<snapdata remixID="8703054"><project name="00-irisxl-nn" app="Snap! 5.1, http://snap.berkeley.edu" version="1"><notes>Deep Learning is based on 2  methods :&#xD;1 - Neural Network&#xD;2 -Convolution&#xD;&#xD;Both of them are based on Vector algebra (math dealing with vectors and matrices).&#xD;&#xD;Snap! is ideally made for this kind of math:&#xD;1 - first-class architecture&#xD;2 - JavaScript extensions&#xD;3 - powerful Fmap blocks.&#xD;4 -JIT compiler (to be set)&#xD;&#xD;Present appli is based on the well-known Iris dataset Neural Network example largely documented on Internet. &#xD;&#xD;I shall propose later on several examples of NN applied to different cases.</notes><thumbnail>data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAgAElEQVR4Xuy9eZQdd3nm/6m96u739u29W1Jrtzbv2JaNF2wcG8ySEMISwgTDQNgCIYH5QQITEuIBjIewhcAADhkTGIcY24DZDHjDlrzItixrV7davXfffau9as63ZDzJZH4x50z0xxjVOTrq27duSffWc9/v+z7v8z5fKY7jmNPHKfkE1mxPISsKqq5SGjAZnxihVZeozrWZO7qAosjEmkekOgRRjO+BH0AmCyOr8qRLMqpi0nMcUhmT4fHB5AQ/DogiAy3QeOh7EVHgYxqDbNw2gFHeS0iX0C1iOz0C5gnjFOlUgVCuoxkmmfQoJ46fwK43WDjWwYizoEmMrx3C6AerECPJNlG1wKE9MmFXg8BgYLhCUa4SZ1W8TkzaKpBda2CuifBjD8mXaCw7eI2YXjdEKygMDPRjZAwkWaLb61JbqNKo29QrXU7sspFOA/CUYC+56PAmFUVR0E2d0oDF+MQw3Y5EbbbDzOQzAFQ9YtUnRoZYJSbAtBSGRvNkShJBIGG7Loal0T/ch4aEF/vEkUFOy3Hfdzx6bZdScTVaqsc5l0KzN0O3A3bHJaBBGOXoH7QI6GBYAelsHycml+hWYfGIi6EYGFmVwVVF0v0qWiYijHqElRyH9kiEXQlC8yQAjQ6kFfxOTMY8CUBjTUAYuxDE9JohbiOm2wvQsxrFYh4zm0KSY3p2j/pCm5XlFiuLTRYeC04D8NTBD0qrJRQVUhnrWQDabkxtrsPM0SVUWSLWXIE7ZFVHVXRUVUHRQvoHMuQHNDTVotXpoOoyhXKOyPXxYz+JgHktx2M/0eg2wXdVFMNm51UF2v4RPN+hUw/wI5coKLB6s4LvWRhykUzJZerEMboVjYVjXXRDojhgURxKke9PIekxnuvgr+Q4uMfHki0IdfqHapg0iDMKQRtyRp5cEgF9fBzwQ0JPotP2cboBummSyaRI5TNIEnTtLo1Fh4W5KovzTVaeiE8D8FQCcPQMHd8PMCydwdEs5aEioSRRnW1x4sgimqYgGyFqWiVlZchmi1iWTjZnks4qKEZIHCn4YYjr28g6yU2OVQEQBSs2efLnFm5TYXh4NfNLJzj7wkG60VOgtFhZcHH9Hpa5iokzQlT/MobMywizD/LU5F3YzZiF6UVyfWkKgymKfQbpvEmEgtMLac+YHN3Xw1I0RgbXgHwIiQ5yWkF2dTJymtLGNNKgjY9NlIA9IooUnE5I6CukUhZm1sIwddrdFs1Fl6XFBvVKh5ldpyPgqcQf687K4gcBYnUVAOwfLhFrJDng9JEFVFWiNJBhcKyP/qFhstk8qqLgB138wEbTZXpdD9f3/48ApBfzxM9MUlIJVdXp2S6Ffo3iSI2ABZr1mHZ3mZQ1yOaz8gyo/5lcvIpu6hvsPX4rvaZKo1qnMJyhNJim2KcjqTH1movXlWjPZVicDinn0/SXRvHCp0FyUNIqsqORV7LkVmtE/V4CQD+yCUIPVTFw3YiwraNqCkbaJJNN4XgOvZrL4kKdwJV44vvLpyPgqUTglguLBL5PEIeUR/KUBotopkxloc7CiSprVo2wbtMYpYFCUhyEHjh+jyjw8IIePc/FtX2IoON0UE2FOI5QNQnXkYnbJo/8qANuhm07zmRubpYNm1fh+HMs1SYxUzEdfxliiU2btjIm34ipKizKH2HF2c/SfA/XtukbKlAa0skUFXxXobpgJ9GxNZfDdyJWDW9AkWKCaIogbkJOx+haFOI05uqYuBzhhDZR7NBz21jpNIEb0atJyLKGnk6Rz1vEcoDbCKlWm8iSwj3/feo0AE8lADdfUCBwPWRNojCcpzCYJ2WC0/XJpPOMjgwyNJgnjEN8X1TBEp1OF9tuE8Qe1U4Nu+UQ+iEBAZlSOilqDEvBsyU68waP3j3D2OAZFMsFqittMtYqNqzfwuYtq9h7cBdHl75Hp2Nz8QUXk22+nyAKsfv+nNnGAZqtNr5vUyoVyJVljIyJ01HoLIlI5VBf0CgP+qwbOwddU1hamaXdqRDnM6R6KcxmRH6bRVAKcZwekeRje6LQMQi8gG49IAp0zEyedFbDTMf4LQXbtlFUiTs/t/80AE8lANdsPwnAdN6iOGqRH7QoFQzKxX4GB0cwdQM5DnFDh2qlxeJCk5XlKp7nkc7pdMMWTtsn8iT0jIKV15OcSuSUbi+iNSfx+D3HueDcKzk2eYDQHuKaF36Ues3h4zddy02ffID7D32ApdocF1+ynjXaJ6lVO0SDX2LR3k2z3UyAkitKpHMZZC2N3fXoLLfo1lzcSpnxkU0M5l9AKlthcv4u/ChEyqXI9EycmRqjlw6iDug4jkMYR9h+Fz+0kYjp1j08RyaVK6GoEbmijuTphGGAYWjc8rFHTwPwVAJw8/nDtOs9SgN5Uv0x5XGLwf4s4yOjlEp9yIhIFnJidpbDhydZnK/huRHZXIpSf45eVKfXAF2xcKIWpaEMmUwGzdCxOz7VaYeCPMLClIsc59mx8XeQ3bPwfBs72IccjCH1Pc2eqU9xzjnnsT77YZZmwc/fxgp3EhFQW+mQznuk0n1IaoZup0lz3qM1l+L8ibdjqZuIO6uw5XuYb30Nsk3UXIpCz8JfarDqxWM4KR85Vun23OTL5PqNkwWJK9FrS6CaWCkdK6OgKRqGoaNpKl/74K7TADyVALzo2tUsz7VJZTL0r0nRN2ZQzKcYGx6iWCzSbjgszFZ49LF9LC/VTnKGuk42b1DqT+Pi0KpEBA5kShpKyiWdTmGlMnjidxTxaiFb153F3l0KfeZ1GFoB263j+TVmpxr0rZGYdP+E9ROX4sy9hInhC1l278Qr/2OSr9WWPMx0Dys9hKQphGGXypESq3OvZiL7Unq9KpEvcWLlO3SCnxKVeuRKOVJVCbXTo/9FA9iahxybdDo+TiCqdRvPbxI70OvKhLGJaWmkMgJ8J9+jpkt87T89dhqApxKAL3nDRo4fqSDJJmu3DVMa1cmmDNIpE01VadU99u05xtxcg1q9QT6fwUor5PM6xYE0oSwKgh5f+dLf89Z3/R7pooQkQy7XRxTAJWdfyb13/ZS+IkjtV9A8cQGpTEQ6nSHwBMVSJT1cZ176GCND5zO/bycbxs+hLe0mGP5qUlnXl0JUw8FKl5EMB991aBzawYvPugG3kodIwfN67DnyYeTc3cS5Ev0DZdR5ByMKKV3ax5JTQw0FAGMkLSJTjOn1KsReTK8j44k80NJJZdTk/em6lkTAr77/NABPJf547R9u49CBJRQtw8bNYwyvziDRw3Y12u0ulbkqhjvCO9/xYW677Tb+w1texdvfcT3vec97WK4ucN21v8PvXv9K7vzHn/O5L91At9dh0/o1rF6zja/c8klecfn7+Ydb/oK+zDiD+p+wMmsSUqNYGMNnnsXFOmNrAqr+LeBcx4kpHb+isf2FQ3T6/gLbhuW5BmrKJ1fWsbIhjakRLhz8c3R7A17cY6UeIqfneHLqPWTMmEjvMja2AXmmSS3nYm6wiDwXz1GQQysBYKoUEKldgp5PrxvjOiGmqZPOqJimia6bqKrKV//T6RzwlALwjR/Ywtxcl1S6xPiaAfJ9OnHssLJis7i4Qn2xQb+5mV27f8HQ6DCakmFpeZ5P//UN3H3PHVSqLsuVaT7/2a/ztj/4PTZt3oCRkugrjzG7cIirL/p9vvLFv2JV5o0EjcsgsiiWY2oVh2xeZe/efWxYN4Ej30dleZCek0LzdYbX5okKj9KUb2VpvoGeNcj3h2S0NWR7r6Xon0cxXWJ2oUq9ZdMMd9OT/p6MESGZHn1DY5hVh3rGIR6QcLsdfFtGCdMohkxuSEE2HUK3R6/rE4Uymiaj6Sq6lkLTRIfH4GsffOT0EnwqEfiGD64hDFKYqSJ9/UWslEK316RacalUa3SrPYay2/nRT37E6olRyoWN7Nu3jz//y/fwg5/8Dzpt0cCv8oXP3sJ7/uit3Hbrbbz5XW+k3e2xbv0EO896MT++4/vEC69HjVZjplSq9ePkc2WiKEaRI9aPXUyoTLL78b00BVXSDbBSJfpHCtT1z7Dc+wWaOczgKpuC/zKM6tvQAglFbrFSjVhszNCMvktx+ABpMyDGJT3YT9mDOaVJlAOn2cazFULbwMwYFIcN9FyIFLXpdm1kWUFCRpJkFNlCUXRMw+LmDz18GoCnEoBv/avNqFoeXc+hm1ZCIrc7KzRaId2uQ2OxyYB1Bv/l4x/jEzd+mvf+4ft52ctfyldv/hyP772PF116HW97x5u44S+/yB3f/R/84Tvew823/jeuuPIyntp7kKxh8a2v/hBt+XoK+TSKnKKyskL/UJZ200FRHMaKl+EGK/SNK/z45z8jcFyKuRGKuY3EhUeYiz6Dns8zNOJT7r4Db/oa/HCWXC5PteZyorKXRf9LrF7r0peXEmBr5Syr0mn21Y8jZVXCRg+7I9GrgpGxKI9lyJRlFKWD43ZIWkGxkrToRONbltRkGf7Gn+85DcBTCcC3fWIrmVQf6Ww/gR9TbbRotmbxA5MwiGksNclEqzl45DDLtUVMSyWbDxJieHCohK6maDaXcXppgqCLphlYRQ0zq2JofUhhi7g+gjz7Tjq9Gcr5HSzO2ZSHQ9JWEUOzwZ5geKSPLkdodmP2PPEApbyCEZ2DlrXxh/4JO7uLkYEMxeof0ZvZhBtPkja2cPT4NIExzazzCcZW6RTSIbVKg6CosrGvxHG/ipY2COo9Oo2QxmKAahgMT5QoDOmouuiO2ISh6GlrxKFBFEUoipZwnbffeOg0AE8lAK//y80MDQ2j6Wl6PYnFpRaN2hySqieAjLoKlRNtVlYqBHhYaQ1JdRkcK9JXzpDOZBJlSU+Q0Zxc/lRDJ1NIkc7msBs+Tl3HP/Jqvn3n+3nwnsPIUoYwCjEyNrqfIa2nUWKJrefn+MVDTf7kvZ9PCoFcaiKJRkahQu7C75DJGLj73obaHcR3G3h+xNHpKfomAqa9D5Mz+hgdUnBUB9nUGBkaYnL2OIqq0m3ZOK2Q5RNNdN1gYHWZkdV9qJZHENeFggLPBVXJJaoYAchOu8ddn5k+DcBTDcByuYyqpbBthYXFFt3mCgi+LQC3HibSrHq9RhD7mKJpn9foG0pTKFqYKSshph07AkKi2COWYhRLRtU1/JaE3zVoPfFSMsomMukc1WoL0zTIFiLUIEW5sJr+3DguVQrlYW77/ueTIkCKisRBiv5hk6HLdhPrewn2/xlOo03eHManw0qzSzW+nZr038laOUbK/fhml1Q2Q6FY5PiJ6YS7dBwPvwfVhU4iKSuPFBkYzaGlQoKoQYyH58aoSiapfn8JwO99+nQv+FTiDxEB8/n8swBcXGpjt+tIukwQxDhVl9ZyL1FGh0SYqRSy5pPrM8hkdcyUSRSKiBEjdOtCvK7ooYgnSUusW/GJXYveVBGldj2pTEyz2UJWYgwtw3lnbYCgQKcisXpjH7VWh4cfvztR2TRrEoYyDFKENnGQzTt3037kgygso7MRT1qkGQR42b+h0r6XdFphqLiVrrxMviQKqhSTx6cSQLmBR+wptFc8ZFlNNIXFwQxmCoKoSxR5eF6AqlgYQnTxTAS886ZjpyPgqUSgAGA6nUZRLXzfoFpz6DQqyIZQtcTEXXAafhLdZFVD1lRUXcJIy4lIVChnIE5umKGniSOZULJxIxsvDGgturhtGbNXguXrkaMBQELXVaJQY2JVnl4jhRaWKY+p7N2/Dyc+TtdepteFjLGefK6PINNgaOvtpKvvpd2axuuOg1VhxT5Gduwb1FamKPUplHIbaCoVcqUCqqYxtzCPJEnESgS+QrviI6sq2ZKFlVcxDejZbcLQT75kqqqh66IYE5J9h9tvPHIagKcSgG+9YWtyo0wrh+/rSVXZaVSRDZkoCjFjg6gn/gcxiqYmIESOkfUIWYmQtQgkH1kop0MDVUnhhf8LgI35Lm5bI+1bHNjjsbb0PrqdHqNjIwRhl4KVo76kMta/iZZ/lNnlGRyvh5np0W7ZBE4fg/1rCA2ZDWcdQm6didNQ6DkW3XCOhd4POGPrNEvTUxRKCoVygYrWoX9oMNE5VmtVkqROj5N2XafiJrrETF8KK6cQBy627eC6TlJgpVKCgDafBeAdnzp6GoCnFIAf3w6ylAwEBb5GrebQbtWTdpquyaiSAZ5CFAZIsoymGMRxAGpEpLgJ6RyjJ3MhocihkJDUFEGo4LFCpxbhtHTkXsDxI4dJea8jI12Oke+SMi0sSSXujOI5KnFqhpa7hK6Z2N4yS4vLFHMTyOQoD46RKdboyw8xJwoJLcNyY5bBMx7Ga92PU41Jl2yywwWqZpuRkVEarSYdEUYlMXYgEbgx7bqbfJy5Ypp03sD3HGxH9IVt0mmLVNpAVgyiMMJxfb57OgKeSvjBWz95FmHkY5m5JIK1myGNToXQd0lbZsKNhb6c5HeqpGLKBrFQn2oRkephmBKRbOB5IfgRsiPTlebQvRdRLmxnqXEPTjiN7OXpVBvUjhcw2m8iU26jqyUkx8fvDiDrHQK5h+0LJXKQLO+e51Kr2IyPbkVVLZBChobLLC4u4Ng+Ha/FxHkP0ll5gKieRy1XyA2P0st2GB0dZbmyQhBFQuuKHIItXtO2kwInl0uRSpv0ej16bg+RtYrfaaaGLOv4XkAQhHz/U6eX4FOKwD/41Pm4joOmmciShdOLafYqOD0BEAVF1okCOeHINMnAkHRkVToJQMVHNxQiNcAPWmD3Izc3YQfz6GqedYPXU20eJrLupUeHQtrix7c+jtG+lv7iKnKZIZpVoU7x2XjuCpMHBdgtLFmj26vjB0JtLWNoJQZHBgjCmKGhcWZn5pPPZLl1nOL675OOVghaMmpfi+zoID2z+ywAFU1LAOjbPWzbpdN2SaWEWkcQzVry2PZsZDUml0+jmSoICZorABjww09Pnl6CTyUC/+DGnbiuqHK1pAJ07ZiVxiLddpO+Yp44EJEIFMlCk3UMDGRxj/QomZaTFaGDVohxcJY3Esy8hKFSlkie5qmn9/Nb13yYfUd+wPAL9qFqdb715Tsw7O2MpF6TSLZmZueRsh3KW+7BWd6O7pyJ7MZUawsoapxwjMX8GOmigWkW0OQSK8t1CiWT+eoegsI3ySNhqWCK/m7RwNc91m9Yz+KyEFloSIqc9IIbjSZxdHIMVeR7QnRqd8MEgFZGqGE0rEwqAZ4AoO/73P25E6cBeCoB+PYbL8P1uifpE7GUurBSq9GqV8hl0xhaCqKTy5ImaxiSgSRFIKbfdIdY8gmiNF5QIyedjzf124yXTPRoA4eO38/M9FFMc5B1O2F0VcQtf/dfMZSIPG8jlZE4MXOA7FiEufpHDGcvYGb3dopGH0vLM8hiPsOJ6C+vohfYjI1tolFREoD40RK29DRx8U7yYT+qVsMazCD1yYi0dXx8nJVqJdE5isF7t9ejUW8nE3wnSyo/kd132g5+5FPqL2CaKlbGIggFKX0agKcSd89e+x2felECQPFtV2QtueHVapfK8gLptEkhV0qcDxRFTXJAsQQjxckSjO4ThoJHS4E2R0oeY2nfWZxhvQHD7CWks2Z1iIMyvWCAldpTNHr38+ThL6OHbyCd9VhZPMzojjTq0C7kAHoHXg11C133aXZr2F2XlFlmeGINhtrPzHEHJJdQWaDLw2j995MPxpC1eayBPPRJ6JbOQHmQWr2VVPciuiuxSqPuEsUhYexju8snyfUgAiWmUMonUfEkAN2EE0wi4GdnTkfAU4nEd990RTIX7ARh8qFHxLRmOlTry8lgUSafJyV4Qkws00SMv4WhiyRHSfUcyVHC6YkxR5FDqnIGY+ZNDKXXs3HNWlYa07iEZAwJKUglYP38La8lY5yPokQszR9h22/UkXMter0GSm8zzb3rSdsRs0GVsNXGSKcZXnUVkaPRXpGx+hpMLc5hrLoL2ZwjJ5sYsU6qXELJ58io6xgsrganSNQu4nWsZB6k66VocBCKj+HIu2k0egRRkEzy5YtpsjkDWZOJJRdPDNf7IXd/dv40AE8lAP/g45ckxLAXxbiu6OfGtGe7tHt1QskjXyiQSucwVCsBoKiAXddOqDXBB4rZD90QMibQVCHkzKA5Qxx52CLl7kAJRPWqQbxCITdGX2k95VWL/P3Xv5PI7FcWalzwkhF66T2sdJZI5SL8PTuIpgdZUmZJx1nC9AqBcymDuQm6rQpdt43NEnH5NvR4lE0jZ7F17aXI2ihObGHaovfbI/JimpUmUiQT6So1r0FDXoaJz9FodfBclSjuJfrAfClNNmsg60pi+fHLJfinn1s6DcBTCcDr/+IF6JqBF8fJciQA6NVDGq0VvLCXtN4y2TwZM5P0b4VSRFAXIpEXGjrhKaMbJF4xosUVhRKO5xJ2hqhNS4SNNHFrGDVYhaKaFIqiVdfhiccnyeVMqtVHOev8VyIPHmbSvRkllWOouZml+8aYcvbRrXlc8boxOrX1HL6vyMTYMHOLx/HpculvbCQrbaCYzVHMFdBFXzqK0HwzEVI43ZClxUU67TqVZo8V7zDy6BO4+V0s1maRY0E9uegpmUJfjkzWACXCD3qJEsb3Qn7+hcppAJ5KAL7hz84ilUoTiCHFWEoAGHWg0a7gBh0UXcM0MqQtC8syiCMpWZpUkVcl1aSWDO8Egf+M20BMpytyrBa+X8Uki+VuJeoO4/Yy4OtoDBDL06zMV5if3cNZ51yCoV9AJ38nvdQjrLW2se+fAppGB1X2GL24TeyWWd59NW6jQzqtc9HOSykWV5PLu2iqjoywGAlRNQNbmScOhVdMmjiWeXLvbiqdKXrqQfp37GWlJrFc20fsaye7PUKg2pfBSmnEcpgAUKwGIge85wv10wA8lQD8nQ9sIZ8vEMlCiHlScKD4KkHk0enViCQS/k1VJLJi3FI1kFBQVdF2U1HUkDgW+WMIkUGnHeA5TdxIxpXamHqEGeQx5X4KmSFMQ0VzdlCpP8bBx2s0ZxtkrTKjfb9FYZWMN/APGFKGEz9dpqmm8DnOyKUemWgD87vOZG7qCVKs5fff8rsoSiGJVLYrRASiGxMR+WFSBauKGJDX8KImD+z6Pm7/46w6U0gkGnTdBRpzEc16I3FCsITcv3iSG4wVAUD72RzwZ5+rngbgqQTgS989QbHch2VZhFGEH0VYKAl3ZgufFNsmiCMU1cAwTuaBqiL0w0LALqNGCr1eF88RcxUqkR/TUw06vWUMLSRnWqS0At2WUCtnkOpN1LqMLat85BNf5sY/+QoPfP8gF1zxRuZWumzfOIajdameeJTj1SOUL1yhoz7JUO11TO3xaNZFZA15/avfR6Oik8qLKC2jmTFubCO+R71ugzjVYtF+ihV3H7FeIZWC/lIe2ZdwQ49q2+Xw5DE0DdLZVCKwFXnsyZadQ+C7icDih59dPA3AUwnAl793I4ZlkcqkT6pGZAlLVpP8znYduo6duAkYZiqhYnRVdHshDgIiwcGEwcl8yw6T/E9oCM1QSwa/LT0kpWcw1Bxpc5h2t01JktBthzCrc/Pt97I5fym6Pc51r/5jJme7PL3rKUbHt7F5XZ3iyBg/mPwgIQqNxyxyVszkkTY7X/AySgMhtn+QanWRdneJ/iED3RJSK5fecCtJKWrtJl3XQzEM0hkryRXTqonnh3Rtl6MnpggiP7Fny+eFEPVkz5hAdEF8gsDj+5+ePQ3AUwnA3/2z85NlVkQ8oZsTnQNL05FlOSkmOr1ekheK9lUS9WLRlovwbS/x9wuDXqJaFjQNQpAQBBQqXTqdOuX+EpVqO1kOe06bWM6xfd0VCW3StBa5/f77ae8/m7/6//4ry22Nn933CHMHp7jgnGvp1J7k8pdeRc8M+MLnPsZIvkGzMUPgGlx2+eUs1R8gVajQrjlowotGkRkq92MZOsc6R2n2bDxBWZYMKOgomkzatOjL9xGKAsP3mZ6ZoWV3EwBmnvkCCgCqschz/aRHfseNp1txpxJ/vPoDZ6GZBkEoEviTABQ3SnB8tuPQc+wEnAoRKVOAUPjqiRnbkGazQtqUiT2ZjGRhCclW7LBOy7HvwH76hlYRSzqhZNDtBGQH+phfWCYVZVlsKjjGOK+98iPEbY8js7McmjxKa3aOmcoBrjz3NdjuKl7xpgsIe8f48J++nsGhATJ5m+G1Dtu3bOfElIumqNhujeryJFHYolqdI9cxyJfLGOU84aBGK+tgZHWRGKJZIneViUKfeq3OYr2eAPCXFb4YTlfFF0qREonWrX/19OkIeCoR+JJ3bkwAKDSBIgKKeQ5DFdWglIBPABNFppixEmAqoUan41BbaWD3uqQNmaKcw55ZYOtokdheYXjVWjp2SMdTmF6ss3rdRq664vVUbZen9z/FoUeeotLu0RPOqtMR3eUum7ZeyMFD82Q8i8WghRwuMTbyai698jLG+pf5+CffTabPYMfZ/UxsGKBRCWm3XeYa99Dq9DAMoW7JI8kKlrzEwsEGZ6/bRL1Vxdd7DJ+5BUeTkXI6gRqjSNBut1lqiBmRk8IEQTEJAFqqGMuUcV2Xf/jo46cBeCoBePVbJpBVBSuXRTH05AaqspaMZwo5lIgE4lg10k8+k0GKJDoth+X5Gr2WjYiJA4ZFv6bi11dI6RL5tf1MnqixUu1RHBhD1cv81m+9HvQyU5MxbrPLTZ/5fUqjDsvHVaJuinYzg6VNkIpLHLePYMljGCmZIGyxupTDjVZo+zO88PLttBpuMkReax3HHErhyx5aRiaIu4SRS2F4gPbhgG3F9biLh3FaU/TSGnXHZXBiNXq5QFPMgCgxlXpNKP6TqJh4X6d08mYBWRK+1w63/Pkzzgi7d+9OPoiBASHp/rcPYSzjuy494YL9bx2S8EYWQzJV6vU6V155ZZKI/jodV/3+aAI8K5tDtUx8ofsT6hYhxw8DNAHAOGLN6AjlvgKqLNNudqgsNmmu2EyUVrF19SBZWeLwkcN0OvRjKisAACAASURBVC5xzqGy7JHJF5LHQwM7ePFVr6Ju29x73wnsVoHjR/4JWXmUTsNifq6Lpa2muiwhkWfZXiZj9SMFKqo2RTYVY2X7WbM+R+gtousKle4CctpDLqUI9YCccOrqttEkiWy+gNYe5wVrL2D/rtsZH1CYn5nknDPP4am9TxPn0hyoLbDmvK1Mt5bxHFfU/QknKNQwBSObUFJCrPDNj+9Buvfee+PBwcFfGRfVJ37C6C/+CxlNzCv8G4cE2XfdzpSbSU46dOgQL3/5y3/lf+f5cOJ179qQ5EayMB8XnQ6kxI8vMSIXMvvATwA4OtjP0GA/lmng9fzEQb5dCbjqzGvIWAozR58Wg3QcPHgAKavR60isXruaVqfBls0XY+rjTM8v49hrWTiiY8gPceTIZ4kdi55nEasDVGrQdRSabZ/BARmnVqI8epy+viyTizEj/WAElSQ9qCptMqvNxKUr0l2MtEGvHaAJ6w9lKxvHLiSjKNRXdlFb3sfGoRHCno0UBVRaTeKsyZzTpN2vUO80CcLkbZJL5UipVuKQ0OvZ3PbpvUg/+MEPYqFw/efHV77yFd7ylrf8HzHw5Gf/I68snRQtisN6x22Ek7tRt1yN/YWXE7vd//Xc27/N/raVPG40GrzwhS98PuDqV34Pr/nweUmeF0YQJVNtUpILCtGBENsLi6vQ98ikUqxZs4pCNovvRdRXOvSqCi/a+jt0OjWa9TkMzaPbXmFmqUa5vCqx1dWFYjrIs3r1Gex7epGZSZ0UaY7s/SK+/UDiGZgpjRIoJZ6eWibfN05KU7Db+4laIxRGZ/DR6Dir8O1pRksqLd9lRe0yuLFEPi9cUyU8H3o1g7Q0Tj44h7GBtRw9uovXvPZs7vzu1+hL5xgQPCB+UtHbHkg5i92LjzHfWBAGW0k3RQsN0kYqyQeFZccPv3zwZAQUk1vi+NM//dOEIjj77LMTI0Sh+1q/fn1CGoo/4rwDf/vOfwHA1Ht/RO8z12K97X/g3vERooUD/wKAT1RPasTEce655/7KN+/5cOJv/tk5yecmRivjBIFSoofLZNOkRLRzenTarYR0HhoeoL/Uh2Wk6DQ8vLrFutRvMLpmmKXKJM3GJDkroNULWLd2BweOHOCMbZtYWfYoFQfYdV8DTernwL6/5YyRGpXZObRimXRhkCMzNd7zJx/mwNEZ9j78Q5ZnDqB6aSKtzsETXYZyG9AzLch4tKOQ0IzJC7PzQSOZ0JMpsnDIojNXpmSs46ILLkLTFpGkQ8wvHKTd7LJu/ZpEwT0+vo71E+fws/vu46mle6lLVWpuNal+jdBEkURBAt1ul/tumUL65je/Ga9evTrJSx544AFyuVyi6//ud7/LBz7wAUZGRpLnOp1O8ufY1/7oXwDQ+M0bcL/zIazr/x775t8/GWt/GR3f/m0eXgiTR8vLy7ziFa94PuDqV34PL/vQ2QklEYuPQOAvFENFUdIZMXSRDcLS0iKucLcv5hgdHiZjFXB6HmGjj52r3sIjTz3MQmWSV/3mJSzP78MJY1at2oQiq2TyGexuhuPHV5g+MMry7CQjq25lJNWmvVhgIapi+xL5vjHu/vluXnDRxVjxCsvHqwROFdQc+ydttq0ZwzNXWNbq+LpOPmOiaz1K4/nEGrhbT5O2L+bonjghw8vFNKlUhTe+4UKeenIXbidMetZrN69j27YLufG/3MzmLVuxRuvcd/AuVpwlFEKMII2hp5KhJBEB773lKNKhQ4fi+fmT852/ylE8ehdrD3/zVzmV8K138MRsKzlXXP/SSy/9lV73fDnp2vedhSSL9ShIhAaieS+6CZaZxjQtfCFparZx2m0yeYtcX46stR7fmyJe2om0uJ3+gTS200GzGqzZCNlijlUjmWQgveP6jK9+CX91463UJgOy0V3sPL+BqZT54d2Ps3ZLH6s3b2Bu0SMKVFKZgK1Dae5+aDJxu4/tHIutKrlNeXylR6vVwg+EmTgUyiGlUgZUUUmvZ8fwH/LjO+4kmxkkX4xYs96iVBTzzA7NFZ+BwTyHjh6hXc+wuOBx5Yuv4YkD99PNfZ9ao4MTz2MEm1F1J1llBQ1z980HTtIw3/zmNxPeRnwz/70PsQStW7fu1y7/E5/jS953LpIilMJ2Qr2I6beUbpKy0hiGQbcr1MEeXtfGEMM8eRVJ7NsWLmG0Xoo7s5oDB/dz1ZVX07GnOe/iAcKow8REAUMtE5DnphsfoF2T2LJphu78vWwdG6fZnKYwkENKl+nFwoR8Hfffu5vzzt+I5CwwNdXB687hi39rXZlm0EyqXLGPh+/pGGnpJABzYlhugurkVhqzKikpkwwhTawrkMp12XnRRmqNWXptOxGdmmaRxVmDpSWferXF7PIsuU0PUWnO48RLGNE4hinGE2Qc1+UnXz2I9MADD8SFgmgW/68IKJbcf/547q+u4KIx43/DZtK1/Fd4NT52jMOHDyevv/322/nQhz70743p/2eu97IPnEssnAy8VqJqERSWMPkR5kACgK5ox3U6yIGEqmTRc0Eiw/fsGuPqO9n9oxOUyyNMTy6iWT3e98FXsLw0xeBohjDMo2klvvTXu9iyVgx9/4BH7/05111+HY43ieMqaKVBjEKOds9g/9NH2bJ1nJXlpzlxsEFoV1i9aQPLw9B1QyLPS3q4wsHBSCsUij7FtIThXsbi/m3JDkli/xDxhTr/BRs5+/xxGrWpBIDj4wOJV0y3leLIwRDL6OfAocMMD6/jqdoncKVpvKiDqeST2RBhzytmT777hX1IN9xwQ3zNNdckgLn//vuTvO/GG2/k/e9/Pw8++GDye1Fk7BjQnr3x5vVfJ+5UcG/9438FBv0vj/L0008nr5ubm+OlL33p/zOA+ff+j77iQ9uSXY8cp4skKWQzBfJm3zMeyWJHJAHANnghpj6EZLrJkK3sqXSP/SZLk7VkU8KVpQ4j4wZve88V7N23h+07dvDEY1OsXzPIY/ccYnDwaTqtw5y7fTvf+satDJXFfiMG42ds4PxLL+arf3cngS+zceMgreUjqMoQoTtHoyORO2cUJWsk+3yIDWSq1YBcwSJXismoeewT59FbmmBl5TgXXXwFKQtsZxlZq3PZpWcyfeIwQeBQKg+x78k21cUs0zML1BrzbFr/Aqx1P2WucS9eoJI2Tk7MiRpD9IMTGuYLX/hCLKpTARgBuG3btrG4uMjExATbt2/n4MGDBF98xb8AILqF8cqP/R8BqP3FEZ544onkek899RRvfvOb/73v6/8z13vFn62l1+skVbCEQTbTRzldStpTwiBIALPTbRP0XPLZ9fiKcBrw0YI+7COvp1FdZnmxTb1ms25zmre86yIe27OXs8+8mIOPz5PTjvPUL+7iN1+/mq985XusWp1laEjFbpwken05xcSWTfzs3qcw9Cy1+jQ5X+bRg3NcsHOUY/s7jJ9RYu3OdWgZlcWFGrNzbTRDxky7pPUtHH+oHzUwUOQyXuywdcsmKpUprnvFTnqdeSTFR5I1Vo2dwX33zHDHt/fwu298HQ88dBeRn2bgrEdphA/iu0VSpnBnPcmKCOX3HZ89gHTkyJF4YWHh37yp2s2vYVu/4K+e+1A/ephHHnkkOVEUN695zWue+0XP0zOu/SORs4mZDVNsh0k2m6FoigoyJSyHkqgj9H7CbT5ljhMbctI16tO3MXX/y7E7iywsrVAezrPtvCHOvmAVTz60h9pSi0Coot1JUuLy8iSDw2Ve/fqNPLJ7L1bK5R/+bj+//foXcu/PDrH9zK3UqjX8sMZZm1clPel77n2EjesuZHCknz2PHWVk4yi9VJXjK8doNNxkK1a5tZr6iR1EcQcpzgMm5f4iRspjy7YRVmqTjI33c/jgIYb6N/PTu55mw5oLmT4+i2nF+OoJxrZ3mPW+TNTbQCYdI6nCFweajSZ3f+0Ze7a//du/ZcOGDc9Wq/98D2sRyUQk7O/vf06YiIRaUDni9XfeeWdCuwjyWYTcX8fjN/5wINlWVWzTINSc2axF0cz+KwBm1XyyjVUQp2nVXfr8/8ixJ1QW55dQdRMUn5FVGYpDGicOHaS/T8fUdBorDS7ZuZV29wSPPHoXm7blmZp8mpe85AqOHJ4G1eXvv3o/b3/H6zh27BiR1GBpdpFmV2HrlnUsLcD5F56DLpW543v7KKwqsuHiOieWHqaYWs/0oxPY1Y3J+KdrK5x91rnsP3CYC3bu4Be7vs8qYUQ5OoBnw/qJs/jK39zGmVt3Mj8zT89usumsAaK+n1KLf4Lv5DE0Nfksokii2WjwwDefGUy/44472LJly3NixLSX+OEHX0la/7cpm1zG5PxP7KLVFZYNNmecccavJQhf+YG1RJGO48WJTfJJAOb+dQTUsuh6lGxsWJCupnHglRw4+CiSsCOSdcLIo9iXot5YYNvWHIvHI3zPZcMmk6GhDF/47Jf5xq038OE/+0/c9Pk3Mzdpc/MtN3LtS17Mt2/9Ode97EVUq3VWKsc5OnWCK198LscnA+Zn0qgU6e8fZGnBpNoMGd1SJzO2l1qtzszuy9GlNcj6MgP9q1munMDQ+/CCFtt2rEuKj5mZGQZKa7nzjp+Cb9DfN0RtZYlzzz+bIzP7KGy7HUeeS6K9FKVQpOwzEbDFo7c/I0j9ZdEgEPjL6PfLKli0TQSVIqLY0ze8jGtHfaTswEnC2beJBfxjYd+fIxaG1M8Q0dEf3c9s7aQrwIkTJ7j22mufE+DPtxP+w8cuIAhk6q12MgciBnNyaibpKIklWOwX3GjUcaMeaXUCJfDId9/L3JEsBw8fJlZ8xkZGk80LFTHgnUsxWM5ywYVbuO2fvs/+p6YoljVSBZmXv3w7l73wYu76yU0szM2zacsou3Y9QK3i88rfupJfPLCLoZEirZpM/3CKs866mC9/6btccdm1fPs7T7K8XKc/vx4pLrJtZ0ilu5vO9JWJGntoVKOUX0uuGPLgg09x1YsvY9fu+zn3nHOT+ZX5E00OH5qir1BK5PaaKlOt1TD7a+S33krD7hLhg5siDoQ7FgkIH/rHZwwqH3/88eTei9L4DW94Ax/5yEe46aab+OIXv8g73/lOPve5zyXUwdxfv4rLhwLS//lJ/Ae/jrrlKuwvvSbp/6Y+cB/2Z64ldtonr/Wee5laaiQ/r6yscPXVVz/f8PWc7+ddf/0beH7M7ML8MwBU0YQKRVGxUkYCQNvusdhewoqHGZFfRf3wRpaX29QbfmJkmUkptFsVLEslnxb79hY4fqzJug0jSHqXqWPLLDeOMzTQx2+8dJzR8RR3/+wfGBwos3bdIPff+ygve+Wl/OOtt7Fh4xrO2bGFQp/CJz75DS447yo2rDubO37Y4umnDqJHCqsHz6YXLTO+MY3bHGBm9hiZnILfG8AJFrjmmuv48U/uolgssLLcYHRkLaPDYzz44C8Y7O+j1Wgkqh4xzLTqnGna2a8nQ1SeY+J3FeHFmTjti774o9+ZO0lE/1KOJaRTGzduTIqHbDabsNWiWhGclWiir/zN6xIAWu+8HZwO4fRjJ4F45nXo13wA74c34j/09eTGeO/+OUfmKsnPs7OzvOpVr3rOG/Z8O0EAUAgR5pcW6dqdxLIscn2EBWDKSGGlhUTLpW5X8Vb6uaD011RnA47PzFJp2hSKfbSbVdavH6KyPEvoyciSnlSS1XqTkbFxBsfSxL7F008/Qd/YUrKb0St/+4Xc9InPc/1bruDE9DGuumonTzwxiWpq3PJ3X+f9f/xhrPQIf/yO/0atbVIor2F0bBBTFjultxlfs5qxsRF2P7QLSYlIWRZpaw0npg/RcrqUiqVkI2pN0RP1dv/AQML9Iqx43RarRidYaTQpn/cAfuonuK5BIKyE215iyPRLp/w9tz8zlPS9730v8TJ+rsP++pvZ2ec812nJ8/Y7f8rB6cXk56NHj/KmN73pV3rd8+mkd/311cnMx1JlhXqjkQg8xFxs0IswZSuZGAsUH19eJN2+Dv3EK5A8k8lZ0aVIJ3mh2IUyCGv0lbMEtobteYm8X7TN3FB4/RksrOzhQx9+B36wxLf/6W94zeuuIZPTaCxXkaUq559zDh/96Jfo+QHDQ+vYtvVMzjz7ImqNJf78T29l4+Zz6LZ9pqdm8TwnGWrPZ9Ocd/b5VBJ1tthyK0gc8CXLRJUV6rUKGcui1ayTzeWTrk5TtPXEviGhhJlXYdM/IluP4bbziXNWt2kTeBpRLPrhJo/+0zPWHAK9grsrlUr/Zk94zZo1iTfccx0iZ3z44YcTslHoAN/97nc/10uel8+/89MvTgC4XK08C0BNh9AOMGQtec6XIxSjRVl+EfLstSwdzdITu407vURdIpQxQhYlqwGdupuMcS6tCHetbDKbsbAwy9q1axkYSrH70Tu58ab38fFPfIh3vfvNpCxhhXaCwYE+Xv3qP+Tmr99CIC/y1BMr1FYUbr/tUXae9/scPHyMeqOaOLTW6xUG+vPEoSgeJxLwDQ2OU1lpJe4MjV6bwPNJWQaZlMXszDSGoeKHwnDoZK3Q6VUY36zRGroZlGkip5QogboNsSl34nqdpHR7vvNMBBRV8KZNm06ODj7Thvvl3wY+9U9dzUThuXlAbWQzM9d+NrnO5OTkr2Xh8c+/SX/wqRcl3s9iCW53OidVMKaCKmaB45gojrGjKBmtHC6X0Nvnc+ies/F7WZzwKGFUwO8K0tpm5yXbue/n9yMrOTK5HPNzs/QNDiZ2v81Gi0rjODvOLjM4BPfeexfXvuQqLr/8Qmz7MP3lNC97+R/wjW/dTq7o8v07nuDlr/xtHt09z7337OHwAZ98ppiochynjW7EZFIqa1YLv5lBjk/NJXu+FfJlmr0m/X2lZKzSbreTv2VJUEhixkVEa4X8QBe5bx+t/B3IcicBoOO2cVtpXFdEcDlJ8R761jP7hAjiWCDyf6+AxePqsb2c89CHMM68DnlgHcqmKwiP3I8yfjb+499B3X4t3o9uJFo8hNy3hqPXfP7ZKCr4w1/n4203XpEAcGF56VkAptI6Kh5KHNATNzySyeiDpLMuWtiPf+JqTuwtsmrVWg4dWsDSiiDXWL85S726zOEDNlY6lew33Ox2ksIxV/QplYZ48rHDrFtXYse5JtvPGeZv/+ZmXv+GC1izpp9X//Z7+dgNn2FgsEhlRea/ffFnWKk0OeNiGi1hG+xjaDr5vPCUmSEIWkxM9Ce+hoEvkcv2JRssCuN0u2fT31ekWa8RBj7dpsPw6gL1losrbKJze8mueYqOtffkqKmXxfGXcZs5PM//1wB89NFHn8XJRz/60UQ6f8EFFyRKjcb005y/+8Oo+SG0nW9ELo4jlcYJD9yNlB8mPPoLsHIED38rAeD+F/3XZ6913nnn/Trjj7d+8vIEgIsry88CUNhtKPiosY/rhbihmBkW2wdpaJho/jidqYvoLezATGv0WqLVtcLHP/VaFhertO1FkLLE9IgVPamOwyBKdkcSUx/QTSgb0XGQyLB2Iiab89izZ4mIMmdsH+LooUVs10WVTYLYSzZUFMaWuqbRbDVRFI/LX3gJ17/+84kPoXC6ipEp5PpwvTaOMFCSRDHho4t8tNojlIWLQo6257Hu3DnmvX8gFnMlkUns67jBHHYjn3hDq5qUdIUe+tYzRPSPf/zjJEEWx/79+7nkkkuSomRqaorO3CEueOQ/oxoppPIEcv86wmMPom6+kmD/j1C3XoP/xB0JJygA+MQlH38WdDt37vy1BuAbb3hhooCp1mu0OqLHaqCbwtE7Bk80R2K80MX2w8SMyHfCJFqY0jhRb4yscwWdFQU9Eg7zKsen9nPuzhfywC8eoVgaSPbkqDdXMCwjsQLuKxeoN5bYtHk9M7PTLC0/TjGj86GPXs1rX/82zlj/TpptmFizLtmveG5ugR07zmTm+AlqK7UEYGJzwVIxl3COluUQRQGRP46edvGF37WnJKaTwvc5QnjHdGg3llHkArn+Abrmfui7hzB9FCm0iCNR9cd4PZIdnzxPI5XTko2rd33jGSJa5ID/f1Vw3pDY8L03Q+A9J5iiS97OnuxFyXkiB7z++uuf8zXP5xPe8LGLEwDWGvVnASirPnqooYRiqCtKaJieFyY0l2c7xIGOEhZxuxoZeQMF/UJayzJKpOB0Hdp1se+ch2ll6BsoJ5Ws2Duk1JdncXEuGX/MZCxWKkvYziKrx/O8+33X8nu/92bO3v42OsJsIY4TIyTLSlOp1FizegLf8VlaqCQ5qihaSoIVUTyqlWly2noymYBey0NVZUIxyxILK18fx+1BlCFUmpjD++la90KqQyxbhEGHk6xzEp+we8JsScfKqckX6hd//8+sOR566KGkEm42m/9XmBCJ9plnnsnll1/+f3Wd58OLfwnAX0ZA3TQT4/G0bCEFoikvTMjdxIhc+AhGYmOXrofbDXHsGLcXkMrHZDMqA/p1zO66AL+j0rM9dMMklbeoN5dR9CChTzRdodmsJ3IvoT9s1BaR9SbnX7iF7373OxRSW/mf7V1brCTXVV1V3VXV9eh33+fcmbFnJjPOOGNbNnFm7CQ4cYydkMQRAg14IBYIwQdEYKFEgIUIDgbyhUQURB6KDeJpE0L4iC0RBuLECQhjO7Yz43ncmfvue2