Pan and width Issue
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@Alexandar-mller The simple gain pan is working for me in your snippet. The stereo FX pan works when a modulator (like an LFO) is attached but moving the knob manually has no effect.
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@David-Healey Alright, that's wierd. Here's a snippet of the project. Is it still working for you?
HiseSnippet 15256.3oc6808ibjjbe8Pxl618tK2cu6r7I.KgRCLNO7tgjcVU0esq18FNCI2Y7tCmwblaGcX0Jd0zcMbpic20fpqlK4ch1mrkksvIHb9KYKHX66OA4G0SZArexOI.CXCC3GzeB2i9M6LqO5Jqpyrprpt5p+JHvtjclYjYFQlwuLhLiJyisL6nObnoUoMpd5qtRuzFuc4Sd0.6K26RMiAkN3Ak13cKe+SO7nSjN8gmb5SqoVZ2Wck1vg5cKswFW+SHEZiJ2njye9Ue+c05oMnidPRkJ84lFcz+Li9F1Aod7NepQudORqq9oF8oJs5NGzwbvdl8LGg6PWubsRWo044ZOS+wZjhcsxk1Wa3kk136VVtiZc4KZo2rVqyUtPWsdc8KzQ5pMZiN+hKz0p0VSqVmZsJswMeXWCaSqSr0r0GVZiarqY2Wcxkle0.2F3yMFZbdOcxOPkNA2xtI+HydcIrHI0R6coQutG6KoFVpzFkONPtccW412p7gFcMFmdf768bxPJfBZA3FWKb265g5dH5tWMptGitzFTcoa31kd+xmzwx3J6fbH8m2p7ACr0stPCONQ2UbKaoq+W7265k2yDWjA12su1y0ejE9GiIYKYT85aK0po7s+vpUu28jHMUWIKyQ1FCdlTeMaKiWJMzotjrvCJV53IDePU735PaoWnYIQparrQ2R5ijblpc2moa+DW5Ozg7s1LzLtMcaoSzskd7n9miIz7BIr7cv.8dCqV8BSKosL9HzGJYH8aKI2D+2euu2sq9SqVYbKcWstcw+XfdGaCyAag1Fc6OTB22QR1l3+WG25xmI3Sn71Dtla1JaqDW1paqFW102tdbY2X6FwkcysaFW1s1tUbY2d61wkMp11nZwV.rHEEaAj2FEqrCorMJVoGRcaTrxOT8sQwJAQM1FEqLD0baTrRQTqsQwJGQs2FEqjTt11xwJIkQaKGqjTFOILVIorx1xwJIkU2VNVIob8skiURJ2XaYGIY0J26d3zGZ1S+tWYYLvdKCGMqNWp244RDMyNlVVXpFqiMvQCdX0WSToOVW64RGpaSRfBg3yzegdOmjOX.BiR3iFgwI1yr+UlCv+XqMCUJBFAqJ3nQ1hTCjhwqJNYz4hTEjhwqJN07JQpBRw3UE6Z2WjpfTLt8BDRf9.hO8xBwDx7q.EQ5.Jbo+LQZ+y3R99WJB83Rwcxz9BMWZetUviN5SEoFHEyYQO1pDBoQDiBgX5CwnNHl1PLJChoKDipfXZB7UDDoCDidfPpA70BDgbEtJAhnCvUEXeQz.1muBfPy+iY5uXy98r36Psg3eKQbxHz5CtoSRtli1vXqHeH1z+N3JihvZRt5BUCQzcGpaeearslmOxVeqvYclQW6K2VhrJsvz342y1R2AEVuMnXHWMu35qHIO8tpgIiWK6jGytahTMtCys+J6pnGW+UVxSMuZXx30xN4wr+lHUBHfUbAVhqCqH4AqTMLY7ZZm7X1gSjpjEvpt3Xw0eUk7PwpFlLdsrSdL6uIRk.B35N3lw0eqK4hZVMDQ7ZWRVL6rIPSxh1FNPzw0SaH4BPWMDQ7ZURVL6oIPi.B0lNKGDWWsoj6hAUCQDulkjEytZBzjrPs0YIzQaIcVj9Yqy30j3bX1KikBADms2+xD5ksk1+xHcSLQ7ZURVL6nIPSxhSTMmUSic8fZRtKlVMLYbQ1I440aQ0hrhPRzMtGWiaOF4t.drcYjj+52QHjai6jIudcxTJP+V9AFN9flPWWVxsbgMegpdTDqdTRpdTEqdTSpdpKV8TOo5ogX0SCp5Aac1Cz6n8JomnYqSUqO3g6c+e3Sex8O8g3Zq1caq3Tz8FYYgsxS5y05MReXURA6LxxwjOGC3pc2ZeXnTcsUZhjcMIYhjcW3ehjcWecxRiXlpLyTUXk5YrRzA3YRFYeVo5pG4jLV5P1CbKo8z506bsNOmRXRjAObvyLFne2NV5XAsSIO57eLYnAOH3XhmSZ9Du0EiF3tEMjM.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.E+XZKu3y7t3mzTlBlmPbRi5X7zhiwIP6eLssk7Yb2UAnoLELNg3jX7SQE3.Nhd7FEyvMJznMJMC1njYY4BjkkoYY4XXY4PrrbZXY4jYYkBjkUnYYkXXYkPrrRZXYkDY4yJNN9LJF9L976Yzr6YofaOKQlc+KKNtEah1GS4pJe90wVNJxRAGiIMIV9n8KNVFakIk4I6Gi0I6Gx3j8SisI6mHKiMNs33YhcxeL81LvmqcMollxTv2DhSvlT2cHx3b8djS76E5VCMLGHMCLMmHLBLw1a+Rvdj505CejoimpORqiso0VT1p+gAj5Zfpnz56hIkIdhRpiql9j5Zfjnj56vIkIFhRpiimiaUTZZTDEgxogPYJBURCgJADdVJn6r.xbvvDkNOGTCPBDdVv9AD5pLIJki8W0MnFGuyH4rpgGPQn3jhrigNs2VLzBFGJTQJUn46iC1oHEJzL6wgyTjBEZN73.VJRgBMa0OnjhVQnnEQdhhHGsHJSTDkHE4rnk3rHEX+KiVB54O9w+ST429QJBI.ehTFp8vfd.SnwKQFtDYzRjAKAFqRdnJ4QpDGnRZbZ+jGlDXTh2fzqIGABVtaqY4tA7ao3b7SNdkNx11bvPu8w+b6A03FzKjLCNUF7uPwUTTnhJGWQkCUTk3JpRnhpFWQUCUz62+7X4LR9QI.k.AnnDHm.AQhxJbhGaX24xi5Xq8B83nkpXrqhSz6ajXEPJDax2ibdWIQNoPSRtkNdVWrz5TBVD9hDH6ESPzi0eYrsEIeuC76gCzNum98dg6mjfzDyyUtxxwfFx+jTQ2uWuiwonaYanObqPyxBJoJyR5UTcmVrqWcRH5Kj+xOLblHu5IRt98RJRQQyLDojbwLoSmGKc2xq52VZyKzvlB6ICvS4LHePCSFTZjD7TIl3TT8yKrz2KUTLTfXRgbLTHyjBkXnPgIEpwPgJSJpGCE08De60ybHGY2d8FxU1Qxax1DmJJFJPLoPNFJjYRgRLTnvjB0XnPkIE0igh5LonQLTzvSZ6fwH4gEdnY2Q8zCI1ov.CI5cJpFwh0MoKR39AUNnjIFwkX4jIVlKwJISrBWhUSlXUtDWOYhqyk3FISbCtD2LYhaxk3VISbKtD2NYhayeRh.SwPwLGSjIYnPS7IKNiWgh+TeRAhsW4T.FcIR5njHDwgP4jHTlCgJIQnBGBUShPUNDVOIBqygvFIQXCND1LIBaxgvVIQXKND1NIBayaBPhScPbm6j7jmvSkcrlj2zXRlw1WbJ.itBIcTRDh3PnbRDJygPkjHTgCgpIQnJGBqmDg04PXijHrAGBalDgM4PXqjHrEGBamDgs4MAHwoNHtycRdxi+z3Sz5eUOxm4WP03kTn5v4yZ14Wasoe9gabuTkSfJYlToj.UJLoRMApTYRU8DnpNSpZj.UMXRUqDnpESpZm.UsYRU34KrFvpwltDGnYORiRZnFwdrFkzfMRIzby9ZWMT59VVZuhptF5j0gjr9H+JlTcm3m9mYLzITLI91X1+byyMeIE4c5e93Rx0Ia5BElSnyAID8H9UfpPUfJ+JntPUPc9UPCgpfF7qflBUAM4WAsDpBZwuBZKTEzNlgwZhMNVKlpPvoBdeBoTI4ruFaZXq2e3laSM29t+XSiAas4u6fMuMoUoqjzShZ5Iod5IoQ5IoY5IoU5IocFDx0x.MBNxTspwfdFXef7CLbIyAz0CYdjkYus53OIZa77sdizct+L7AJuq1Pu+4V29t8L05Nl7sBZ2uvgt6f9Rbq9ZbCKBXGgG75Aiifcl8OA3DjHrh5LhUPhvKHwYFUQXl5yHlQUDlQkhYhmWpKBuzXFwK0EgWpKLuzPDdo0LhWZHBuzPXdooH7R6YDuzTDdoov7RKgvwpMiXlVhvLsDlYZKDyLqPkaKByzVXlAUSHtQdVALWSHj4ZhyOBsNCRYVwOhsRC8RMj3jdfTs6nJI8cj104TSw+RV5yLMuJ7GLoyQ03d7VbbchTFI+BsIIVDX7mpTmfaud3p5KHGsl6ut6UiFd4VwcZ33trPEEIdQkEunJhWTUwKp6Y+khRiRUok8L0y8lPi7kE5dWn4QeO8AOy9xfqEM2j+Biuj8DI2rCl.8ZlVqDpTr0EHQlnGyS51twQwsk9nORBI86+66GQ.rxpZkJdbVzbuMNKbUWoB8rUBe3eS1sUvw0VoxqqVwILFSjFaqQAj30uqwssISoBhLDmaqKmDohZkZXcCuTUYlJ2CYlhH9Y6Rs2wXyiZlY6IRjn3knck.gAqdR3bi1QXQKqbe83CC9PiNCkN4qH6XX0JCc96IE+eOmfiYhTjCmx39TzxoRkh+nXGMbii9.7+xa7l4bMWgTTmncKUCW9LTljq4rmo20Iiz49T8uzs5vCPtiPdcKkz1sZkqcqlb5Vposa4dABla8q1d8qysz0d93dnyfpL0f5jHOemuizXc3TxBp4JGnvQxFsKWizkiN82gUHTWwMyTyK0yUdQMM7hS