data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAbzklEQVR4nO2dd3wUZf7HJw2SUA29SkCBDbAhlJDQEjqhdxRBEA44EARFOSzgIdydx3lYTs8G6hUr3qE/yyE2xMND2DSTkEAgJCFsnbazfXdmPr8/ZjK7gdACYbLJvF8vXi929tlnv7P7yfM83/I8S0BDQ0UItQ3QaNpoAtRQFU2AGqqiCVBDVTQBaqiKJkANVdEEqKEqmgBvgnOb5qN8+6/UNiOs0QRYR84+NB8GHQGDjkDZ1qVqmxO2aAKsI6UbZsOgI5CtI3BeE2Cd0QRYR9gjnykjIG9n1DYnbNEEWEcMOgKGAZEonKGDQad9jHVF++TqgCEpEnkjO0jCEwUYdAQCtE1ts8ISTYA3SFlZGZJiCWX6tR14Ezkp8Xhk3Vp8+umnapsXdmgCvAFEn1dyPAZGS+L76A0IbidKlo7BCV0ETg6OU9vEsEMT4A1wbtMC5A5rhfzxPaVpl7RAFHgYkiKQo4/BLxMTQX3+ntpmhhWaAK+TAEMif2xXGHQESpaNQdGcZJQsGwvTvmeRk9wcBh2BX8b1gGFQNMRAQG1zwwZNgNeJ5cevYNARKF03HRf2PIb8MZ3x8++3ImdoS+SkxIM9+qWyLtS4frRP6zpJaBEPg45A8YKhitBO6AgcmpeG/MxuMOgI5KW3g0FH4MejR1FVVaW2yWGBJsDrIHd4a0V03qrzAABf1Xn8MuFOCC4HArQNATsNweVU2n24dZ26RocJmgCvQYClFFFV7N4gx/7EWtue3TgX2QOjkTdKihF6Sgtvs7XhhybAqyDyAUV8lbs3IntgFAw6AoLLUUtjUWlbvDgVeenttfXgdaB9QlchNzcXP43qjMLp/WHQEcjP7A5P2Wl89913l7V98/XX8NN9majauw2F0/ujcLoOF194UgWrwwtNgFdCEHD0L88qo1pOShwMOgJFuzbhYB8CRUVFSlPeyeHnLw7CkBQB+tBHyB4kBapL/vQb/K8/AW9FqYo30rDRBHgFeKcdBh2Bwqy+sL7/qnTNwUneblZf8ByrtD27aQHyRnVAXno7AIAo8HCXFqJo9iD8Mq4HRL9PlXsIBzQB1kbIeo7811sw6Ag4C07irFwDWLx4BHJT28L+02GY9v1RaZub2lZaI3pcynqxOmyjUTvaJ3MpggDDgEhppBvVUVr7jemEbDnbYdARuLBnCwxJkcpjg47AuYcXK/8/u2FOjecMOgKVv39I7TtrkGgCvASv14t+crVL9sBolD26BNmD49AiUrqWN6YzKv/wMAw6AiO7tIX5ozcUkeWN7IDjC1IxbdxYKTWX2QN5Yzohe1AMvJVn1b61BokmwBBEv18RE/Pdp7C+/wo8pUVwFpzEO++8A+Oru2D7eB94O4PyZ9bj9ddfhyAIsH28D5W7NsB24E34WAo///wzqP/7J/xWI+zHvsLpZRkomJSIvLQEtW+xwaEJMATzvj3IS0tA8eIR0lrO57kl/RbNGIC89HY43DcSk7u1uSV9NhY0AcqIAT+yk5vjZPVOt8eWImdw7E33a//xPyjM6otzmxcgN7UtsgdFa9NxCJoAZVxF2VK1y6+nS07D7x5Cxa4H4Xe76tyn12aGISkCBRN7IX9sF9mx6VAjhNPU0QQIwOfzoWsMgbwDf1c2Gxl0BMr++x36xhLgeb5O/X703O+wZGCvGt7wqXnJiI+NxeRJE2/xXYQnmgAFAdkDo5WKF97FQeR5OAtOKqLxnC26dj+X4DNWBB2abw+C/f4zJb6YM7SFFhuUafKfAnfyB2QPCMb0mG8OIkBbpcdJEcGiAlG4/k5FUdk1VzApETwn7Rsu27IY2cnNcGpushQvfGhePd1V+NCkBSgKfLDOr/IcsgdI2YucYa1QsUsqvSqaNQgGHQH3DZRW2Y8dRsHk3sgeEImcoS2l6XzLPUr