How to make Mid-Side processing?
-
@ustk All I did was just add this to my project(plugin) and I have assigned what fx goes to what, but nothing for selecting bus 1-2 or 11-12 for MS, just as you add the Gain module
-
@ustk now after deleting this, the audio is passing but there's not fx happening
-
Do you have 12 channels ?
Have you inserted the MS section at the top of your FX modules?
Are the MS FXs at the right place (between the encoder/decoder)?
It's hard to tell with limited information ;) -
@ustk Yes I leave everything as it is in the snippet you gave us, I just place my fx modules in between encoder/decoder and I put the fx modules that are supposed to be affecting the MID in ch 7/8 and the one affecting the SIDES in ch 9/10, and that's all I did.
-
Ok, do you see all the levels moving in the different modules?
What is your sound source?
You can export your own snippet so I could have a look, but not before tomorrow morningI can't help pressing F5 in the forum...
-
Im running late getting home, is HISE incapable of simple routing ? I see zero reason at all for any encoding/decoding of any kind, its a simple case of stereo to mono, phase invert.
-
@ustk yeah everything is moving. sound source is wave file in loop player
-
@ustk said in How to make Mid-Side processing?:
so you can select bus 1-2 for LR or 11-12
how do I do that?
-
@Win-Conway Waiting
-
HiseSnippet 16750.3oc68sFbbbbdf6Rxgj3EI.E0CGK6LFNVAThfXmYW.rfxRbIdQBI.RP.PZonHKNX2A.ivryrZmYAIjDknkeoXGGqj6NeI4GmUcWUWRtTkiSkptj6Rc2gyNUkbo7ObNWIoREWWQWWxkW+QUcmuqt7iSW287p6o6Y1Y1AXwRhANwl6zOlu2eec2e82rXc8xxFF50yjsqU1tlblr8xs71ZlaL0FRJZYla5LYGfaR0FxKnb6YUzTL1PtdlI2tljggbkLYyd3KA6V1tNRFzeevElTRURqrr2ixj4F5JkkmWopho2SWrzyqnpNqTE4UTph06Bklqrt1T5p5M.fzg4xkolT4MkVW9JRvtcHtLYO5LUTL0qurojorQlrGYR8Jau7F52Ryp+2PwPYUUY3ODxrLXhrd7r5pUfPL7oYlZCE0JK5f5FYxjkaQOBwgsHDmlaAkJJtO2ifzOpAduQfSOxdnv.OAbvKWzAurXf2Qr.uA3VtbckZlds.gsd3lSyTt9ZR.V.NXY02LG5+0HbSoC5gl44pJso7r0A+vcDCIHLVtyxOdtbm4o6q695djm7I4u7UWXlEl6El6JWhe1WfG7.deRC808SB9+344unFu7skpVSUluVc8WUtrIu4FRl7F.j2.7Ok4aX.Xj75qwe44VdF90zqyKoAl0yYMEO4Hv2If6aXxukTc+uG9mgGIXdt0kMQDHzuFZPecaPKPuutUzJq1nh7PCdwFlanWW40kLUz03u7Bm6UM.chG92HiffKIhdnputRY7wupdCSrAg8m83Uz.3RUqQKA6M5oqcarIYAYsFWVRqhph159lKvjHwufdEk0TJaMG.Jzh.JkS+wlFzrydt.SSU85gALXyCPASEzXcIfjpAI7.lmx3sxWC.JXC8FMVPFHuvCDvqaJWAev1jCmd3mPhdpASJo8HqB6gBMK35Ffoaw5xFxlFzTOKQKPOpY0CmgiMAKpeKP6S1vzDHdQguVstpUqTubf9hgNPnFp1QO1k2D.uSdIqQw+D7181.xQAiowpxF.EoQbmsmWSeUwUjuMCIJvrAak2TmG1A948AHybMqGwfBBFpSq7CI.+2qc6yPPAflZXS.PXAnUCmWHR0eD9mI9+M+bW44ARgUjgSfmlrhVsFlPGE35vyr1Z.SDCMnaiHMWuAYSHQT8kAlQXLTecw2D.HBLFyLWi58TEJ2.Lfx9U3zpugAdeMpaokwXXds5aXypnBUBXMF6l7MfOiREyMX0cTCnNiSpA56gPq8Z01LICdjXnLIwv4RhQfMIRwmDYynDCjSIFNqRLPdkX3LKQ1bKwPXWhr3WhAxv72cONhX3LLQLGa.C+.K5MzJa4s.96MmzTC5Xutt5PkADBcMfK9yBdE.ui.CAuQecC0z8wI.gwbNfASm3DFxp2fWSWdzxf6iGYK39XSjBtCHhRvMOy0BtMWYxf6hG4K39fvVBxxxJUjaJcIjN4QXBoS1TlP5AhzDR6ybsPZzk3DRe7nNA2o6.9+cBXDF3kin0PCZKzM3YfCzVzaJIU0UAwqOjeYRKyTIzkRq6WZgQV1dNXXvCHZDpIOP6gazKfIftWTF9BXjnFBz3WfuNrNDnAv.FLQGXaDLfQ50JKCgALHm1BzXX.iinCA6BCJNGJKE1gv4oAMEL5FEWMnwZ0Rf70fek38HPNaPCmrGr4sAMVrlYwcCZXtMFH+MnQR1CJNbUkJuhAng4ptNXzrsKg0G6wS6vrpQjbWhMUPibCM3VVKdePmd9zV8ioy0l5AoodOB2yQXdMBziQy7VzTOEAzAKpfeGohMkFH1ThfX3TAwvHChARGDaFgProTBwfimPYM9gbDkfTl2vQDA92JR0jWRGt6P9koLq6IRQ1Swl0U1SObE5vsWq9PBiF3DypS2w5+QV0P1FCB3EnWyZnAO6r5QTHFqIAd4QjZPz26DVPKHE+fBYA2pPqGvhWrFVwq7L6Z+4RA.pE80cc404kzVWEZGMm010Mxmfe3P+CQD4EZVu9DiLBtUWOJOlQWoJUVTRSVcnA8ZFvJJTXryxme7h1af3H7uzys7UuB1T7xdrF.SXw550jqapHaLac8pvt5a9rE7F7VnU6dddg74Nq8i1PVY8MLsdFfmaywdoQneg80MlblptTk4pJst7PC9FKtzUetYlZkWY1qN+zyrzcf8Z3kUp1PEtyWmql15.HXPSYCSaOIjhqKBrBXtDvh.v6xPNdWFZ8yXCyqet5ntNzBR.Kxl5KIUQQRyXHDS6Lmk+kL2Pw.JeNjM1clQDAZ1tOzF+.O8kcjsW+bUpKcKanGAWfoI2Y4ygON6Ii0T8xnth1c26vBiPpptZDtnjCF4HtYgB7OEuvY3+T74GKmM3gdg0kqAoKC49RFYD11jDG0p0lJzNyUlFwOMhlfazUDDaYEAwlnIHBXLiVTHbUAw3nKHtqnLH5SaPr0TGDozGD6PTHD2E0HDaKpDhISmHZxvi7j3xwF0Tzr1JXg.CiFqOHlMcPzX8n4gRG4Ph5DiYIzPJHHTrCrflRAmY34cs2Edf2+o0Bigwe7HIoflMzJYGAcLux04Q6.8RxUZXIsD6YqEgsVba