjvudkna88iIXXQBRJMSGjJfZZSRubHALUjGcGaGnjGQaP5Db7jJ34tOXX2f8ehW46uOJnlqHJjrfXLlCYKli7GAb7qryjTnuyYsWd4n5iFzokrczRHX3NvOv+ODndPijtmd8gwU4MVwj7LltwwBkzamZ.+X.IioBJSpv7H.4G3xxLEeJ5DtvfML5.sSjDJHVPgZ6ZZSQIRlndhKGc5.5IgqATii7Rz5tJepqcGqnwXEdXXrnrRhkAKah7Gj8UUMbDUPK8jsOSG0JHAnDoVnbPV3Zh77ozdwokbf5FGyIZsaC7jMw609SWn0tUD6hCPmhg.kmLSxGAymObQzKSAZuAshm.zml5SBG00YNopvozNcNhFlDYFVYd.bRKKpj1P2ILBjVFMHX+.pbMMdZZZzYqbhDOn3HlAHEDHABFwbSwjk.j5xRFvBZnyL8sM3l4JBrLpHZ0A0EPY0L3u+pgCtX.+kcQfRVMvCs4sckJjNwI9HbLZZhD30CRMAHbubDYH5SID3YilbXJYUmvbY.M3J6XyCENSFyLm3cTivBROp6Uzyu0zRFXZCZTAEH+W6P.mOgGvZfj7hSjyygz1B5Y6gbo4dkmn5ZcPdIJsnQmtazTTxMjzv2aoNgbVApaPAipF0M7fowjBKQ0ZMQdzP2KGynxAN1PFdIO3Q.FGGy7eUPtRpj2KnpuueNz34mBhTI69lwXGDtAQbD8yctuTXnER5Thd2kI2hhYBfQ0uYPiNXHwMlXV.+U8JgdPr+B2fWug7jf.rpNB.RYoOX.pzxvL2bJBFieFDe8ACe61RlkflYO.fsn2FSG6in8ugNkPgp12.jSbiKBT.ChuLnZ3HwClpezo.ZxuqFoMvWC56PGhCqsG2hJJMBmWd2TDxSiz4MH7q0IQTsYp9JS96.omSWXFFSiLBtXvrnFocKQFdPHlDbdY4ZZezOAZlcGcXH3tByKELakYjYlPXp6OnfxRCbeNgJACKNIGkLZoepd1XRdavfcJO3vz9N9BRo2HygQtBvzxIKwzBWcCaR2PDNmF.o2Yz4h4HQqf6iNgliQu6o8yLzc6S2aLC5rFkk5HkbsLALwuZXZj4bKabeiduPtajvfS9hf5xqQm9UHxCGF.IlQpoTLWwFTlWCRVdRFmIJXkavjJfn6P.lKt4r.GxjYC868n4ftHVnAjYzrm.3MlkO.Yv.bsF7seyH1JYnt3Ph4PlaeskLI0okFsHq0bdw.OYlrrdabZ3a2qHpmfIcvltPW01YJDZcCpukQIo2LgrAOoDZi8.vlan+P.nOXuilspc3lFVDS5DStuR2pTbJbUmHqpzx5lQa.NMoGCfWNj2h4BWgSeG83dY7E.d9LG2GPVCHk0cqPtDSV.rH.8G0M2jiYGdF.nw2xNs3giqMLmQowVNRw.PwyDoA0Haf5BTiNXPEU+p3J0Pl4BAEEnfdm5fTD0nAX2TQDNSVVt.AbGHWRqQMOfnbJX5fIw0AT0RlwJSoml.IklChx7LfdSdBff75lzNoNrvbEqXDybJ9Ehig9bEvmrCXXLUYQcog1DaN5NlHlBp3sxngZ0.gErc.muzaECmO0nIDPKqnQkcCeERIMgUtJYsyt5a9KcrNfjErV39PYUlBXp9fryLvhGBhtxHjlB0Un3p1APQbQimJNUmG3BBE5iBZMplXlPTyAeZUlp1xgCiIIBnGQPXY30SXLiUqRGLOlLYAFgSA9+brFibvnYtGPjOB30AteL09Gc7.QdfxfsGgBeq76DZPM7LeMl1i8bmAEuC.xcDHh2Mw7T2XDMW5R6Q1If7KXQG70hrsaJc.CRK81Cz20cBiZMLfIaMitsK3Zcf3Raj4R2TozNVKfau..FcSMnf5Ix.eyEr.59FA1mA0CRkKxlAuAoODt6Nv9W1fR6EiNnhxDnJ0KNpIeEy+Fz66DGVFDBQ89iwbhQSzPWnwzkDbyFSKuQBIk8VswjwMfgezXbtepsuPcMZa29xnKKK5ieDhl8XK61Iqb47.YCsdCZoL2Fvt.JWxLSGYyITfArb5Le0PJ8FHfjCFZiNmtnGGl9mBY+I68LAUTxOybwFp9Ao+V3EoQ8R01YxWmYfCXK1cYUv5VYvLh43kCkRaMjZ6SnpykG9LTJgbPUa48C.AZTK1LnIwrK0nabZANE58HLngovtv7CYnnYDhprg+ZXlaVAboBATbKc4Bd+kG4Xd1o4PNxhNF3rFL92vw7ljCYjlxQ4K.etQn1ZqA5YVvlTNMRdPaWoiPfsbyHthLERkWvQz9HnY36lZaZvUPq8io.iSbgBi.uefwiWa.ZE3lBihRGVRtlfSKQAFcnbhJdFS1G5zcGMPrnysfsi8A1QYqgG7PfcZFnHBObDScYi3dVNmazkQlbpf7LFFnnfF7Ps1XFYZNldhQHfPni1a3vshxNXvrlSU+Ln8OyNeXHzJhDdwjVCjpAD8WEV8zkAIgQsfRDfB+RFFMm5CQ89ALXIPpv9n9AfF7bB59rEbAeOZkHQvIYGE.PaeiIGeRx8ICcVwcJZMDiHFUzzneJYn8enTb9ztAMAkwfsed5cI3IkAD6L8qCI3zwYuLDrCjJCJdfgXc0QqRzqGYkt3HaX8R4T5RvsEJ9NimY4qJivIxPqlFl3kPtWBicLqUcaqEFAeGWOk.tgrDAE358dL7dU3OXGaMuz0GCBAFCMb7KkrkrNY96MmcoBrcDBw0jQ4xTQG3MrFsDIvcYwQkNDeEC+kd7HHGSi0n0BX.Ibczs7fE8oJjWsjA85cjvcp5MHVc45BM52NX4AwQ0Qc0LxuxLM01Ww8N1O0KLiUfoUnsHvd7dHGDj+SFHzS0UqFcAhYq.mbJOmisosjnrzxzHB4BMxzAZ7EhNVmV.CmzXfMHkLaPOmPJeWlpgEocpMRKFzNDfh88V3PNXnb9LbmISVpxrDXdtFPXTwVXdIlXENjD8ZLlC6KRSDPMTJ6ADnjSGLPgtYmA0GI6re.WAPISYfqLMii98unQDvw5FUTf9JSaYVfJqCmXRRMIJQA7.3+4pI3sf80H3CYN3nXtmCuJzCSfwnSHNoli3dAobbZUD5Jio1hAMOxKeXzronFhAcAtmq6n9mE1mlA3TKyaEYuktpcnHImLIzlsoPyqZMqdDkxvATnTv5wqfZrcJny.rACo.CVIL4tSW.YVaWvcF4R0zTqTLYM.5qC23kht6w1nBPoeXvcYFFeEE4T9fVU6LRBdeCZxJPQ+goO2on4jxoLvOVg1lrpDDSHSsChWZNUrF7sRCrY6QyHnpLb7iLgs2FkU2QIvUr0.QApXNy6CHKxCQYbAInOM4mAiifYrfwz6tTihVFWNQOZbt0TXZk7IPuYFr01gY12q7VGVzNCCqaD7PzWSrnVplAu5jv0RX0YDpG5t1qurJQ3ggFthQz0XDSuji3umHLZ8tKdof5RgiQg6qLAtUBxRjHTgfFLXjg51lH1mUn7a6yCXNH0cRGVI5jb8gSNgHVI8xFD6zrqG7+KXo0w9BNbTBEQPIBvr3H6MlkiBg9PkooMQFpXmn0ZyPauTh7lgWBtCgoNLTfamrc.c7jwpAYY2byuALKVPDR.8LyJGJ3vhI9.LEWcRULfiufZzFL6rgs+fxMgBF6.gcWt9MPJwQLr7Jph1zIn8ZuWFIYWuGMd.NxQVYArdXZPccOm.kV5kXO3x97drKE.C.NgrcTc9kOhlRBUttNZFRQXw4ouPJ+K0YnfFenUOsqauaV4QApPUWSGkudZN1ksQX5dnE08NfFTspB.t5vB1QF.Zc45z0hZ0.HJP9VDYBr5oUrhZAgpqTZmvVXFuDGHcsfEDp2wgY9ajEQZEubroajoatu.aXvnWHZx6WLlAoeBf8PjTJVdGZgKdFS+kA45L6V5UBpJdlrKbCAmtOICqf5TyMig.HNgNC6pd8kWl9OSX4f0QHlJWmsIGYlEJzrbXmGCn8ffI6ckn.5Db01GBZ..C9KcKyQJlo.5+jdOCt5xM8YfyvBvtYTlFYngICV9cHwhx5vhKQZuG5iHnzwQHHUNtB8eQ+6Kld.P4jHvXFYFj0z821PGqJH2Rv9DUmSVvfG7Y6Dofce0DQFqWjujxTtc3HARFD0JJAFn01X6.RoWm+TT2TUroQNKj2JrFTONBkkyPRc.M.BOutbzkd3Hj6Aze9tYzFB09oP5rGwnU2brnbL78ZaJndzs6.oVqdD3FYJu.FLlTHJd8pQqFGGolknRqAuqPiIWVsgHiZvRAj0lI2TRRJm.upYjxrY4SVkV4aFUee8iosBLpBTZPsCzQ8CA6.gDfwXOser2QKnVLKR.BupgVuP5dBIWGtlesmvQXLTaIPeWMTYu8lZXbTgY56ou.fLL52O5C+XYlmwP+DX5DQ3TA0pFpAOHi64H31qkcXtzVelicxBA4fz0UWhpih1B8KZl+9f0gPIvCVkX+5rdqg7XIa6zKLyTBGYRWo7c0ho8ngR0S2glL2nu1XrUn08gRPIXVikEouxvUm3pHKngSYrFwv2KWPzM2szg725DB1gukyw3Q0LUL3fBQvfjnEuxZXATWvHOZwFjD2rf2kbia.lX5VqICRkXXGl2ka6tgo6YLwzhAuIKNDTJ+Z.pnLd86t4afVq.OUbTB0KdZvy+DhNDZsnXHKIpaBsjA02kl4uObFFsnFrHzJj4USidjCKJT0odNYvjR6Doa0QatfL2LHUkLZVgPIMJUWACTPlvEZv3NX5vwtYPJIAjz2Kx3mHaGE2nt5JPSkLjCjnLKTJKcnAdZQ+d+Dxw4rQDRzeT2DWg7ZxgVhTJvq2dKiK5eISQULAnl9OL.aQLFBfil8gUMY1JnvSvigkgQmjny.jmtdmCy+aZ9K62JQu5bcpniG9DB3FiX29HNNB0ciBFi8eijKp3XzVSPtRC5rxvvrHNQJ1NLdjLcMuEhLmNALAUqCSYWCBVFJg1ygh8Sbn9AZ5N8BwHcDH4ES5lbZ+zOeRnxlmr6yjCAdCM.nTIIf9w0C1j1IXfgu6ADwDwNteyL8ZB95FBj1EhDjoM7hRM.EfIGANkxHGnnKQ8xMksiFk2yLHPc.WmgSdNXX5ellJYL5Bt7obDfiXhg1EvgR2Etko.2C4batBl6QKawnXuuGOIjpuCTnKnyHiT8Amn.w1SMI.85tVhVNIKcDLe5vXhVA0Q01CpopannqJzbEvgR17b190quAB+aPgsYyrDDioiLykasXm89XhAfis.Ew.Dcmp.Tn6KUPFP0z0gDjeO8WBXKYvYOrtRHrx2vB9UG4ujn2ljgU5vnh5IJF9fXnQ.UxNcrtP5+zxWXBC3cKGv068wIMifgcx3oXE7EtR.m50VLU7mpaq3Hlzshhw3gB+CRYuyo6koBJ3hEr3hTxnvOL0zcBWBw8Mn8cqQZcQQgtoLKLDRtNbhteL650Bft2f8H3tsX.SRA.MMc65l4Ek.HZ8lK26CrgxTVEjQlg1LonHGjaJb5hYkCk2IJKXizS2mdbBYNpFH.YVLLrYE9zG5pD1jnZ.XHDzBCGVnLhYClDPTvBMDSA.tOhinjVGjkBJinLlue+IrRQ75P69YTgesMYjGThEfzDra4QZZAPIigM8YBo7vLos8F4RqnjXjW5N0lITsvCDpLXdXKm3h5SUfo5WGNtyAAyUmSk+jBbhiSeroqQAKRvHjTs7UyQ.64Tv1mlNOzY6lbGJ+gs8UW9TMfYZEPQ+nRJNMTT1XPjO4jH9gLwFzRPWeIT6WSemOIVIMzkc4GhLJcPetAEfG0FmhD0MMhr.68bv1jUxAc.TBKZpHThLza29HqjWt5JTH3t09XNGDhPBJSVKjlBHpLHKXaZENycbXBivxjwNa3GbIYRpiWbhSOTlHSjGHI.LkjKdkaPaYChzJWgcZQWUczViRRtWiIOYsmXBuo3c4QLJPZgT2ONHF1nflLLPzxLG7YpQGYCrf6LhbRrk..uLfT6qjRAz70oaLHjbMGicCKAgN2FyRhAxwJ9xHP5PDzLMFJErmyA4JnC41QOtiPrfvaTfNSL.tDMpDhD5YFrM1TUjUSd9JsrqgLvZFAUGDD7hQWPSoPuY.Mt5UXde7zI.9wrDyFxXYmchPItHuSX3E+bdWoC3cfiRYXPXXEEgdBjfiI7wMq9TIybTAOvnb2T+ffo8yGdwrNjNEZQEp37x.EELaLQ3DwuzVvZmBl0NJUEADZ3rUfOI9INPWAyE2LYzP4smLl.jnii20YR8QfMG.6SGaxAIFpn137peFzHS1YH8jmjfmpsSwY.F7joq1zmLj9odmwEiweL47kC9xGLfVYsxjL4PkCZokYUPA4rbCdnNpR3uqfg46thBP.HHr7Sp+nQenyb.f4QsSw4bAJiy9xBaMNdM8jBdAwESQMKwXa5RkC0VGOyTP6pUQvGHCCTFOYU0THH540AwjQoamFPVEHNtOBoYghkXL+FhELk9lJMUSGNkikl4jPyRVnsdYGcXD9+Ix5pQ2KNn3bP5aPGLcCkdxYcz36ZnTd6GfHHEs5h0YvAUxpj4bJPms.iJcGC9ADGiNVKCUNRNJKazzQIJ9WFu5VQsVeVXsK5MioVWJY3RjlOmGcwQlfruU19nVkw1DGEMSkcn8njOpaxSfymRsvYvx1.8dz7oVTkm8DuSfIjYTLiI1mHDwWaJJ4foqYFPlXNmtXrf1o3Hakwo1Qy1nDsfMQ5VjKoNlGNRUDnJTsRgPC1TaQxhUCCQEBt0LJzqBAOMpV8EjnSkY8pLTNg4JLQUfvBqqdAd2btbEZEtAuq++I3WBCiQ.YXePsXzksY5fGBFHB0KTJRuYpGJ0x.ceICk71McnD0VLHGmfTyclDXwNjdEvmxvboOnbyL5KH1ZkkoPcnk63vM3h8b2zNENv.8tCx9Or8cTwUigxwwItlyjO.v0oBQ3NANwF31p.gPDlBNMSatylxmNnK8IpGxzZslAk8fQwEPBZHAnHNYlvrDZkT2DX8fAtC3jcpKL66pSiQTMCn9sSJNB2IJSJSiKKeCCIu2h3HYLNjE90d0.oE3OXAKB2cD6LZQOHcZPNn6+rxOAhAH7eRZ0cRCTzE+BYKlQKxLNtjK+Jg9V3MXxsLCj.ozWMXxlpCjLD2lB6PYOuOVVFXeZ+pVG.HiYy6Opk8BYkg4HZ4TFE8H1n40AZ5sDBen3tc3skoIbI3yGD+QHtqQ1n2OPqgDs9PoUJGANvmQaFBNWqG50Z0oLJzmsXpFWtrrote0ByAVFTpXAbErrMr1KMFKUb.1YU.FI0fg7WEGUzAIEpbEUBf6GF9SPt8zHfAJVK6oWN8HhZYVlQUgLX4JkPQxA515du3B9.FrWw+G.TeQkPL7.DZ8.QfDhITdWh1Ler.yC1ajKt2J4N3dmYcCQ1vzV.DbNjgYkJmBRXZFkaR5C0TQ6q0hsqT+UpqNStLivrK8VvsJDrBCq0xzXGNCReGmXQs4FIHHUynarChRt4TFZDxHTA.ppbwo0NofqxARwAUM4.NMMtE6cxwBUV1zpqYDxQMOOAQCSeiBOKzjPi3pFULA6SKXq+JbafQAj5qifMMHh1lYlxKzyAFMOsjazFW41Rlj.byra0NfkCTflQfEFv5liFwvNFE3A7oa7JxHuNPFxFDw29FPRgjg15Zx4UeYuvobJRKiA+a3jHEzHRHjqT.SKSCUF3haEJ2jh8XqMOECwDmy.MPPy2dOWjEGPhipUOLLSobzlXZgYLzS68LGhdJ3jmxvaD+2XlVnn1PgFsWeTvywoY6bjf7yLbTHy2ICKOGTgDp5lkM34ElaeP6TsZUsFLwIOQ50wbXXXq.FwsXmuBruaKvINffvCtgRtrUxXgmVHjWDxJm5B.ssSULfy6bRTZ9zXBGi+wzb9tgYbnbLs+u2KlJtkfkoAkEbj0xo3H3gEnBcjOASiWBlcnh7mNNoV0lGwNkWZ.Drz4bW+ynIQif9RYzuMQx1fnPNhYA.3wYZSyhD.TpmTP9gYnKZv5rnQbgVFZDi.P6QB7FQeuc8atfVqSihVPkWF8r9jvpFL5s1xt8kHf2i97pEkbaepgMjoOXQaZU+X435qfZbfIRSz568F6.Ag5HaBVoyv68PZ6JorUnItxUqYPlPbtXjfBoUZ+UFB+dPSCj8QYdJaJjBS0ELoot1y8GThdtPNBPwaCWklGT.1Fj2JamM6gX3TZgb6R4hbHrlR0iptRb56cVwHjy45J+Ot1KLnsxPHBPjSs8fHLWB42.chjcHF.qAENALKNQpzSi5IbjhZG25Jh.HHr8znvAnMjE4BQVYJ7NMnE63YHJ2tQyZpmZAQpg.YUpNM0CmJXkiQJzLj0KPDzI1rELAsupAwfguNf8oP1LLEyjxWv.CLh93r+0B8efp7gFlLylzB6T+7zhD3rZsN8vgSfSfF9vwhBnWTxZ.mCwlti1rGLTWOWT4cVmYb8Wnkhihik4wrbIpKQqe3nYf.CFSJcAURzDDAiaAGAlSppTyHl0TCQ8lDFksN56CckRibjVHvGZOpgxQfSV0FNlguZ1PmyLDGTGEcPGE4vR4Hi4oAAHoHkNJNhqiHdfmOPoObmCg5fqjDjxDpDhX995WbhIElDtg7du1RCncXNxVD1c0AeNB6AMEXBN2ZVkRRuONflpPHGLS.LnDCgMC4WoXbxJSFMnsFl2TCJLyH25kfLdovblR0R0FKA6JgsZSjqHXH58LPBk3sM.