+/qruqq+vZhfZu28BXfZWE4PTPvdI993T36tX7nLPP3mtZtSUYhsUmg2THQGaKg4GDiTtB2STBTBVJTOJBAQ6fqKOzex0HKqdRiGVEYxNB8SIX15brRPh9RGkKo5IgNl7Env8MKnM6oBYQURFunHIEBOnahEAUkjCTxB4iVB7w7SffSET/X/iw/ze+ByIgRTYiIJm6EAHZkrVIJfVk1jJBkExQJDt700KBLAz8GHbXZlvUyFcw1SIYFQ83mg9i+PKDiCcFJiBVJhc1oEvum8qUWz0pwUG5OipyDcicOo4xCF7HyvLbcenSv2OuvgircgPfQtAFQ6s5z6fSxtwiL/+9jo2FxSa6nV2YFRenH3Sxt3cJyWgFiHRIwUFMowUUtAnG8Ro0y0bfvQZ78n3OSVYbVei1kORcEfikc0OlaDGQpJBTDTJ0yGoE3dRYgP1fvizEiXLl7bnP3PUWAZ2x+xYBLdlCGpJs7wTjYASFFAOqdeiKhTQm1fkAu+1tOB0fHgqYW5ngkPUuFNbOYmtVZStVyqXZ4y5aCxXYox4TSVFULvunpbXf24PvBRjhdczV78DV1e9goWqiZB3lv7N0cBBjbm4ene6QTXOa9XnYwy6OHb0Brn8ZJz/wGrY738V0aqIx18DWaoDBLjCeDGGUZahGgij14E9G8AOfS8IUXYGkkPZLyMt6SjrRFOELFjS1gmIpYNneKPLxzT8Rdq25EvBnfv9uTsb3+zYnaTVVg2HRqZVstxSMnVkaRdXJJ66AVr2FolxEIZXR77vY2exg6G3BLBfwtsN3YrF+B658/WMI01dx/fUOGosWN35LBROmafBzUa0hiYZP4wRjx8ZwvI6y1cD27mVUrCpM6zA3BdF1GP0kA0E6CNWtJZKlhhf3UK42kOh9HD7zbbheG5Ico9Fsors/wmiP7GUdKEUdpZJKqtasllVQgHqzwtd21IQ1mYwRBiE/j16yYFllqEUVqk5OoTHXAz73hIiAuRLw43/wbl7qqPONCEj7PEWbsuIoiU7SHokadEgzxXaGsOhgUW+gVq4h8GPstjtY37jCaYtjR49jfn4Z1555P9rXA3gjH2ZVQsJyvgZcx+WbLPpwiYCaqmJ7aw1GOYZtj9ghkywhmq3jfAihvC/15tIjSqgloAA5KWB+6TBQGmDu+AAT4xkWFVfUKUdK23bhdgI2s5GkN0SHUh9eELPTZ71R5n0oQAQkJVQ6tFAdpMW90FQFTq1HE8+D70f4py8Io5pcCfjwZ9/Dd7ajEUU6yrNRBCxwWyZpwEyjKROlZCh8xTboDtCo1XFw+SCnZUjC7PpqG53uLo6dmMf8Ygk7Lx3C5efeCU0qwgsGSKUSCkWFawfpf4hclFKjXhMyRpQVl5+/O1iHrllYOXgb53eJfG8KEjRbCwiiNkyliolfRnn5OkoHX8AovsrXgbpewOLSAsZjF+NugvZOl8up6PmmaYAwBmRFRb1emVlMSAlXetOXjva81N5pVWbVP2RbMbRnFVPPfk74hORKwJ/+vbs4EtASTKbTesmARodEpYQkmsIfUy0lUK4aXCbvDqn0neRu51gggPIXzjDC3v42yrUUjXmgtzFF+4X7YW+a7GpJshnN5hwGg+FbbbV0F0+Rl06yQdxhUfDd7ioMrYyl5VNc30nLL/2kRxgnKBRHKJJ3Zr2Fm941wLrzNFQyVAQ4sjaaJkbOAHYnQb/n8DZCJqlhf4hi0WTHJCrXb7VqWFu/CtMy4IUeDENFo1nh9A4lrj3Pf8OmIRYEzJV9AM49fuZ/ELCk6UxATdWZgOPRGFEYMgHLtSpHRM8dIwkTtJpz4HZZOWXLe7qBIIXRdvs6ask9uPjPRxA5Nc4zkgkOjaXe7jfJRUtsf9hFNO3BdT2OgNVyA7X6Mb4qpVI7us6jHhRKZDcbVRQkFx8+ewp3/nAJj3/+V1BUSrjjjjvxwPvux5/+zRdhj9pQ0kWc+4mP4+rVa/jSk19CGI3xW7/+29CsEr7y5BexcnAJ6xvXeG+oVwDTpGrvmeo/bQ1IlIiu42i/ev4LbaEPmCcJH/rMaXhegMHAZs1n3ShB0yVWmKfIN3ECeBMfmqKg1WqwnT3t5eyBDX8SYHnxAA4cnIcs055N5WVzt30FFa2GwcV7MVi/FRpVVQ9HiKOYr+CKmgIS3SKS7e1tQC2lsO0+OqNVtKoH0Gqe5NsOVZXZz5csIabFFKZZQXPBw8O/fAx/9+wf4Rd/7hP49OOPo1yxOLL9xqd+DY8+9kn88Wf/HI/85s9jba2HpaV5PPDBB/D0U//ASgu3nDqNsWdjf3AJGpnqmLODa+HF0gAAB/FJREFUV5JMeTmm1z8ehfwF88MILzwtfELy5B9+6rF3chXJaORw0pmsCsiEmns9aA83poJfytAmqNdqvOxSBKOoZA+GQFzEkaOHsXxgAVZZ5+u27c3XgWkR8XAR3u7t2Lu2BFCNXRQjhQZShCwoJAJOSx1ZPFD0dLGz/xpajUOoVpfhOH2UrZkglaqWYI+nMFtDnLkvwcoxG/e+5yP43veuoN/bxs03H4dWLiAKx3jiL57Aj97zEP71pb+CPzHx0LlzeO7553HP3R/CpdXn4Qw17HY3sT98CVb5ADSyRE4p3UTO6RMmoNefFaT6fohXv9EXETBPBp79nVvhjUN4Yx/TNOKeENoLvUnAySTG2J1wvqykqmi1WryPo/3bzvYeBvtj3j+949RJtOZqrKi6vXMZ7rCIKXpAUkLY/iiGV44gnoT8d7JJJQ1CuSizNdb+/i737m7uvIyKRUS2IEkqxi6VRWmsDe1EE9xwyzUU6v+Inzz7EP72L7+Pz//hn+HHz74Xp247Cdez8buffgyPPPqr+OvPnce5XzqDxYWbcX1jDU98+St4+Gd/AYdvrMGylmA7Hez2L6JSJs1Juvv1mWzUlERbgcilvSdZkoW49E1HEDBfAt4CZ+TBcTyWvWUCKhR1dLZfIHEiSpFEwazxi4RC6QRLB4RBf4TttS7ixMfhG1Zw/PhRVtBa33oFrkOSbyF8MpGRVmCN3oeNi8DUW8TEBqpVA47ThWKV+P89v4+1zf+AadRh6C2+pTCsGvQylRN0cepMCd3gGyg3u2jVbsLtt/4Ivv73T6FQAObmGnj/fffiq197CkPHxg8d/xiWj/q4cGEH+90d1rq+/wMfxsuvfBdvP3kK69vrcCcdIFUQBSF/mSjy0Xui3/0RvdeUr4gvnx8KAuZJwB979BSckc+VJ7TnIgIaOqVeZn5rcSzBdcbwJ6QJM8vNURRkkUfPR3uzi/1OG9WqhRM3HcWRIzdi7dqrvBSnKTkZKUiKuzCkCiqF02hfuBHj3QUMuyMoGlm9FqFqEva7a9jeexmW2UBJXuCTruN3YS32cep0Cc70RU44U8pkbp6ql1WOwNScnqQh5hcXsLG1wUpAtx35EF65+jWoyhymUogwDqAVTECeQrdoj6tBM3SuKRj1yPiGbGcTVkWlBqzAmfIJmhqTLp+3BQHzJOBHP/WO/yIgyV3oCiplsmCdnYLpmpRdNJOZWgCdDulU22y2+NAydn3s7e2wZ8ihg4s4duwoelttTOmUoegIkhRB4qJes1jidzrWcfUFC8HWe9HdNlE0HHR7HUiyh75zAbVaC3JkomgVsHikgOUTA0T6i/AmA8QhubUH0MsOCmhi1DMRhjb3btRbdWxt7yCKYyRuC6VKG6rSgFKSEKcRkoiSzRXolsavv9sdYhKMMey6s8obhUy5ZxEwdGfRnt7v5fPCKy5P/uEjn7wFQ9vlhp1ZBFShGlPIkgwplREHEXuDmLrGH9Bo6HNENM0qas0GAvgs8u7aA9TrVSbZxBvCmhRRbrYwVhNOUpulCk687QAmPRc/eG4X9oaMmrkC1z8CKWoBcHHz7TVs7V2Gtyth4W4ZkbUBldyGlTEb4JBcMCWVVSK2p8IbJ7xvpZP10vI8Vq+uIYnp1cYgHwbyOZYVick1VaRZhU2q8O2H3XUwGroc2UuGBI32HZD50BX59EWbmdmsfovynv9dhyPXj+P/3+QffOQkE5BOum8SUDMoRUKytxJGAwembuDggWXIssQE3Nrc5q6y5vwctArl+EI47D4eolqxoBRSmG8QUGoY2GlvQC2UMd8wIYUxfvCtTfhdGZZShEo+xX0LqhLDmkvgpw4mBQXL725gEA2gJWVIWgmaQmVTEyYg6fi7wxSjYchXZ7I85TTM6tV1JLGEQppwtTW1BRhljW9T6LBDfieBRwUIU/T2BxgOhizObpgK738lSeGMAJVl0SmYaPfasx1BwDy/Fvd94jgTMAioW0ziCEhpGPKFS5OUE9EUCQ+tLPE1leuE6PcG6HZtWNUKGkv1WaGqN8ZoZLOrJnWimRMZerWO8iFqHL+GQmqgaikohFNc+M4GZF9B0ywhGIRIeiaKUoLagRISTUZvuoXluxbRdjoohgaKRgllk/IlISe8ZUnBcDDF2I24+LSopKjVqrh06QpHQHlKnsQFWBUDlZqBcoUIWORrQxKqJJ8Td+jxlVvJ0Elgld9vRHvesMARnx6Up/y3r64JAuZJQDF3NgJiCc7GSIzIEQFBwBzBFVNnIyAImI2RGJEjAoKAOYIrps5GQBAwGyMxIkcEBAFzBFdMnY2AIGA2RmJEjggIAuYIrpg6GwFBwGyMxIgcERAEzBFcMXU2AoKA2RiJETkiIAiYI7hi6mwEBAGzMRIjckRAEDBHcMXU2QgIAmZjJEbkiIAgYI7giqmzERAEzMZIjMgRAUHAHMEVU2cjIAiYjZEYkSMCgoA5giumzkZAEDAbIzEiRwQEAXMEV0ydjYAgYDZGYkSOCAgC5giumDobAUHAbIzEiBwREATMEVwxdTYCgoDZGIkROSIgCJgjuGLqbAQEAbMxEiNyREAQMEdwxdTZCAgCZmMkRuSIgCBgjuCKqbMREATMxkiMyBEBQcAcwRVTZyMgCJiNkRiRIwKCgDmCK6bORkAQMBsjMSJHBAQBcwRXTJ2NgCBgNkZiRI4ICALmCK6YOhsBQcBsjMSIHBH4TypGbLX4/hyQAAAAAElFTkSuQmCC</thumbnail><stage name="Stage" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" volume="100" pan="0" lines="round" ternary="true" codify="false" inheritance="true" sublistIDs="false" scheduled="false" 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</pentrails><costumes><list struct="atomic" id="2"></list></costumes><sounds><list struct="atomic" id="3"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites><sprite name="memo" idx="3" x="-103.99999999999909" y="-130.99999999999972" heading="110" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="0" color="0,96.38999999999997,137.70000000000002,1" pen="tip" id="8"><costumes><list struct="atomic" id="9"></list></costumes><sounds><list struct="atomic" id="10"></list></sounds><blocks></blocks><variables></variables><scripts><comment x="33" y="10" w="632" collapsed="false">-csv adds the &quot;predicting&quot; functionnality . To do predicting you need a pre-existing dataset of examples whose input and output values are already paired. The model uses a well known Iris dataset largely used for ML NN tutorials (see Web). For each of its items NN set (2 vectors, 2 matrices)is evaluated. Sets are summed and averaged. Average set is used to predict the class of a not iditenfied item.Several new blocks are needed to provide a &quot;predicting&quot; function.New : a combination of Sigmoid for Input matrix and ReLu for output matrix gives  an excellent result..As already mentioned &quot;Machine Learning has more to see with &quot;cooking and alchemy rather than to quantic physics&quot;</comment></scripts></sprite><sprite name="train" idx="1" x="127.99999999999955" y="63.00000000000017" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="1" color="3.876000000000089,0,193.8,1" pen="tip" id="14"><costumes><list id="15"><item><costume name="images" center-x="108" center-y="116.5" 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" 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NN USER BLOCKS ARE SWITCHED TO THE AUDIO PALETTE, ADDING A NICE PINK COLOUR TO SCRIPTS  !</comment><comment x="18" y="464.000001" w="301" collapsed="false">FMAP FUNCTIONS ARE EXTENSIVELY USED IN THE PROJECT WITH THE RESULT OF A SIGNIFICANT PERFORMANCE IMPROVEMENT &amp; MORE READABLE SCRIPTS.  SEE  MKM,   INVM,  MATARI, VECARI, ADV2V ,ADB2M,ADM2M</comment><script x="11.000000999999997" y="25"><custom-block s="// %txt"><l>TRAINING</l></custom-block><block s="doSetVar"><l>elem</l><block s="reportRandom"><l>1</l><l>140</l></block></block><block s="doDeclareVariables"><list><l>lisb</l><l>b</l><l>c</l><l>d</l></list></block><custom-block s="// %txt"><l>ITEM NN OUTPUT</l></custom-block><custom-block s="setpar ac %s acd %s erm %s mxr %s cl %s"><l>2</l><l>2</l><l>60</l><l>500</l><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="elem"/><block var="datest"/></block></block></custom-block><block s="doSetVar"><l>target</l><custom-block s="tgt %s"><block s="reportListItem"><l>5</l><block s="reportListItem"><block var="elem"/><block var="datrain"/></block></block></custom-block></block><block s="doSetVar"><l>inp</l><custom-block s="modlis %l %l"><block s="reportListItem"><block var="elem"/><block var="datrain"/></block><block s="reportNewList"><list><l>1</l><l>2</l><l>3</l><l>4</l></list></block></custom-block></block><custom-block s="onerun"></custom-block><block s="doSetVar"><l>y</l><custom-block s="fmap %cmdRing %l"><block s="reifyReporter"><autolambda><custom-block s="jfixed %s %s"><l></l><l>2</l></custom-block></autolambda><list></list></block><block var="y3"/></custom-block></block><block s="doAddToList"><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="elem"/><block var="datest"/></block></block><block var="y"/></block><block s="doReport"><block var="y"/></block></script><script x="113.000001" y="10"><block s="doSetGlobalFlag"><l><option>turbo mode</option></l><l><bool>true</bool></l></block></script><script x="371" y="40"><custom-block s="// %txt"><l>RESULT</l></custom-block></script><script x="462.7890635" y="45.000001"><custom-block s="result"></custom-block></script><comment x="338" y="247" w="301" collapsed="false">NEURAL NETWORH IS A METHOD ALLOWING TO FIND A MATHEMATICAL LINK BETWEEN TO VECTORS AS INPUT AND OUTPUT WHEN IT DOES NOT EXIST A KNOWN MATH  FORMULANN FINDS A LINK BY USING NG WITH A SET OF 2 VECTORS AND  2 MATRICES. TRAINING PART FINDS AN ACCEPTABLESET. IT NEEDS A LONG SERIE OF COMPUTING. BUT AT THE END OF THE TRAINING PHASE YOU GET A FINAL SET WHICH IS USED TO HAVE DIRECTLY A SOLUTION (IN FACT IT IS SLIGHTLY MORE COMPLICATE. WE &apos;LL SEE THIS IN DETAIL LATER. </comment><script x="452" y="72"><custom-block s="result3 %s"><block s="reportNewList"><list><l>1</l><l>0</l><l>0</l></list></block></custom-block></script><script x="451" y="102"><custom-block s="result3 %s"><block s="reportNewList"><list><l>0</l><l>1</l><l>0</l></list></block></custom-block></script><script x="452" y="131"><custom-block s="result3 %s"><block s="reportNewList"><list><l>0</l><l>0</l><l>1</l></list></block></custom-block></script><script x="352.5498056875" y="501.80000100000007"><custom-block