8wNmjo2VSppRYCzgUYcPIjqAsr6PQV8AyN4PJWWFHFQ7rgFz2ffAJM1DmkWTXbfE0.OiAeixZSQh+aCtWImkuXQv6abx2G8Vv3an1qSO9uSzx2Y+RYtxdLQk.LH41CePLPhq4CFuSTuazoVLi15.6a13FR8+pqBOCajQ.yPcEfLx0Ebl1h+YvD7fvvEMMqqrZCfSOrm68OcAJzRGQSgPzlCaEMxI.NGd3BXnSKWVYUfIwY0qC0HmUpLvS9PaY81DhRWEblX22DjTbCnob64Am1h0lfq2NSBK14y05qs59QiRMKfT..sthgo8YIF0PQ2Td6.E1AsgjwA+ur7GAd7TSBO9W.dtBH7D90T.xT7MpgNH8x1cy0SOqcPCME.u8nIlxWucBWXfvnoUjT0WuAvw6F52xINA6cKwEBfsgd6nFNKOfMACbB.LFx7CsAvfwHMzf+OfWxcvICLeUARXX16ACOhKR1CLrqVesG7Uk0ZDYVLrySpYF7FcZ0NB9s+2rX21MkTVt6zDHaG1iE0T2aXz1SdnDCP6MiYhX.IjIBwgVRmENv5xqGFO0qKHLw6mr3rdslTlK9LEH+0tS9YwehcMdr2KnYzmHvoo3R6Bb8IAzQqf9ZxpsrcfvK.vL.iClPW0jpKgRuIChbbCLigIOX2NBYs+2rjDraJohAtSSfx.voXOSG2dxCjXX29ftanhEQVTqhCQdwvHxBMiJKfSlEBgNKrKQnEZNkVXOkTKzLZsPTTy7TKZtNVq8efaeAhiu7Um+5qL2UuBu.N1fxot.QETq9Vz.7YBgNBA+GzpBLyVgQPJv7TVQMihvL3QJ1jQJF3AVhfnv2kktvfPnrq2pFxgcbkX8RjpWCKjKG+vXcFQ57hoGerDqKI2YbxUDDfxdWPvwgfykIzqLxXpXjvTgngoBrvTgvvTwfwTQeXJtvqHawi7MQ7HefBVEZxHKDpfU9HStySQHyOFAYDCjno4f99T7QHyhPvTP6kFN.agTO4H9MVz9yZcu+CFs8J5lxWUanyz8azcWceGpVVaMVMYiZpvsejtU68kLvgMjVipqJW2g+Y2uLYOB4kRfK3Kk.9clnrE6Aqi5ZyooXd0ZxZAcUExXySyjI6unMPA5pI5JKzm8UVXdoUkUynTIS1t4jqVyb64WUMCBhgWqAMfKb9s0aTmGD5V4MslQ7o4D1Si0Vphlmt3pBjx.tTclFuaeRDGt0xahwvWVE3WsNZ38v4toBdSvm9W8Ocyevsl++TTlfSvguIJs1bzEGPWq5yqspeb3CtPTFdubaYk19LlgWbmngDFnr1PApjtZqQI6lCkAFs736gqpjACjXme7PejRQiJBMB5e328zeqSVJZvO5rlXQCi3qeUICC+C+le8uSWQZ3GmqpRkDP7LqKCLCzxSPebnafgVYpo38uzO5e7BQQSrONUfcWCfInIM0ZMk4dgDgDMCmDQHjUSzjLfKwHQSSeHIh0pK+ZIifjnY3j1RFIZR7HHweZHjwARHzhnem+jHpfsgx5rzOKTJJ3PObFlaqBczH3LAbYiJAvavhwvFMyIHeRd6Eh+f6iqrUp8Ifw2ZggKlrgmmgTSzHc8xoVasDZVYiDNC8g7sjno3DV9WRHX.CTHQSwCY6pGFsRhlHK+csLWE4uqkGsi+tVdB772k.L.XMqkGsk0rVd3mjy6Taa4IwNjmDfCPwwDfCdhhI.GPgcl.IIqvNS.QvdKAaM0ntcFtPq4SsKt0qqPE0co7+NQyqXubxuVM3cnMd3OwpOfBArCdMZyvIcV+B6IIZKgY.ukvjj.o6yRbJISwIrknXLGuesm4wJEMhJT8NYHBR2N.RZDABnE9jsrDvnSFszxNeRli9cM0mLTAXsm4D7t+fHRMgF7YCBQSW8DVgAB8a1RAwRL9VLNVh4HeBggVHZ19cilkL7gVXFDS7LjOIgvzsS7SBspeGq2tPqFUsaDTBspn.VHTsLRXECkPqRCsChpEG+ovhhJI7ROisIXUN1tQa4Y3TXgSkLjwwEXKOEXt.a43JrWqC32sbfE86DXQ.yRzhr3TdQVDv7DUeYH5ZhliSZSXYMI67iG5iUJZTVzhYSFtXsX1.nqQDLfF.SDXXsegIifZYFLQSB19ElLrAtApLmgHFiQeH6gA.DQKHiSZ4fFNGsVTFjSfXKuzPrIIeRghVHPiAbCz.MGsRbBtSgXxmh79lhVLVCwjEqgXhi0PbWHVCwjEqgXBi0nEG+CgEqQhXlX1dSfOdGmqs7TPrQhICeb8KlfsRxyuXBBACHkCOB6DPVg.PhlBfTpU4Wo0F9w3pZDcKMDdzczvdsVNdKxiIhdZp86R6BhNwB5hqF5GtFsODWrbky9cW52pTT2MK3jDQh.Kn25G4iIz6dReL.8uYDOeLvLj.3tJ5GhwDtsbsz5xLdGRJCD+sil7xpneHDEHGSUgiaS4siPjZzuQ.LqJosYyoWzC8D3Cc03M1d4rygZrbtIh3p6Pi19Ty5c6A2wCpwIVwkEcLNTYvrEg3ZpMVGLZLpUebKBdFuhA+Umc1Ht87V6NNMYCHde84lVxTBViWsybJu6AN3YSKukRYYqJ9ZWbSKaroodsLYeU2zkCfej.O5xPidsGgaxKk413X713+.E.f6C3+kJYcmncex89hkVSQ0tv69w47e6vgITGDdf2Kb.xiAPcED.0uiCVYTdNIhAb2rVIOfamqUplTcvbgMoHjwCddBJ3wZp4smadQDbQhia7E7iiu+sJsEdA4MSKfF42KQi7sMznvdIZTHwnQfR4b.PQb2RL+mLPwbK4IbH53gAQ426gHKQCWBFgcsnAjE16AxBQAH6IBoGpGjduaiIbl4SWZMfYSKvX.tkmkeA8sTj4WTGJ+4GKtser3tWpjo7sMYk1ovocYkWGCnKUB5LPQy8Vl37VWAN.dzDrgbc4Ll55plJ.yzeRfqBY3cwXFXI1Fa1w5LNgnuf8+YoPUYRRZQouBFs3laGCZwNK4mVjofMsnKtbmKWN9JSxfFHVRthhojqJJbDNUq8d4JHNdQgIxkqXtLFRaIOmlUMa1pqApZ2KIVitJINKvTuVU6q1WBjUybgRqttCT1MmvXiO93hBilQwTtJdol262hzXG13VUuNHxSRBSF6mBKpIMLved1iRiqglBydH5N+B3h5GGpwU0.rn6ZV5wYGlRuypHVOLbpFVz.lt2kJb6gKhzBULtALthxRpVXGIYKySSQ1d5RFfNKacUv8d78t.k+.RNkq7+GiaJUEfztoN7+CBTnLp2RMJSMmzFetJr9JCvPD4z1jsYU0kLUzVeEfEH6CVcK35100lcEbKEUvIe7krCvxJZp94PE1cXgV2RhySDgTVvRvdhBSL13hSLJoPhcKiJH.DKPwwk8+.G5FbM3T501tNjddEc.MWdvyyOXtAQkqmAgIT+7fmoYHWYlpRJpfFQ0vLulugE5.Z.Vp2rd9jMTTqLMrtXQz8Oi7pF.f55KMO7cHf8N.QRBSobnAAxgbcC4oZXXpWEIG4zVeceG+xDzFIDJ0DlONaq6Hjw8XFyHLrmgRZ+mfRZGVI7YDYQlhTf84YHJ+9+J+J+EQVT9i5IJOshQMUosQhxPHf.kOQPlv6GrTBnu.qKkJP991vcV4+iksLtrv8Xwx7aubNcQthKhcz6ZSUbQri931Og1RqmWfGk6h0UjT4WRugVE4J7KrB+j5pUvMrezSXOOdF165nN1tj0fOohyd.4yJpfvXEgefNhr7PfDmGxGwYxKMUfzmixM8LKb0nPY7.WHF8ge3tA05QBgZ0DJgqCP2MTyui+.su0M2JVBhFX5K7uKt9R+jl2NgyH7abqKt7iUrPgbEILw0CWwwEKHLpXdglZg6nPKb2wmq+7ExOQdwIDGeBeJi2SgRYrXKXCgN5fds1xWzYyZIrbuCaKrrFVPAGkmR93eYVZ4iye9yidFNQoqi9a9UK7gjOUD93gFZn2Mis.oWmu90u9G5mwFHzeBNqRIJB7Esf+G8H2+.