/Zx+chZwhLZCTEl+PdxceNGkBvvvuu/h5WBuU/noazj28EL+M646K/3yMnAXDQX3xPkqWjoFBR+D0inHSC65QBxiKKIq4d/xoFK2aDOPrv5MEPTgOH771JtgTPyB7YDRchSdRNHMAzqzU1oFNVoCi34eD+169LGX29fO7sWPHDuWxqzgfeSPb43BmIg49sf6a/TpLi/D+2mBa7uIrO2HQEejevTt4O4PsQTHBPPOnf8fOu1ph947tt+GOGyZNVoDU5+/Ka7TecBacgCjwNQpN/TYTRNn7LXt0CQw6AlXffXbVPgMMqewLoT75W8gzNUdOnmMheILl+9bSkusaXRsjTVKAIh9c+7nPFkp7fClrrW25E0dqhlHmD71iv4XT+6NwZpLS1v7DF7W/f0BK+WXrmyltm2rJVpMToMgHYBgYBUNSBIrmpgTF8uOhy9r6TBeU5/Mzu0n7fnWEFFK5BDL/hCSq5FiUrpuB/NEdrxhqcVedv2zqL16cesvvNRxocgKkaRof9K6u32sDg46A31QpPXehvEbbVatW4YPpQ5Gf0TW4pjt5DJPHjIR4yZTZrVs3nBjWRvGeDToCPstFfPP115fZEBkZif/qYxUnx6AjUHH4Exw4cKD+bryB0qQEGFrtwrMMKndvhPWDV2F97xV8OCutxojFs5QyRVr+9jwuvvgULuzZAvP+PVKBakm+0rZwug6V7+xF6bqZ4DkGF198Cue3Lg0KkSaVtrlpCcgd1RHs0S/hzD8O+ov3YXz5aRh0BE42weB0k7rjcw/Nk7zPg+/AkBQBAPCZKuWgcyRyhrdBxc514B12FM6Q1nLcf79CRfU50KKIvFEdULZ1Kc48MEHpt+TedJzbcg/Kf7sWYsAvXxuJ3OFtcGb9TEnwDin/qxStbpyjrPus772Cgsl9kD+6Y5M7W6bJCNBvNUpVzEmR8JQVo2zLvcjP6IqSJaOUNVjRzAEomNwHgtcdzIx8fVAKx5zKwYU9j0pB5a33oTCrL9gfvkD59l/JxajtkTM4Dua3noPrVA5yhrdGzpAWOLflXhTNHgTRJ4mtcLouWMCa3g7s959LscYHJiBncKxUBuZ1q/xp3T6ajACPJ0lZiIqd66QMx+xByBkcV8MRKF2ThVMLh8N8YJ80zWb/KJfkd8bFl7aj+J506YSstAScXT8TuSPuQPbAaFTu3oCz8khXPW3nDm+NgkmJSkqPPvwvuco6ChXPPBhSRS2l+tzFecpaU/R71f64bhtNRoAXP/mH8qUXTL4LBh2BZtFR+OahJTVEuGPDWjw9a5zyuDp9ltq9gyKYU/Mk73n56KGo3B10OgomJuLIFB36NJe3cg5poTyn79FZupYcC0NSBAw6Akf+9jp6JrRR2jjzj4eEZG4g9xzGNHoBiiKgJ4xIb2XC81tZ+EyVyjqtoKCgRvzNWXACJBl0GAKkGQCUciz60EdwFpyA4HHB73LA65Eqpn0Xy2E78CY8ZSXw28xwuVzwm6XDiUSBh/diBXJycqTHPh+85afBfPtJ8H3zj8Nh+BEAYC/ZCZIkQJIREIQL9fWxNBgavQBXTyChJ4yY0tMCPWFs0AkHnj8DiooHSRKg6fZwOJarbVK906gFaKcFDIs1YcsCBqUFfmQlWvC355wNVoQkGQe7fTJ4vhAkGYGTJ5vj22/XqG1WvdKoBfjfo9kYEmOCnjBi+woWesIIPWGEk/OrbdplCIIAt3snKCoWJBkJh+N+XLwYA4tlidqm1SuNVoCiCCT26ouhzSvw87c+RXy7HixDM6KH2ubVQBRFEASBqio9SJIAy44ETfcCTesRF9dovyIAjViAs/pZFNFRFgECD3zzL49yLftow0n+c9w8kCQBiooFRbWQr/pBkhGw2yeBJBvt19Q4BejziorQ5utt0BNG+P2SN5wcYcSaiZJjUn66YRwmLomvJSiqDUiSgCBUgSQJOJ3rZI+YAMfNVdvMeqHRCbA67LL/Dw5k9QqOgiszJNFNvVO69s8XnJjdv/YSrNsJw9wFikpQhEZRbeB27wFJEmCYFHlNKIVlAoETapt7y2l0AiwqKsLd0f9EarxJEd/s/kYsnL8C47uapen3Bx8m9bBgyp0WuFx13/d7K0hL6wiG6QWGSQTLpoJlU5GVRYBlh4Cme8JuzwBJRsHpXINLC1sbA41KgKIIDIs14d03T2LnahZzkqzYtoSB1WrF/v37Ma23Bc9vtYOlBKS3NmHXg2a0I+6HzabO77yRZDN8//1kkCQBt/vPYNkhcLm2YeHChfD7v4LTuRp2+zh4PC+BprsgI4PAuXP7VbG1vmhUAvz0Hbcy6q2eQF617cZZtNK2rPj2rwW93vfBMH1BUTFgmL5Xbet275Wn4RgwTBKAW3NmTUOgUQlQTxiR2dGMtJbS9HuxvPYTDSb3CK4N//SIHXrCiMqzdTv9oG7w4LhZoKgokGSc7HA8gtqmWFF0giQJ2O3pSpYEaDzFCo1GgEObGTGseXDdpyeMeO8lZ61th8cZMb6LGcNjpfap8SbMSTLdNlsLC3+U023tQJJRoKi2svdbeVlbkowERbVSnBQpS0JAFBvHj2Q3CgFaLBZEEXfIwjMhraUJU+60YM2aNXA6a4rwyy+/xF3EJ4pIFw2xITXeiEgiFv/73/9ui72tW7eGxdIbJBmpCGvv3r24cKFm8QHHcSAIIiQUMxUkSeCzzz5GYmK322JrfRP2AhRFICXaiINvubBsJIlfjktptjd2cdATVRgSY4Qgz66717FKLJChBJQWBFBa4IeeMOKxZYWYflf9h2Uoqh1ouidIkoDX+08IwkV4PM/BYokGRcXB4Vght+RBkhHg+TyQZCQAEaJIwe3eDZIkYDa3hcOxtt7trW/CXoCb51AYES+NeilRRnz2dzd++sqLwVFGpESbcP8oElmJFgDA3AFWTOxqxpBoIx5dJE1hTk7E6gkU9IQRcwdYYThSfxkSQahURjO3+xnQdHuIohsMkwiGSQLLjpCn2QK4XE/IbaNBUW3B8wUAIF+LgtP5MFh2bL3ZersIawHaKQFpLU1YmUliTIIZyRFGbFnA4N7hNhz/xov5eivGdTJjjs4GxiZiRAsTfj2VxH2pUnbkwOsujO8iOSQL9DYsS7NhZQYJvp6cYpIk4HAsAsdlgSQjwXH3gWWHhgShW8Ll2g2ePwW3exccjrVg2aFgmEFgmIHguGlgmP7guMVgmAGg6UR4veG9hySsBZiRtgQpUdJablofC/7zvltxKka2lhyMwfLzrz/jUNZ96a1MiiecHCFdm9nXiodmSqGZC+duvUdMURTOnWsHls0ARbUDxy2SvdsxcLkeBkk2A0W1UqphJCelo5wPzpLXgHtCMiMEaLobaLrXLbf1dhLWAty/fz9GtrmIWf2sirg6EpswrtcxxSMe2caE5Jbf4tixY9ATRkzvE2xLEATSWl1ESa5fuVZ+hodQD9Xw58+fR17eBEU8dnsmTp7sgEWLxirXGCYFJEmgc+fO8rWg9ztyZFvk5m5THleLN9wJWwGmRBmV0U8UoDga18LnDcbajEaj8n9BAAJywcKEbkaM7nLsltnKcbMV0QhCOQBpjud5HhRFya1qT7OJIlfLVekvRJrSF4IkCQTC9Ffaw1KAlaWBGvG+tZOpa7/oGlRX0OxYxSj9Hjt08wHfQOB4SDHBj7Dbp950nwDgcKy8ZDSccUv6vd2EnQBFERjW3IT1WRSeXsUgOdKIUW3NYMibmzcdrIAxCWYMbWbC0hE2HP7Yg81zadTxeGgZP2i6I5zOdYqzQVGx8Pk+vilbAciFq0NB031BUW3BMH3BcffedL+3m7AT4LPPPosRrcox+g4zhsQYMTrBjAldzPC46i7Agl8K0IzoCT1hREq0EWktTXhmrRQzLCosqXO/JSUlePXVPrDbFyniI8kolJXtqXOfANCzZ0+Ul0+U