s="tgt %s"><block s="reportListItem"><l>5</l><block s="reportListItem"><block var="elem"/><block var="datrain"/></block></block></custom-block></script></scripts></sprite><sprite name="dico" idx="2" x="-212" y="-83" heading="96" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="0" color="48.14399999999997,150.45,0,1" pen="tip" id="169"><costumes><list struct="atomic" id="170"></list></costumes><sounds><list 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VECTORS</l></custom-block><custom-block s="// %txt"><custom-block s="adv2v %l %l"><l/><l/></custom-block></custom-block><custom-block s="// %txt"><l>DIVIDE ALL ITEMS OF A MATRIX BY A NUMBER</l></custom-block><custom-block s="// %txt"><custom-block s="matari m %l n %s"><l/><l></l></custom-block></custom-block><custom-block s="// %txt"><l>SAME FOR VECTORS</l></custom-block><custom-block s="// %txt"><custom-block s="vecari y %l n %s"><l/><l></l></custom-block></custom-block><custom-block s="// %txt"><l>SCALAR PRODUCT APPLIED BY A VECTOR TO A MATRIX</l></custom-block><custom-block s="// %txt"><custom-block s="mky v %l m %l"><l/><l/></custom-block></custom-block><custom-block s="// %txt"><l>BEWARE - RESULT  USES THE ACTIVATION FUNCTION</l></custom-block><custom-block s="// %txt"><custom-block s="mkyn %l %l"><l/><l/></custom-block></custom-block></script><script x="514" y="21"><custom-block s="// %txt"><l>ONE RUN OF NN GIVEN PARAMETERS</l></custom-block><custom-block 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%s"><l></l></custom-block></custom-block><custom-block s="// %txt"><l>BACK PROPAGATION</l></custom-block><custom-block s="// %txt"><custom-block s="activd %s"><l></l></custom-block></custom-block><custom-block s="// %txt"><custom-block s="sigd %s"><l></l></custom-block></custom-block><custom-block s="// %txt"><custom-block s="relud %s"><l></l></custom-block></custom-block><custom-block s="// %txt"><custom-block s="elud %s"><l></l></custom-block></custom-block></script><script x="263" y="17"><custom-block s="// %txt"><l>SAME AS MKY BUT WITHOUT ACTIVATION</l></custom-block><custom-block s="// %txt"><l>IN THIS CASE DO SEPARATELY SCALAR OP AND ACTIVATION</l></custom-block><custom-block s="// %txt"><custom-block s="psc %l %l"><l/><l/></custom-block></custom-block><custom-block s="// %txt"><l>SCALAR PRODUCT OF 2 VECTORS</l></custom-block><custom-block s="// %txt"><custom-block s="psf %l %l"><l/><l/></custom-block></custom-block><custom-block s="// 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category="motion"><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs></block-definition><block-definition s="fmap %&apos;func&apos; %&apos;list&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%cmdRing"></input><input type="%l"></input></inputs><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>func</l><l>list</l></list><l>var result =[],src=list.asArray();len=src.length,i=0;for (i=0;i&lt;len;i+=1){result.push(invoke(func, new List([src[i]])));}return new List(result);</l></block><list><block var="func"/><block var="list"/></list></block></block></script></block-definition><block-definition s="fmap2c %&apos;func&apos; %&apos;lista&apos; %&apos;listb&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%cmdRing"></input><input type="%l"></input><input type="%l"></input></inputs><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>func</l><l>lista</l><l>listb</l></list><l>var result =[],srca=lista.asArray(),srcb=listb.asArray(),len=srca.length,i=0;for (i=0;i&lt;len;i+=1){result.push(invoke(func, new List([srca[i],srcb[i]])));}var sum = 0;for(var i = 0; i &lt; result.length; i++){sum += result[i]}//return sum;</l></block><list><block var="func"/><block var="lista"/><block var="listb"/></list></block></block></script></block-definition><block-definition s="let %&apos;a&apos; be %&apos;val&apos; in %&apos;loop&apos; %&apos;body&apos;" type="command" category="control"><comment x="0" y="0" w="238.66666666666666" collapsed="false">Provides LOOP as a function of one input that runsthe body of the LET with A set to the function input,so the body can run itself recursively.See COPY block in Variables for an example of use.</comment><header></header><code></code><translations></translations><inputs><input type="%upvar"></input><input type="%s"></input><input type="%upvar"></input><input type="%cs"></input></inputs><script><block s="doSetVar"><l>a</l><block var="val"/></block><block s="doSetVar"><l>loop</l><block s="reifyScript"><script><block s="doSetVar"><l>a</l><block var="new value"/></block><block s="doRun"><block var="body"/><list><block var="a"/></list></block></script><list><l>new value</l></list></block></block><block s="doRun"><block var="loop"/><list><block var="a"/></list></block></script></block-definition><block-definition s="copy %&apos;value&apos; %&apos;n&apos; times" type="reporter" category="lists"><comment x="0" y="0" w="133.33333333333334" collapsed="false">copy VALUE N timesreports a list containing N (identical) copies of VALUE</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%n"></input></inputs><script><custom-block s="let %upvar be %s in %upvar %cs"><l>result</l><block s="reportNewList"><list></list></block><l>loop</l><script><block s="doChangeVar"><l>n</l><l>-1</l></block><block s="doIf"><block s="reportLessThan"><block var="n"/><l>0</l></block><script><block s="doReport"><block var="result"/></block></script></block><block s="doRun"><block var="loop"/><list><block s="reportCONS"><block var="value"/><block var="result"/></block></list></block></script></custom-block></script></block-definition><block-definition s="map %&apos;func&apos; over %&apos;data&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="errorObsolete"></block><script><block s="doReport"><block var="data"/></block></script></block><block s="doReport"><block s="reportCONS"><block s="evaluate"><block var="func"/><list><block s="reportListItem"><l>1</l><block var="data"/></block></list></block><custom-block s="map %repRing over %l"><block var="func"/><block s="reportCDR"><block var="data"/></block></custom-block></block></block></script></block-definition><block-definition s="modlis %&apos;elem&apos; %&apos;lpar&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l><l>lis</l><l>c</l><l>n</l><l>lisa</l><l>f</l></list></block><block s="doSetVar"><l>a</l><l>1</l></block><block s="doSetVar"><l>f</l><block s="reportNewList"><list></list></block></block><block s="doRepeat"><block s="reportListLength"><block var="lpar"/></block><script><block s="doSetVar"><l>c</l><block s="reportListItem"><block var="a"/><block var="lpar"/></block></block><block s="doAddToList"><block s="reportListItem"><block var="c"/><block var="elem"/></block><block var="f"/></block><block s="doChangeVar"><l>a</l><l>1</l></block></script></block><block s="doReport"><block var="f"/></block></script></block-definition><block-definition s="colshuf %&apos;lisa&apos; %&apos;lipar&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l><l>lis</l><l>c</l></list></block><block s="doSetVar"><l>a</l><l>1</l></block><block s="doSetVar"><l>lis</l><block s="reportNewList"><list></list></block></block><block s="doRepeat"><block s="reportListLength"><block var="lisa"/></block><script><block s="doSetVar"><l>c</l><custom-block s="modlis %l %l"><block s="reportListItem"><block var="a"/><block var="lisa"/></block><block var="lipar"/></custom-block></block><block s="doAddToList"><block var="c"/><block var="lis"/></block><block s="doChangeVar"><l>a</l><l>1</l></block></script></block><block s="doReport"><block var="lis"/></block></script></block-definition><block-definition s="ch2 %&apos;nl&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>dif</l><l>der</l><l>rec</l><l>d</l><l>k</l><l>f</l><l>lis</l></list></block><block s="doSetVar"><l>dif</l><block s="reportDifference"><block s="reportListItem"><block var="nl"/><block var="y3"/></block><block s="reportListItem"><block var="nl"/><block var="target"/></block></block></block><block s="doSetVar"><l>der</l><custom-block s="activd %s"><block s="reportListItem"><block var="nl"/><block var="y2"/></block></custom-block></block><block s="doSetVar"><l>rec</l><block s="reportProduct"><block var="dif"/><block s="reportProduct"><block var="der"/><block s="reportListItem"><block var="nl"/><block var="inp"/></block></block></block></block><block s="doReport"><block s="reportProduct"><l>0.5</l><block s="reportProduct"><block var="dif"/><block s="reportProduct"><block var="rec"/><l>0.1</l></block></block></block></block></script></block-definition><block-definition s="rd" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportRandom"><l>10</l><l>99</l></block><l>1000</l></block></block></script></block-definition><block-definition s="mod3 %&apos;lig&apos; %&apos;col&apos;" type="command" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l></list></block><block s="doSetVar"><l>a</l><block s="reportListItem"><block var="col"/><block s="reportListItem"><block var="lig"/><block var="w3"/></block></block></block><block s="doReplaceInList"><block var="col"/><block s="reportListItem"><block var="lig"/><block var="w3"/></block><block s="reportDifference"><block var="a"/><custom-block s="ch3 %s"><block var="lig"/></custom-block></block></block></script></block-definition><block-definition s="modw3" type="command" category="sound"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="// %txt"><l>UPDATE W3 MATRIX</l></custom-block><block s="doDeclareVariables"><list><l>lig</l><l>col</l><l>kli</l><l>kco</l></list></block><block s="doSetVar"><l>lig</l><block s="reportListLength"><block var="w3"/></block></block><block s="doSetVar"><l>col</l><block s="reportListLength"><block s="reportListItem"><l>1</l><block var="w3"/></block></block></block><block s="doSetVar"><l>kli</l><l>1</l></block><block s="doWarp"><script><block s="doRepeat"><block var="lig"/><script><block s="doSetVar"><l>kco</l><l>1</l></block><block s="doRepeat"><block var="col"/><script><custom-block s="mod3 %s %s"><block var="kli"/><block var="kco"/></custom-block><block s="doChangeVar"><l>kco</l><l>1</l></block></script></block><block