+8gC+Vf++lCgoq5B98RA9+DYhJ3Cd.Kv2QeKQfumviM0+eeVav+mEG7OME3eqLIj5uK.9DRO4sf+u6g53f+iGD72M20qYGM.B1+qbf8igC6mhB1cdhqa4GkadcoJ7ZvuWJXeCXxHoppeKmqMpAz6Kx8sA+SveY8s7Ec4wC1Dyz52RCGP2oUAzOpEfB.usTzaXrG.rmjyxqlc3IVv6OxQn9v3v6eFE79H9g2A8h2wsJCXM+7qVW+V.nOdf8wBBrGfyWoCyBv+Sc.7+Bb.+ugBvmz9I50jdMzNqdzrL1ggSEo6tomq0Z3K75tuXIewWdVJWZJkf07Wq8nEUGsxTE+6h1KtSUIh0uBBxoF1BHAgh9u6BFMVaMEHxyAW6cUkJUTkAqcWAAadq.eGTRI.0gbWNGjCA+jAMo9sshogvcegB4GSbbpUz3tTcR0aNfm9hEJJDzheiFY02MZ0C2+f2KkxFAJ6.gPYq6PVgG1kGteYbY1cVgZ4SeTpkOIjK2v4PqeRqQ0kgc0.O+qZ59CLFiEUUJe9u6EBlBuayKICmO6ggm6sbkUzIUriFkc.NUkpAPb+guWJwEi35S8lwZ7B8Fp6AGuuI9ZXdIJ55fTz0kaTCd+t0WUHmP.j2R9Iu2cEJx60Yu2Ve+KnXrH4t7ZUoCXt0uGkaE.FEnAk6cgJxqI0P0pnhfepettY+3b3ed43ugtZipxmm+MtwEm+5ybmncBHVz04ptN9VegSW245X6U+GghhN+TSyXSTt6RLV2F7PJcAn9ax04AvoASMw91hyr+fKDLcyujmsg4d4tL76zHXct.SyAXbkHDVt74GcTfU5LL2+2ltYWiUJv82lZErdbAO0DOI9fDDvYvmLZEmAL54ah6KcIJkmmh9X4fSxqrttZkW44j1VDvdhgVTlWyOA5lkYnEw+y90+6uP6ymczr83q3T381+9eYbEkel6yL.0Km2WJkPLC4Zt4ww5OkwFGJ9Q33+TQyxC9kujz9ye6Wd+z9C9sX3fkUH+bDbW1DZ.AxrGHjrrxyJj.FA8a+0wMCcsHDaTNX82JxwFcIJJxECR2oMtTg.iMhvXczruiU1atMt4VOxZI08HKSYn1d1cVmcjm+2ikkoiwMGDkBkCLTofnuD6vCZhZsPir2i3UWOjni32bOw5z.M6N7XYXRnErLkIiOx38gFpH3L9DR7zkvTLhled7B.kGIp+uz8ypRGmaADNQx0ECT4YvRtJOOl8PaMsGmrNwu5S+u6du5S+M8pw2xN1GrjOB48gpOjrF7c8vS9OpqJ2ohmgYeDegEYL1qBJ9knRGqWhg9xMWas+rXFTr22Ig.8fOGoPvKVBKFYrucHs3BxgjTRcF92BijduWqsufbalbqowPQr570XvWDti.Ni0r6vnhZbZtk2OOxw68NcZJKADPF5ahYl.zjBh0+hjrdkRr2ICL8mG05E0ZpN1TXRcmbe98dcmAZVQPokUdnnf2Oo7fIwGDimRqBiGFM0JupdIVJnqgQc+f2ZORqpzKPQVdQ1gr8CBIZ733bBVomLL3m4ZjA8Nj+UF4pN8QbFPnJTmr40DTr87pwClzVPfxJUhAo8wr6eKRYwqWpX4r6a9fIwsGtUPXaLnueTugzhjXxJJK11K94dvjH2mUNb.v2XPl+X3CpU2mDU8aAu+jjNdeec7cw8NsYGucwcPeKRvXJ9jEvCu0w4YD4z1WQXRNcss5D3zhGX4zXLk.4ztdxi3l2.8NQyoW7NcBb57GP4zjbk.Y03gVDQtMzQIM2tz6zIvsKbfkaiyUBjaSFkCiKuaSKT9XGFGQhe71TQF8IouplR2FD2f3q.mKVW23LOCEMXT12ll+KdGz7o3feFQPYMpy5chFdQT89w1Bf2ni.sFvCsrWpQzvJ+eQAv1WvOWGAhcZODyKL+ngazenC7vt28KzQfcOhG1gGeMizptoeAFv12ObMs9+bT31PzWNSoxa9DqUGXp5UzqgJc.rPvOMEBNQPoBXzP.hu+CXtFdi6Sfe+e8I7Pgg9b2mfBze6KvVj0WniBIdnl+k2.6fh945zVGdbVsMG2kWb1LV4LRObyB3LM.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.hj7BZybHEWt7WoSPbYr3Kt709tOfHt.fbJwEWF0tpzh6d4EQgEPz.jBKEwssvGtvxkWbVFBKfnE8Sud9RQU10O37K+UhN3LeqANGOBeESwDcwScFf26lWL6fyAKcpUXTNKYb829y+WcuH5qy8qlJ1VFtU3PKMQDLEsEfE+izJVUD4MCGdebJ30ZVZKfL4mEVrnHdmvAZ5Zrsy7vJ.hqu6KVX+onE67U9RwUr.LEsEZr2W9VLg3uRbU4fyQaAb8+k10CnuKd53TZ6HrSUdyDKwhUh1kkM5fN122WLqae9vgZ5q7K5NAvhVe8ca.16CJLV5sQTlQVKBhFvOHtsE5q+OfwX6SvWNbflVzvalXA52X2Wzv8ylL1JUMBeY1zhFnIgknwKynbcy7he+2FYmIdemlwrK+kCGhe7.pt86hfbWAUczfgVTdSxxe88vqN+.+.jfv2+yScKTaThtBUM9DSLtXd5Z843EyOQwbBE8pVoYObjfztcfTgcaP0FfX.p1HQ3fZnets8.0i+UwMo4GTu6LTL1onDT9oa9I0ijYBn3E3tWkmjalqw6tiiFQLObv9HficUOp0wfUmh6plaHWOHDq2H70I+13UNNrsZdwjWyIBn7P6yDJ04.k44HucWWIvak8yVhU4lHp6FK1GXcT4Q7S4TGJ+CxlISy4Xh4DlXQzDb8UV4pWw9qiR.YChObdbFqoORehI5CtNiWA9wLydsZV08XDXCKpsdqQ6iQAv4md3kz0qxvDKc48+6+EJw3CLQ1iEEqVn0B46qKvEvsY879TY3ecJUl6VJZE.vd4xOZtwJjunPgBLuQ2XTqriDkR94o8W6LW.7TDg9EbHzOb1Vr7YxXiHrIUQslUY+sH1WUMYBbp642qRNkE8yk.OIfsWsipfuEMp9wC91cXSzI2cj6dQbh9SzB6rWl4nrBjuTv.aDuV5mDSFIrKWalLcXEooKSQMNWrttGXbI7BGDlFSTJXbgQXsqAQz5e+LjD185ZF2qREh2mkUlS789d+Uswh2TRssMfWszh9x0RrTyItOy.2dWAkKgV178go22cZpQmo8sGlDnOXYkiAGyyVGsFTfEjt9C41Ai15.ZabCtCFY8U1qTAuIkJ3MCZYDcTUNsDpIdRmJ2EcXFkvusGuTaVMLhEbMwVP+qy3tnkL0Q+rs.q4ZjZUQygnSM4hRULW8R2GqJtWT40Rn1W+tE9KJ0u9arep90eHQKgKbzZd.6LpYaISCjh0gWbVIzeh5Jrgq9m162qhSRKuWUrCoOHjU1cpnw6cEusDp50sS0BCeCV4Uw2fUoNnkV6IbzZpbcFE8sXoxguVZLcCFUnJWNYTizDAVz5Ze1NMcsNyZ+VB077H+9ptAR6mJeA+0uoebwkVS6qynpw0hZejpKQtvwQxls9ZORV88xDwpcILWpnUVOKtzxatWordEJZ1UXnrd2mo6+vNuRJWzzS6OrxurREZB+JOXR320p2bIkreB6jjilxu5ClT9c4hQWRo+86lweTbf69pOXxA1CpTcINHAuxkFw8tV.