6wdjQFFR8Pm+xJEjz91Uv2oQVgL0uETcN6YYW+4/ikMfSNXNM++2YGw7MyKIqJD11I3x8nYOf975Dc6dCqD8dAB+n7QWXDvFguZEbwh19Eo47iMcP75QzvVuhChScDjWoFcvAh9/vLNOffr938Ng6AC7fRYcjiXguHmgqBYgyVi0aRMJp/Pah2g2JMJKgJ+/G6x2+cfz0u42xibtfJvUTZo+r9cZCWVOkhWZHaVaQY4R4PeJWDTEpnjSq8dTN1yKx/NFytqPpjtDcjz4GgWoHs+LN2wryw6QBUfA5XoMAOD17pdF/mu5WCF86gbDSoDV4pvUXRKL1y0q02a1WE5l39iOt+Icfw2HZucaFhwjSKLsYMaGGTTWT6Pg89zIlyrKHuq94LipYJi+4PkipdJZCrn0gsfzyg3Z6vW+HxK0bqaIjaLagqYTQFHNw65aJmwEmBJtxKRuFiVwPLK1CZN7yMHmSCOGx5qUsMz1QlkE6Akj0lqZMDxO6mtITLXILUhvbcI9Q214YCyJ5x6pLRxSOwbDxBoeKsfNDxHewBARNQfPl11Xn6IogqZ7gWEG1MickGREyHtFgaI6ySJsOJuurkZYCNBmsylOgp4wIqODGSNaViGO0CM5MhgP1BNG/HTYe30/6SECHTp0wJzBuTVGwMzkZ7Bo9ibl8apMaS/Jy0+bUVBQcM1uXS4W8fGE7KUOBseNA0kSuP9+ApWVo2oIk2VTUVGRDVGkr9lvdvZPuPPOO0PEFw+aTqlRLUPT3eVcsgHA7axvrDthIUA9YcT6aRS2P8Dg+089oK0CLFXSB1yS64fTLk2PHCNiXGe5FvCto1ft84mlDFKijHh7jxM2Ew87LamWZTnwPPCvN1w4uN+tBKfXTKTwyH2Gq/ZZXTzKMBPk4PDPCASOQRRtOHPmDAKB43C7fw9BqALP54AkCbz9NiGPWFf+qxFFu1wBMxxu9wvg+WLw/FnlNaIoVfHwfAkcjg0gyVhUVhLw+y8/nbWh0aAFKPBARnszZvWzYmgz0zWn1+rc7/KMM1dte75ECmQvH00q4r4SxgoeTy5j8OLjHNJbmfDle1c+u8/n+0IZjXy+qxUJiLJQE0GSHUDTiVfIeEhQVHvY7Rlg2dFwuR7H1ZwM6f3jwbKpoOmGtQG/Nhq0AM+XBLCi9dv4w5TPMKKFGeM6WWD4ofa1zblTkqgO7ndBTxgxsZsFZSW1T0MvPs7hT4/YMaKFCa/9loOeMMJmvHwE8nokJ2dBsk3eyunC3CRrrbliQTCBohLgcj0Kp3OTLDA9BKGilrYXQVHN4fW+DKdzC0gy6oqjoCDYwLLj4XAsB0W1k73f2n9XRBJpOhyOe0BRcaCoVuD56/+FJzVo0ALct0eaTkdFFWL0HWZkdpIqWC6tcgaA0QlBT3jzXKmqZe0k6rJfurxQQWJw9AUMjpScDz1hxLBYE7yey798l8uFnatZjEkwK6drpbc24eihy3fRVVRUhFStTAZFJcBuzwTP1/yhQ1EUsXHjxhCn5G6wbApouvYK57y8liDJlvIarxOczvVyTvnyLQQU1R12e6a8RoxTSvkbMg3auoiICKVkanZ/qYrltddeQ8f2Nb+s0/kexBF6xXHYsVLKYvTpczc2b9pSo+25Uz7cl/Wu0valJzh8+FcGBEFcJuyZM+Ziou7fGNnGhBHyPuMlaZUgCAKFhaEjSwDp6b1RUtJNqXYmSQKlpavRoUMHOBxBJ8PhsGH69OlgmH6w2zNAUa1BkgSOHNmDmJiYGu/v8fyERYsmyf01h90uleSvWjUK/frdjdCp+NSpI4iPj1PEV32kR0REBHbseOrmvoh6pMEKUE9IKbHBUUa4ndIHvXYSpQgn7ydpKq4OpegJI7YtYeD3SW2nhpyKwMoORuGJYMzvrT86QNsE5fXjup7HtN4WyGdX4sllwaKEL96V1n3v7HFCTxgxJbEMb+y2K7ay7BAl/OH1vg1RtIPnDSBJAmVl/WG3Sweai6JHHiGzUL3BCHDD5dqpiJbjFsi9+uUiA2nfsLQJyQ+7PVjSVT29C4IlJNUXAUmYAiiqFRjmLvn11/a01aBBCnBhcrBmT0+Y8MYuB6xVQaE9s0Ya4XheEuqS4SSGREuxQJtRwGf/CGZMpvW2YmovC1yctJ5bkkrinmE2xUnZu9WutB3TzowNMyiUFgSrbeYOkGwpPx3A4iE2TOsdtK20IACf78OQsIpenvL88pTZFQzTTxbbKfj9h0FRMaCoBFBUM7BsCkSRUwLLHDdDFlaZcmCR9K8ZAoGCkOwKIZ+YIAlLmsr7KM8FAt/D7/865PWRoOme6n6pV6BBCdBOC9i5hlWCzctHk8jsaMbY9lLmY/sDDN77izQKvfQ4B4aURDnjLitm9rUq07SeMOKR+Qxe2yk5GJvm0ti+gsGoNma89IQkuN3rWLz5O4cSYtm6WFo3LkqxYU6SFa/udOC9v0gOzVPLWbg4Qamu3vd7BzbMoJAccRE0tQgOx2JFFE7nRnDcbFBUC7hcm0DT3cGyE8Bx0+SjN/QgyWYhsbuO8hqwh5Iz5rjZoOke8r9uShU0RbWA0/mgLKhOcDhWweFYAIpqo4yMDNM3ZDSdLQeqY2oZYRsGDUqAM/sFA8Lju0gbzFeNl0IlP3zuweKhNiRHSmu8KXeasf+FX7BijLTH48nlDJ5czmD3prM4+rkX66ZS+M0SBtvupTHyjjJ89ZEHS9NIDI81Ye9jdjy+lMEfth3Fy0858EAGiWfWsNg0m8bi1DM4uN+F6XdbMSTGhA//6kJWohWr5n2A1RMovLDNjvVZFNLvKMZXH7lBUQlg2Qmw26eBYQbBbp+CwsI/wuFYIXus2+B0/gpFRT3AsmlwOh+Fx/NXOJ2bQdPHIQhVcDp/BYbpD4/nDZSVTYbdvggcNxcezytwu5+H07kSxcUPwm5/DU7nOtjto8Bxc2C1PoizZ/8ChrkLLJsCh2MxOG4qTp9uB5LcCJbNlEfm5BoB8IZEg7ImvXVwY/lLT3DI6m3B/aNIjB+zCM/t+jcWDbYhrZUJB15z4aH5pcjIyEBqvAkbZ1JIjpRe17PTCPzmgWB245EFNLrGrcCxo/mYebcVqXEm3DdCmoKjiQRsmFWlTLN6wogubcbj8w8kO0a0MOGBsdIfwNgx47BjJYO/Ps1hZaYFg1t+C6vRC1HkwDCDQNM94PcfQnn509i8eb082swDx0mjY3w8AY/nGEgyWsla7Nu3BatXV58N2BIez4soLm4GlmXh8fwJLtcupfBg5syREIQyRUR+/6coK0vE5s2b4XAsg9O5EQzTBzTdFYmJiXA4qmC3TwHD6GG1ztYEeL38fS+Hbw9e/9knohj8pdPQ+JwoQnFeQqluIwioUWYVCMhl+XJp+6V93TjBeKUoOuH3+0MeOxAa8xNFJ65Wki+K3pDH7iu2vRo03Q42Wyyczo03/Nr6pMEJUKNpoQlQQ1U0AWqoiiZADVXRBKihKpoANVRFE6CGqmgC1FAVTYAaqqIJUENVNAFqqIomQA1V0QSooSqaADVURROghqpoAtRQFU2AGqqiCVBDVTQBaqiKJkANVdEEqKEqmgA1VEUToIaqaALUUBVNgBqqoglQQ1U0AWqoiiZADVXRBKihKpoANVRFE6CGqmgC1FAVTYAaqvL/dFrwJbk5IKAAAAAASUVORK5CYII=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAACtUlEQVR4nO3BMQEAAADCoPVPbQwfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+Bo3+AAF/RMkcAAAAAElFTkSuQmCCde:animiere Setter _ Getter _ Delta _ über _ Sek. beschleunigt _