s="doChangeVar"><l>kli</l><l>1</l></block></script></block></script></block></script></block-definition><block-definition s="mod2 %&apos;lig&apos; %&apos;col&apos;" type="command" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l></list></block><block s="doSetVar"><l>a</l><block s="reportListItem"><block var="col"/><block s="reportListItem"><block var="lig"/><block var="w2"/></block></block></block><block s="doReplaceInList"><block var="col"/><block s="reportListItem"><block var="lig"/><block var="w2"/></block><block s="reportDifference"><block var="a"/><custom-block s="ch2 %s"><block var="lig"/></custom-block></block></block></script></block-definition><block-definition s="modw2" type="command" category="sound"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>lig</l><l>col</l><l>kli</l><l>kco</l></list></block><block s="doSetVar"><l>lig</l><block s="reportListLength"><block var="w2"/></block></block><block s="doSetVar"><l>col</l><block s="reportListLength"><block s="reportListItem"><l>1</l><block var="w2"/></block></block></block><block s="doSetVar"><l>kli</l><l>1</l></block><block s="doWarp"><script><block s="doRepeat"><block var="lig"/><script><block s="doSetVar"><l>kco</l><l>1</l></block><block s="doRepeat"><block var="col"/><script><custom-block s="mod2 %s %s"><block var="kli"/><block var="kco"/></custom-block><block s="doChangeVar"><l>kco</l><l>1</l></block></script></block><block s="doChangeVar"><l>kli</l><l>1</l></block></script></block></script></block></script></block-definition><block-definition s="mky v %&apos;yy&apos; m %&apos;ww&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l><l>lis</l></list><comment w="151" collapsed="false">Makes the product of vector yy and matrix  ww.The result is valorized by the activity function. A naked version exists wiithout valorization. Only sclar products.</comment></block><block s="doSetVar"><l>lis</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>a</l><l>1</l></block><block s="doWarp"><script><block s="doRepeat"><block s="reportListLength"><block var="ww"/></block><script><block s="doAddToList"><custom-block s="psf %l %l"><block var="yy"/><block s="reportListItem"><block var="a"/><block var="ww"/></block></custom-block><block var="lis"/></block><block s="doChangeVar"><l>a</l><l>1</l></block></script></block></script></block><block s="doReport"><block var="lis"/></block></script></block-definition><block-definition s="mkm h %&apos;hei&apos; w %&apos;wid&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="doDeclareVariables"><list><l>a1</l><l>b</l><l>lis</l></list></block><block s="doSetVar"><l>a1</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>b</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>lis</l><block s="reportNewList"><list></list></block><comment w="100" collapsed="false">Make a matrix hxw. Can also make a vector but trere is a trap...Too long to explain !</comment></block><block s="doRepeat"><block var="wid"/><script><block s="doAddToList"><l>1</l><block var="a1"/></block></script></block><block s="doWarp"><script><block s="doRepeat"><block var="hei"/><script><block s="doSetVar"><l>b</l><custom-block s="fmap %cmdRing %l"><block s="reifyReporter"><autolambda><custom-block s="rd"></custom-block></autolambda><list></list></block><block var="a1"/></custom-block></block><block s="doAddToList"><block var="b"/><block var="lis"/></block></script></block></script></block><block s="doReport"><block var="lis"/></block></script></block-definition><block-definition s="sigd %&apos;val&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block s="reportProduct"><block var="val"/><block s="reportDifference"><l>1</l><block var="val"/></block></block></block></script></block-definition><block-definition s="sig %&apos;val&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l></list></block><block s="doSetVar"><l>a</l><block s="reportQuotient"><l>1</l><block s="reportSum"><l>1</l><block s="reportQuotient"><l>1</l><block s="reportMonadic"><l><option>e^</option></l><block var="val"/></block></block></block></block></block><block s="doReport"><block var="a"/></block></script></block-definition><block-definition s="elu %&apos;val&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>par</l></list></block><block s="doSetVar"><l>par</l><l>1</l></block><block s="doIfElse"><block s="reportGreaterThan"><block var="val"/><l>0</l></block><script><block s="doReport"><block var="val"/></block></script><script><block s="doReport"><block s="reportProduct"><block var="par"/><block s="reportDifference"><block s="reportMonadic"><l><option>e^</option></l><block var="val"/></block><l>1</l></block></block></block></script></block></script></block-definition><block-definition s="relu %&apos;val&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>par</l></list></block><block s="doSetVar"><l>par</l><l>0.1</l></block><block s="doIfElse"><block s="reportGreaterThan"><block var="val"/><l>0</l></block><script><block s="doReport"><block var="val"/></block></script><script><block s="doReport"><block s="reportProduct"><block var="par"/><block var="val"/></block></block></script></block></script></block-definition><block-definition s="relud %&apos;val&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>par</l></list></block><block s="doSetVar"><l>par</l><l>-0.1</l></block><block s="doIfElse"><block s="reportGreaterThan"><block var="val"/><l>0</l></block><script><block s="doReport"><l>1</l></block></script><script><block s="doReport"><block var="par"/></block></script></block></script></block-definition><block-definition s="psc %&apos;lisa&apos; %&apos;lisb&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>lisa</l><l>lisb</l></list><l>var sum = 0;var result =[],srca=lisa.asArray(),srcb=lisb.asArray(),len=srca.length,i=0;for (i=0;i&lt;len;i+=1){sum +=srca[i]*srcb[i];}return sum;</l></block><list><block var="lisa"/><block var="lisb"/></list></block></block></script></block-definition><block-definition s="psf %&apos;lis1&apos; %&apos;lis2&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="activ %s"><custom-block s="psc %l %l"><block var="lis1"/><block var="lis2"/></custom-block><comment w="90" collapsed="false">Scalar product valorized by the Activity function</comment></custom-block></block></script></block-definition><block-definition s="onerun" type="command" category="sound"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>w2</l><custom-block s="mkm h %n w %n"><l>4</l><l>10</l></custom-block></block><block s="doSetVar"><l>w2</l><custom-block s="adb2m %l %l"><block s="reportNewList"><list><l>0.5</l><l>0.5</l><l>0.5</l><l>0.5</l></list></block><block var="w2"/></custom-block></block><block s="doSetVar"><l>w3</l><custom-block s="mkm h %n w %n"><l>3</l><l>5</l></custom-block></block><block s="doSetVar"><l>er</l><l>1000</l></block><block s="doSetVar"><l>nb</l><l>1</l></block><block s="doSetVar"><l>target</l><custom-block s="tgt %s"><block s="reportListItem"><l>5</l><block s="reportListItem"><block var="elem"/><block var="datrain"/></block></block></custom-block></block><block s="doSetVar"><l>inp</l><custom-block s="modlis %l %l"><block s="reportListItem"><block var="elem"/><block var="datrain"/></block><block s="reportNewList"><list><l>1</l><l>2</l><l>3</l><l>4</l></list></block></custom-block></block><block s="doResetTimer"></block><block s="doUntil"><block s="reportOr"><block s="reportLessThan"><block var="er"/><block var="erm"/></block><block s="reportEquals"><block var="nb"/><block var="mxr"/></block></block><script><block s="doWarp"><script><block s="doSetVar"><l>y2</l><custom-block s="mky v %l m %l"><block var="inp"/><block var="w2"/></custom-block></block><block s="doSetVar"><l>y3</l><custom-block s="mky v %l m %l"><block var="y2"/><block var="w3"/></custom-block></block><custom-block s="modw3"></custom-block><custom-block s="modw2"></custom-block></script></block><block s="doSetVar"><l>er</l><custom-block s="ertf %l %l"><block var="target"/><block var="y3"/></custom-block></block><block s="doChangeVar"><l>nb</l><l>1</l></block></script></block><block s="doSetVar"><l>end</l><block s="getTimer"></block></block></script></block-definition><block-definition s="adb2m %&apos;yy&apos; %&apos;mm&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l></list><comment w="90" collapsed="false">Add a Bias vector to a network matrix.</comment></block><block s="doSetVar"><l>a</l><l>1</l></block><block s="doRepeat"><block s="reportListLength"><block var="w2"/></block><script><block s="doAddToList"><block s="reportListItem"><block var="a"/><block var="yy"/></block><block s="reportListItem"><block var="a"/><block var="mm"/></block></block><block s="doChangeVar"><l>a</l><l>1</l></block></script></block><block s="doReport"><block var="mm"/></block></script></block-definition><block-definition s="adm2m m %&apos;m1&apos; m %&apos;m2&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>lis</l><l>b</l><l>lisa</l></list><comment w="90" collapsed="false">add 3 matrices</comment></block><block s="doSetVar"><l>lisa</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>lis</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>b</l><l>1</l></block><block s="doRepeat"><block s="reportListLength"><block var="m1"/></block><script><block s="doSetVar"><l>lis</l><custom-block s="fmap2 %cmdRing %s %s"><block s="reifyReporter"><autolambda><block s="reportSum"><l></l><l></l></block></autolambda><list></list></block><block s="reportListItem"><block var="b"/><block var="m1"/></block><block s="reportListItem"><block var="b"/><block var="m2"/></block></custom-block></block><block s="doAddToList"><block var="lis"/><block var="lisa"/></block><block s="doChangeVar"><l>b</l><l>1</l></block></script></block><block s="doReport"><block var="lisa"/></block></script></block-definition><block-definition s="matari m %&apos;mm&apos; n %&apos;ndiv&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l><l>lis</l><l>lisa</l></list></block><block s="doSetVar"><l>a</l><l>1</l></block><block s="doSetVar"><l>lis</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>lisa</l><block s="reportNewList"><list></list></block></block><block s="doRepeat"><block s="reportListLength"><block