2lIC4xKodFeybkWZjm7RpUSZmq7RKN7hLmtacw5tTg3IBMYGFwpGK3Vufpg6xUBzrqDR0VIIUaFCEjJvOuTqlfx0giZg.sbYsJU7VNbrs2NqHdrYuWIIisXWwawQR4nVdLpUUeOV1SMdIwHlRc6J7VDjkwZrkQTl03dytFN65gDSSraudDpjDgoaqtPHOAb51UIjr+btwMGOKJCp4jJg6t5xxDSJW3SpDxIVBEtkHpNOKisclHT4mJEcPnE0XDiUJZwcv0kq8njgAR37Yo9H3NyfT+xnxGwnqd7CvSJWajnfuVxy.R83KqJIUCvBhu0lZPhg4hs4O7Ri7yXoJDSneQ2qJTyuLJuKFcsl4CuIq8xZrK0pug7iiw5exI.U6sLWLp5yZXtEC8.DOy94tuBUFqnLOgHDXRj.xF5h75JSJcXMsIVgSBxlBZ8wYkFVkJ7MxLkJYNywFmc5mkUTpf4+7r.YYkwS63XUKhsEsypM7IjUvSiMygLZVNtcNJXFxjFSKUIIWpjajutTIWO7xppINP2JIsp1BCFKmlknXJYZPIYX3oeCVRFAOBV4FwJYljuaknnisjgFiQPoiflx0jR5vvTtlrjNBdntxMiXVUZEOINuwW9wP7Tg4deFmhURpUJx4qZkBJdwS9oWUoBu4OJ4o1khR9pcoHOkyeRu5UEwkOoW+RQMe0uTTJP8Kg1C+oR8pUNqd0r.UuXN4QMWUtZmyJWsJbkKwEOoW2RsVNqa0d5VYWXUKV19llcqVNlCnhodXxlOVKm2Q91EshXBG7hfhtLXdIJmMurVApiliRtLX5obNa5IZNuzXZboKrS+nLnwNKb3qRQ6G0TAQj5Y5UlB+LEeWZJb42xhqcIOdQ6aGSm6xtJl7hpJ1bbDKGVEd7HFSELjvqkDZrJKFvnjyiUxEmALrVKIiRNTFvkTyYbIk4sSFYT1IJBAsBa8bVgUcNt6YRoc2ylZaXlc6t1BxtUMCrgYJ1LuDmtKM+1sukksOKU1vDcMwJSmFlviXEtJ1bbDKOsgIcKmnj+FwzNmMhoUQYDS0JUpvcC0yn.jwBJIZLiRsb1Xl1E+wQTIJhQFkeYvdFETNq7VqvsmYRwmZgZRyL6DMVPNif70jlTeJA4+9xL6DfE4wVTz6KizTbrfS8FyTLJYywgr70nFNFhJ7mexTaWiR8bd7Rc9GEEYT5kgMnQoQNCPUetGhEYT3kEKZZlyZtMJJKZh6PhUy5gDGSzol5CAsPN93B8TWKHydl5ScMg3UOUGHagbT1KKm.bF1cmJS+.YszNPJsXnONGGImA65inCjnBKnblcelrybylRCDGpnBUGTNeRWnh6jtJ.4Y5CfGTNaaEpvrshC1cZwny0sjX0L1dVZhzgo5fcR4wNOKCKrYVbPrfD9.459ONcQOvrLXwlYR0kkHYHcaJYNMPNChgrBQebNNPlqVhO0QjxLbQ4UnfUYo4n6S+hxY9nmy9ZxRyui0eA4TvKfP0NCCjyfiJblIWWVNO9TnPVLpixKRQYSQNJVHqHOse.nyz0imEGB75bbBjqKGOkG62rLBclYGF8Bx42liqFOcG7c1U9klemI9xx4Hu3oKJunpKNGGFy40hYc8tUOuiEf3AXS8Gr+pWXBrTcNnhiSLaNio3icLooYk7Y24itfb.h4dPmToxrc7c5QKJDo8xx4YlRc2JyMkW4EUk243nad6F9b33Fmp05WcNHxklSZY5Vqu.1q7DmPIUox5wFoufrguyq4TpEybp0oMCpH83s.2DQVt71HCunGYMLMmky9VgbfoHM5Z9M6i3.0q+vpbdACqdu6cvftFuvn6HsdReB4YO7jdFc0sFR+jI97Amev.tuF2N4F9c7FmzQiriiBb1SPxIiNONRvYOAImZdUbjfydBR10tebjfydxVAEaiflj.4XIPdRBThk.kIH3r3J+YST782Otxu+9SN7EKAGMIAO5nOMNJvYuo6qz4gZCs0sbmq8oCLOup+Ls9NYPRuSug9OmlUBkp6aD43mryGdwE5crIOWmiqxZRG39hfmVBQRNSIy.kxRNyLy.kJRNSPy.kpRNySy.k0kNEkIBaHcpblHrozoJYhvVRmkI5ZKs+kYaNPMIxL6rPIRxYFNgzIlN20vBWduYzUBMm1MKApeYoG3Tzn8Ngq.kosBTm1Jn9zVAMnq.eTCL1haY9bydi5qGGFDc4b.ihjF62I1wEhzGh88SlUIY+jw57B19RILBXn4YXGJI1d8RRG4911VFmOxVeqWdWR19jSLCHnUpcvfvENbVTD59fO3rVM8q8P3pCgw.4UeN4QWgXJ+ddqzyuFkwXi7pQm7XUijz4ViJXLSd0nSdrpQR5bqQULVJuZzIOV0HIct0X8SQ7pPRVL6gH9UWiSk4UcjrXVcx7qtlmpvq5HYwr5T3WcsNiWsgygUkcF+5p89WxqxHYwp11e+XlOW6n84NeljGy4ywUgHLLO2ZzISVUII8v04qcdHzod2XnrGxEXanAwT+Ow8sb12bHBvQn295FAu20gHfCbpWtahQCLts6idcHq376NIClFtj9vogSkKfZ3hkDnJyRmDvZHogf.q9CJtuXywLhrWfApSLhzj0HxdbMhvKWtiHN8kjGNnJl+XAURbGHnJSRiBSVTwGB1S3017GBN148RZ2Q1131+nN1ZuPOhfwsDwHRbJfivXrkBNIcrkiSi9+jP3860ijptksg9vsBHAqYe0PiehNUwIkiDH7eHmWKdmB41gS7Ui26WNBlwcGxSIte6tsj6aNpqTgMmFtM271bes6mrmc6IE0mn22HNNijetvWhxVjFLIlhpSwfk1CWewwRj7yCVp1cqILWQZyj3Jp9EMWQiHcUvPJMdDMbDRN.Ohp3QPiNzr6ndZ1lVasI8joI.ktxWbKbyQJbBMlyPL6lhHCDtoHENglxQtS0TLQ5bKYbyHndN2nDWS7lqMl6X9vqMtCQaZfjTU1uXwbZG+ygxYOacjP8IPuTiz2N38vrhiYtGPlXNzv9UaE3Qg2VEF4nPX1+iqEIkM3XVyTyEQfDrszjpbbIpwqlGWBThkPNwRnjXITSrD0SrDMRrDMSrDsRrDsSVhIfPkqT0cWmcdLDiE.LXcYt1jPq94A7YoiKrztVle0PcKouiOx92S5wZ8CYWvE8rcKreY4YePzBRYm.dlns9KIvNj4jNEhsMBbVSwgh3MQJRie2gWZ9U9TLVl5sxyCG7Lbi3z8GYYgqoe.lBWxIbuqJxlaRT63uliSwck4asIg61baoMOQuGYeoHCvd4iaUhBYpqJLAI1McVZrRBqMRU4rWXjV3NdxwKLLGM7dOlLn4OUwYBxPNCQjRJ7J9dLF47cHzEvVaQBFFBWkVYkHhpWye10KxRW2WJUbceO4L2gRpAALAdrVbC7ufZXOvKsCM5f+uW5MhSiEfoxoH3RPJ.OjfvEK74ZbniuKjl4ijFaSwdWZzqqyuHaOIdoOmRr4s44Q.Usm3HW3hGYcvZd1eNtWwI1rdsuVbLEN3PESvb0PxFtCOSxiNiRwb5h26depQmmKcv.NFgcP76fZF2Bzn63anMkI1UsHGqD2krNXPHHIGN6nQ1bXMbNBxaoZ+XmFty4ru3xdAcXW96jQmyg0v4HHqkpMFdZXMmCmiKqEzg8XsAZV5jikiCChyQPFLU6S8zvfNmgHWFLnCSyf6ZhQK6ygG20tuf7Xp147ogGcNsSt7XPG1kGO0rOh23GRPVKEag+TM3gharCEksj4wVxBxVo3nDlJ1RNN1RNJaovisTDjsRwQZLUrkRbrkRH15rQVC4sBvYBxVBezJSCScVL7zYgXo8MtTiGKs+9BxSo3HdlFthDSKbYqwcVW95nWnacotV2g7VvVTdKUm2zTsdcbb2Qg4tGczmxguv4HJikty8ZZXMm3nfKuEzk8VNyrmYf2dgL9mjUs3L62o.gM32KUTRjgXRlbRjIyjLkjHSgIYpIQlJSxpmDY0YRVijHqQ3sPYHYfwama89o6dylzvgqyfBVdTJKubJKuRJKuZJKe8TV9Ftw9RzsB2uB5oO3Y1WFrs3do+EFeIWO2H4GnQgccjsSrTEiEVgTn8D2YjbhcC2Y7hYpxLSUgYppLSsNyTaPC6Psu509.u8SN6dQFJJZFGaM7g7pLUd0ENDaRYykdOsBG+Mor4RueOgCNmT1bo2EjvQtSxMWkrFZOSFWOoswRq05mJmcAYZMg9Tkr2Voyt1yxdCkViMCELQoUsN0F+czzzZYvhrvggjXSFoOXGpSkL3fIm.rm9.BKH.Vo6fJXL1IawYML6jsnfHs2AUqV1.McoLC3erHTHrLF8UgvkXPm.XLLnRH.CFzInxOKJEUQdLsQ+hEmvvJ1Zfy5ElmbB5rds4IaQgPYXMHHFbACJETsmAkflzBoljbxZRyTa.clTWflANoRzL0Rvkac14xRtqW5eJIq+M6be.lct5ZP3xpBgZxJDyT2bAcBvIoEKMh5IqQLi2LFPm.zIxoUWxEMhFBnQT.aXHnQ.ZDEt8VStC0xIrC0rONRrZiLru0KN6a8R8FQB51yWKGcz+YsRYsji.A.Hnf.Bf8QMO2GUXuIyQ3iTgdn.nGyAzihbWfA+CVp2Y0zoNqBpyEi5bk44lXCpzKwaLbJMuuNnQOGVftv2CdPkdocesSoBcCPgddnPmgiP.ToWO27tJb0nQYcG3f8MF1RrUpCkesdqzPYcqzVGfAfHbD1SrEfOjjzrkXqCpkPbVBas0BkdY80V8xJE9VMUAzMWy2ipToZ1.TMKvMMBTNWu2sIQ9XNSiSlv9vLk6CSkhze1JPfmml82d4M5Mkyp2of9btpOO6cDFToKf3vbQUgtNnPWvJzfCzq6W6CyTE5FfBcQqPCtcC2jK4R7ZnjUatKTm9.KRm6y0WZ1UqJS2FMk6afrRVMBtP0vfqTCPEKipXoXErJy5qTrzXSZwpeU7QWKngAZXobKfR7FJKMqeUzFsA6xAngkUMLg8cqxLYeUTy5ZXEtNFrLFnjUzJY4vhX0ypBVwunBnhApXEsJV51DxIuS1TxzcxF2OOLE3C9Dto1xm.TDN3o77Sta85xpOMPXJ.DF.gsz+0BBe.dKPPJp.jB.orJ7kNBe7fyiK5Nw9lBAPE.TIe.UJ9cJC91pVPrToA.p.fJyFPkheyvATkbwJmLd87CanBbo8uNscoKaWh4qv6BiLrKL.NzJINzp4ku9Jv89TZ.hfctA.hfuD4UWrnEws6QF1tG.IB9DpArn49lDo.Nms37XNsR+seCAXrxxlCSJfCSqofCqE9Sr5GUdEN1.3ByZ.1v5gE9PL6lYrAUvtg0oWH14v0E.3ZwL3aWrvrcPErc.rcnvtfEAzg7HX2pj+uy.B7rSCfCq7OF0..wpH.QZtZslh271zDVqvKgKbXlKTwY5x6kd1p06zYlCPU.QAPTVzhXzkWPkUomXzLGpo.jB.orn6i1pOnx78.WQ4aLiBPJ.jB7N3rLipjxmjlzseJJf2OKFeoofuAPfbNircPAbGYAYW9.q0WITyKpGLxbPKG7PXkMLG.E8UifqLcp4pvh4qag6HnmuRGkjn7MJIA87k1WnIPSegUSOedWnQ4aLOtVnpudDEhfx9hixddD8hx46tsCmvUtdBWvF6O2PRlKAeckEpcoWNe2kd.aXYBa.1+fEc3g47t6Kmu6tOfNrDiN.NhrJgOjGGJfb9dn..5PthN.G+..OTHGkPd.O.FOrxCO.1Or5.PjOm.gb9dBD..wx8E4NfPr5fPjGGagR95dwJ8UZbgqrBJNIo3r77gBjKGjfR9Zs+ps1JrRGnvVPeYOob405KEJrfsofF6par6yRaUMe0VW4sOETXAE1BIZ8Hjctkt1y80b6ng0bU+fpNK7l3cLpP2vF3JpBmaWPU31GsHtZhgatDX+SW5eBsxi3.nXtV1SKpnJfJBnh.pHbrynoxNtUNbw5.tHfKB3hvosOUHiUV3eB.SKtXC.WDvEAbQ39+bw.Ybl87GJzsyE3GMfKthcqmUzdYBWJny.y2T.2ZAXpB+JdY0NNVfq0zOUrniJe.p.+LAfpUCfp4faXvMyZtiToBlTAHUvEg6ZqUUY8zPKbe+TASp.fJ3l7cc1pphHxMxAjp5.REfTsRdQDOGfpVqPpl9OJnZo344DNzu4NNEDm.qSQaeNZm3Z4MSb9.tA6qE.tAfaK1Qh5p7Mq7LEbC7vD.2.vsE8cba08hgNG.2hrQ+U.S2.zM36cDrdKutUJqLmMdCNHS.dCf2VxNwzkW7sB15M3vOAzM3ixdI+4dcYBfaVcloJP3xtD.ushcHey2H5.t.Hm8WJ54CXCXKE.1rBD4o.fSd9kYOsvMfqaqwvMfiM.fyrxUJU.tYYHL4W8OXJ.xYoMP44.3fJp3ces3aHA1r3ko3XZtBduf+xlrPE25nhJt0APJ.jZQFjp3s3aYBlZ9F+4nhJ9yAPJ.jZgFjBdm3lMvT4v1Yixk3rDrjB.of.6dEGlJM6rz7zVJUvVJ.lBBPa.nJk.Uo84HaZwopC3T.NEDp0.RUZQpRg+hURGPkB32GbtTfSQoPCdMKXqQEUvVCvFK6vFvR+qH.GyN+hT.+hf6pL.5XkE5HMNpjJfCU.3.NPE.6XUF6HMaMBOvC4hZSNfMpDtnog8SIOvmlOWC24xdiHWT6MBf1.nMf8PKy3M4wVpHWTaoB.2.Wz7.fyRMfSNrQLxE0Fw.vMPLzBHNK6HNo5tGjEdiRQg2.a1.nMtpqMtfuqumaoq87wHAczvHA0+fpNaqaFewXk4hHH.tBFmnNbA4T.2GWPPLC1yB6V2zrwPEykoZ9fwVGvXALV.iEvXmydnrH9pTlOHrM.DV.gEPXAD14+Vxr381XlVHVUvHV.hEfXgC9Zgcq1W.efNyGPVvNV.jE.YAP1ECSYKh2IzJyTT15.JKfxBnrvE2ypHNadba3jFXVEXGC.XV39CY0yc5U0qxm4BpGXbIf5AndKE1cAOeqoFyCbnFv7VYw7VO71bs+MjEMMWCJ.lGf4AWVUKG3dqmuis0x+2wVXK8lqfdvgJ.uktKrP4Kw2aUyRjRv7P.oDPJgMbbI6N2ZlhTBNRCHk.RIrMkKtXkypsbTF1xQ.oDPJgM2bkBsbpupypk+WS8.XYQCVBatF.krpeOsMsu3wyfyYA9bJ.au.v4hEbdo8t2bV9FnVXmWBf3AHd.hGbgCKLnWNbvGn46Ae.Pd.j2Z+yrB.5kBPuo+DLPy2Sv.f7.HO3LE.TuTg5MswLMZ9dPDvWxE7by.HBqSO22Ezi1cZ.g.aRfmqC.tCdbsR5PaceypnexpZLGexp3djoMf38.9dbAu0gUFgUFmyONKIefu.bM.WCv0.b85wYnu.c+XqHxqJM.XC.1.fM.Xu9tSPo4l1dd+zbA30.dMfWCQuvZNj8L5aSbF7xH..1.fMD5E.b1R6k1ak48EQIffNW+juAyAg8aE.qmOAiwb8CSOE3tfew.PH.DBQP2hVDzMYvr0bgKX1BUKQfZaBl3VDl3BKeAKeAKesFr7kmM0ut5qqdwnAcrMLGHYN3wl15GMXqaWEizhyQJZVWbAy71ybfskYud5VLy9Ti9bxwivsFLp+45Vd7z3BVZia7vtF1lVmXqYqOrzFk20r6qN4RyuZPoMtdYToO2Xnw48zc+AYQCx+pVoN3ZUefMUAMGbv.C6itR262k16RidcO1xri9vglVCKgSwknRk13S75U3hZ+pqv09sJeRGKiqr2cjss4fRFcKsw6UFuL0d8LGpenQmCMdYImddoMpbiRN+4W88KEsVdOuZYOy9matq4K8pmN8O+Ds9W0S+PsqPnn0ixNYpdpEsdpIX87tgpm1QqF4LUMshVM2MSUSywUyMe+Rd+ICUSifp4VSQ0TOJS8cyDSoFsZ1Rvp4Vgpl.dZiofmBl9cy2hW0vPY3lDkgZBnBviVzTPqr.rNOZUBnsTZoUMazVgP686edFEW9jilNxkSA4mzynqtkC4ue4HKqDsZ9q9XQpluIoZv8BC8AczmlJ58HUjCJ7zTKUI0xwF1ctLJ8hMj5rVfC8G0wV6E5Yan4ViqkSz6ajsdRPcrGYorLUGNSQN1R+ESA4OV+koo0oFKtU4OS+E58NTGOE6fAQqie3WKRc7Fkcb1Kacf2kpCf8eKa8f2rrq2eSeW.6P2TzEXPc56BXG7lht.CpESqjtKf83aJ5BLnVrt.8jwSQSwjwIINCc.4ooCHmCc.kooCnjsNv6P0ANKas+MIs+YSO+u+9SA+OIwouCbzzzANZ+oWMD664TnFxf5X5BTKoTsr+1SlskjFSOZJoWdJoWYJoWcJou9TReioewjCFjQbz2K75x4PsfWbLGpE75a4PsfWhJi0RnUpQ4QkHmGUhRFqDZ7tyxgNx9WlCUxQ6mCCwX3OV0xO3fGnYqUpzFa3sATGaYdktksAY+t13A5uvni9oN0ekxOPe3ysw1Sswmh8g+JyADa723Mca82wq0Onu1yz8.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.YgSAaKfffTPUUwjBNkstHh.mR1PD9mTx5HgXdOk95xBv+9kUQ.QfeYaIlTvu3sEQP3U3F0DQV3V3RYbAlZ7VfYmqfEXfEXfEXfEXfEXfEXRwBLQOsdNqufWNAVeAVeAVeAVeAVeAVeIqquzh25K+r+Qv5Kv5Kv5Kv5Kv5Kv5KYd8klTqu729KnVeQ5qhr9xO6ymX8kG.qu.qu.qu.qu.qu.quv6C+HX8ke0eJr9Br9Br9Br9Br9Br9R9r9Rctmu+OF1eLX8EX8EX8EX8EX8kLu9hJ2y2WEVeAVeAVeAVeAVeAVeIEquD4NDg53W9mGd6wf0Nf0Nf0Nf0Nf0NV4W6HhmDFLNIjr49B82WozeBr9Br9Br9Br9Br9xZ85KLOoc50Wdijt0AotcCNkZQkewOaGaxsPFdkI2dx8bTUM5DoC72dUzNvOSKMc.DuN.1EJ2Nv6V1UFHgEB26nAIJ.14GwZAV9W+gTs+.Vs+aV1UKrjkVWCyOwxbzUz2McQVu+AIzcplzMpH0h7Vr5NkKiUJDqub.i9x36ih2n7EX7d8Ruv+Nf0OgTzao2Q0u9YrEddSayrvKcc32PfKNRNto+idsWe9sK6qJJc+Hy1vLYzdn9Noq8omv+27ySn82sTR2WGot8omvW6eUBs+dQ01ddBs+6jh69xf9w9+6C+0P3q36VbIux22rq203RGiy06Upuw.5qBFGaf8+4t6fo7pSL9I92VL+x+7+7+pu+vQWbgAwR4xRc2ESe2t8zO1bnA41Tl+85xWaEko+k1BxzrtoNC5k+k+GnUY9Idr86GH9myLNiiA42SPFehaVzft3a9mQez99b8sJ6T54MKiAbhG+9sD4ZPkRC6ufEy9FkcKWHtZqvb0V6j89LdIXJQxMe6fKaLAVVbhqi0fNUq+izSX+m3wMuSY5RyBnuzNIAzy1q3julW4z2p8G302dqxAkMi8rON08LmKOVN8Lo+og6YNkMWjYusaO6a40yvq6pYiMa5Tidt2mUeixWzy9XK8g516ZY9UCwSaolt8X54ol63cYZ4dyY8tkCS14OaOydlirHKUnhTUZ2TVotryNOPkgbqlMZK2TFQkgr68fkyU1009eesx+zpRRaRtm4OAO0wUVt4GHYaMRea+bd3KuRavPrBvv6ObOB3.oDNK7OtHOxrGVIbL4gyjbu6ObhTI2K9tDLjtACRFarIliw4gpMln62sK693SvFozmS++A58zs4j2I5ZVctbWMqP8uGo8BSKrL6fNTcifdAc1goaTudGqYeoeABy0db6AXYYW8cMsvRL5tyiG02U5RnB4jj6uOiLK7I3oRl3L9Bb5RR0tqRj+rcJSGm7W5zFelwP66aoqMlO8ZgsY8Wioxsm8Dyu5XstDWCDktwx6cMGMnKgS+B2LNzzxaHJZNASLiliuXdhbq95nqiZGU0E60zKBd6EpIHx7a4c0RikT7Ld5G8OKBrA1rhnvFm5g.csxkFh4tC7qxI5Iug.Wx07ty2h1OvV0wqeTk.u7BCyQCSSq6bGYSsP6eVFa8aV1olXfjl70qMk2O+9zwSxGuSRdh8081IMl3TpT1MwQ9qo4sak3098TwTtxzaTFWOEmIbCseEQQpZ4OmbwO1A6ptXilQuqxC5P67yBy47ksr52ILRFhqxvDEwr.e7cnNetJmmjN+GDI2W6Acn+u+Azr6GszNHFGW8au5MHRtw6o5P+gqFZhwyUqbChj2L.N6y1R7fX7b0JwfXj2rAJiA9WrzOF5+VRvmoV8FBo2t2e4e7JxPXbL0p2PH8YB8y94qHCgwwTqDCgge4Un5N+oK8ifduHL74oUNcv82mha+E+hUCcvXYpUtgvin4Vo+043P3TOlEYNPJFBikoV4bpf7BHQc5o+aVMbpHdtZIZP7lh7BT8R5yO7UzmwdDN8wIbPb2Tj2qJJyD+Cm0sFWiRmIslBukemIslJuUJlIsVcdfZyjVqAOsuz2Z2R32vKpoJ+mnU32JZS92ehXO4Ot.O4fAi5ehMlUFFHT9c24Bid8GRR08sRZi5S7VF4vlOgzsqg9rmJ27knF0p8TDp9EVZ80GNwKazsD+YKKf09+rZK3jeRtI3bdo1nNnt+yqzBNk8xMAmyiSW.