+5V85cL6JUuvDdGLjPqvcOXumTjrr.qORD9yidpGvPVXmU53kEDOvJKfyxBoxn4EgQjDENAdEWCWV3lq1wKKj+.prfOdVfBC9h6IhxCX0jMhbU7U63kGJbfUdffmEn7.UbX3RDmNjUs.bCQE418v2N8u8dUja284nxmrmKnxzzCL01nnEo2oCQk.dyMn3Xe6W69aNVGbgOJZbr9B4hsiLy.u3Y9pJR3Ya460HoUEoLyRYngUEif+K9O7mvrhQzeo8nphztJADOFwc9rsLATrsR.SXISZWk.hGX0NpsLALeak.lv5oztJADORD9FsLArPak.lvhsTRIf86VFlnt+sfngvHg2N4UhoLWOpezLuGSh3o2qpDS6ZDQQJh38pj.hnXakHlvxzztFQLOsjnYBHh4aqDwDVCmRb1.XWFOvil48vi.8CZ2qg7gixZHGM9qgrCobrDq0PF4xwBFebWsBaPrFkHIQ0kck9f3aqbiNdApwhu.UGRAaI4BTrJXKdrwcU4I7MoHjKjKQEgBUkTH1ySB6SuQKT0VxPs52Le5PDmj0jVUUtBzhatnB1pTfctshNXOe6.rYd8asKBLDqt8wvKbXucqWEXXbySOePY3ZzbrE1si1Jp.BDYovQjnVfXZm3QudkNFBc.ovQkXT6XZmXyIvqpLDmokR33S7JqLsU4LqBNCNxz+qEW4L1Ubl1IdzsSsnAGQJ0HtZ9ATLZZmXxovtOwzqLXSbe6pItR0rX6Cu7RrLenzMCGkhdYrochMt2STeHymlrVaz503lEYbi+2yj3HtjX9VPuY3XTbK.NsQ7x6Rz3iIgmCh2qZRpNNzIE7yFz5pStuG2qmfuJ9rQ3nSbJcN6U3CqhpCrLKPV0Gx8ktuopO7v9q5CKCF9dVYeviXE0OYqnp.L32oE9gjT3GXS2OdXetGcpo.B6Ck9AOvMhWPk9wkSN.csnIYT34LOtdSxJ+C86T9GXnFlV+GXT+GhqQtS4c80oIwoU.hHVAHhoItGhpfBHrOTCHhsgtGAuzxefybGKllmQOF5QsPcfv998yvXWZgfHVEBhXpP1OYIEPXenTPDf13.gbYzwkUZMEwGDRoRJdWf0CBeZWQyA4IsWwHsNYZEgX2VMb.e0U.g8gZBQr8JdJRAjCtUEBZtmmpmesnntBbzG.IZugoEFhnVXHhoFna8DPbenxPzBq7FS93.XsgfT+H3hCgXjC+z5i1EsBWZ0gn0pNDwT86D30M.g8g5CQ.pfmJjnPwEYN.VgH7oyD4RDgOVcqWiH5CktFLzYSKRDwtHQvVcMr5yA.mXP5SKSDwrLQDWB+IsyHFFz9zBEQKUnHhKGX.2r3glGjVpHZ8REQrOsLuBOf39PshH1aaEJeagi4f6NVQxyB7N.S5XO1UKBw8gpEQrkF5CSZHsdQDp3.QrFwufQHtOTvHRj3PZIiHb4A+g.E+ZFg39PMiHQhDoUMhvEIniIKpUg.fCI5v3RqaDsu5FA6v9NcHpEvrrllmkV4HZeUNB17r9B6CjIzVCbPc10NhGqsU6HRFIrCt5Q7XsspGQxHgcv0OhGqsU+HRFIrCtBR7XssJHQbIgC3VBIPTwN6ZHwi21pgDsLYTjlL1wUEId71VUjnkIi4YHM1oUGId71VcjH1IOfcAHPbenPRDvBKe3HsvxzRIQ.kRBwc2q9O4pVhUsjPbenVRjHYpzpIA6pIg3tc0IAauKhU4jPbenbR3IQ050SBw8g5IQzg6vJnDhcbETB1d3ZdEkPrSqhRDWDAqjRH1AVRIhK5PTSID6HqoDwWTypnRH1oUTIhKh3VUID63ppDwEUdHrKrLiUJzAUWIhuBjaZr0QVYIhK93cIT6DqsDwWti7l204VcIhubm6cxoir9RDW7A+hNzYVgIhejBfvUz.wT5i+fefw2sRD3Ofogm01JsCs71SGY4MxxNQTsM.6OMJ868UCGknsM.mm1GFEx0WzTplbUoxannI66CJ+ahu.gaUpIuNu0O7InP1U.uiErdGrvYcp6GudoLQoJfzKGblWR2Txzt3e7eLqcw+30wK9GuCUw+3cBpTePhTaoXnrJbYybV0Fjn.T8gAThVP0LGpcAUGKHFcObvE9V0v2Wq7kw3w+dedrEA9wnWD3bW44O+BKyhA9hTmo6LkxdH7cEJrXUAvUHFvYTeFn22TU3aWWaI8FZVqOJfST1m6phTJaiSKliS4XsopGmPVMXL8XbUM7YWew6ewy.KrPGiS90HKqP2TCCM4eS+2R02jR3ohuxJj33iJTXr7EDK3urBIlWXTwQGsXthdJEYObjfy93tnlj51Fx0IgVhEJc2q6CZ+1edJnsQjKBRXs3SElPYw9vFNsMHOqpNHdKs0WAnaZa0SxFxmcEhcJLCgzDIf+qyBvmRWyD7JWA89NI2Ea.35NTEr86yaO.IwTghBhiVn3DiK3emDKTX77S.XWSKYJkIqH2azW277CtXc8xnkrLWkAOO+fNuoAOKp04zpHeavyE6q66vxBHN6hbOEyKLdthiO9X..LSLniGEHotKSAmUQED20zJF0Tk1NBTPQQgwFcB.7WfVVonvX4yOdtwsIhCylHNy07Q9FVHlzOrcyMRJNdoJFLsx7o7fWAwxU2eZ2+RTN5uICkm7STLmPQVJOiOwDiKlmR4gCOg2B4JJ5.2ulu68wygaFVrDiqmreLdOJ2nnNZAvSBvBOQpI1ef289OHvhxk2FmiJaPYhXki.mR3iLheRE6bs8OxHcUA5tAVUfB+.EJ8as6kBY+grSgrZ+tDtUejPJV.9H8DYAFOtH7U1+n8YddpPMx0IS6sOUrt4tgbcSE.bx9XtXehX9OhMVoSqidRzxMySRXihnXxLONG936ib3oiDGdOwHUh3Vz9SlHethiNlPH7Qe9LvYh8P5ebdoUcqrl0P+nPPGzycegnv8rtVuGhKyZfPLHE6GyueiRLRKD4JJlRHujviaKpmYnmadmKI.sS9e82YWvIusqbFN4sc+65j2KdLBG8Czza3YK3hxOR2w6f5aRXjDXyr0MR9qw1HIXNyDo3qbNWv3FcU6gl2xwVwu6Fa0iDZw.ESrMVt2aOzvcQm6sE418Hm69suD0qcgm5Qrbr2l3sspac96CcqSXpJhN0s9Q933T2Oma+1kduNWWTR+428s1uWz9.gWlLZAG4DnZGuW72lzZ32r0sF9t+SBvZ32LhdwQooTbcg2Fn1c99u6CSTMVNuaCTucQO2sEY08HO2DVShla6tczGhkO61AK8fjCaOqRQzacUzODii2ZBd19sqZqJ3Asu5u8s5DV68IBQcAB2w0+AI1dPcy08nBwLXm1A4aWLZGcROHucBV62sBvCxaGwMU+D3j7.cZe2E1en4wxqcnT33S+1i7.SJiSKnzbQgn41tGW6PA62Ny9DW8fzFni4OHhdtWE8Cg334ljq0lbc2SPtteTtK1vbC85JFnzjcZEIU80aXmeZYb93T8wwxufi9tGwelf8u3P1kjPuTH3nepmb32EU24v4NGE7fe.4SEwe7p50A5DKIUQogg8yQ+gktLYONcRSPyY5kaEESUYqGfvkWzIW69EfW0UDU+Qbv8WWl2bCYdqKUpGh92m0Oh9wy3GQ6gazQyOVghBhi6SvBxBnX9AQtgbemZO4Uu81qKqgKPbzOp860iaSmLcmLHZA3Ix0AuHquMEHhwmygX7DYcHFOL20WQXpgGexwmY3h4Duwv4xsxXdzhmkhVblLzL8FxOw+PFa5q2S+8+824CQe.f1MnOCvsLXZKKyOEvbL+h00IHT+DNDJGEAK5TH4fXfhP8vAegXDseaGhVMWh1w4dNcIMCk6aoSgPI7rQbBOJwJ50XPLhI1+ge3GlgoogLrMMjglT4LEQlvXYYwA8clzfr2vnzfRKf7n35UKIutBLK1Axbjla9+kIbMLeRpgX7YgPDjvIk8vkerb4yKjaLFdAElX77imerQ2+D8lkAMt2fscMsrA5YvPHPT121gx9ibormgaQUYICY9YzfetNf1xAw5TSUQtBuEOh+JnxOhG48aPQdEb9Lk05j.