+kvGnM2SNl6XQ+A3D6f92f3QcX7rThgF.VXQQQqyMlLH0RWsyfNCQy2cNsfFyiPnGTHz8TF5bf9ZRIyJf618ndAQxNGv2Xp.aL8ccUCQJd.004.XQP53Hs2YE5yJeXx3TlbotcLI25t90VGIIUkSU8AFtyn9KLQKnoXU34o09z5A1Czu0kBdMkMkdphx9wjX16wv7YL5hR6BM+AX7NLE9OHTccw6HwftCKzVOXI5T.G4rSCx.WmAmZQiBFNbVq3PovLfV9oSBJCsgrvr6bhgc2uGkBm.Utk.ORFvdiFLARggYSL0AfplfPLWQEcqN9qjZsCP4XpFyNHRByogjMo03Ehmlgw0XvxTDJIVVlFxcLSG10pVP9+6itic7D0eG.urmhRPAS6vAu7oyl3jR.NG.vXB5GpLc0DgVDLYDEyLZblh5xDXlXf8ABP0rMZF.XRh9+0zqk88eqhdwhNug9kejlNX6AMojPTeo0xlVQp7Tlnkigxks2EKM8E9Q.xKHuOX9P.WRzuoIfE1vudmjaE4Ijcy6YjFYXbQ2B6bSuuhjvbTZ4hpNAi96Fi1IZTodqDI9lLbM3f7Zf3fq.eVm6X16PUeKzx9hoSjPQ5kuHnK4DkR.6UsV.MgroRpIZHaAdYaAOf4H2k4IEwkNlOf7HeaCCwEnZBoEXj2qyyIvW.SdBwgV1iN3DDBHUCDvThfbt+JiuMvvPuDSUkQxjg8NhgsCx9vvyqLHiclc6LnLwLyLANG3sBBXX141rn7vPxlqx.l1T4fVMwZPUqY1LJYW2mk4nLE26fBKsuPNGwrohBKCI1a4lSnBV551I9X2Pud8xIdSBZ71UKZbeqObg9lioZy7SPeJPXAPBULy6cFIWDwysAKKYHUnF3lIFkcLHXRrAQVmIKNP6ki.hPY0viUAp9auJh9sBEPN.2mdGx7oVcfu.VKVY3zgD7LIrfHH.9+4exRlYVKjYiNJc0DXmcX9zLtxglj.oYe33FJziMRFBdcH7yYZwY7ZGbSKeRl9PF.TFqXjXQ1b5ZDuEgiYfedNL3CB7F2QAtAZ+6qGNx5mrHAWXvr.aVo6kXzgzoKxrvAPH1DACvw.jZFb4L3ASAORfDi5JatxrSslCTjYlT8BLti7dmCcXM4GCAnBuiPnLlkxxIjcoP4qUTr75wQ++xyUGjRAxbmlrHWGA+6JaXECEySV2nsS5bXKzH28CBI.j.p2cPgOMhNDL0xAzOZfJgWefZkAEVtKhg93vjYCf1sxH0mxf.itosQJslTzxWudvg5wUAkYkaRt2HsfIYzWa3fHX5Cm.Q1C4Y4PQWslSKIr.mspnwXPARlAWtvLIoDKT3GJ6hp4z8.MlB5VdA3ULEIcBW9BSmw.9ZXcjB7FCGpfLa0AAC2RnO8AxX2DQPxnpFmFREk+z5.Dz3xtAicLp+5rcu5NeiVgGCKVAtY13E5jZCg.s2g87LIJq+5L.Injtotax4J8niuCxVd+aPpvFkTpSyXb5wLA0A0ZCslpW4GNmax5H.TBnYV1maeCGxIs8r3YgkEj4.03io6M4D1LxF6fpgbzLT3eeThlkBpBq1ocMiZWf1MfTfW22ADl3lRnUSQIwS6sMi8Psy7.gA3vQ9Czu6AnUg+.6gWCbhKtGfNxvq79pkUCHKyrwpmSy38SP7JpKFUyrgnAK8ChIm5Ee3pcR.YAlI.v+Eb.lSZwUzbKdJQ.qL5P9oAHP15j0fUxPOCzJzJzBMX6Z4nSqXvvSsvLdd+RGSMHHrjgTaXPaJTxI4nDEkYb3pa9.Fdd.4uerLjLHQdtZz4MXpaOCktBJVCwPu.UAYo.LDdOfn8fAZ2oWmDKvLHet1zgxgEX1Gdvi3bylJ9zYPugQbJzkXiWPDyIsapwDvuLUW63HjDaH9JEQU5vNlDAukWhCWIijCiadFt4.DyCGoin8oUpdwHT7JyPR.7u3rcHFtFDFSxqHQ8HtlbrwMXyo.pjKHjx19TlhonQuRTjqn+S58ui22XBWNNwUD5sigtr4vchYvGxY1HAC3FrDfhSl1qKWv4sI0xbR.PKmN0CuuAP3gQqgOmc7+.0wO5rM4.XJeALlmLmxfRffqXHeWXXbDS6nzAltmRg3.FSz8xikaJxm.