var="mm"/></block><script><block s="doSetVar"><l>lis</l><custom-block s="fmap %cmdRing %l"><block s="reifyReporter"><autolambda><block s="reportQuotient"><l></l><block var="ndiv"/></block></autolambda><list></list></block><block s="reportListItem"><block var="a"/><block var="mm"/></block></custom-block></block><block s="doAddToList"><block var="lis"/><block var="lisa"/></block><block s="doChangeVar"><l>a</l><l>1</l></block></script></block><block s="doReport"><block var="lisa"/></block></script></block-definition><block-definition s="vecari y %&apos;yy&apos; n %&apos;nn&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%s"></input></inputs><script><block s="doReport"><custom-block s="fmap2 %cmdRing %s %s"><block s="reifyReporter"><autolambda><block s="reportProduct"><l></l><l></l></block></autolambda><list></list></block><custom-block s="copy %s %n times"><block s="reportQuotient"><l>1</l><block var="nn"/></block><block s="reportListLength"><block var="yy"/></block></custom-block><block var="yy"/></custom-block></block></script></block-definition><block-definition s="adv2v %&apos;v1&apos; %&apos;v2&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="fmap2 %cmdRing %s %s"><block s="reifyReporter"><autolambda><block s="reportSum"><l></l><l></l></block></autolambda><list></list></block><block var="v1"/><block var="v2"/><comment w="158" collapsed="false">add 2 vectors. Used to make an &quot;avaerage&quot; vector y2 or y3 of the same category</comment></custom-block></block></script></block-definition><block-definition s="irisguide" type="command" category="sound"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="// %txt"><l>Shuffle datashuf list</l></custom-block><block s="doSetVar"><l>datirishuf</l><block s="errorObsolete"></block></block><custom-block s="// %txt"><l>Extract 10 rows and the 4 main columns from datirishuf and converts species names to codes 1,2,3 </l></custom-block><custom-block s="// %txt"><block s="errorObsolete"></block></custom-block><block s="doSetVar"><l>datrain</l><block s="errorObsolete"></block></block><custom-block s="// %txt"><l>MODLIS+FMAP</l></custom-block><custom-block s="// %txt"><l>Reshuffle one list  for example  columns of a list of lists</l></custom-block><custom-block s="// %txt"><custom-block s="modlis %l %l"><block s="reportNewList"><list><l>a</l><l>b</l><l>c</l><l>d</l><l>e</l></list></block><block s="reportNewList"><list><l>5</l><l>4</l><l>3</l></list></block></custom-block></custom-block><custom-block s="// %txt"><l>EXCELLENT THE ASSOCIATION OF MODLIS+FMAP</l></custom-block><custom-block s="// %txt"><custom-block s="fmap %cmdRing %l"><block s="reifyReporter"><autolambda><custom-block s="modlis %l %l"><l/><block s="reportNewList"><list><l>1</l><l>2</l><l>3</l><l>4</l></list></block></custom-block></autolambda><list></list></block><block var="datrain"/></custom-block></custom-block><custom-block s="// %txt"><l>COLSHUF</l></custom-block><custom-block s="// %txt"><l>Modlis is extended to a whole list with colshuf</l></custom-block><custom-block s="// %txt"><custom-block s="colshuf %s %s"><block var="samplis"/><l></l></custom-block></custom-block><block s="doSetVar"><l>inp</l><custom-block s="colshuf %s %s"><block var="samplis"/><block s="reportNewList"><list><l>1</l><l>2</l><l>3</l><l>4</l></list></block></custom-block></block><custom-block s="// %txt"><l>ADB2M TO ADD A BIAS TO A MATRIX</l></custom-block><custom-block s="// %txt"><custom-block s="adb2m %l %l"><l/><l/></custom-block></custom-block><custom-block s="// %txt"><l>ADD TWO MATRICES</l></custom-block><custom-block s="// %txt"><custom-block s="adm2m m %l m %l"><l/><l/></custom-block></custom-block><custom-block s="// %txt"><l>PREDIC</l></custom-block><block s="errorObsolete"></block><custom-block s="// %txt"><l>DIVISE  MATRIX/VECTOR BY A NUMBER</l></custom-block><custom-block s="// %txt"><custom-block s="matari m %l n %s"><l/><l></l></custom-block></custom-block><custom-block s="// %txt"><custom-block s="vecari y %l n %s"><l/><l></l></custom-block></custom-block></script></block-definition><block-definition s="mkiriset" type="command" category="sound"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>a</l></list></block><custom-block s="// %txt"><block var="datiris"/></custom-block><block s="doSetVar"><l>datiris</l><l>0</l></block><custom-block s="// %txt"><l>IMPORT IRIS .TXT</l></custom-block><custom-block s="// %txt"><block s="reportTextSplit"><block var="datiris"/><l><option>line</option></l></block></custom-block><block s="doDeleteFromList"><l><option>last</option></l><block var="datiris"/></block><block s="doDeleteFromList"><block var="datiris"/><l/></block><custom-block s="// %txt"><custom-block s="map %repRing over %l"><block s="reifyReporter"><autolambda><block s="reportTextSplit"><l></l><l><option>csv</option></l></block></autolambda><list></list></block><block var="datiris"/></custom-block></custom-block><custom-block s="// %txt"><l>ITS OK - READ IT LIKE A TABLE.</l></custom-block><custom-block s="// %txt"><l>KEEP SAFE DATIRIS USE A NEW FILE FOR WORKING</l></custom-block><block s="doSetVar"><l>datirishuf</l><block var="datiris"/></block></script></block-definition><block-definition s="tgt %&apos;spe&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>lis</l></list></block><block s="doSetVar"><l>lis</l><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></block><block s="doReplaceInList"><block var="spe"/><block var="lis"/><l>1</l></block><block s="doReport"><block var="lis"/></block></script></block-definition><block-definition s="inimem" type="command" category="sound"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>mw2</l><custom-block s="mkmz %s %s"><l>4</l><l>10</l></custom-block></block><block s="doSetVar"><l>w2</l><custom-block s="adb2m %l %l"><block s="reportNewList"><list><l>0.5</l><l>0.5</l><l>0.5</l><l>0.5</l></list></block><block var="w2"/></custom-block></block><block s="doSetVar"><l>mw3</l><custom-block s="mkmz %s %s"><l>3</l><l>5</l></custom-block></block><block s="doSetVar"><l>my2</l><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></block><block s="doSetVar"><l>my3</l><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l><l>0</l></list></block></block></script></block-definition><block-definition s="cumset" type="command" category="sound"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>mw2</l><custom-block s="adm2m m %l m %l"><block var="mw2"/><block var="w2"/></custom-block><comment w="180" collapsed="false">For the whole elements of a same class, 1,2,or 3 the SET is cumulated. At the end of the run it is averaged. Then is used to make the prevision. See PREDICT </comment></block><block s="doSetVar"><l>mw3</l><custom-block s="adm2m m %l m %l"><block var="mw3"/><block var="w3"/></custom-block></block><block s="doSetVar"><l>my2</l><custom-block s="adv2v %l %l"><block var="my2"/><block var="y2"/></custom-block></block><block s="doSetVar"><l>my3</l><custom-block s="adv2v %l %l"><block var="my3"/><block var="y3"/></custom-block></block></script></block-definition><block-definition s="setset" type="command" category="sound"><comment x="0" y="0" w="214" collapsed="false">A cumulative SET is defined by CUMSET which add each element of the set to is previous value...</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>my2</l><custom-block s="vecari y %l n %s"><block var="my2"/><block var="mot"/></custom-block></block><block s="doSetVar"><l>my3</l><custom-block s="vecari y %l n %s"><block var="my3"/><block var="mot"/></custom-block></block><block s="doSetVar"><l>mw2</l><custom-block s="matari m %l n %s"><block var="mw2"/><block var="mot"/></custom-block></block><block s="doSetVar"><l>mw3</l><custom-block s="matari m %l n %s"><block var="mw3"/><block var="mot"/></custom-block></block></script></block-definition><block-definition s="ertf %&apos;tt&apos; %&apos;yy&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l><l>b</l><l>c</l></list></block><block s="doSetVar"><l>a</l><custom-block s="fmap2 %cmdRing %s %s"><block s="reifyReporter"><autolambda><block s="reportDifference"><l></l><l></l></block></autolambda><list></list></block><block var="tt"/><block var="yy"/></custom-block></block><block s="doSetVar"><l>b</l><custom-block s="fmap2c %cmdRing %l %l"><block s="reifyReporter"><autolambda><block s="reportProduct"><l></l><l></l></block></autolambda><list></list></block><block var="a"/><block var="a"/></custom-block></block><block s="doSetVar"><l>c</l><block s="reportQuotient"><block s="reportMonadic"><l><option>sqrt</option></l><block var="b"/></block><block s="reportListLength"><block var="tt"/></block></block></block><block s="doReport"><block s="reportProduct"><block var="c"/><l>1000</l><comment w="146" collapsed="false">Evaluate the gap between target and output. It should normally go down with runs going on.tt=target tt=y3</comment></block></block></script></block-definition><block-definition s="predid id %&apos;ela&apos; cla %&apos;cl&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>m2</l><l>m3</l><l>xy2</l><l>xy3</l><l>a</l></list></block><block s="doSetVar"><l>ela</l><block s="reportListItem"><l>5</l><block s="reportListItem"><block var="ela"/><block var="datrain"/></block></block></block><block s="doSetVar"><l>inp</l><custom-block s="modlis %l %l"><block s="reportListItem"><block var="ela"/><block var="datrain"/></block><block s="reportNewList"><list><l>1</l><l>2</l><l>3</l><l>4</l></list></block></custom-block></block><block s="doSetVar"><l>m2</l><block s="reportListItem"><l>4</l><block s="reportListItem"><block var="cl"/><block var="memat"/></block></block></block><block s="doSetVar"><l>xy2</l><custom-block s="mky v %l m %l"><block var="inp"/><block var="m2"/></custom-block></block><block s="doSetVar"><l>m3</l><block s="reportListItem"><l>5</l><block s="reportListItem"><block var="cl"/><block var="memat"/></block></block></block><block s="doSetVar"><l>xy3</l><custom-block s="mky v %l m %l"><block var="xy2"/><block var="m3"/></custom-block></block><block s="doSetVar"><l>a</l><custom-block s="fmap %cmdRing %l"><block s="reifyReporter"><autolambda><custom-block s="jfixed %s %s"><l></l><l>2</l></custom-block></autolambda><list></list></block><block var="xy3"/></custom-block></block><block s="doReport"><block var="a"/></block></script></block-definition><block-definition s="mkmz %&apos;hei&apos; %&apos;wid&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>a1</l><l>b</l><l>lis</l></list></block><block s="doSetVar"><l>a1</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>b</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>lis</l><block s="reportNewList"><list></list></block></block><block s="doRepeat"><block var="wid"/><script><block s="doAddToList"><l>0</l><block var="a1"/><comment w="177" collapsed="false">Make a matriw filled with zeros</comment></block></script></block><block s="doWarp"><script><block s="doRepeat"><block var="hei"/><script><block s="doSetVar"><l>b</l><block var="a1"/></block><block s="doAddToList"><block var="b"/><block var="lis"/></block></script></block></script></block><block s="doReport"><block var="lis"/></block></script></block-definition><block-definition s="idcl cl %&apos;cl&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l><l>lis</l><l>c</l><l>lisb</l></list></block><block s="doSetVar"><l>a</l><l>1</l></block><block s="doSetVar"><l>lis</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>lisb</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>c</l><block s="reportListItem"><l>5</l><block var="datrain"/></block></block><block s="doRepeat"><block s="reportListLength"><block var="datrain"/></block><script><block s="doSetVar"><l>c</l><block s="reportListItem"><l>5</l><block s="reportListItem"><block var="a"/><block var="datrain"/></block></block></block><block s="doIf"><block s="reportEquals"><block var="c"/><block var="cl"/></block><script><block s="doSetVar"><l>lis</l><block s="reportListItem"><block var="a"/><block var="datrain"/></block></block><block s="doSetVar"><l>c</l><block s="reportListItem"><l>5</l><block var="lis"/></block></block><block s="doAddToList"><block s="reportNewList"><list><block var="a"/><block var="c"/></list></block><block var="lisb"/></block></script></block><block s="doChangeVar"><l>a</l><l>1</l></block></script></block><block s="doReport"><block var="lisb"/></block></script></block-definition><block-definition s="ch3 %&apos;nl&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>dif</l><l>der</l><l>c</l></list></block><block s="doSetVar"><l>dif</l><block s="reportDifference"><block s="reportListItem"><block var="nl"/><block var="y3"/></block><block s="reportListItem"><block var="nl"/><block var="target"/></block></block></block><block s="doSetVar"><l>der</l><custom-block s="activd %s"><block s="reportListItem"><block var="nl"/><block var="y2"/></block></custom-block></block><block s="doSetVar"><l>c</l><block s="reportProduct"><block var="dif"/><block s="reportProduct"><block var="der"/><block s="reportListItem"><block var="nl"/><block var="y2"/></block></block></block></block><block s="doReport"><block s="reportProduct"><l>0.5</l><block var="c"/></block></block></script></block-definition><block-definition s="jfixed %&apos;nb&apos; %&apos;dec&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>nb</l><l>dec</l></list><l>return nb.toFixed(dec);</l></block><list><block var="nb"/><block var="dec"/></list></block></block></script></block-definition><block-definition s="fmap2 %&apos;func&apos; %&apos;lista&apos; %&apos;listb&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%cmdRing"></input><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>func</l><l>lista</l><l>listb</l></list><l>var result =[],srca=lista.asArray(),srcb=listb.asArray(),len=srca.length,i=0;for (i=0;i&lt;len;i+=1){result.push(invoke(func, new List([srca[i],srcb[i]])));}var sum = 0;//for(var i = 0; i &lt; result.length; i++){//sum += result[i]}//return new List(result);</l></block><list><block var="func"/><block var="lista"/><block var="listb"/></list></block></block></script></block-definition><block-definition s="activd %&apos;val&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doIf"><block s="reportEquals"><block var="acd"/><l>1</l></block><script><block s="doReport"><custom-block s="sigd %s"><block var="val"/></custom-block></block></script></block><block s="doIf"><block s="reportEquals"><block var="acd"/><l>2</l></block><script><block s="doReport"><custom-block s="relud %s"><block var="val"/></custom-block></block></script></block><block s="doIf"><block s="reportEquals"><block var="acd"/><l>3</l></block><script><block s="doReport"><custom-block s="elud %s"><block var="val"/></custom-block></block></script></block></script></block-definition><block-definition s="elud %&apos;val&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>par</l></list></block><block s="doSetVar"><l>par</l><l>1</l></block><block s="doIfElse"><block s="reportGreaterThan"><block var="val"/><l>0</l></block><script><block s="doReport"><l>1</l></block></script><script><block s="doReport"><block s="reportProduct"><block var="par"/><block s="reportDifference"><block s="reportMonadic"><l><option>e^</option></l><block var="val"/></block><l>1</l></block></block></block></script></block></script></block-definition><block-definition s="activ %&apos;val&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doIf"><block s="reportEquals"><block var="ac"/><l>1</l></block><script><block s="doReport"><custom-block s="sig %s"><block var="val"/></custom-block></block></script></block><block s="doIf"><block s="reportEquals"><block var="ac"/><l>2</l></block><script><block s="doReport"><custom-block s="relu %s"><block var="val"/></custom-block></block></script></block><block s="doIf"><block s="reportEquals"><block var="ac"/><l>3</l></block><script><block s="doReport"><custom-block s="elu %s"><block var="val"/></custom-block></block></script></block></script></block-definition><block-definition s="setpar ac %&apos;p1&apos; acd %&apos;p2&apos; erm %&apos;p3&apos; mxr %&apos;p4&apos; cl %&apos;p5&apos;" type="command" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%s"></input><input type="%s"></input><input type="%s"></input></inputs><script><block s="doSetVar"><l>ac</l><block var="p1"/><comment w="90" collapsed="false">Activ Funs for w2</comment></block><block s="doSetVar"><l>acd</l><block var="p2"/><comment w="90" collapsed="false">Active Func for w3.</comment></block><block s="doSetVar"><l>erm</l><block var="p3"/><comment w="90" collapsed="false">Minimum for Error..</comment></block><block s="doSetVar"><l>mxr</l><block var="p4"/><comment w="90" collapsed="false">Numùmber maxi of runs</comment></block><block s="doSetVar"><l>cl</l><block var="p5"/></block></script></block-definition><block-definition s="chkpred id %&apos;element&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l><l>b</l></list><comment w="115" collapsed="false">CHECK RESULT OF PREDICTING PHASE. OPEN FOR COMMENTS</comment></block><block s="doSetVar"><l>a</l><block var="element"/></block><block s="doSetVar"><l>b</l><block s="reportListItem"><l>5</l><block s="reportListItem"><block var="element"/><block var="datrain"/></block></block></block><block s="doReport"><block s="reportNewList"><list><custom-block s="predid id %s cla %s"><l>1</l><l></l></custom-block><custom-block s="predid id %s cla %s"><l>2</l><l></l></custom-block><custom-block s="predid id %s cla %s"><l>3</l><l></l></custom-block><block s="reportNewList"><list><block var="a"/><block var="b"/></list></block></list></block></block></script></block-definition><block-definition s="mkyn %&apos;yy&apos; %&apos;ww&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l><l>lis</l></list><comment w="151" collapsed="false">Makes the product of vector yy and matrix  ww.The result is valorized by the activity function. A naked version exists wiithout valorization. Only sclar products.</comment></block><block s="doSetVar"><l>lis</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>a</l><l>1</l></block><block s="doWarp"><script><block s="doRepeat"><block s="reportListLength"><block var="ww"/></block><script><block s="doAddToList"><custom-block s="psc %l %l"><block var="yy"/><block s="reportListItem"><block var="a"/><block var="ww"/></block></custom-block><block var="lis"/></block><block s="doChangeVar"><l>a</l><l>1</l></block></script></block></script></block><block s="doReport"><block var="lis"/></block></script></block-definition><block-definition s="classer cl %&apos;cl&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l><l>b</l><l>c</l><l>d</l><l>k</l><l>lisb</l><l>cum</l></list></block><block s="doSetVar"><l>a</l><block s="reportListLength"><custom-block s="idcl cl %s"><block var="cl"/></custom-block></block></block><block s="doSetVar"><l>b</l><custom-block s="fmap %cmdRing %l"><block s="reifyReporter"><autolambda><block s="reportListItem"><l>1</l><l/></block></autolambda><list></list></block><custom-block s="idcl cl %s"><block var="cl"/></custom-block></custom-block></block><block s="doSetVar"><l>lisb</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>k</l><l>1</l></block><block s="doRepeat"><block var="a"/><script><block s="doAddToList"><block s="reportListItem"><block var="cl"/><custom-block s="predid id %s cla %s"><block s="reportListItem"><block var="k"/><block var="b"/></block><l></l></custom-block></block><block var="lisb"/></block><block s="doChangeVar"><l>k</l><l>1</l></block></script></block><block s="doSetVar"><l>c</l><custom-block s="copy %s %n times"><l>1</l><block var="a"/></custom-block></block><block s="doSetVar"><l>cum</l><custom-block s="fmap2c %cmdRing %l %l"><block s="reifyReporter"><autolambda><block s="reportProduct"><l></l><l></l></block></autolambda><list></list></block><block var="c"/><block var="lisb"/></custom-block></block><block s="doReport"><block s="reportQuotient"><block var="cum"/><block var="a"/></block></block></script></block-definition><block-definition s="result" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>er</l><l>1000</l></block><block s="doSetVar"><l>nb</l><l>1</l></block><block s="doSetVar"><l>target</l><custom-block s="tgt %s"><block s="reportListItem"><l>5</l><block s="reportListItem"><block var="elem"/><block var="datrain"/></block></block></custom-block></block><block