+lmqBBxQADdgrUcGHDqPAR.NksP1xvDzlk6reUWiQ8xszLWZtkWYlklY534DCH3e2L6F7eGd7iDA+UCDxckY4FqVUw4QH7865jT5+zXFes5lGttCUNpODEtFPfiV4vXgwApGLxDVTB8lKewDQe7EeNcNqafPGqqNhhwB5UAymT8ssDdHh4li6bEyECmbAeGQ331Tda7bh7MHVzwN9gZ5qKgsB1yKuMyasL05G.gwFv5GbK2GOD2TpJk2j2Tm2wtZT+NwBnYMH2DJx7j8h9+Nw9K4G99i9BkBNSnIEYxmWTnXwhiOFQBcmsa5Lrm0wasfjVCI0EgjUr63F90PDPp7As+79g1W3trtD6NTAJI7bhSHLZwwXj+tNsDPloe7fCNvBO7TVc16GYLL4wdmRRpp52ZJv+8pRk2z.UsVfLYC9mf+x5aA3vgfG9W2yz9Wk5mk00ZfEQeIYCfMpNXhd1CGkXOdXqzeeYYSXRhaPsJTh6Ev8j8gQu2VTJkSWBY+1ZE2GkaRc0JtlYsnYDIHtPwb4GcrIXrpU+eRmPKKkXQpLVqCis2FiQ4ulbLgPNghhSTf0dBKlezBiFuLquGNGxHNE7dqieOP1z+Mq31LpI6DoWOP7tggodUm4Fi7EhEE.xUXhQEDH7NI5qETJ1en+yYsyw9oqq.TeF777qIoZHake8SKukRYYxmc0Flf.UIe1jMVaMqvhIe9xRUqoJuDHlCxmeIU8UA55KtfutaVWVpJ.MW.DwmuQTWp1FJkWRVCDoMnG9Fnmm.PCl0a37b.sSRQapoH69MzAX0Eqp2PybAXrUvP77g4SAhDr9BJUT7OVKTZd8xH2x9IWq1fAriAcyC7BAZ7kfOmmO24F8rN+qwc9mBN+umSz8Qmy6e41OQ3+yKCu2C9ErKlezhiBhauI5CgD3H9Yx3H4MIYAyuFtkA+x0LtbbyUJbnwStFpb2BF+HVZ1QBXoYLuVWGKXmRV.HkSoa1XuzoTj7AABtQWUUBfeR.4Ji1lqnd3FOWwBfHY8eAnva.2QzwnOCMZGQGmybCIM.oCEk9FNqJ4a3t1r94VA0A9opCcCXPtGktgt+CoBcOWPWuTVDPOeJmla9FkUpHwOoJfkpBzA.bQ70lLR.qMgzsk0yv7I1EPjZ8FpRjQhFHcoat0.Fo.FZDrnLxNTl+LLJykma4Y3AlpkU0qgu3TZhwHLWbpEPFSBT2bKJoB8.Rtr7S4bsNYgx9oU9V4Qj1OsiwAuI51jiOoC43+IF4XpM.KZxTu1F7WVpN1x5tB0RXGe2ibzEfbTa65.iL3TihwgZDI6wGiq7F1KLwG5GA7roKek4iEIdd.2htHQt7al7jbWTUk26AwSkPzmJwmvcI8mxdPXJEAs+Xc75HwPoPzmTQIWBxI3lVZKkJ7WVFDIx1OvoRTggJQorOvoRD3hmeXxIlJbk9eqXFthuSLrbI5fTBIbgHsGK8vcwU0aXFVbKY1GVBc1Ah0kRe0FJpUp3UzKthi3WQjvKwB4bwWKhfqv4onDN+mQIbxJlXvB4FabwIBaIdLp2AdT8Y0suizU1Bdv3F.LC8L+lohjEn93VUEDelWFnwk8YbnEBtNmODmGZeBJz9KxXGkOz.7eH0w4vbCSwQslbNnz6qr+C5t4K1eKXQKB3DZUKjcaGj0H5L9Ofx2So6+X7m.mwaSLlFmXPy46NaP6udafKyR3Jdbd346eEO2sOjCx9NQmy+5TTfOR6kyqUotxl7.3QlfyKxfyGRoFdKCyWQpgMc3EbnChVU0E6ZpCcEiDLpgkZvOFw17ez+qTJCJAsxMbLJhPZUox2RwIhw+FGH8CHfzmgBRuXsZpxCihRY3Oih1v2.rtBogU0WWe3U2dXvJQAtamH+3jHhHEhHtqgHbbqspMRTEO1+vH2qIUVdUc8M2qgROW6fHzWE8KVfZRgfDDvDNcbaSaf6awlNRerZaCffFqJ2NIiaahSF+V6Wjw9BNw0tk7pyupC.dKG.74cW3wo4trdU4ETtMvDJ+mQdUCfgKrSOmB1e73r7if7EbQSXZ9Q3K3D65K45jbk0AqtAB3dTfeZGJvK5RANOH1b69w+c9M3EyILwY48HJmkeNsxmimGR8WB1IC9k.Hc8s.qU0kNc1rsK5Tu65zod3jZ.23aWZTCGZzFY8xftI2977V4.E+MT.KkQUWSZ+PNo2c8UmdBNoaMuh1l3Zx4bHAKfuH0OZ1fzjamKRsUMRbhfS8jpRUjukh4Fv8ozSNvM4A+ZY816tE.ckG1WdXm8nMuIkDvoYlPW25ea+LR.EuLxpMXCgc5eEn7AI4ArpUVjmPnCCbejLxwBotzAmPpMt3c+h66myxo3rxcDq5+aSNlkPd8QXmLhzwrD3A9eznjDu8ixAS+YY35NxZ+kXaitWm3M0OumH3e.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.gBlgx7zBHvt87CEpa2CExBeGv4xF720YdlP6V79PHHNmUhEA4esi.vGFcBxuPa7nRXSPhwYkDoiG01H2OzgX7KGwCISoyRaHvMW+31m1hEZdFGkf2Zu3vVViRcoZP6zSf1zCAQrNfKKD4uvgecgrsx4a8iofzqGaHMPwKN3FwaAl2yAL+si3lveHJAsGINatZfBUL1AsGYOX2kc2EdKz+myA8+C2U2A9emjsC7wgHsWjcXnsf2h.cZG8w+asqseONHe+656+de36+tEIXSGYjeC7sV8ulhEuz9vVqRPr1UNqyivslsogJN3861RGYbEJwfJI0VK9Uty9LiY.pIFB1kniaaai4u5PLoiQ7Hi2iIiaiurPBHc+fLx7SBDZJs.vW8H1.3gvAvORlfh4q4e1zPSNqOSP4Q+8cuPj1ktdr+tzYu0KNePv9Z362zcKQrcYyxuf9VJx7Kpitno9VqeYFeB5Bai9Xci3HiEKvOwzgUDeI26QhkV6tx8HWzW5kSsbE80Vy4PqhzWTF5aJ689h9uorhiMJ.QxIHVz+MkUHW9wKBhrOWrttO8WJjK0bOAu.V3pW.RSjBA28yhWYxz7soi+deMppQmhMitOtEAyGuhA+UmcVZF76uVXUgmli.L+TxVS+Vx0I2qsK+0wuQhedpOaeOAkJELhoEQSzq38Q3xWJBuDEZuDi6m8Neuu2OD+9YO410jLLPUZgEspZNJFV+iEkpCTrfJRnqsdMxG5rSjHnJhDidbIF32Oy+n2C+D7tHE03mJXpQPzhLzEXoRAUAyBkVDVElxkwFouE5Gia00I+H3UZEL793egv+RnO0zQhkmoXofsnP709p+.qgYGm640VE7BCpT.hJuWrKHXuHQAfKihS4bqWvxepq75.8MIU+eytDDDJVnnP.E+KlA94iYSSEFqTfllYWwxdQ5MU1ggQeDMQJmK5hCBBj1s.TNh5.WzcdsCMNVv1l1Q4xctBBQvaEMhDHQJPhAoGJ2uIXfPyb1DoEzq.Vo.PGapMj.JPyMM7gWB7Osa.JuXomAkQyd34faAEPNhP9J6glA.550Q0JEfWjiLodksgmxflksnafCFKCv.q+0r5pUrj7E.LoMTTq3BgvzfNhf6.bKpXVdC1v6gX.uvuid6wv6gWwVLal0VStroGvdDtYeAB5YL.EAlfRNFfR1gngEvhBANlkAudKhF7Wvc2XAIfs6aKPBTGNg.ES5i8az5EBrZdkFUsNwT.4QCDgjAzUMLcxr+cNGW2KKqUImSHu1MJ.