qKn6iTALXs8SWAwJSDZZt8Mbl2B8aeP84WdtqDn3S74JVZk5Y2PQnSFWOHqjLp8lwwUehXwNBTzzbBMTnMoLrgK5ynSQa.O..IY.vBlR1y6ZYxbCoTrg+.ijFzZ.Vc.fDjCtoZlgXNdfVnCopaLnpX9Ulx3EWgtsesSgYJyXIY9cfP44bYDyDNVCBDst2oXID7WDw2NX180G06rXvb.JVgn1XR.gXOxfxkNguYpuVNhFEr+sW+boFXkfqHSIf5xgKLEc.ApPHEhNVx1IlfMoggYfGo12yqRPflyfQcQN61efcHGr5MXX40vhZT4qIHoK3NFSIAOfTsAxeI3pJSrDT6RfQNK1JUL63C.m1UI9CZutqsIkaHYxndp08PmoEHUQFbgvk2eSSjffNCJCMoL334OF+u7AXxrZ3aGDfPDXnL5hqIoPzwC3yZ4GjcctiqvcZJ.kDzzCP3eeBmGnGtyrRsAVV0ItxTGoEi9IX9YXh0rBDyjQ.5eYgxKseWpVOZHO8HiFKqRnTHJ1QKnrfw9KMovJWVAlxgG.LC8fxziXRCtn4vEGV.eSpfQO5AtQYJfz0f6EIZrlQ.6XsiXSlPvLMqxTCmx2BEqZOrSi.q.wtLLfc3jFSJsqfHVaL8JG41xIjdfjO.vFv3b5RnTFmCTQGedWVQS.yQvmm0oS4lYRhf5Jo6nit4tP633QiNRd3JsEZMyD1.GvX4p3RBJOgC.jpvxEIMpZLjoxX5BBiW3AwFokiES.8xINjJDWX3wNxm0p6hbbgjgBrNNBn84l9SRxJgLzKOcNN9f6UXhWZEc3J0vM+vMIyaF+HS0THxiSLeBiAsYSMzKC0LF3mVLf3jA.GdDDx2T6VLQoWBfInCgxDbK0ZNEB.MSjwjaXls6TLRoZCB0Fnjcz5B7YKCNB32usbi1WTtwEBTQGrBY7v.djo3YS3NghCymzK9IpKkBGTA3OcndKA5109axLygoHnsWvJHiLc0MPODFKB8rdZ6llPW.gdfJFHLKiAxCXtFry.e9brumqYDs7.tTijapYgJspzo+NR+2vQOlL.1ngcbLr3hnOnxPE7Xa5HNDF1xJPXgv21ad7TdVfgeDOECq4cBWSJliPTnI598ghA71mAFLjYOSMaUftCzYKDUo.03lwBqEtXgqQRMiZmlAuAniXHR78haRBZPkE8Ay+7Z4lcKhjFYEA7LbzMvygllLHU7u.CiE4CMBQtRusylX7Hqy0AoyhJp1bVRyTYNNVC94MHcg16SGeglsgIILza.SdJonFhnxwsjJ4a7EH4xWchkxmQE3ag12IuR2JWD7sRuC8wELFFxNwsVWXT3sXDGQ5xm4ak2Dhv+olO38gJpeaVmiMmA4EJabjyd61.7itGYh.RKFvczrs0sdEavYVk9Ir8eqRd.HdRw0RFMJpRRq5Vuff3QsAmwzBIq31uCGnVrnCA8fQNp21pSgtT0Jwzj.gHcqqhkVzqmwyXOma+ClntiMBUYztUsX6li2.4gFrHw3VKL32JCGmDjzzf9hdqvlmVvuBJebwjNeqVDCYqqRfC.YYF7ma6yQ8MSPhiXg8VooAlctfFhN0Kg0s01iXVYBTnVguwJ2J.pv0UnusYz1Olzta40W9cXbIf41ox62J2llvHsRFpdhTCp21guz6.azBQUiLOzF25y6DuBTyZ.g9sFSR5cnJwjhNsdX1W25mCoCQuxJm9y2u0aO.QLdQoEu2ZwUzkCvLSEUfsOtUJWKgHNvfEwotYorwrPOQiVv87XdaPbOr7CuDBi10nPFyae4aRNdnBnGs0s+1.xGlvO6g5OeamjzwiBzfDR0S5Vq7UvFAHfgG57QHFR29ldxmDIZD.tkaarWxPOVA+TLINi1sdNBBDBO3fPAptxstME2PXoolvn4sd8Xj.h+kg9RtUr1DSiB58WiwoKyrqeqOzxlu9yhTKAUpeqKN.Ve3lZExPljGucK0IpPUD1WZGM2EvnBBkGlYZCJS+VmJMUXntAapcawNE8zD7D.yUCG2cq8Nl3f.J5LT+5POg3b6FLYtYkM0TN.L5s5SlgqZA0XvnJrt8aQZtH3HMKO34MGURDJJrdCdGu04kMlmuUfETtMu81YD86EJJIGDec9VOKCldJAixGDPQ9V22nPZFQ.YkU8V6DVTCgDn5