ca:modifica setter _ i getter _ amb delta _ en _ segons de forma _
pt:anima com modificador _ e inspector _ de _ em _ s de forma _
501de:Grad _
ca:graus de _ radians
pt:_ radianos em graus
0.5de:Fehler _
pt:assinala o erro _
de:gleite _ in _ Sek. beschleunigt: _
ca:llisca _ en _ segons de forma _
fr:glisser _ en _ sec. accélérer _
pt:desliza _ em _ s de forma _
501linearlinear
quadratic={
quadratic-in
quadratic-out
quadratic-in-out
}
cubic={
cubic-in
cubic-out
cubic-in-out
}
quart={
quart-in
quart-out
quart-in-out
}
sinusoidal={
sine-in
sine-out
sine-in-out
}
elasticde:animiere _ um _ in _ Sek. beschleunigt: _
ca:modifica _ amb _ en _ segons de forma _
pt:anima _ de _ em _ s de forma _
x positionx position
y position
direction
size
ghost effect
color effect
saturation effect
brightness effect
fisheye effect
whirl effect
pixelate effect
mosaic effect
negative effect
tempo
volume
balance501linearlinear
quadratic={
quadratic-in
quadratic-out
quadratic-in-out
}
cubic={
cubic-in
cubic-out
cubic-in-out
}
quart={
quart-in
quart-out
quart-in-out
}
sinusoidal={
sine-in
sine-out
sine-in-out
}
elasticy positiondirectionsizetempovolumebalance112de:Beschleunigung _
ca:de forma _
pt:a forma _
linearlinear
quadratic={
quadratic-in
quadratic-out
quadratic-in-out
}
cubic={
cubic-in
cubic-out
cubic-in-out
}
quart={
quart-in
quart-out
quart-in-out
}
sinusoidal={
sine-in
sine-out
sine-in-out
}
elasticquadratic-inquadratic-outquadratic-in-outcubic-incubic-outcubic-in-outquart-inquart-outquart-in-outsine-insine-outsine-in-outelasticunknown easing function ""de:für _ = _ bis _ _ in _ Sek. beschleunigt: _ _
ca:per _ = _ fins _ _ en _ segons de forma _ _
pt:para _ de _ a _ _ em _ s de forma _ _
01001linearlinear
quadratic={
quadratic-in
quadratic-out
quadratic-in-out
}
cubic={
cubic-in
cubic-out
cubic-in-out
}
quart={
quart-in
quart-out
quart-in-out
}
sinusoidal={
sine-in
sine-out
sine-in-out
}
elastic111pt:executa _ em paralelo e espera
each scripttestpt:executa _ em paralelo
6