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.x7A7r+WQ+Egsw0HwfsoEtuXSdBmu9tlceEIrmGPFTQk9b5vlkr8M9gs5kF85NtWMrjvcw22MN7Y2GuFi9XoRyj930O06cn9gWbAdTMnCdixO52Ijbalz7uoay+1kO4UCruLn0eqxD8V7uvXpzcBx3J831tZ8HSxoESetoQG8OynuA09kc0NepQudORqq9oF80ouA1HgyNs16FWOLWdiPbYMZtDQwkNeK.ccScRNdiaNoD+aUlnbMNc5IujLjBnXlOH.pRKqpRa79L0kLH2cGeRf7w6CZjjRMoCFvSi5uc6m9e4iefNdoIZY0YgsQoToIz49U+0GL3E5V1Ga1SyJpj95Bypn3Y0aH7zABKIMMSYugXiGwqzK5z2uQYGQ9xTG1YJwxSG98Jer1hvDhmXNhXT6gZX6ow1z9agM86D7BOcz8LyYH4xz48HmDu6uqQ9MoCch9ftN+3+G9OdYhH+dCuLQQxT1+2jLkijoBclJQxTkNS0HYVmNy5QxrAclMhjYS5LaFIyVzY1JRlsoyrcTgPM5bQSHiPgxNpTBERLghJmPgDTnnRJTHQEJprBERXE7qRBfX+MnQrQRjOmh7Fx96uhAYOysxHOfoKfN4zCMW.lTNsvwYuKBPv.Db5gfkkHeLTfUy.DL.AOeff8UhYBAOVCmED707vmYBAecuLAH3EcHXEIxmxHGHXo+q25+NXEL.ACPv.DL.AOqffUkHeHx4MDLXEL.ACPvyZH3ruQD2vCelIDbYuLAH3YFDbnSuqtzoHvHX.AFPfADX.Addf.2P5TYvFX.AFPfWiPfy91PbSO3YlHvugWl.BbZPfaJcpBXCLf.CHv.BLf.WPHvuGMBbKoy.SfA.X..F.fmomD2a5gNyD.thWlqil.2VZ+KASfADX.AFPfAD34xGkQMoi1epff+g6v3aWEffAHX.BFffymcgnp+mlBaH32xO6kFH3uYHHXjD4NrEvfALX.CFvfWICI321GhlMF763mcAhA+qEBCVV5AFV5cri4RZoTI.FFfgAXX36SFBJsYELrB.CCvv.LL.CCvvySXXU.FFfgAXX.FFfgmmvv0AXX.FFfgAXX.FddBC2.fgAXX.FFfgAX3YMLb3GOgagggwPRGMx9pQ1CWEd+DJCueBv6mvb5oH4sc0l1qm4P8UAco2.zk.coYwaQxaHfGBUcFB2q2vZS00oL3U.3U.3U.KuB9MX5Uvs.uBVv8JnTZ.OQ.3I.dBfmyIvS3hPdoF7TF.OAvS.7boC7Dt.MW..OU.vS.7D.OWi.OgadsbC7TE.OAvS.7D.Og6rmzCdVG.OAvS.7D.OgaamzCd1..OAvS.7D.OgqImI.O+Mcmp8MJehsktVe7n6IZDTTKOHTuegJ1X+6XK8dlZcOw3mPUrudmcGcwE5VgS8ubGml598MGMHTa40yeh9U5Z1X8EJZdycdxS9DKyQWEkpM2wI.1N0RqyywhBZF5nA5XcFa5j1yxb3vKvriScMjNqiGY8LhrJHkmniWwXX3zv5OzZNjcE5GLTmnmZzwWIKnzel4WcLdH3g3kd5Ydk9QVcwiRT46zKpcplit70J69aTjeKG42JQ9sZjeWOxuaD42MC9sq.+PsqHyb9MJWCo8zCe5w8zFZ+zSL5hEmGM3oO1zpuVOLBWXHoaJ1hj35FC9o2ipj6Z7rwsqaJID.n2DB.zLDciaP0Gq32Gcs2xe93304uPaTOa+TCCbbn4.yqtzbfQmvpF3o5O6YzylI2G2LXn6aai0LCR4asySz6oqMLP29e4+ic9LiA5ZVg03Skr.ItrHtwqucY2tqDAsSZ4Mvcu9rMvc235Tcxxtcxpk2ybvPaML1r6mzgS26nN1ZuPWI491tFWQrLmDzw41vdoD6kusau7D89FK58w8zGXu.zGmyeyCwoQbKOKejvsnk8BnJ6aW1Y8WIh4TqvQba1CZrrG2CY+n6lhced51.kz6CPG+gqRa7Fd+6GnYqgG20GPLoy4S1nG1n0dzHBCwVfSF1KWlb6CWJ8DVsLwF.IzcjmBpUti5TPc86zXJnt4cZkEpeKWpaeG73aFH+FkO5xRYvuM47vusREneak.+1lq9s8tX+1NG6219FO6RM6gfmZqMdpICdpAdpkqdpotD3ol5RfmZpfmZfmZEjmZucbdp8Nw4oVo37Tai37T6Zw4o10iySsaDmmZkiySsaFmmZuQrdp8lw6oVk38TqZ7dp8VfmZqmdpo.mvF3oVZ8TqC1Ss8dU+y05Adps93olB3oF3oVt5oV8k.O0puD3oVcvSMvSMvSMvSMvSskEO0fyyd037rgwwUiwQAtSRe2P2vuH3J9EtVRgqkzreE+5oNc+9manSTUVATmdGPcBTmlE2xu2T3u6Pr5DbK+Be2gv2cX9u+H+5Lss+sga42Y92cXoz.+A2Su.7G.+Muf+f6o24L7GbS6Bve.72xG7GbS6lKvevckK.+AveqSveq52UtoB9CtsaA3O.9Cf+VctsaSE7Gbe0Bve.7G.+s5be0lgOoKU3S5Z1+IccyUnOoq6VtVaxklnen37Tmmc6mde3VTDtEEgu3K3K9JG+hupsD7EeUaI3K9pF7EeAewWK7QzD70Jv0rdpuYqal9ugnaUdudCuyz74WQUCw9IXc8H0vO7qYTCw9YXITMD6mhE+Z3cCpg3+br3WEuGknDcGjbVtDMZAdbAdbkFOt1tLpVHOtvtp7zcA+sVy82RE72B72JW82pwRf+VMVB72pA3uE3uE3u05q+VXaalR+sFWCY1eqw0Pl82ZbMjY+sFWCY2eq.QYV82p8Zt+V+pueA3u00Vs72BExeqGoY8z8.+sVy82pN3uE3uUt5uUyk.+sZtD3uUSveKveqo1eqJL825FyI+sn8A4Zo2Ch2qL1nEWCmy7cO26SUGY1565vi6DbZGow5aox0ZeNq3KCdsmfW6Ivhavh6owhazRfE2nk.KtQfE2fE2vIb.QT1rNhxDpFx3E6snQTF+ZP3HJKNG0xbDk8V99Xgpsl6jUgbDGqRNY8aVFU67ICoLvEq0MWrZ.tXAtXkqtX0ZIvEqVKAtX0BbwBbwBbwBBhrYcPjITMjYWrDKHxhyEKAChr3bwJyAQVfKVH3brfnHKktXgNexnHCbwZcyEqlfKVfKV4pKVsWBbwp8RfKVsAWr.Wrf3FagLtwZ.ek7vQZj13FqCq3FauW0+bsdfE2qOVbq.VbCVbmqVbKuDXws7RfE2xfE2fE2vgZ.wMFD2XKBwMlL3jE3jUZiarNSF2XfKVqatX0BbwBbwZZcw5cC8o4rvdSJ+NTeaNK5cRmONG39dF7xB7xBBcLHzwVHBcLEvKKHzwRani0YxPGC7xZcyKq1fWVfWV4qWVnkAurPKCdYA2ABfWVPziUDQOF3X5hhio4+K856F2Hw6E2Hw6G2Hw2HtQhuYbiDeq3FI96D2HwuVbiD+cicj3aG+HwudhiD+VLGIdOPmXlqS3msr+TemriJmPNxl2wO6nRJjiz4V9YGUVgpGRUo97ZVPo3lErQbyBJE2rfMhaVPo3lErQbyBJE2rfMhcVPo3mErQ7yBJE+rfMheVPo3mErwjyB5q0wx7ocLGXaY5rz8a5jBdA2AZN6UT4CI+VBU5EZ8FEZql5icQ+oc5DtplfP4rRnRVITMqDVOqD1HqD1LqD1JYBI6fx8GYa120uxRkN73G5ZK0FOL34Snz+eFjbdHB 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@Alexandar-mller Yes it works here. But you've got two simple gains in series both on channel 1/2 so I had to bypass one

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@David-Healey Yes, my idea is to have one output for every close mic position and have the simple gain modules set to 0 width and panned all the way left or right. Wouldn't I be able to control the gain of every output by doing it that way?