g5khZScqWOXdWbaSWtG2lGra3IcPOIrOPkIM+VWAm.xdksYAcT5VudvolnlYPWl80s8.KOD8PfgQ9Tgx0ucqMP1p.dUVXtURXIZILyykxGPwntF2p7PCZ0.hQ0PMSJ2prnqOm1TCLVP3gF2JdNYuJQJjgCDPKPt8WcAFRYRCgRdt0I++DySC7Nx7wJ2ZlPZsVmMAaUD5Q4VkUpX.EBILlJcCYHOuceTLfpsSRMAJowsu+uByMo.vAno8RciWO3bdLdTNM4j25FLjzTH1wfYhOR4a+8WH0N5..4kju82KTOm.IDcL1bqGQKrDFBuGu8t0bIiPbqvB7PcsHDxuw97Zd9W8W87q3e4K8Qdqq+jO9h25e9a9V2+hG8jKdqW9O7ac98t9xe04We4UOhOxm8m9jO57328ymmzid5Cdva+E76ldiMog8V+5Kt7W7QW+jW4ek+M+1nDGTzLksQEI+gwJ90TmF632cjiTUYVTaW7sNZu1HkGcWqiCXkhpze7ZTYKgUHHOYcTGQX40WeWyHpMCkeECPBCG6qmKcBIqAjiHeYLuNi4qOlOZF33+.cCbIq3u1VjIYbfXehgq930FBoitWFEcmYlalVu1tvL9tLUvY.eJAX7Z6JOwTGqwAVdlu9jXmdVNcmJvjPqlFiWi.HfIrBwfPKDLfLu1txUlmT4vtyfspv+ecsHCM7VPW0BcX601g5.xanvgS3.SFjwWaqD.BkL8zSgHCXhxu1txvVuJRvIPmuwVjWemQX.2Cpperzs9quiHiArYyDYZJvEvq65WFUeE10gZFP.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.di8dOypySN81h+VeW8F6oO9Y+80S0CCageo6pOB+bV+9Jmto9p7W8qd2eA2.uz82uit+d7EuS7CdU2H276X9y8kdgaO8a+oekVM9wW9ne1Iu2e869sRG7Z5Ge9u4lu0c4E2Yu+mZ+8excOgTF9WHBRot1X9Ku3We5d9r67Gb216TClXFYgtBf8O6ziFFUO6O4oWe0C0d86eZQ56cwGd9Sev0m9iIKKuxaqS2CO+d5qeWtC961sEe.ZCcQe.nUz03HE2W+N288e3UWc8GoyNmcy0+qd2LW8W5d6Yeyy9G9Ute269mcwSt3l6iW5h+x2gm9dm8BgYc1Yuvdqeu69jq9vq+K94wVnWdK1+4uvQfW7C8p1t8xWF2l7W7lQ6AO8UxszWh6n+QOeomnxe1y1WQqze5iwy9rJ9om7y3Jcuyevy9fxbvyNDcmW3A8qe2GEIi7xOi+d2Ua69n24lezq5I6S+8rGkdwGp67YtQ+Z2Mxo4Y2i+A28ykJzKrG5Im8Y9hW3w3qEmqS+cyXvy9k9OYM3+j0fsVC9F28I+pO7u3h+s4Wd+0u+c+vKe.aKdmS+3WJ5oSawd9u4eWN7GoB7fK9MOKmvevo+LO++jiOO59W7adVvFeeEuz8u+E2O9EdV.Huz11u5Kr3+FOew+YQ7Ve2mu5ey26e+ey699etLIN6kV1iu669e2C+e6aeZ6vO3wW7u8oJ1hO4rO3hey0evUwETwA8qzCF+gewOw6c9u3h3Q+8e5O+O8wW8zON9hO8V3+0+u9e5O7q+W8+769xumdVlc+O7tms444cKk+lu8m444u9+3+w+oewddN6e5+m+uGOOe469e8s9b7uTq9enbAbe2ywyR54U9bPl+6euj+q+buWNK+E74fK+KX930zixYm8peTdYSPuhGkyN6y+n729s+B8n7e6ev26u4a+Ys375344c++3e2+8upWMw2+2hmme+WwqF8Lt4UC9+966cYu1d0r6Q4abSoCt++Pdl4y4P9lnedd0i96e+LV2JQM8dzEQRtO4rW5KuIKKJ8xMYl7duX4Xt4j6Ye1mvWtvQ++adDeV7Vtmw6xy3KTJpaObl6d2j9ZyFGRmd0meAuIe4P1euWt5XepC9y1FV6sD+824pq9kO77nP.+VUv2+AorEO77683q9Kt2oJwvC2WO9N5b1itIhleLe8al970.+gWd+K+Kt28d4K0m6WL+a6uX421ew5us+hsea+E6+19KN9s8Wb5+E+w5quIGB1xKi9u22+T.i24YltUbqm8+C.LR8hi
                  