+cV6FQ+3vdMJh1wTvevFc+gci4waLuuFKf2XAeMNJdii5qwwvabLeMNNdii6qwh3MVzWiSf23D9ZTHGdqd+xoYAhlc+Ul3JcHdegzwQBS5fKU5nEjNrs61sywUXIdzK2BKyOiVY8Jxj1Mr5UlC00gf23zxPiw70pKCcOsh9hpRaOjga4s3r7qppWdSnOvyz8azcWcemtwFCBBlD1ggJay+OSec+FV0wAmm7R4dY9mjW3o88TA7mB+yW6huL+S48q7uL+y9rd+brW9oA8cjQ3m+oVh+Y3WfWQiebeSvXvWPtyMdtwIF53ngZ8GXBPCcLdIsJ7iyOb9JSZMK9lqQgy0vBdij9OvbM7R9FVABbXTRbnnKNLLDGVFBHE8MAEYiCSPhCVCEgCSXiC808c.SkKqRWCdpT00UGRCUn2NK+VvP0bXo.gJRiEGOZFKz0lSSw7p0j0rOYFboH7G6In37TgLtvjWG2yM9fqXQY7AqQQG+XAZ74v1Mxz3yQrajowGN6FYZ74n1Mxz3ywrajowmia2HSiOcY23tkwG6y3DLqWeNT41ICL0ePOCvwpAOnUnXTVq5riiyqokM1zTuFQLXGypwd4VVAZy4RNgf0CmBrtQh9MtwKzCvBRbZY3GmWrG7YHWFyKVZRIUIsxj0+98BeiYORjCEFhD722D59o3PD46m.XjPv8O.b+bKJ0IHPzRFXcLOvz.qqsCVFX2Ohtq0MvteEcW+NlOWdCoZdw9CL2ZnqhrsZrrjIgHyTMpuEXHeJNwBmi7ustJ3+ZsmB9OmXJzuyLohjw7xqYhafD9rkH2YjLYtL3AKBdG36Vx752h3Qu6OnzBnuC.daQ8UgIODLfRXl2397SWByRdo7+NEJsjbkFjlouXCS80Ir2+AWXdkpJlVUcZrmhpwa3OXAEhMHpCZwPopK6spKOli5BRIXlWydCcl4ZDZH.V0rJpl.ISm30lTBwSPxL27q+c5pD7AB3eEMfOPDWpB9f79ePA78hD9fQITrjPzRuONVvGLt+4nn+GLAtBEBvx4eVEDv+ZYhdBEvJPAsBEnlYG38lW5G8OZ0mwv+HaidBEDKPAxBSfWV5RU.Ovn.x4raDWTSRcaC45HMPrehqG5UfM8jV1ozh0AqaP9V1ZxoVwO3IDcJGgno2VSppRYC6szBd5I0s5C4pBMkmw4H57rKBe7Ja.5+Fv50quFtnooT4MwkufOcIYToxGeAjduSpWwGbAuF8+ht6o+VmbGulWBFYu2wEmAaZ8CI+TXsQAOSWBEBjLKfwtE+Px8dBgSricazuK6FX7h7fhEj1TtQMbJn8nnaHUI8.iRp8d2zCGX8GMPknMasT6e6ekrXO1MUA96tvmQ1zpjEiKEA7.3emdfGgK1yt2qe5iuydyF4jMhKa+QwPzzUumpivRG4DrVNRWbNK9H30jbHeqIwKPe70eG60jX8fPVSx24OI9qII0p+AOq9T6X+wr100f1sdXYBnT5t0mta8o6Vep+9CdVG6kSG88EIzCz7+8PejTSjolHSMQlZh7.nIx9wdvBMLkIxPXxcC3E2I0LYpYxTyjolIOHFIoalwIllZbolHSMQlZhbe9hOzVy83lkZbmxepwIllabo4FWp9RP4FGG2LWSLM43RSNtTMv8dMP140TeX40jXZhMklXSoZo6qZoAjXS8gkuOhoY1T5huNPqjvLyl51IylDiQpMsy23a7+3Boo1TpHcGhcepsb83V6ZlXZtMktcqoa2ZpG+TyiDlG6CK2lDSStoTajo1HSsQlZijvF4.9RtIwzraJ0NYpcxT6jo1IIrSdBuraZAkJgXjLM+lRMRlZjL0H4AtR+0o8meS9sSllgSoY3TZ0+B6PoNF2LWyuRR343DiKa+AubbxalSywoTcvjliSmDKGmniruyKKmb+ZDsumkS7e4GouzrbJUOsMkkSmDK2e7qnllmSoKBKsBNgtDd1QOFdbk6WEwIvBwRyzoTg53u8qcas+Ygr0qo45T5Vult0qod8OfZf7jX45THVIe+ZOyikZkL0JYpUxTqjGHsR5dJ9KqTQN8X7SsRlZkL0JYZYJw6X7eX+GiOkgxzywO8b7SqTIXa55w4l4ZTZIoGje5A4mpD1FOH+9wNHeFA2mdR9gTuR9+9VCjdR9oJpsoSxuerS2lRSM8n7SWHVZIKAc6ksierIgVldV9oR02WcUp5wZSzBaCXSOL+zMfMcCXS86e.0BY+XGleXlIu2OdnOVpYxTyjolISMS9.rYxC6r7HH2w4bpFfylWwawrxSHxzAsLiL1DFlRGYsa7A.oicsb8HiGAjkzQ1LLMqzM2xkqqTyzV7nWtEVleZ4x5UjEHKItndk4PmOK2ZMzJi1VlZ0kqIUWdE8EAV4GBcbhxKADbNK+pp5k2bYkWW9Lc+Fc2U22oarwfffIgcXnx17+yzW2uQec2kyOeowdY9mh28WEeY9m8Y89oPtW9o44GYD9Edpk4eF944AtDED.CGeFl3k4eR9gE.cLv+.yvvKiOlwIdqS36sJ37VGF9VWB8VE6q66zmGtoqMktlYcc0gzZTcU45mkeKI0Ftz..WfT653wU6JWFcs4zTLuZMYMqeSvBverGU16otvm2i1+0VOjciL0VOrciL0VOhciL0V4rabWNyrRfs7tcnBrsk2iSyd1xgbKYMSPCWetokLkfaep8y.brZx0MUfhQYmVdKkxxNV6mV1XSS8ZDJ6OjUi8wcwFUTzmWGNX6pO.5I7vGwCkgjqKDxWgpu+EXDT7MzAucz4V38zZkddEU0YkpHuhRUY7cTatxPwPUfDkcLFaqUlL6D9fKrnhY4MVotT4MIROgLYffIiyiZIccyqnahMGKVZYj4HfpVcSvzSzaYXxOPNCypnJeEIHj9tbibCc0FUkMFYA92j+F7KtzUetYlZkkGY37v+8kV5hKr7viLL1+7FKuxadwqyCOyl5COxkma4Y7FzruvHSBrArfxsmUQSwXC45ifn3vWnwHW5p+LWbkY3m4J7O2LKe8kEGdAICS45m6VRakoJjvaoYUU51v+40+S+EynBn.HjxoMUDIohS668qPwNrhSysfREE2miGSJrAduQPDfw9azxnz7NAQKe3nAtM4bO5xAFsV+5LZaIqBzHcWyzZRMTMcdJo53B5Z501PWSoLoDMvV85qKWGG1YhP9OlxSWh57IgmbolrTc+JkwfVHDcZQX7qGiyBb4g1Pt+YQYCvgreEc3EPR1qg2C63.Xl0VStroGvdDNPje68Zn9BpfiYPEGJQAUjtHz8nkYjI7.WxRG3RUox00ekxVAaB03ON5I.oCMjO1t3V.9adgLn.jsjfpB7Z7JkKCEIGVHSF1iPL1iHerGQgXOhQi8HFK1iX7XOhhgLBnKZXlbV0x.E3AKNCJDyrYciuBD88+e.yLE6B. -
@Win-Conway said in How to make Mid-Side processing?:
Im running late getting home, is HISE incapable of simple routing ? I see zero reason at all for any encoding/decoding of any kind, its a simple case of stereo to mono, phase invert.
Yes you can route anything in Hise, just for the phase invert you'll need
channels[] * -1;
Have you done it in your DAW? -
@Jay I just looked at your snippet
the main issue I think is that you added a routing matrix at the end of your chain, where 11-12 are routed to 1-2... but your main container is listening 11-12. You don't need that routing matrix since you're already listening to the decoder moduleBetween the encode/decode modules, your FXs are in any order, which does not help. try to put together the MID modules (7-8) and then the SIDE ones (9-10)
Also, it looks like you have many redundant gain modules you might not need... 40 modules in total, 18 of them are just simple gain. It's a bit too much just for dealing with 2 signals only...I can't help pressing F5 in the forum...