s="doSetVar"><l>inp</l><custom-block s="modlis %l %l"><block s="reportListItem"><block var="elem"/><block var="datrain"/></block><block s="reportNewList"><list><l>1</l><l>2</l><l>3</l><l>4</l></list></block></custom-block></block><block s="doSetVar"><l>y2</l><custom-block s="mky v %l m %l"><block var="inp"/><block var="w2"/></custom-block></block><block s="doSetVar"><l>y3</l><custom-block s="mky v %l m %l"><block var="y2"/><block var="w3"/></custom-block></block><custom-block s="modw3"></custom-block><custom-block s="modw2"></custom-block><block s="doSetVar"><l>end</l><block s="getTimer"></block></block><block s="doSetVar"><l>y</l><custom-block s="fmap %cmdRing %l"><block s="reifyReporter"><autolambda><custom-block s="jfixed %s %s"><l></l><l>2</l></custom-block></autolambda><list></list></block><block var="y3"/></custom-block></block><block s="doAddToList"><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="elem"/><block var="datest"/></block></block><block var="y"/></block><block s="doReport"><block var="y"/></block></script></block-definition><block-definition s="result3" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><l></l></block></script></block-definition><block-definition s="result3 %&apos;out&apos;" type="reporter" category="sound"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doSetVar"><l>er</l><l>1000</l></block><block s="doSetVar"><l>nb</l><l>1</l></block><block s="doSetVar"><l>target</l><block var="out"/></block><block s="doSetVar"><l>inp</l><custom-block s="modlis %l %l"><block s="reportListItem"><block var="elem"/><block var="datrain"/></block><block s="reportNewList"><list><l>1</l><l>2</l><l>3</l><l>4</l></list></block></custom-block></block><block s="doSetVar"><l>y2</l><custom-block s="mky v %l m %l"><block var="inp"/><block var="w2"/></custom-block></block><block s="doSetVar"><l>y3</l><custom-block s="mky v %l m %l"><block var="y2"/><block var="w3"/></custom-block></block><custom-block s="modw3"></custom-block><custom-block s="modw2"></custom-block><block s="doSetVar"><l>end</l><block s="getTimer"></block></block><block s="doSetVar"><l>y</l><custom-block s="fmap %cmdRing %l"><block s="reifyReporter"><autolambda><custom-block s="jfixed %s %s"><l></l><l>2</l></custom-block></autolambda><list></list></block><block var="y3"/></custom-block></block><block s="doAddToList"><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="elem"/><block var="datest"/></block></block><block var="y"/></block><block s="doReport"><block var="y"/></block></script></block-definition></blocks><variables><variable name="lisa"><list struct="atomic" id="2361"></list></variable><variable name="mot"><list struct="atomic" id="2362"></list></variable><variable name="datiris"><list id="2363"><item><list struct="atomic" id="2364">66,6.7,3.1,4.4,1.4,Iris-versicolor</list></item><item><list struct="atomic" id="2365">9,4.4,2.9,1.4,0.2,Iris-setosa</list></item><item><list struct="atomic" id="2366">147,6.3,2.5,5.0,1.9,Iris-virginica</list></item><item><list struct="atomic" id="2367">73,6.3,2.5,4.9,1.5,Iris-versicolor</list></item><item><list struct="atomic" id="2368">143,5.8,2.7,5.1,1.9,Iris-virginica</list></item><item><list struct="atomic" id="2369">77,6.8,2.8,4.8,1.4,Iris-versicolor</list></item><item><list struct="atomic" id="2370">60,5.2,2.7,3.9,1.4,Iris-versicolor</list></item><item><list struct="atomic" id="2371">97,5.7,2.9,4.2,1.3,Iris-versicolor</list></item><item><list struct="atomic" id="2372">10,4.9,3.1,1.5,0.1,Iris-setosa</list></item><item><list struct="atomic" id="2373">51,7.0,3.2,4.7,1.4,Iris-versicolor</list></item><item><list struct="atomic" id="2374">136,7.7,3.0,6.1,2.3,Iris-virginica</list></item><item><list struct="atomic" id="2375">33,5.2,4.1,1.5,0.1,Iris-setosa</list></item><item><list struct="atomic" id="2376">88,6.3,2.3,4.4,1.3,Iris-versicolor</list></item><item><list struct="atomic" id="2377">85,5.4,3.0,4.5,1.5,Iris-versicolor</list></item><item><list struct="atomic" id="2378">70,5.6,2.5,3.9,1.1,Iris-versicolor</list></item><item><list struct="atomic" id="2379">38,4.9,3.1,1.5,0.1,Iris-setosa</list></item><item><list struct="atomic" id="2380">4,4.6,3.1,1.5,0.2,Iris-setosa</list></item><item><list struct="atomic" id="2381">28,5.2,3.5,1.5,0.2,Iris-setosa</list></item><item><list struct="atomic" id="2382">145,6.7,3.3,5.7,2.5,Iris-virginica</list></item><item><list struct="atomic" id="2383">30,4.7,3.2,1.6,0.2,Iris-setosa</list></item><item><list struct="atomic" id="2384">61,5.0,2.0,3.5,1.0,Iris-versicolor</list></item><item><list struct="atomic" id="2385">23,4.6,3.6,1.0,0.2,Iris-setosa</list></item><item><list struct="atomic" id="2386">100,5.7,2.8,4.1,1.3,Iris-versicolor</list></item><item><list struct="atomic" id="2387">94,5.0,2.3,3.3,1.0,Iris-versicolor</list></item><item><list struct="atomic" id="2388">16,5.7,4.4,1.5,0.4,Iris-setosa</list></item><item><list struct="atomic" id="2389">19,5.7,3.8,1.7,0.3,Iris-setosa</list></item><item><list struct="atomic" id="2390">90,5.5,2.5,4.0,1.3,Iris-versicolor</list></item><item><list struct="atomic" id="2391">18,5.1,3.5,1.4,0.3,Iris-setosa</list></item><item><list struct="atomic" id="2392">121,6.9,3.2,5.7,2.3,Iris-virginica</list></item><item><list struct="atomic" id="2393">81,5.5,2.4,3.8,1.1,Iris-versicolor</list></item><item><list struct="atomic" id="2394">142,6.9,3.1,5.1,2.3,Iris-virginica</list></item><item><list struct="atomic" id="2395">149,6.2,3.4,5.4,2.3,Iris-virginica</list></item><item><list struct="atomic" id="2396">47,5.1,3.8,1.6,0.2,Iris-setosa</list></item><item><list struct="atomic" id="2397">13,4.8,3.0,1.4,0.1,Iris-setosa</list></item><item><list struct="atomic" id="2398">133,6.4,2.8,5.6,2.2,Iris-virginica</list></item><item><list struct="atomic" id="2399">112,6.4,2.7,5.3,1.9,Iris-virginica</list></item><item><list struct="atomic" id="2400">68,5.8,2.7,4.1,1.0,Iris-versicolor</list></item><item><list struct="atomic" id="2401">69,6.2,2.2,4.5,1.5,Iris-versicolor</list></item><item><list struct="atomic" id="2402">75,6.4,2.9,4.3,1.3,Iris-versicolor</list></item><item><list struct="atomic" id="2403">40,5.1,3.4,1.5,0.2,Iris-setosa</list></item><item><list struct="atomic" id="2404">46,4.8,3.0,1.4,0.3,Iris-setosa</list></item><item><list struct="atomic" id="2405">5,5.0,3.6,1.4,0.2,Iris-setosa</list></item><item><list struct="atomic" id="2406">22,5.1,3.7,1.5,0.4,Iris-setosa</list></item><item><list struct="atomic" id="2407">101,6.3,3.3,6.0,2.5,Iris-virginica</list></item><item><list struct="atomic" id="2408">29,5.2,3.4,1.4,0.2,Iris-setosa</list></item><item><list struct="atomic" id="2409">148,6.5,3.0,5.2,2.0,Iris-virginica</list></item><item><list struct="atomic" id="2410">49,5.3,3.7,1.5,0.2,Iris-setosa</list></item><item><list struct="atomic" id="2411">132,7.9,3.8,6.4,2.0,Iris-virginica</list></item><item><list struct="atomic" id="2412">125,6.7,3.3,5.7,2.1,Iris-virginica</list></item><item><list struct="atomic" id="2413">20,5.1,3.8,1.5,0.3,Iris-setosa</list></item><item><list struct="atomic" id="2414">124,6.3,2.7,4.9,1.8,Iris-virginica</list></item><item><list struct="atomic" id="2415">86,6.0,3.4,4.5,1.6,Iris-versicolor</list></item><item><list struct="atomic" id="2416">87,6.7,3.1,4.7,1.5,Iris-versicolor</list></item><item><list struct="atomic" id="2417">12,4.8,3.4,1.6,0.2,Iris-setosa</list></item><item><list struct="atomic" id="2418">71,5.9,3.2,4.8,1.8,Iris-versicolor</list></item><item><list struct="atomic" id="2419">137,6.3,3.4,5.6,2.4,Iris-virginica</list></item><item><list struct="atomic" id="2420">103,7.1,3.0,5.9,2.1,Iris-virginica</list></item><item><list struct="atomic" id="2421">56,5.7,2.8,4.5,1.3,Iris-versicolor</list></item><item><list struct="atomic" id="2422">119,7.7,2.6,6.9,2.3,Iris-virginica</list></item><item><list struct="atomic" id="2423">17,5.4,3.9,1.3,0.4,Iris-setosa</list></item><item><list struct="atomic" 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struct="atomic" id="2814">1</list></item><item><list struct="atomic" id="2815">3</list></item><item><list struct="atomic" id="2816">1</list></item><item><list struct="atomic" id="2817">2</list></item><item><list struct="atomic" id="2818">1</list></item><item><list struct="atomic" id="2819">1</list></item><item><list struct="atomic" id="2820">2</list></item><item><list struct="atomic" id="2821">1</list></item><item><list struct="atomic" id="2822">3</list></item><item><list struct="atomic" id="2823">3</list></item><item><list struct="atomic" id="2824">3</list></item><item><list struct="atomic" id="2825">3</list></item><item><list struct="atomic" id="2826">3</list></item><item><list struct="atomic" id="2827">3</list></item><item><list struct="atomic" id="2828">3</list></item><item><list struct="atomic" id="2829">1</list></item><item><list struct="atomic" id="2830">1</list></item><item><list struct="atomic" id="2831">2</list></item><item><list struct="atomic" 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struct="atomic" id="2851">1</list></item><item><list struct="atomic" id="2852">3</list></item><item><list struct="atomic" id="2853">3</list></item><item><list struct="atomic" id="2854">2</list></item><item><list struct="atomic" id="2855">2</list></item><item><list struct="atomic" id="2856">1</list></item><item><list struct="atomic" id="2857">1</list></item><item><list struct="atomic" id="2858">2</list></item><item><list struct="atomic" id="2859">3</list></item><item><list struct="atomic" id="2860">1</list></item><item><list struct="atomic" id="2861">1</list></item><item><list struct="atomic" id="2862">2</list></item><item><list struct="atomic" id="2863">2</list></item><item><list struct="atomic" id="2864">1</list></item><item><list struct="atomic" id="2865">3</list></item><item><list struct="atomic" id="2866">1</list></item><item><list struct="atomic" id="2867">3</list></item><item><list struct="atomic" id="2868">3</list></item><item><list struct="atomic" 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id="2777"></ref></item><item><l>0</l></item></list></item></list></variable></variables></project><media name="00-irisxl-nn" app="Snap! 5.1, http://snap.berkeley.edu" version="1"></media></snapdata>