                  ...it still spikes on load.

                  Christoph HartC 1 Reply Last reply Reply Quote 0
                  • Christoph HartC
                    Christoph Hart @tomekslesicki
                    last edited by

                    @tomekslesicki Alright, thanks I missed that, now I can reproduce it.

                    The easiest solution is to just warmup the network whenever the reset call was made - it then just processes a bunch of silent samples and throws away the result. I'm not sure why it creates the spike in the first place and usually the convention of calling reset() just before processing the audio signal should work here too, but this will definitely remove the necessity for high pass filtering the values.

                    I can imagine that the amount of samples necessary depends on the network so I made it a dynamic preprocessor constant. Just add

                    HISE_NEURAL_NETWORK_WARMUP_TIME=2048
                    

                    to your ExtraDefinitions field and click save (no need to recompile, HISE will reload that value and use it dynamically. In the compiled plugin it will be a compile time constant).

                    Note that there are a few situations where the reset() call can be made in the audio thread - eg. when using it polyphonically and starting a new voice, so if you try to outsmart the system by adding

                    HISE_NEURAL_NETWORK_WARMUP_TIME=10000000000
                    

                    you'll blow up your audio callback.

                    Dan KorneffD 1 Reply Last reply Reply Quote 1
                    • Dan KorneffD
                      Dan Korneff @Christoph Hart
                      last edited by

                      @Christoph-Hart you might want to consider adding a HPF as well. Many models contain a DC offset and filters are built into the NAM player for this reason.

                      Dan Korneff - Producer / Mixer / Audio Nerd

                      1 Reply Last reply Reply Quote 1
                      • T
                        tomekslesicki
                        last edited by

                        @Christoph-Hart thanks, I'll test this later today! If I'll hard enable it when building HISE, I should be able to test the results while working on the network, right?

                        I also agree with @Dan-Korneff , a high switchable high pass to remove the DC offset would be a fantastic addition

                        Christoph HartC 1 Reply Last reply Reply Quote 0
                        • Christoph HartC
                          Christoph Hart @tomekslesicki
                          last edited by

                          @tomekslesicki It's a dynamic preprocessor which will fetch the value from the extra definition field while working in HISE so you don't have to recompile HISE anymore - just change the definition, hit save in the settings dialog and toggle the script fx bypass to hear the change.

                          T 1 Reply Last reply Reply Quote 0
                          • T
                            tomekslesicki @Christoph Hart
                            last edited by

                            @Christoph-Hart yes, I understand, I thought it would be easier to test in scriptnode if I compiled it with this defined, but I see it's more flexible the other way around, I should stop posting at 4AM! Could you please add a switchable 5hz HPF to filter out the DC offset, too?

                            Christoph HartC 1 Reply Last reply Reply Quote 0
                            • Christoph HartC
                              Christoph Hart @tomekslesicki
                              last edited by

                              @Dan-Korneff can you upload the changes (or make a pull request) with the 5Hz cutoff stuff, then I‘ll merge it.

                              Dan KorneffD 2 Replies Last reply Reply Quote 1
                              • Dan KorneffD
                                Dan Korneff @Christoph Hart
                                last edited by

                                @Christoph-Hart 🤟 I make a PR today. Also have a fix for the bypass being ignored.

                                Dan Korneff - Producer / Mixer / Audio Nerd

                                1 Reply Last reply Reply Quote 1
                                • Dan KorneffD
                                  Dan Korneff @Christoph Hart
                                  last edited by

                                  @Christoph-Hart https://github.com/christophhart/HISE/pull/787

                                  Dan Korneff - Producer / Mixer / Audio Nerd

                                  1 Reply Last reply Reply Quote 0
                                  • ChazroxC
                                    Chazrox
                                    last edited by

                                    GOAT activity. ☝

                                    Christoph HartC 1 Reply Last reply Reply Quote 0
                                    • Christoph HartC
                                      Christoph Hart @Chazrox
                                      last edited by

                                      Alright it's merged now, thanks @Dan-Korneff for the contribution! I had to modify the code a little bit to allow the usage of neural networks in compiled effects - the HPF filter setting will be baked into as a compile time constant when you generate the C++ code for the network.

                                      I also added a check that throws an error if you try to use a hardcoded network with a neural network (or global cable, same concept) without creating it first in the scripting initialisation - before it just failed silently but now you get an error message in the hardcoded module's interface.

                                      Dan KorneffD 1 Reply Last reply Reply Quote 4
                                      • Dan KorneffD
                                        Dan Korneff @Christoph Hart
                                        last edited by

                                        @Christoph-Hart said in Audio Spike when loading a Neural Network node.:

                                        thanks @Dan-Korneff for the contribution!

                                        It's nice to feel useful for once 🤣
                                        Got a few more enhancements coming soon...

                                        Dan Korneff - Producer / Mixer / Audio Nerd

                                        P 1 Reply Last reply Reply Quote 4
                                        • P
                                          pokemonguy @Dan Korneff
                                          last edited by

                                          @Dan-Korneff wanted to say thanks have a vsti with a few nam profiles and although i was certain no one was going to be keyswitching between them realtime, i was concerned with the minor pops occurring and couldn’t figure out a dc offset to save my life.

                                          1 Reply Last reply Reply Quote 1
                                          • T
                                            tomekslesicki
                                            last edited by

                                            @Dan-Korneff @Christoph-Hart fantastic additions, thank you!

                                            1 Reply Last reply Reply Quote 1
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