-
@ustk yes, in my DAW it takes a couple of clicks, I will be home today and show a vid if that, there is no encoding decoding needed at all, and i will try to remember to jnstall HISE on this surface lol
-
@ustk That's not what it is because I exported the snippet you provided and it didn't work either, below is what you provided
HiseSnippet 1855.3oc6Z80TaaDDWBaEvNgNoYXl1NSePcl9mjR.aY.aXxjDCXCgI3fiEIocZYnWjOC2frNMRmfR6zo8iSerO1Gymh125zOB8aP6cmjrNITbsgPHjX8.i2cu8t8ta289sGWSGrAz0E6HIma6isgRxWSQ+XKx9qtO.YIsQMI4anzXiZ6puQs5pGgcN.YsmzJGaCbcgskjkyrNqcx4xJw+9m6uBvDXY.iXII8TLx.tIpKhDwsY0GhLMWCzFtMpqPqmu5FFXqUwlXOpMkQonjMv3.vdvGAXMaLEI4qTuMhfczI.BzURN6J31GquO9HK+1+TjK54lPFgljNsi7YuF1rMyhY+VZ08QlsaFN2ckjjUZFsRjwekXJkFn1nd7iVQtNWfZjFhqGxi0OySSz7Jlp4okh4IIXcY8sNpQfa6YBHwsL11Qf.D1JlksgEAZ4hHGKtccgZtuuRSDwX+zs2wRwdoaTm21avl+jJ06zAZPhL1rJq8Um1c5gvQbhSZK4TZg8HP5v6unwnnggpM.DGz2qE2nxbFMpTWeBFQ+ATR9idjWWcZ.pAjt7XYAMoCjh70jXpxoKxnYaW5Pq1bhwhDpwnkCDxIxDIrDi9eoeLg8HBDNmnv4RHbdQgymP3BhBWHgvxhBKmPXEQgURHbQQgKlP3RhBWJgPshhRinBEqESbOJog06nzkBuir8y6PYj2wov6HHuadEcCGjMIv83pJMzUqaYfaCi4X32HowxNlRGOKCVtXUaGnMvAtMtoI33a5B5ZaBaQ8ats5yMwFGni9A3sx+i4yk+mxKnC2.Vg0faZDr8Sa0j4UoegL9lh6n9kpEuSBtZhbYewEWZG0oinlaG06cuHxx6bGZaKTPcyoaodW0FpHK0JI5+x79e1JEqDS0JbU8+nc.W0xp.q1pUTmYt1q32KI5qEX80LZQZdxOZeMSqDpMer4vBwmCK1aNLCaNnyLjESzAKl9bXo3yAeU4ygkBlCh6RL.VVDGr4Ms759bnysUODX50a2j5NEOMwDCVZBr0FVHxV1v.jXwbfDYG4iDxUSpmME0PJPPJB.h.1tykjOhAVmH4ifvRgmi8RS9jIPXpIexFHL0jOJABSM4yUBDlZxmwCDlZxmIBDlZxmbABeUk7YU+sKZu9jMpAH.JXF4.dzcLanCAwbljqAOjVOP3gW0ftGPv1wvfMtuvqpnCHdNLLi7jWSnzPsFxkDCkXPSXfG8gI92O92+q6+LHY4tXOKhHV2lNPgpUTu029EUahcIB7pl+Om4Em4CISEWm7.hI9CThlQpW7H4OUgWgNGoFd0yyIsvqKhy1O8gWWTmsOduR0QrCkWOz2IGM.YS3gPy9VgdMHMcrXMUOC0lreDiutZJ0vmLnHyfETjRfP1At3PlgqdooX1anvWXuLYv7M9KOF70UZBFkSbTNw9kS7jXFzG.LCeWmN+wffY3WlZ1alDyvKVGb6QXFdGK93zee.uVgjOPXFzGgYXDlgQXFFkS7ctbh84NRqAeo2QZY4ym6HMeNwapb5X24m3c8oUjcYerapbZc06ptI6t9zzlLetIE5gkFr6mTWTmJwF0kRLpZgi5LrQsEeTKcVtUwwuXtUwQ2g3qs6PLe3pP5AmWMT74wcH9w9BughNwAB5R2d04Qm9kEPC48ozdU7XFrG3Gy.sbBSLnMKuPTydQ0U75zA5Dm6uUkOTIKIwtZfk2BZCAjFrrT8DNQ0VsV2A6YmRgLr+S6a6.L3ufCgIzVVPZPXr1tpC10sCc5v6KWwV2zyYO1ZUDmVTviNtw4QCfDCcXQCOwExB7QFgQYQslOJE2FvC9+LkRyOa7uC2h9mNSy94Rqxo8UQa3UozvqxbCuJyO7prvvqR4gWkJCkJISXmavRX2.XSwbAMEZ4JnfnOpLeNwemJBMsmuG2TE9e+nCIrjztBss+Xtjuxn2zy+WcWE6ecWhW.QtPazu.x5VzZFoYj6UGSGfmIIja7zpMvVX68wVHi3INnIB1aOninsm5DZYBgl2JhyTUaAMg.WgLeeZ0MQVPfS77gC0Zg1fuVzu8qOTw2bUYmEn91wawJyaQuEqW8KcuW.XBU5n6PdCee9ZJ7SBTYnUdCoXXkTwaO1YBusTXgKrH2feyATJmAZwNYgeQvl7K9Rvk1kBDiYRiQAS6WMWW5IVzl5SPAN1ByvJoH+4zVuI9gviCId.JfXQtjmx5Xeq9An.helM28AnEZzqgLCdZqOVo.Eijiag8bf6UnF1vqKE0qagca1Zq0asbiFa7n0KPWBAnGfbgkJrrWaDlotaAcOyC.6xvDataCfKA5L6QfCkp4YahLnab7pW4S.eOT5XezmLkjOq5VsYL59q2czsTbd8Rtj5egPxmrPnt.CG7tF9EuxeWnbNT2WKt2RNkFLZUMIdQ19gccoPX10vfkebFZfW5ZTZn0XtgVi4GZMVXn0n7PqQkgViE6iFL7hK6Qvc8OsjxnYc+LLx06kgIiz+AaLHA.C -
@Jay It is working as expected for me once exported...
I can't help pressing F5 in the forum...
-
@ustk said in How to make Mid-Side processing?:
@Jay It is working as expected for me once exported...
I experience this problems, you can try and see it on Hise too (no need to export).
-
When you insert a Parametric EQ after the MS Encode, and set it 9-10 (side); If the positive gain eq band is active, sides effected as expected. But if you cut or give negative gain to the band, sides are not effecting! That's weird.
-
In contrary, when you set the Parametric EQ to 7-8 (mid); If you cut or give the negative gain to the eq band, mids are effected as expected. But if you add a positive gain to the eq band, mids and sides are effected simultaneously. Mids and Sides should process independantly, shouldn't they?
It is not working properly as expected from a M/S process. I don't know maybe that occurs because of the 0.707 number or other thing.
HiseSnippet 1675.3oc6Z0saaaCEVJNpI1oAnanCq6Ndw.V5RcqkyONY8m3lXmrfEu5Zk0tgsfNFI5XhHS4JQmtrhBrK2CvdUFvtrOBCn.a2MzGg8FrQRIYQon5YmkzzzZek44SGxCIO7vuyArtqiIxyywUQM61G1AondQMiCIzVq0BhIJaVQQMmVsMqj2XyJUUV8vNPOOjkhpZlM33pYGWQ76uWYUnMjXhhDon7.GrIZKbaLMRZ8xeA11dcnEZabaoud9xaZ5PVyw1oKyVxnUPoCzbe3dnuDx+rwzTTuPUKL0w0fBoHOE0wW0w5PiVNOg3+8O.6g20FwanqXv5Hewq6XawsXtTk0ZgsspGNm8TTT0pGsBjweE3xZ0vV3dxiVItj..Dog75g5X8y7zkMuBCr4oHYci6acLivwpqMjF2x3aGA.XGRLKaSBEQ7vzCk2tNSM22SqNlZ1Jc6crTrW1F0os8Fr4OsV0lMQlzHicbs0+5i6Nc5NhERyQL6QskrZMb5RQrg2eQi2BS1CTCRcw+fdbiJSbiJyfYTorlDLJ9Chh5G8kcaavNTZhXKIDBxl04ZpWTgqpncAda9VjAhXIZLVDnNusZ.nnQlHvh71+C6GGrWi.v4jAmKA37xfym.bAYvER.tnL3hI.KICVJA3RxfKk.bYYvkS.pWPFMpUHrdL3dsTFVOhhuw5QLd+7HzF4QbL7HBhulSyvzE2gF3RLkVMCPUhoiEJlyf+GoL1jio0rKwjGyEzwE0A5h11otM7vY7fs6XiZv7UtFXWaGy8Mv+H5p4dZtr4dVNIcDFvp7OXFyfs+qNctmNcN.6WnjusvNfOET3lIjpKKk+KAdwc.yF0Ztc.24NQMWbmax91abCvVy1.baPM.l.JknCVTL.WuTgRwTsjPU+erNPn5h.HwBTBjeNqU86kD80B79JudjlG8Gqux2HgZyGaNrP74vR8lC44yACtgrThNXozmCKGeN3qpXNrbvbX5bOa5ncJNYJB00wdFR216hbuF3.nc2d6nLWp2bBOH65ejvCRfECuc4UFdHS.XpgGFO.L0vCZAfoFd3BAfoFdXh.vTCOLY.XpgGxF.dREdfuiiHTVu9UaVARgLZEpAxX6XcPtTLeqVsB5.Fy7vqTpf71m5zIFanI7AmRy.R65xYuIBuLoVMPErGMFesfOgSiymv1Ku+u8Wq7PD8tsc5RnxrNq6hjxa.b0u6SJW2wiJIqbt+L+yOwt5RUc.Yj9gZQyBvYOO5i0QpPGhTOR0yaIsiTmE23d7ORcVci6D8RPFyupbiPemrrCEagN.Y227iqfX2xJmQyCwVzVQB9lxojA8I2AgwG3Ty3FN3bSpjuulXg87jAK13O+XvWRqNbTLwQwDSMlX1PRDq008.T0G2yiwE1Fw1ndLn58iWnB1115XaJx0Kjo2pPw9i+0+25VEJyEnGJ3Wv+pPPw3EaTr1GWv7QBtT4y3reG428Z4t3ixO0X.3m98Ma9GCB+ze5xWelj7Se9FvqMhe56.mIN9UD50ZJeCD+TiQ7SGwOcD+zQwDemKlXepRdEzqrJ4el5oVUxyJWq5YiU0W4p8pWfWtWdspm0.bavV7p8pqyTWtGVdvpPsgrNkhMpKmXT0CG077QsgXTKNptxucUW4bgqBoefZpP3Si5Je4Pd6ODd.R7PSDGH+.Q6lNtsAafHHAgd89PW42GzmaRmA94lbOSJyD11ER7533gzk64DXEkwpfncIw+beQw9J9zac1zS56lrbnvhxBYWlEqyXsi0S03mEBa9xUpRfrSSFrXYDq64YxlrhjgjyooqsGRbmttrhQhKJKNIitg9wML5U1zGlFYFLy8+HQwrg1nOQ+pDF2d1ovd7MaB6ZSCkF+QATyg3zokCAaJ6S0fWpl81CEyuI0IzcoTn49QRtb4FHaDzS5n0GWdKLAAcqwuc83sVbBkz7Uz7MW.+rO3siWGUlyauNpSFW9o7G+I7ylJnVOh+G+ZBgH918VnlRWCbkx8.Zf2qEU1AdcDxZWlWhjFkmatWrRnbYED.a47j5rAbcWzi60O+7KJ+43iHUoR4Dgq2F0tiC6dOyXdamV0pTKUJSi8+hxzfGrjM0eyKsrSkkjQo9c57.oT5OSU0ixTsMzz04Ql9YnvChLoPBy6fHdGwY0pwaCzUDYs36A0lw23Qll7fY4Y9PoqQwgVi4FZMlen0XggViEGZMJMzZrTezfSt6tcoNs8iJvDTupHmBUUetrh.DJ+K9v19WAdevelop Branch / XCode 13.1
macOS Monterey / M1 Max -
-
@ustk said in How to make Mid-Side processing?:
@Jay It is working as expected for me once exported...