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@Alexandar-mller Yes you can do that, but when you have two inline both on the same channel they are going to affect each other. You need each one to be on a separate stereo pair.
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@David-Healey Okay, so then it would be something like this?
HiseSnippet 15950.3oc68s0jbbjcd8.fFjcSRvKK2KRVZc4wJVOX2g.cVU02VJxcvL.fyXxAyXLyxQaPQgsltqASsr6tln5pAA1Uvdss7EERgh02jsBE1d+IH+ndRLB6m7SJBGgc3H7C5mv9neyNy5RWYUclUkU0UW8sChfDnyLOYlmSlmuy4jYVYdrkYG8gCMsJsQ0SewU5k130KexKFXe4dWpYLnzA2uzFuY46c5gGchzoO3jSeRM0R69hqzFNTuaoM135eDoPaT4Fkb9yu5GrqVOsAczCRpToO0zni9mXz2vNH0i24iM506gZc0O0nOUoU24fNlC1yrm4HbG55kqU5JsNeg1S0ejFoXWqbo80FdYoM9tkk6nVW9hV5Mq05bkKzUqWW+BcjtZi1nyu3BcsZs0zp0oVqRabyGz0v1z5DaMa8gk13F6Z18Embo4WNvsA9TigFm2Sm7CToSvsraxOzrWWBKRRszdWZzq6w9RpgkJsQ4iCjaW2Ut8tkOznqw3zCjeukSFRATPK.23Zg6dWOT2CQ28pQ08Xzk1fpKcC2tzaW9jNVFWYGjCo+7ZkOXfst0EZ3wI5thaYKc8+7eiqWdOSbQFXem9Zeg9Csv+XLIaIipWeaoVMku86Ws5cuqDoo5JYYNx1XvSk5qYaY7bogN0kjEdPwRGOg36WEOtNzV5YZVRj5FKazsj9.ImoZ24o51O1k9CcHeqMCMiaS2V5DcaoGMp+4XBMuPBKeGLPu2vpUuvzRZKiO.89RFR+1RxMw+8266c6p+rpUF2R2QqaW7OFn2w1vbvVnsQ298kv8cjjsI9+0wst7YB9DJuMgq4lsx1Jwks51pwkc8sqGW1M1tQbY2b6lwkcqsaEW1s2tcbYipsMpVrE.KRQwV.4sQwJ6PJaihU5gT2FEq7CUeaTrRPTisQwJCQM2FEqTD0ZaTrxQT6sQwJIkqssbrRRYz1xwJIkwSBiURJqrsbrRRY0skiURJWea4XkjxM1V1QRVsxcuKN8gl8zuyUVFCr2xvQypyk5c9BIhlYGSKKLUi0wF3nAOr5KIpzGqq8ERGpaSRfBg3SzeldOmjOX.BiR3iFgwI1yr+UlCv+XqMCUJBFAqJ3nQ1hTCjhwqJNYz4hTEjhwqJN07JQpBRw3UE6Z2WjpfTLt8BDRf9.hO8xBwDx7q.EQ5.Jbo+LQZ+y3R99WJB83Rwcxz9BMWZetUvCO5iEoFHEywnGaUBgzHhQgPL8gXTGDSaHFkAwzEhQUPLMA9JBhzAhQOPH0.9ZAhPtBWk.QzA3pBruHZ.6yWAPn4+wL8WrY+dd7cn1P7ukHAYDx9fa5jjq4nML1KxGfc8uCtxnHrljqtP0PDcmg512yF6q44ir02JbVmYz09xskHVoElFu3d1V58Pg0aCJFxUyKt9JRxSuqZXx30xN4wr6lHUi6vb6uxtJ5w0ekk7TyqFlLdsrSdL6uIRk.BXEWfk35vJRdvJUCSFul1IOlc3DoJYArpKNVb8WUIOTrpgIiWK6jGy9ahTIf.ttCtYb825RtnlUCQDu1kjEyNaBzjrnsgCDcb8zFRt.zUCQDuVkjEydZBzHfPsoi4f35pMkbMFTMDQ7ZVRVL6pIPSxB0VmkPGskzYQ5msNiWShygYuLVJDPb1d+KSnW1VZ+KizMwDwqUIYwril.MIKNQ0brlFq8fZRtFSqFlLtH6j775snZQrHjDci6w031iQtFvisKij7seGgPtMtSl750ISo.8a46a3DCZBccYI2xE18Ep5QQr5QIo5QUr5QMo5otX0S8jpmFhUOMnpGr2Y2Wui1KjdrlsNUsd+Gr289QO4w26zGfqsZ2oshSQ2ajkE1KOoOUq2H8gUIEryHKGW9bbfq1cp89gR00WoIR10kjIR10v+DI6ZecxRiXlpLyTUXk5YrRzA3YRFYeVo5pG4jLV5PVCbKo8z506bsNeAkvjHCdvfmZLP+NcrzwBZmRdz4+DxPCdPvwEOmz7IdqKFMvcIZHK.5cuqy3ouXWJvcbGodXWXIti6NL4ThsHKQpDMMtiIQ7iLJUDkPJZbGvh3KWhsj63YDGpRnkbGri3TSxsDJDQDuKRncblmD1JexshRHZHlaSnUNKDAXSeI1FNS+BaCJg1vYpYDi.I1LtybihAytk7WfO5Igiqsqv4POUDC6zW64a4kz19SSoZ+wT3OQjlDbZaOdZ5X9bLI9yCoIAm11imkxpc7mFRSDNssGOIcx1weVHMI3z1d7bTlsCZxlA42JnIaDuofgJure4kY1BJSRghOEJS1BmMQwOyqzmwp58l6QW98uba+4kSV8dy7BM9su+v29rZA+oczjfSa6wSJcmv4LmCOgB++eu77ONUsjzOy4+abgzVzyd+PJaY21oD9kj7mP14nH688JwKc9a8dC0iizu6GPYYMLot+eLGim3m+7sDeVmnF9gzVr4y7tZrzTlB1mPbr7OwN2nyKtwbBXxGR6SBeF2E2glxTv3DhiiwcFbH9OXdUww7DPwOj1yK9LuK9IMkof4IDmznNFOs3XbBz9GR6aIeF20J.MkofwIDmDieJp.GvQzi2nXFtQgFsQoYvFkLKKWfrrLMKKGCKKGhkkSCKKmLKqTfrrBMKqDCKqDhkURCKqjHKeVwwwmQwvmwmeOilcOKEb6YIxr6eYwwsXWz9PpPU4yuN9xQQVJ3XLoIwxGsewwxXuLobOY+X7NY+PNmreZ7MY+DYYryoEGOS7S9CoWlA9bsqK0zTlB9lPbB9j5tBQFmq2irieOS2Zng4.oYfq4DgQfK1dqWBNhTuVe3CMchT8gZcrMs1hxW82OfTWGTEkV+PLobwSTRcB0zmTWGjDkT+.NobwPTRcB7bbqhRSihnHTNMDJSQnRZHTIfvyRAcmEPlCFlnz4EfZ.RfvyB1OfPWkIQobb7ptGpwwqLRNqZ3ATD5bRQVwPm1aKFZAiOJTQJUn46iOrSQJTnY1iONSQJTn4viOvRQJTnYq9GJonUDJZQjmnHxQKhxDEQIRQNKZINKRA1+xnkfd9i+4+Ip7a+HEgb.ehTFp0vfd.SnwKQFtDYzRjAKAFqRdnJ4QpDGnRZbZ+jGlDXTh2fzKIaABVtaqY4t.7ao3r8SNQkNx11bvPu0w+b6A03dnWHYFrqL3eghqnnPEUNthJGpnJwUTkPEUMthpFpn2q+4wxYj7iR.JABPQIPNABhbJqvIdrgcmKOpis1yziiVphwtJNQuuQhU.oPrIeOx9ckD4jBMI4V53YcwRqSIXQ3yRfrmMAQOR+4w1Vj781vuGLP67d528YteRBRSLOW4JKGGZH+SREcud8NFmhtksg9vsBMKKnjpLKoWQ0cZwtd0IgnOS9ye+vYh7pmH452KoHEEMyPjRxEyjNcdrzcKupeaoMuPC6JrmL.Okyf7AML4gRijfmJwD6hpedgk9dohhgBDSJjigBYlTnDCEJLoPMFJTYRQ8Xnntm3audlC4H61q2PtxNRdS1l3TQwPAhIExwPgLSJThgBElTnFCEpLondLTTmIEMhghFdRaGLFIOrvCM6NpmdHwNEFXHQuSQ0HdrtIcQB2OnxAkLwHtDKmLwxbIVIYhU3RrZxDqxk35ISbctD2HYhavk3lISbStD2JYhawk31ISba9SRDXJFJl4XhLICEZhOw3L1BE+o9jBDauxo.L5RjzQIQHhCgxIQnLGBURhPENDplDgpbHrdRDVmCgMRhvFbHrYRD1jCgsRhvVbHrcRD1l2DfDm5f3N2I4IOgmJ63MIuowjLisu3T.FcER5njHDwgP4jHTlCgJIQnBGBUShPUNDVOIBqygvFIQXCND1LIBaxgvVIQXKND1NIBayaBPhScPbm6j7jG+owmn0+pdjOyufpwKoP0gym0ryu1ZS+7C23doJm.UxLoRIApTXRkZBToxjp5IPUclT0HApZvjpVIPUKlT0NApZyjpvyWXMfUiMcINPydjFkzPMh8XMJoAajRn4l80tZnz8rrzdAUcMzIqCIY8A9ULo5NwO8OwXnyQwjDaiY+yMO274Tj2o+4iKI2froKTXNgNGjPzi3WApBUAp7qf5BUA04WAMDpBZvuBZJTEzjeEzRnJnE+JnsPUP6XFFqI13XsXpBAmJ38IjRkjy5Zrogsd+gatM0b667SLMFr0l+tC171jVktRROIpomj5omjFomjlomjVomj1YPHWKCzH3HS0pFC5YfiAx+fgKYNftdHyirL6sUG+IQaimu0ajty8mgOP4czF58O2512omoV2wjuUP69YNz8dnOG2puD2vh.1Q3Audv3SvNy9m.bBRDVQcFwJHQ3Ej3LipHLS8YDynJBynRwLwyK0EgWZLi3k5hvK0ElWZHBuzZFwKMDgWZHLuzTDdo8LhWZJBuzTXdokP3X0lQLSKQXlVByLsEhYlUnxsEgYZKLyfpID2HOq.