Can you post your snippet that's working so I can exported in my end to see if it works here, then I can double check my scripts.
Thanks in advance......
-
I am using the last one I posted 4 days ago for testing the export (because the current I have today is modified a bit)
-
@ustk i exported that one and is not working
-
@orange said in How to make Mid-Side processing?:
@ustk said in How to make Mid-Side processing?:
@Jay It is working as expected for me once exported...
I experience this problems, you can try and see it on Hise too (no need to export).
-
When you insert a Parametric EQ after the MS Encode, and set it 9-10 (side); If the positive gain eq band is active, sides effected as expected. But if you cut or give negative gain to the band, sides are not effecting! That's weird.
-
In contrary, when you set the Parametric EQ to 7-8 (mid); If you cut or give the negative gain to the eq band, mids are effected as expected. But if you add a positive gain to the eq band, mids and sides are effected simultaneously. Mids and Sides should process independantly, shouldn't they?
It is not working properly as expected from a M/S process. I don't know maybe that occurs because of the 0.707 number or other thing.
HiseSnippet 1675.3oc6Z0saaaCEVJNpI1oAnanCq6Ndw.V5RcqkyONY8m3lXmrfEu5Zk0tgsfNFI5XhHS4JQmtrhBrK2CvdUFvtrOBCn.a2MzGg8FrQRIYQon5YmkzzzZek44SGxCIO7vuyArtqiIxyywUQM61G1AondQMiCIzVq0BhIJaVQQMmVsMqj2XyJUUV8vNPOOjkhpZlM33pYGWQ76uWYUnMjXhhDon7.GrIZKbaLMRZ8xeA11dcnEZabaoud9xaZ5PVyw1oKyVxnUPoCzbe3dnuDx+rwzTTuPUKL0w0fBoHOE0wW0w5PiVNOg3+8O.6g20FwanqXv5Hewq6XawsXtTk0ZgsspGNm8TTT0pGsBjweE3xZ0vV3dxiVItj..Dog75g5X8y7zkMuBCr4oHYci6acLivwpqMjF2x3aGA.XGRLKaSBEQ7vzCk2tNSM22SqNlZ1Jc6crTrW1F0os8Fr4OsV0lMQlzHicbs0+5i6Nc5NhERyQL6QskrZMb5RQrg2eQi2BS1CTCRcw+fdbiJSbiJyfYTorlDLJ9Chh5G8kcaavNTZhXKIDBxl04ZpWTgqpncAda9VjAhXIZLVDnNusZ.nnQlHvh71+C6GGrWi.v4jAmKA37xfym.bAYvER.tnL3hI.KICVJA3RxfKk.bYYvkS.pWPFMpUHrdL3dsTFVOhhuw5QLd+7HzF4QbL7HBhulSyvzE2gF3RLkVMCPUhoiEJlyf+GoL1jio0rKwjGyEzwE0A5h11otM7vY7fs6XiZv7UtFXWaGy8Mv+H5p4dZtr4dVNIcDFvp7OXFyfs+qNctmNcN.6WnjusvNfOET3lIjpKKk+KAdwc.yF0Ztc.24NQMWbmax91abCvVy1.baPM.l.JknCVTL.WuTgRwTsjPU+erNPn5h.HwBTBjeNqU86kD80B79JudjlG8Gqux2HgZyGaNrP74vR8lC44yACtgrThNXozmCKGeN3qpXNrbvbX5bOa5ncJNYJB00wdFR216hbuF3.nc2d6nLWp2bBOH65ejvCRfECuc4UFdHS.XpgGFO.L0vCZAfoFd3BAfoFdXh.vTCOLY.XpgGxF.dREdfuiiHTVu9UaVARgLZEpAxX6XcPtTLeqVsB5.Fy7vqTpf71m5zIFanI7AmRy.R65xYuIBuLoVMPErGMFesfOgSiymv1Ku+u8Wq7PD8tsc5RnxrNq6hjxa.b0u6SJW2wiJIqbt+L+yOwt5RUc.Yj9gZQyBvYOO5i0QpPGhTOR0yaIsiTmE23d7ORcVci6D8RPFyupbiPemrrCEagN.Y227iqfX2xJmQyCwVzVQB9lxojA8I2AgwG3Ty3FN3bSpjuulXg87jAK13O+XvWRqNbTLwQwDSMlX1PRDq008.T0G2yiwE1Fw1ndLn58iWnB1115XaJx0Kjo2pPw9i+0+25VEJyEnGJ3Wv+pPPw3EaTr1GWv7QBtT4y3reG428Z4t3ixO0X.3m98Ma9GCB+ze5xWelj7Se9FvqMhe56.mIN9UD50ZJeCD+TiQ7SGwOcD+zQwDemKlXepRdEzqrJ4el5oVUxyJWq5YiU0W4p8pWfWtWdspm0.bavV7p8pqyTWtGVdvpPsgrNkhMpKmXT0CG077QsgXTKNptxucUW4bgqBoefZpP3Si5Je4Pd6ODd.R7PSDGH+.Q6lNtsAafHHAgd89PW42GzmaRmA94lbOSJyD11ER7533gzk64DXEkwpfncIw+beQw9J9zac1zS56lrbnvhxBYWlEqyXsi0S03mEBa9xUpRfrSSFrXYDq64YxlrhjgjyooqsGRbmttrhQhKJKNIitg9wML5U1zGlFYFLy8+HQwrg1nOQ+pDF2d1ovd7MaB6ZSCkF+QATyg3zokCAaJ6S0fWpl81CEyuI0IzcoTn49QRtb4FHaDzS5n0GWdKLAAcqwuc83sVbBkz7Uz7MW.+rO3siWGUlyauNpSFW9o7G+I7ylJnVOh+G+ZBgH918VnlRWCbkx8.Zf2qEU1AdcDxZWlWhjFkmatWrRnbYED.a47j5rAbcWzi60O+7KJ+43iHUoR4Dgq2F0tiC6dOyXdamV0pTKUJSi8+hxzfGrjM0eyKsrSkkjQo9c57.oT5OSU0ixTsMzz04Ql9YnvChLoPBy6fHdGwY0pwaCzUDYs36A0lw23Qll7fY4Y9PoqQwgVi4FZMlen0XggViEGZMJMzZrTezfSt6tcoNs8iJvDTupHmBUUetrh.DJ+K9v19WA@ustk did you try that, see the issue?
-