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.OobsQhB9ZIOCH0iurpjTM.KH9VapAIFtK1l+vKMxOCSUHlP+htVUnledTdWL5ZMyGdSV6k0XWpUeCEGGC6exI.U6YlKFU8YML2hgd.hma+bWWgJiUTlmPDBLIR.YCcQdYkIkNrl1DqvIAYSAYebVogUoBemLSoRlybrwYm9YYEkJX9OOKPVVY7zNNd0hX6Q6rZAeB4E7z3ybHmlkiakiBlgLoyzRURJjJ4F4aHUx0CaVUMwA5VIoU0VXvX4zXhhojoAkjgQj9MXIYDbKXkaDqjYR9tUhhN1RFZLFAkNB5JWSJoCCW4ZxR5H3l5J2LhaUoU7j37Fe4GCwSElq8YbJVIoVoHmupUJn3EO4mdUkJ7l+njmZWJJ4q1kh7TN+I8pWUDW9jd8KE07U+RQo.0uDZM7mJ0qV4r5UyBT8h4jG0bU4pcNqb0pvUtDW7jdcK0Z4rtU6oyxtvpVr78MMqVsbLaPES8vjcerVNuh7sKZEwD13EAEcYv8RTN6dYsBTGMGkbYv0S4b10Szb1zXZBoKbP+nLnwNKB3qRQGG0TAQj5Y5Ulh3LEeUZJb42xRncIOdQGaGyf6xtJl7hpJ1bbDKGrBOdDioBFRXaIgFqxhCLJ47Xkbw4.CKaIYTxgx.tjZNiKoLuCxHixNQQHnUXqmyJrpywUOSJsqd1T6Cyra00VPVspYfOLSwh4k3zco42p8srr7YoxGln1DqLcZXBOhU3pXywQr7zGlzYNQI+chocN6DSqhxIlpUpTg6BpmQAHCCJI5LiRsb1Yl1E+1QTIJhQFkeYveFETNq7Vqv8mYRwmZg5RyLaGMVP1if70klTuKA4+5xL6DfE41VTzqKizTrsfS8ByTLJYywgr70oFNNhJ7mexT6WiR8bd7Rc9eJJxnzKCKPiRibFfp9b+HVjQgWV7noYNq41nn7nItMIVMqaRbLmN0TuInEx1GWn65ZA41yTuqqIbd0S0FxVHak8xxN.mgU2oxzOPVKsCjRKF5iywQxYvp9H5.IpvNTNytOS1YtaSoAhCUTGUGTNuSWnhamtJ.4Y5O.Onb12JTg4aEGr6zhQmqKIwp4Y6Yo4jNLUarSJ214Y4wBalcNHVPN9.455ONcmdfY4gEalIUWVNICoaQIyoAxYvYHqPzGmiCj4pm3S8IRYFZTdE5vprzr08o2nbl254raSVZ9ss9KH6BdAbTsyv.4LXqBmYx0kk8iOEJjEi5n7hzoroHGEKDKxS6G.5L0d7rXSfWmOm.4p43oba+lkmPmY1lQufr+s4n03oaiuytxuz7aOwWV1G4EOcQ4EUcw43vXNaKl006V879r.DO.ap+f8W8Nl.KU6Cp33Dyl8XJ9yNlzzXIe1s+nKHafXtenSpTY1N9N8nEEhzdYY+LSotak4lxq7hpx6bbzMuCCeNrciSks9UmMhboYmVlNa8EvZkm3DJoJUVOVH8EjE7cdMmRsXlSsNsXPEYDuE3hHxJj2FY3E8HqGSyY4ruUn.XJRmtley9HAP8x2uJmWvvp28tGLnqwyL5NRqmzGQd1COomQWcqgzOYhewfyOX.2WiambC+NdiS5nQ1wQAN6IH4jQmGGI3rmfjSMuJNRvYOAI6Z2ONRvYOYqfhsQPSRfbrDHOIAJwRfxDDbVbk+rIJ996GW42e+IG9hkfiljfGdzGGGE3r2z8U57Psg15Vty093AlmW0elVemLHo2o2P+mSyJgR08Mhb7S14Ct3B8N1jmqywUYMoCbeQvSKgHImojYfRYImYlYfREImInYfRUIm4oYfx5RmhxDgMjNUNSD1T5TkLQXKoyxDcsk1+xrMGnlDYlcVnDI4LCmP5DSm6ZXgKu2L5JglS6lk.0urz8cJZzdmvUfxzVApSaETeZqfFzUfOpAFawsLepYuQ80iCChtbNfQQRi86D63BQ5Cw99IypjrexXcdAaetDFALz7Lb.kDeudNoibOaaKiyGYqu0yuCIaexItADzJ0NXP3BGNKJBcevGbrUS+ZODt5PXLPd0mSdzUHlxummkd90nLFajWM5jGqZjjN2ZTAiYxqFcxiUMRRmaMphwR4UiN4wpFIoysFqeJhWERxhYODwu5ZbpLupijEypSle007TEdUGIKlUmB+pq0Y7pMbNrpry3WWs2+RdUFIKV0196Gy74ZGsO24yj7XNeNtJDgg44ViNYxpJIoGtNeoyCgN06FCk+Pt.aCMHt5+Qtuky9tCQ.NB81W2H38tNDAbfS8xcSLZfwscezqC4Eme2IYvzvkzGNMbpbATCWrj.UYV5j.VCIMDDX0ePw8EaNlQj8BbPchQjlrFQ1iqSDd4xcDwouj7vAUw7GKnRh6.AUYRZTXxhJ9PvdBaayeH3Xm2KocGYaia+i5Xq8L8HBF2RDiHwo.NBiwdJ3jzwVNAM5+SBg2qWORp5V1F5C2JfDrl8UCM9o5TEmTNxAg+847Zw6TH2NbhuZ7d+xQvLt6PdJw8a2skbeyQckJr4zvs4l2l6qc+j8raOon9D89FwwYj7yE9RT1hzfIwTTcJFrzd35KNVhjedvR0tSMg4JRalDWQ0un4JZDoqBFRowingiPxA3QTEOBZzglcG0Sy1zZqMomLMAnzU9hagaNRgSnwbFhY2TDYfvMEovIzTNxcplhIRmaIiaFA0y4Fk3Zh2bswbGyGdswcHZWCjjpx9EKlS63uOTNqYqiDpOA5kZj91AuGlUbby8.xDygF1uXqfHJ7VpvHaEBy9ebsHorAayZlZtHBjfkklTkiKQMd073RfRrDxIVBkDKgZhkndhknQhknYhknUhkncxRLADpbkptq5ryigXr.fA1k45SBs5mGvmkNtvR6ZY9kC0sj9N9H6eOoGo0OjeAWzy1sv9kkm+AQKHkeB3Yh15Om.6PlS5TH19HvwlhCEw6hTjF+NCuz7K8oXrL0yxyCF7Tbi3z8GYYgqoeHlBWxIbuqJxlaRT63aywo3tx7s1jvcatszlmn2irtTjAXu7wsJQgL0UElfD6lNlFqjfsQpJmsgQZg63IGOyvbzv69Hxfl+TEmIHC4LDQJovV78XLx96PnKfs1hbXXHbUZkUhHpdI+YWOKKcceoTw088jybGJoFDvD3wZwMv+Lpg8fnzNznC9+dt2HNMV.lJmhfKAo.7PBBWrv6qwgNwtPZlOPZrOE6coQutN+hr7jXSeNkXyayKh.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.6o2fvBBfU58PELF6js3rFlcxVTPj12CUqV1.McoLC3erHTHrLF8UgvkXPm.XLLnRH.CFzInxOKJEUQdLsQ+hEmvwJ1ZfyZCySNAcVaadxVTHTFVCBhAWvfRAU6YPInIsPpIImrlzL0GPmI0EnafSpDMS8Db4VmctXxc8R+SIY8uYW3CvryUWGBWVUHTSVgXlFlKnS.AIsXoQTOYMhY7hw.5DfNQNYcIWzHZHfFQArfgfFAnQT39aM4JTKmvJTyd6HwpMxv5Vu3rt0K0KDInaOe8bzQ+mkkxZIeBD.ffBBH.VG07bcTg0lLGgORE5gBfdLGPOJxUAFhOXodkUSm5rJnNWLpyUlmKhMnRuDuvvoz895fF8bv.cguF7fJ8R65ZmRE5FfB87PgNCag.nRudt3cU3pQix5JvAqaLrjXqTaJ+Z8Rogx5RosN.C.mvQXMwV.9PRRyRhsNnVBmyRXosVnzKqu1pWVovWpoJft4Z9ZTkJUyFfpYAtnQfx458pMIxGyYZBxDVGlobcXpTjwyVAN34oY8sWdO8lxYM5TPeNW0mm8ABCpzEv4vbQUgtNnPWvJzP.zq6W6CyTE5FfBcQqPCgcC2jK4x40PIq9bWnA8AdjN2mquzrpVUltEZJ2W.Ykr5DbgpgAWoFfJVFUwRgErJy5qTrz3SZwpeU7mtVPCCzvR4R.k3MTVZreUzNsAqxAngkUMLgicqxLYcUTypMrBWGCLiAJYEsRVNXDqdVUvJdiJfJFnhUzpXoaQHm7NYSIS2Iab+7vTfO3S3lZKeNfhvFOkmexcqWWV8oABSAfv.Hrk9uVP3CvaABRQEfT.HkUguzQ3iGbdbQ2I12TH.p.fJ4CnRwuRYv2V0BhmJM.PE.TY1.pT7KFNfpjKd4jwqmeXAUfKs+0okKcY6RLeEdUXjgUgAvgVIwgVMu70WAt2mRCPDrxM.PD7kHu5hEsHtbOxvx8.HQvmPMfEM2WjHEH3rEmGyoU5u8a3.FqrrEvjBDvzZJ3vZQ7Dq9mJuBGa.BgYM.aX8vCe3L6lYrAUvug0oWH14v0E.DZwL3aWrv7cPE7c.7cnvtfEAzg73vtUI+emAD3YmF.GV4eLpA.hUQ.hzb0ZMEu4so4XsBuDtvlYtPcNSWduzyVsdmNy7ATEPT.DkEsSL5xKnxpzSLZlOpo.jB.ornGi1pOnx7cCWQ46YFEfT.HE3cvYYFUIkOIMoa8TTfneVL9RSgXCfCx4Lx2AEHbjEjU4C7VekPMundvHyAsbHBgU1i4.nnuZb3JSmZtJXLec63NB54qzmRRT9dJIA87k1WnIPSegUSOedWnQ46YdbsPUe83THBJ6KNJ64woWTNeWscXGtx0c3BVX+4FRxb4vWWYgZU5ky2UoGvFVlvFf0OXQGdXNu59x46p6CnCKwnCPfHqR3C4wlBHmuaJ.fNjqnCv1O.vCExVIjGvCfyCq7vCf+CqN.D4yNPHmu6.A.PrbeQtCHDqNHD4w1VnjugWrRekFW3JqfhSRJNKOen.4xFInjud6uZqsBV5.E1B5K6IklWquTnvB9lBZrqtmceVZqp4q15Ju+ofBKnvVHmVOBYmaoq8E9ZtczvZtpe+pNFdS7NFUnaXCbEUgysKnJb6iVDWMwvMWBr9oK8OgV4w4.nXtV1SKpnJfJBnh.pHrsynoxOtUNbw5.tHfKB3hvtsOUHiUV3eB.SKtXC.WDvEAbQ39+bw.Ybl87GJzsyEDGMfKthcqmUzQYBWJny.22TfvZAXpB+JdY09br.WqoerXmNp7AnBhyD.pVM.plCggA2Lq4NRkJ3REfTAWDtqsdUk0cCsvi8SEboB.pfax20YupJhStQNfTUGPp.jpUxKh34.T0ZER0z+QAUKEOOmvl9M2wofyIv5zosOG8Sbs7lINe.2f00B.2.vsE6Sh5p7Mq7LEbChvD.2.vsE8Uba08hgNG.2hrP+U.W2.zM36cD7dKutUJqLmcdC1HS.dCf2Vx1wzkW7sB16MXyOAzM3ixdI+4dcYBfaVsmoJvwkcI.daEaS9lumnC3Bfb1eonmOfMfuT.XyJvIOE.bxyuL6oEtABcaMFtABrA.blUgRoBvMKCGS9U+MlBfbVZOn7b.bPE04ces3aHAVr3koywzbE7dA+kMYg5bqiJpysN.RAfTKxfTEuGeKSvTy2yeNpnN+4.HE.RsPCRAuSbyFXpbX4rQ4x4rD7jB.ofC18JNLUZVYo4ouTpfuT.LEb.sAfpTBTk1miroEmpNfSA3TvQsFPpRKRUJhWrR5.pTf39f8kBBJJEZvqYG1ZTQcXqAXikcXCvz+JBvwrKtHEHtH3tJCfNVYgNRSfJoB3PE.NfMTAvNVkwNRyRivC7PtnVjCXgJgKZZX8TxC7o4y0vctr1HxE0Zi.nM.ZC3OzxLdSdrjJxE0Rp.vMvEMO.3rTC3jCKDibQsPL.bCbFZADmkcDmTc2CxBuQonvafEa.zFW00FWvW02ysz09hwHAczvHA0+9UcVV2L9hwJyEQP.bELNQc3Bxo.tOtfCwL3OKrZcSyBCULWlp4CFac.iEvXALV.icNGgxh3qRY9fv1.PXADV.gEPXm+KIyh2aiYZgXUAmXAHV.hE13qE1kZeA7A5Le.YA+XAPV.jE.YWLbksHdmPqLSQYqCnr.JKfxBWbOqh3r4wsgSZfYUfUL.fYg6OjUuvoWUuJelKndfyk.pGf5sT32E77slZLOHfZ.yakEya8HZy092PVzzbMn.Xd.lGbYUsbf6sd9N1VK+eGagkzatB5Aap.7V5tvBkuDeuUMKQJA2CAjR.oDVvwkr6bqYJRIDHMfTBHkvxTt3hUNqVxQYXIGAjR.oDVbyUJzxo9pNqV9eM0CfkEMXIr3Z.Txp98z1z9hGOC1mE3yo.78B.mKVv4k16dyY4afZgseI.hGf3AHdvENrvfd4vFeflua7A.4APdq8OyJ.nWJ.8l9cv.Me2AC.xCf7f8T.P8REp2zdloQy2Mh.9RtfmaF.QXc549tfdztSCHD3SB7bc.vcviqURaZq6aVE8SVUi43SVE2sLsAbdOfuGWHZcvxHXYbN+3rj7F9Bv0.bM.WCv0qG6g9Bz8ishHupz.fM.XC.1.f856JAklaZ648SyEfWC30.dMb5EVygrmQeahyfWFA.vF.rgidA.mszdo8VYdeQTBHny0O4avcPX8VAv54ygwXt9gomBbWHtX.HD.BgSP2h1InaxCyVyEtCyVnZIBTaSvE2hvEWv7EX9BLesFX9xym5WV8kUuXzfN1FlCjLG7HSa8iFr0sqhQZw4HEMqKtfYd6YNv1xrWOcKlYepQeN43Q3VCF0+bcKOdZbAKswMdPWCaSqSr0r0GVZix6Z18Embo4WNnzFWuLpzmZLz37d5t+fXzf7upUpCtV0GXSUPyAGLvv9nqz89co8tznW2isL6nObno0vR3TbIpToM9HudEtn1u3Jbseqxmzwx3J6cGYaaNnjQ2Ra7Vkwlo1qm4P8CM5bnwyK4zyKsQkaTx4O+pePon0xa4UK6Y1+bycMetW8zo+4mn0+pd5GpcEBEsdT1IS0Ssn0SMAqm2LT8zNZ0HmopoUzp4NYpZZNtZt4aWx6OYnZZDTM2ZJpl5QYpualXJ0nUyVBVM2JT0DvSaLE7Tvzua9Z7pFFJC2jnLTS.U.dzhlBZkEf04QqR.skRKspYi1JDZuW+yyn3xmbzzQtbJH+jdFc0sbH+sKGwrRzp4u7CEoZ9ZjpA2KLzGzQeZpn2hTQNnvSSsTkTKGaX24xnzK1Ppis.G5Opis1yzy1PysFWKmn22Ha8jf5XOhorLUGNSQN1R+YSA4OR+4oo0oFKtU4OQ+Y58NTGOE6fAQqiezWIRc7JkcB1Kacf2jpCfieKa8fWsrazeSeW.GP2TzEXPc56B3.7lht.CpESqjtKfi3aJ5BLnVrt.8jwSQSwjwIINCc.4ooCHmCc.kooCnjsNvaP0ANKas+MIs+YSO+u+9SA+OIwouCbzzzANZ+oWMDG64TnFxf5X5BTlTpV1e4IylIowzilR5kmR5UlR5UmR5qOkz2X5MlbvfLhi9VgsKmC0B13XNTKX6a4PsfMQkwZIjkZTdTIx4QknjwJgFu6rbnir+k4Pkbz94vPLF9iUs7CO39Z1ZkJswFdK.0wVlWoaYaPVuqMtu9yL5nepS8Wo780G9E1X+o13iwwvek4.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.YgSAaKfffTPUUwjBNkstHh.mR1PD9mTx5HgXdOk95xBv+9kUQ.QfeYaIlTvu3sEQP3U3F0DQV3V3RYz.SMdFX14Jv.CXfALv.FX.CLfAlTXfI5t0yw9B1bBXeAru.1W.6Kf8Ev9RVsuzhm8ke9+.v9BXeAru.1W.6Kf8kLaeoIk8k+leAk8EouLh8ke9mNg8k6C1W.6Kf8Ev9BXeAruv6C+Hv9xu5OAru.1W.6Kf8Ev9BXeIeruTm696+Sf0GCru.1W.6Kf8Ev9Rlsunxc+8UA6Kf8Ev9BXeAru.1WRg8kH2gHTa+x+rvKOFX6.rc.1N.aGfsiUdaGQhjvfwNgjsvWn+9Jk9iA6Kf8Ev9BXeArurVaeg4NsSae4UR5VGj51M3TJiJ+he9N1jagLrkI2dxccTUM5DoC72bUzNvOWKMc.DuN.NDJ2NvaV1UFHgEB28nAIJ.14Gyx.K+q+Pp1e.q1+UK6pEVxRqqg4GYYN5J56ltH16ueBcmpIciJRYj2hU2obYrRgX8kCXzWFeeT7Jku.i2qW5Y92Ar9IjhdK8Jp9UOksvyaZalEdoqC+JBbwQxIL8e7K85yudYeUQo6EY1FlIi1C02IcsO8D9+5+nDZ+cKkz80Qpae5I709WkP6uWTssuHg1+MRwceYP+X++8g+ZH7U7cKtjW46a106Zboiw458J02X.8UAiiOv9+b2cvTd0IF+T+aKle4e1e1e4OX3nKtvf3obYot6houa2d5GaNzfbaJy+dc4qrhxz+RaAYZV2TmA8x+h+CzpL+TO19sCD+yYFmw1f76IHiOwMKZPW7U+So2Zeet9VkcJ87lkw.Nwie+ZhbMnRog8myhYekxtkKDWsUXtZqcxdeFaBlRjbyWO3xFS.yhSbcrFzoZ8ejdB6+HOt4MJSWZV.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.6VQTXiS8PftV4RCwb2A9U4D8jWQfK4Zd24aQ6GXu530OpRfWdlg4ngoo0ctiroLz9mlwV+lkcpIFHoIe8ZSE8yuO84I4C2IoHw9pd6jFWbJUJ6t3H+Uz71sR7Z+dpXJWY5MJiqmhyEtg1ufnHUs7mRt3G6fCUWrQyn2U4Acnc94g4b9xVV86DFICwUYXhhXdfO9NTmOWkySRm+Chj6q8fNz+2+wzr6GrzNHFGW8au5MHRtw6o5P+AqFZhwyUqbChj2L.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.O6+EzeQXabMxYv1zB2WrIOgyWeWytufbrmGPFTQk9T5iMKY4a7O1pWZzq63d0vRB2Eea2ygO6930XzGKUZlzGu9oduC0O3hKvipAcvaT9g+Ngjayjl+Uca9Wu7IuXf8kAs9qUln2h+EFSktSPFWoG21UqGYRNsX5SMM5n+IF8MnVurq14iM506gZc0O0nuN8MvF43rSq8tw0Cyk2HDWVilKQTboy2BPW2Tmji23lSJwe2xDkqwoSO4kjgT.Ey7AAPUZYUUZi2lotjA4t63iBjOdePijTpIcv.dZT+Ma+j+Ke380wllnkUmE1GkRklPm6W8WcvfmoaYerYOMqnR5qKLqhhmUugvSGHrjzzLk8FhMdDuRunSeemxNh7koNryThkmN7aU9XsEgIDO1bDwo1C0v9Si8o8.rqemfM7zQ2yMmgjKSmeKxNw696ZjeS5PmnOnqyO9+g+iWlHxu2vKSTjLk8+MIS4HYpPmoRjLUoyTMRl0oyrdjLaPmYiHY1jNylQxrEclshjYa5LaGUHTiNWzDxHTnriJkPgDSnnxITHAEJpjBERTghJqPgDVnnRKTHwEJp7BERfghJwPgDYnnxLTHgFJpTSNjTSNpTSNjTSdh4VgmbEUpIGRpIGUpIGRpIGUpIGRpIGUpIGRpIGUpIGRpIGUpIGRpIGUpIGRpIGUpoDRpoDUpoDRpoDUpoDRpoLgNYXkxnRMkPRMknRMkPRsfeUR.uCdGZuCPRjOcm718fevJl6AybOZyCWBJfN4z6FPAD9xzZ5O6cwLYt2WIlo49wH5rL2eMOeAXZt+5dYBl6Ay8f4dvbuq4dYIxG4IrZ.f4dvb+xl49rGc+M77Efo49xdYBl6Ay8f49UKy8JRjqC.Nl6k9udq+6Pz8f4dvb+Jl49rGc+M87Efo49WwKSvbOXtGL2uHZtWUhbwwj2l6gn6Ay8f49UQy8YO59W0yW.ll6q3kIXtGL2Cl6yUy8gNYe0kNEAA2CV6Aq8f09E0stup+4Ujs09WyOavZOXsGr1Gm09FRmJCw1CV6Aq8f09UyCp2q66L.aq8uge1f0dvZ+pt09lRmp.w1CV6Aq8f0d3X4Oo09a46L.aq8uoe1f0dvZ+Bo092h1ZeKoyfP6Ai8fwdvXOXrOuCs+s78Efsw921OavXOXruHBsusz9WBg1CV6Aq8f0dvZ+h0B4+N9NCv1Z+WyOavZOXsWvKXmZRGs+TYt+GsCi67RvbOXtGL2Cl6Ay8yuUx+c8u+kXat+q6mMXtek1b+WKj4djD4cVDr2C16A68f8dvdObN87r2+M7cGfs89uoe1f89Eb68eiP16kktugkdmP2gtWK7iVQoRfIevjOXxe1YxGtx7AS9v92Cl7KFS9JfIevjOXxGL4Cl7AS9fI+0AS9pfIevjOXxGL4Cl7AS9fI+0AS90AS9fIevjOXxGL4Cl7AS9qCl7a.l7AS9fIevjOXxGL4Cl7WUL4+hA1WF.HdKrIer4uiFYe0H6g7No9NHgLLj+olFcz+Di9F1Aod0NerQudOTqq9oF8oJs5NGzwbvdXDxQVtXjQM1eiPPq03Yr+gl85R5gjTYX3uLEWecWt9cKenQWiwoSaNfjgT.Ez7+bv3DQjuPa+7sKergcmKY2GuFi9Hd.YVzG8FXeixO3hKvtnFzAuQ4G96L6GE4oM85tZS60ybn9pftzq.5RftzLXTLzDKdQiV0YHbudCqMUOQ6PDnPDnPDnrh.82jYDn2Bh.cAOBzRoA7DAfm.3I.dNm.Oy9We607+BHYAddcuLAvyYK3oL.dBfm.34RG3Y1877FdHqLAOK6kI.dJB3oB.dBfm.34ZD3Y1877ldHqLAOeEuLWm.OUAvS.7D.OAvyYZX6upGxJSvyJdYt7AdVG.OAvS.7D.OWTWyyp9aaFavyWyO64A3YC.7D.OAvS.7DdV0m.77a6NU6cJehsktVe7n6IZDTTKOHTuegJ1y92wV58L05dhwOkpXe0N6N5hKzsBm5ewNNM085aNZPn1xqm+X8qz0rw5KTz7p673G+QVlitJJUatiyAX6TKsNeAVTPyPGMPGqyXSmzdVlCGdAlcbpqgzYc7HqmRjUAo7XcrEiggSCq+Pq4PVUne3PchdpQGekrfR+Ile4w3gfGfM8zy7J8ir5hGknx2oWT6TMGc4qU182nH+VNxuUh7a0H+tdje2HxuaF7aWA9gZWQl47aVtFR6IG9ji6oMz9ImXzEKNOZvSdjoUesdXDtvPR2TLij35FC9o2ipj6Z7zwsqaJIb.PuIb.PyvoabCp9XE+9nq+V9yGGam+BsQ8r8SMLvwglCLu5RyAFcBqZfmp+zmROal7d2wfgtmsMVyLHk2cmGq2SWaXft8+x+G67IFCz0rBqwmJYARbYQbiWeqxtcWIBZmzx6A285y1Ct6FWmpSV1sSVs7dlCFZqgwlc+jNb5dG0wV6Y5JI22103Jhm4jCcbtMrWJwd4q61KOQuuwhdebO8A1K.8w4727PbZD2xyyGIbKZYu.px95kcr+JQbmZE9D2l8CMV1O2CYeq6lhUed5V.kzGCPG+gqRa7Jd+66qYqgG20GPboy4S1nG1o0dzHBCwdfSF1KWl7J3TJ8DVsLwG.Iz6IOETq7dpSA00euFSA0MeuVYg5Wyk51uGd7MCjeixGcYoLD2lbdD2VoBLtsRPbay031dSbbamiiaaeimdol8PHRs0lH0jgH0fH0x0H0TWBhTScIHRMUHRMHRsBJRsWOtH0di3hTqTbQpsQbQpcs3hT65wEo1MhKRsxwEo1MiKRsWI1H0d03iTqR7QpUM9H0dMHRs0yH0TfcXChTKsQp0AGo1dun+4Z8fH0VehTSAhTChTKWiTq9RPjZ0WBhTqNDoFDoFDoFDoFDo1xRjZv9YuZre14+330hab7FwMNdy3FGe03FGqF233qG233shab7shab7chcb7cieb7qG+332H9wwuYrmMYd2IouYna3WDbE+BWKov0RZ1uhe8TmtW+yMzIpJq.pSuAnNApSyha42aJ72cHVcBtkegu6P36NL+WejeMl91+5vs76L+6NrTZf+f6oW.9Cf+lWvev8z6bF9CtocA3O.9a4C9CtocyE3O3txEf+.3u0I3uU86J2TA+A21s.7G.+AveqN21soB9CtuZA3O.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.ek7vVZj1yMVGVmar8dQ+y05Adbu93wsB3wM3wct5ws7RfG2xKAdbKCdbCdbCapAbtwfyM1hv4FSFBxBBxJsmarNSdtwfPrV2BwpEDhEDh0zFh0aF5SyYg8lT9Mn91bVz6jNebNv88LDkEDkEbzwfiN1BwQGSAhxBN5Xo8ni0YxiNFDk05VTVsgnrfnrx2nrPKCQYgVFhxBtCDfnrfSOVQb5wf.SWTBLMSiDeq3FI90haj3WOtQh+VwMR7aD2HwuYbiDe63FI9aG2HgTbiD+chcjXy3GI96l3HwALGI9sRiNQru4taD2HQru4tWKtQhXeycudbiDw9l6di3FIh+M2sb7iDS9ji6msLsZLJpbBERPghJoPpz54nnxJTHgEJpzB0fFH.EUdgBIvPQkXnVzHEnnxLTHgFJpTSNDRhbTolbHjD4IlaI6CX3jcTolrib5M7yNpTS1QNcK+riJ0jcjSuoe1QkZxNxo2xO6nRMYG4za6mcTolrib5c7yNpTS1QN807yNpTSwQN8t9HXQkZJNxoute1QkZJNxouge1SnS5Hm9l9YGUponRCJqDUpoTmFVVoNODm5LQb90AqvybqvgPbd83Qb70c3f3bq3Qb70c3f37Vwi33q6vAw4chGwwW2gChy6FOhyWOdDmuQ7HNey3Qb9Vwi37qMAhSo9ZcrLeRGyA1VlNNW+pNofcIdflyp4V9PxukPkdlVuQgVL39FcMdRmNgqpIHTNqDpjUBUyJg0yJgMxJgMyJgsRlPxZbduQ1l8cW4mRkN73G3FsyFOH3ANoz+eXL1XbLIf I understand correctly then I would also be able to just have my master gain modules set to 100% width and C, right?
Any idea why all my gain modules are broken for me? -
@Alexandar-mller That's solved the problem I mentioned but I think there are other strange things in your setup

I think you might be over complicating it, you have simple gain modules everywhere :p
Are you wanting to route each microphone to a separate output? (you only mentioned close mics before).
Does each sampler represent a different articulation?
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@David-Healey Great, yes I think you might be right.
Sampler 1 is my close mics with polyphony group 1 (Kicks, snares and toms)
Sampler 2 is my close mics with polyphony group 2 (hihats)
Sampler 3 is my close mics with polyphony group 3 (cymbals)
Sampler 4 is near ambience mics, poly 1
Sampler 8 is mid ambience mics, poly 1
Sampler 9 is far ambience mics, poly 1
Sampler 5 is near ambience mics, poly 2
Sampler 10 is mid ambience mics, poly 2
Sampler 11 is far ambience mics, poly 2
Sampler 6 is near ambience mics, poly 3
Sampler 12 is mid ambience mics, poly 3
Sampler 13 is far ambience mics, poly 3.I want the 14 close mics and 12 ambience mics to go to individual outputs, so 26 total.
I think the GainCls and Master Gain12-16 modules are redundant, leftover from earlier work.I've set the channel amount to 36 on the container, so its different from your picture, but the routing seems to be working for me.
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@Alexandar-mller Is there a reason you're not using the built in multi mic handling?
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@David-Healey All my samples are dual mono so I have two mics in one sample.
Im using the multi mic setup in the samplers such that, for example,
multi mic 1 is mono1+2 = kick in and out,
multi mic 2 is mono3+4 = kick sub and snare top
and so on..
Which gives me 7 multi channels for close mics and 6 multi channels for ambience mics.
I have the different polyphony groups for different voice amount settings. -
@Alexandar-mller said in Pan and width Issue:
All my samples are dual mono so I have two mics in one sample.
You might be able to simplify the setup in HISE if you split these to separate files.
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@David-Healey Yes, but I have way too many samples and too little time for the extra work.
Thank you for all your help here, on your bootcamp and youtube - I've leant a lot :)
It's my first time coding and working with HISE, and it's such a big project, so you've been a great help. -
@Alexandar-mller said in Pan and width Issue:
Yes, but I have way too many samples and too little time for the extra work.
ChatGPT can give you an ffmpeg or sox script that will split all the samples in seconds. A little extra work now could save you a ton of time.