data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAQAElEQVR4AeydB3xVRRbGP6JiXTv2gr2XVVcFK/YGUhUUUEF6R3qVKiAgKBZsCIiggKJiL2tvuHbBvijKqiiIXQHZ87+TMS+Pl5CEl3dfkskvM/dOuTNzZ753Zk6ZuTmrw1/ogRh7IEfhL/RAjD0QABhj54eqpQDAgIJYeyAtABw6KdZ3CJWX4R5YZwBOe0x65X1pxJQy3Auh6bH1wDoD8OIzpbmjpRfekc7rJjUbFtu7FK/ikDsremCdAejfAhBus4W05AcHxJrdpbse96nhGnogdQ+kDYAUP7m/tHq1o4hcP1vswEhacKEHUvVAWgFIBVDCbtdxJ222sbsyNde06bnpEGnOsy4u+KEH6IG0A5BCR3fAl56cJ51+tKOINY6Sli6XXpvvqGJbWze6XMGvyD1QKgCkQ6GEXC84FV/q2lBaz2rbxKjigVWlvXeWLujrwPjzby5P8CteDxgkSu+lAWHLEdK8Ba6O+0dJb3wgzV8orVgh/fqHBBfdsL9Uu6fLE/xS74GsqqBUAcibPni1hKCadWC93lKrOtL660nPm9iG9EanGxU8zsU1vtLujXtuNMCBlPTgyncP5GTi9aB8W2wq/blSeu8zaeUqV2ulSu7a2kDZvKZU92TpiH2ln36VekxQJFdc9pPLE/zy2QMZASBdN22QE9Fc0UgCeBusL7Wurb//zq4mvWhUcaPKUi4udUsv6RLjnKGeCn/lsgcyBkB6jzUhYEJGuMKoYbVDiM1zYzpKfS6RhrRycTtuKz1g60ZCrBPP7+GoIsJu4oIr+z2QUQDSXYAQCsj91pvjr+kO3yd/HM/8+rvEVM59W1tXdhonTXnEpnVjZvLnDqGy1AMZByCdc11XfOnl99w1lQ9z0mig1OtGl3prH6n5cKmJTeW/Gffcq4kxMm/burG31MYAedMcly/4ZasHMgpA3zVVd3TC6RlPuin1ky99St4V8UzLWopkh0zb182UbjMQMnWTa8dtFK0Rh9p0/eW30sVnuLKgiqQHVzZ6IBYA+q4Z31mC6ehs0ykge+xVn+KuNY40rvlTaf31pSpbOYCt+sulef+wvRXpn/+xiYt58V1pzF0ur4sJfjb3QE7cjbvZON1K1og5IyWo3H2mK0Ze+M1Si7R/1n2bbiR98Lml29S9764WmfDPepJ1IQAe30VavET69xsuA3HooAnB+HANLrt6IHYAwog8aHphNCFH7mfT7IPSH8ZYoEEBQHTXNBNQd7lQ6niN9PYn0uYmUyQ+0QHCvUy9t/GGLpbwhibSQaYzbLJpWgzovjyXI/jZ0AOxA9B3wjnVpf986EIbGYigfAimsSsEOF3Gu6mWHL/9iZ/a/W4MCtSU1NnGtFS26RuuGipLXCKwCQcXbw9kDQDb1pVuNDUcUyogolvqmmYEAwbuoWhbbMad9FeuJsWF8vsTjdJBTQEtKbOvkj5ZJN2Uq2te/J1jgEhvYpSV6/KfyRlcHD2QNQDk5XfdXkJ3fPxh0oKF0pYGOKjZ2cc69d0fRvl22U4CVORP5eCOAStpCK8BWOOzpBYGROK8O/c4aZkBDyYI0Q75fFr6r6HEgnogqwDoG4mMb9BtjpOdMEtqV1+qY5TtdwMgIpei6IcBIfJCyrz9IXxFHLe7M9lhHXdHmfcMkwAk0/3lBtRX50ueCrtcwS+tHshKAPKyJx2BLz36ilTLVHA9G0v1T3FxVbZ017X5cMVY3iDUhgvGGOKyc/OeAqT/OsDKNfkiemjWi7eaYHvIJGnoHRKADPta8vqrNO6yFoBtjEJd3d69MvrgEVOlWU+7cFF9BN5M4f0nSsgJ/zIZ4nrr5X96YHMXzjEuBe6b0FzTrCxZrki+CACRU9ay9ekt95MaXDp7IGsByEseUFVqVdtRKG9ZjdiGtOK4Sf0kOGcYnNonrvkklJCtA4kpE43qwgRNHyz1v0yRMBwxEVQRqpyYN9yXvAdySv5oZp6sebx0VjXp4Zekrf9h98aQlKTmQZc7ivZMrpA6uYwmxqhgl4is0Vtws4EK41jq/tNkk7/87va4zLM1IhvyGxsXnay9SS43hAvvgawHIM2/vKbUs4njWt8xQTRxa3NQqsQ8qOygdKMLUdOdd5w0uIUJuz9WZAy73+5OZHP3U64kzMc6NpC+NG3L9Cfsx2A/jN13ULRWdDmCn9wDawuXCQDyEv/cV+rd1HTDnykCB3GFOcQ5qdIBIfGIXVhTelUdcbhI9POcdOrR0j6m9vvwC2KlrYz6wtAQmtgTX2p8psQWVBgcAH/NDOm7H1xa8IvWA2UGgLxO9UOcTSD3AAg5H/fFdR6ENU+wJ435YJpFvIOWxGKio0Y2sJ55/FXpimuJkZJFP33sx0AbYF76XCpx7dJQGnirBBhJc08Gv7AesG4uLDn70tCMQN0YcFrHQOO4L45D84LRw6F7OUqHTSGGEa1GKKKw7U32iEU29VFuTlJPVT9UkbV203Ok4SayqboTuaQtjVKS90rjrmkXzqUEP1UPJHVrqizZFwc3+4CJSthP3P1i1z4GGmH1pLmSnzZdSmof3TOGCxg3oHVBBvj519JX37n8V09z1jeYf22/jVR5Axef6AO0+jVczDEHuuuwVlIPa9NRB0gsG4hFjtnEuGkATzi4vB4okwD0zQeI7LLzYTY8zX7GWdQASB9f0HWmaUCYjtGYIAOEoeh4gcv97JuOEhJaZjLBwjQjlHHRGZIH2HFGHdlM9eZHErsBkT/WOVGiDtrVO9fKm7IruivTAGQqfuI1adtczQg6ZMAw/78S4GSwWY/1vEGF/gE68qOCO8OYD8rgAeK4okFBjMN9YQ7zL4BHveM6u5ybbuyuyBSx8ib07qcO3K1GSguN6hJXUV2ZBiCDhqZj7124y3MAaPVqF0bw/L5xzkyDAMPF5vcBHZzskNsVMRCXDpVYDybmOnL/xFDq+wlXSMt/kaCkcNiYgaFr9qpDVIK0rdtFin4gP/wkTX9c0ZpzZjG1PConf2UegIxDP+NCGVwAxtZN4hjoewxIj7ysaLCP2M9dyQNVZL2nhD/y4048zIlSPvtK2mA9abutFJ3kkJC1wFu0NHOMiRlkssQW50sDjBH54WfJa3H8g18vdUJxBNvooLHwmfywAyIqR5+vIlxzystLMr0BoE02ki4aII01mRxMBtMn1O1Mm1qZsslDeNSdbsCT3797Y6mSJKZznv12mf4+ycGii/S/7Rau7Lq9JNZ/WyVtP214mivm3OruelMPyce98LaE3pkfyqJvXHp59ssNAP0gAS4MDr7+XtF0Wv0Ql8KpXO5O2m836fpuLgTFbNDX5R1/t4sDgV7GiEHE0bkcbm5qkS5TBija0UfmYw/Cz+/4IZxmPwofi80icScYBR7VXpFckR8RQMShffF5y9O13AFwxhAnNB7VTmJKPO1fbri2y2VUCHECA4OKjA8xC1ww1PGJeaZtMQ61kmVCxIPopfsEqUsjiyjmP3WzrSDVY1MfdbH72Nr1pMMVrQGX/ujiUDmyF/ovW8N+vMiJgqDkrY1hoc0uV/nxyx0AGRooCYPF4n/sdGIkhMruzvnk4XwazLQ8t8uWADhUpnHsBFk3sgGqnckc3VPF96mHtmCR7XXKGD74kpjysVtc9K3E2pS1IOtI1rS0aw8TcCMuQkXIMwjMKQ+1H+Gy7solABkUBh6txI/GlTKQxCW7WcMVcays2UhjSwBrP6hoV6N6nObK80ynpJfU0ZZVRtHe+lDRYUvJ5bCbDwtwlg9QYQDGpn3CPu+dV7q7gc3clR8K+bBXtKJdpPPLlF9uAcgoYMfHtbuJPbimckx5DDTMAulsB2BgoYw+jvh1dbf3kd41cdC1XRVNudSB4JpplrLvvUrih4JoBqOLjSprjT+AjLU2CUt+kDYw7czjJgdtYGVT3trknTyXbS4n2xqU7vYwaKNMrcb0lqpsrFzu6G+cp3GibGhnCiQfO+v8LjzC6XAn/VO6eKB0xjGKmAw0I4hiAA8cM+tQPnVx1RQJ+WGqOmGe4J6rm7blPgPtHf0kymU5gQAegPpN/amez7a4cg9AOhwQQuW4R188yATOPkwcjjwffSEhEMbQgUM02YVHWrocemvq4fB2P20irL7sPEWHdwLE703tR320j41S3Ce7NnWlr2zN+N/FLqXWCRJn5mxj4p5X35deesdRWcDocmSvXyEASPcz8KONEjJQZxkFajxI0aL/xnslKA55WtVWZIq1+WYSFAYAHrQHKel1TO0AzJda72R3V6+GItN/gIQK76EXXXwqH61Lh7HuHdC88H6XnqtoGj9wT0V/LU0YDqhxHJMcRWaZl5Nl7SnV5nS72BXPCQwMGpQOGR/WMAySSzVRTFPpe1tjYe2y1NRlPj5dV8DS8HTpgKp5JRL33JsSHDAywV9+k2CS8nKseccz6J9p+0U2tdPea7tI3XO/07L91u4HxZMYRpAPRzhbXIUCIJ3OoLHHAy0DsraHTFW3/+6kSBfaeur+56Ve10sfmQwOGeHJudtDXY70+VhTs0UUQ1iE3hzAyeYpAHJnrpwwFSOS3IJZw1wM3PrTr0tQRd4L8ZFLkc6tJt3QXfKcNHVwjJ1ngHy+OK5pBWAcL1CSOgEhajamwddszdTnEkcpYAgYfM6mQQdM2QeXwhRMubgDrWz0wLQF8AMM4n/8Fb/oDrERudk3DSfN/UEJ1LVNPQmgNzZRzjWdSZWanm0C9vGKOPIPP3dxcfgVEoB09N2mMdl9R6lFLULOAUyMCNCMeApy2D4urTT9yBrHKqB+u0QMBdeiOj6JxrN9b1K0BpT9NatpXsI/1jzk8VsMSCLM9QqbspES+B9AJoXcFRaAdPx4owa3POCoAJ2P2RZgIC2T0xPbQYe0dO3Y0zQf1F8Sh+oPBodnkzU/xOGg9ly98yBEBEQc/fCUTeXcZ8JVaACyy80PAFMXglwGIBMdn1wH5vtDDYTfmRim7kmKduQl5ylK2L9PQXkxjEDLk/iePJMY5izGgp5Pd3yFBqDvTAZgxmDpzGOlYw5SNI0hoMagQBn8O3xfqdrB0r3PujVbSavmfQAUjk/mJpdzypFSpwskb+DATj6eIR/qy1NzDTgIl7YLAMztYeRuz78lIciFOWEb5rrqgHOLLtalQwPpmk4SBhHeeKFYBeRmBlBsxp8wU4L5QPidmxRdOIqk76XRrdhOCljZy7K8FMROrpbUfgBgQr9gQb3hBi4CmRqfiXChtfnpTWdD/OT+0tRHFHGpMAglqWFYaydOQvwy7m5XFj8uXxbGFwjfkTkiEnr9A8lraHye0r4GACb1sD/8EmZgumlLkpIzGoSKHW1LAkDDIe39Jha/esqAujUzdR9iH8BMGIfOmLN3Ol0jTXpI4vyb4tewbk8EAKboPwaNXW3Nh6dIzHDUzttKGBogLH/rY+n1BdL1s6X6fYveEN4HgHnOnjBM10+/KFJHInI6dG9XT9FLTU/OnPQUU/5KYR8wplOYAVEJ1gAADMpJREFU7GPAAMWI4y35iuidAxVNxUzNV94mrVql6ARXT82K0i7ELOjBfV7CY21ahrpiAPHFN8b8XKVoPejzZOIaAFhAL6MNIQnZGgOH3hgQQkUw1SItUw4GCarFYetQLvYxewYJq23ahVtbeyij7smKPodL3hu6SZh/sQcFowsAffyhpGTOBQAW0td8IMcne0CiosNUiwHnwzo+PRNXvqcCxaIuRERQsbdtWgZYG1eW5jznKCVAIk8qx1qQw5jI8+ALEswO2hG2hyKEx7gh1XOlFRcAWISeZYCRE/a7TLrY9Kk8QhyHUwJEHHGZcCPbSVDgLuNcbVDo5sOk7bZR9PVQAMR381qOlDByZc3ocub5nPqKmOfm+xVtOUWVRyrvw7U4bl3zBgAWsQcRy/ANusTsTF01jnAxvU0PC2UpbTAyVXKQ5sdfSu3HuB2AV14urVhhYFopsb8EUy8+WcY39kbPcFSxxQjXTny2G6ALh5qiDQK0xMfhAgCL0evsTutQP++BA6tKh+4jbbKh9N6nivYBn3KUxD7j0pyeL6+lyAx/4f+kl96VOMkLE37MsDidixZCoTHxGtbSKOaJErv8ko8n8cwN2heeicMFABaz11HX8QiUbuIc6XRTW13fXUKAzQkI2OQB1OfflhDwkg8ZHs+k02HeD5eORfdgA5nfV4zIxtcDCJHxsTaca+s9DBVa1nb7X2iX/2oUzzIlc5KXfzZT1wDAEvQ0A8tjaBHYxIRAF+tlv0cDyoNWpanpl+Fa73tG6mDTJYPOc+lyCMs5nAlVG2Wy0Z5roqOtGLayhCC+1vHSRadz55gWjijGQoY2b5Owed/lKH0/ALCEfczAAig2MfWd6NZZUEGKg5pwRavCPuPel0jjOkvs2eAZ0rA55LqujjUcu+IoBwtursmOHwecOwJn0lgjbrWZBCgxPOide3wd5vykZ9IFAK5DbwNCTlatZGUgq2ObJQt8C/79P/8ziXMA6/VR9KEdTkUAhHxCtt1oB9y/M5fwhukYEUphj9PWn35VpPkg31Tj5tGuYKSw4HOJd1AMf2UXgDF0Vqoq7zXu8pC9FK33mG4Z5MR8kwcoOp4N7QXnzbxjzApgQH7nj4gDkOzYS3yuuPcIp0e2laDGiGlSPY/ckHhOXUDDc+LhpgPuJ0E5M22EQDtwAYD0wjo6rJn5nBhijV5N1izsVOOMESKTgiaF64098I2LNh3sJedIz76lSN2G2o9vkLjU4vkH7SmhyeB8akB9fk9p+c/5ywCE7HsBdBzEiQFCqrVj/qdKLxQAmKa+ZT2163ZSYQdMIiJhzYbmYZcqbiMUH96Z8YR05jGuIaj9+ArT8MkSVxdbdP/saoo4c6jxhacoEpwDRrhhXwoUmPQRbaTWoxSdBlv9EJ+a2WsAYBr7G6rGGpABT2U6xQanvsaQIK9DJsc0ePdQqcpWir4KCigABydhId+b+5IEJ9312jz9bVGai1X36PYmn9zY1p913BOffuUoLG0jBkrY43ruJE7cYlunC2XWDwBMc3+j5uK8FtZUDPbIKW6N5athmsQMimmPaZA9wV64DYNCPgxIuXIyA0YHnN7FmTJ1e0t+3Uh6YY7PjHGAEWZYe+/scgI6zrvpY1ob2ja6g6IvgqLzZjegy5VZPwCwFPp7W5OnrTS1GEWfVV2C0jHghHG39pHuM+algU2RiFDYDAUXikkU6TgoIaITnuOEAwDNUb6ecyaefIU5tpzygcdPjPrxGQko7DTjft/9ROKHAhB5nhO5UOFxn2kXAFhKPY7RAMwHog7AxBoRZT9nU0+8T7rL1n0wH/7rnRwrzOn5ic2BsYmeBZ2WgCXOuM6yO/cPCNnD4kKp/VuNalIGG518DhgijCr4mhOaE5YEPi3T1wDAUuxxNvtAsa69R9FJ+xwHggn8E68r+jzD7XMlzOSrQDFXFdwQpk2fyicpYGT+Yes7gAXVpA7A2Niom8+XfEVOSB4cFI8jPaCAUNnkvJkM52SysopYFxTomTcV7bfAiOCAqhKUDJENtnmc6bfZJoX3TN2TTddcWZF5FXpl1G9TBjqmglP1WReyvuOTENj5dRy7ZnmclAVgAS8ng2GKxWfGaMeauTMXEwCYgb7m9FOqGTkVX8ISmS2QUKMLTpMWLlZ0YKVLTe1DsTY1oMJds6YcP9M0K8Olxd+7/KzvABiAYi8wZeOQ87kczkc1iPkVhyNhpEDsTlXw43EBgBnqd8CBhQwUivMIOYa3zknSY68o2gp5lsnv1taUqQMkTnOFe+7WSKpvzMxvv+d/inqIgblhfYcKECAuWEisxDqT7ZhQQdaAxLbJFdVwn2kXAJjBHgccbDpHZwwQ0cOiS2a/Sc3jitYQrJfb1pMQsey2vcRJBlC/xKehlvMWKDrkCIq407ZS9wluykbmN66TBAfOPmCeO3hP/HhcAGCG+x0mAjN5PgmB3piPZsNksC4salPOMWrJCVYwIDAUVXfM/yT7V6b0d5qWSpbUq6mibxvbrb5dqugr71jxzJtPjKJtn+4u835OcaoMedPTA1BCVGCUVudEiWNAWJcRLqob3jrvACPUd8nPAULikB/uYQBFDES97P/lIz58hGdZkp6Y/Jl2AYCZ7vHc+gADp2AxFedGFfvCdO41KgU9TD3UMfJOl2Ngc4m9LTAnGKG62Pj8AMD4+l4cIolYBOpU0mawK44j12A0CioDEKJbJg+OrzNxIPoOW0vJ60dl+C8AMMMdnlwdMr3Vf0kXDUxOKXqY0xPIzfnWAGzJMkL53f0jFZ3AX+0QCTP82f+W+Gxspwb582U6lJPpCkN9a/bAbNMLY42C/R4bxOFg18xVeAxU7p4nXZ7HXlNkW4jc8Z6nXBw+J/CzXXP8FRIcNHGJX+wknGkXAJjpHk9RH6IYAITVNDLCOc9KtXsoOv8lRfYCo6YNUqTyg6tuW1dC7rjSqCtUsYml8SBfWuo4RvpqCaH4XU78TSgLLchMGwHh1ptLg1pIAIfzCQHPom8VmU0VpRVM6Rg4cOwG+dkaitEDe1YoC8eGeoTZ1W06Jk+cLgAwzt5PUTf2f3V6uQTEK/vuKk1/TIKTBTycZOVSC/bHdDAK951LxyQLoTOiGGIm9ZV6mFCaexgTrnG6AMA4e7+AujEsQE5HMrZ8PZpInIJFmGkVIOIIF+Qw5fLbRMnDV0E5g7rLeGeLSBzg5hqnCwCMs/cLqRsDBkQkAIlsg21aRlwz62lpo8pSZXNrAyH7kllTkg8LGU7hR/wCx436b1EWrAMDABndLHVQQvaO+OYBRszzOQdm5QpFZ9FgGcN3hwEZBq8+r79i9MA9FjJM7VMflfavKmGEOqgZKfG6AMB4+3+ttQM6wOXdMcY4sPMNAMFIIIiG0lHQ/75XJH7BSoawdzA33HMYEZqThqcSkvxXNV0oHj8AMJ5+L1atAAjg7FpFmmmyPsynmJ4TCzl4L2nTDaWODSSOcEPYDGhffs/logw4YY4EGXCLiyuKX9p5AgBLu4fTVD6UjjVbrROk9mMViWWw+fPFs8f3S1vTXTdL+s+HLhbQceICQBx8u4tjHYk5mAvF7wcAxj8GRW4BgJplKrQvvpYaniFxJkziw+xBYaslpl4+3k/Pr81303OVLX1KdlwDALNjHIrcCkBI5hmPS6ko2X67SQ88bxSSTLnOP8OVo+SIJh/XuF0AYNwjUIL6ARKPJcr5CHvXrr4zRuVULh/HM2zFJMz6kWPZuI/bBQDGPQIlrB8RDWs7TOwxu09VzMSeEntCOC3rgn4SG9vJR36sqrmP2wUAxj0CJawfKgZV22cXRWq6hgMkQJZcXI0jFZ2Ez4mtCKD9IZXJ+eIKZy8A4+qRMlZv10auwV0bSlg4QxVxLtY45noS6z2m49v6KPpIDVoQnx73NQAw7hFIQ/1QQsQs7BPxxQFCpt43TCQzpqPEPpBmw4w5Wa1IC+LzxX0NAIx7BNJUvz9siKmZIgElmhKEzoARe0DioH7sCyZPNrgAwGwYhTS0gXMJARgaE3/SFYwKRbPv5IGrTXbY31E/dMnEZ4MLAMyGUUhjGxA8cxilLxJQsuXzzY+kM45RdAQINoE+Pe5rAGDcI5Dm+qGAgI5pF0fxfJar/83Swy85CkhctrgAwGwZibx2pOUOEB5YVZF1DEDE1H/3HdJSdFoLCQBMa3dmV2Hs/aBFgJHPcX20iFB2uQDA7BqPtLcGRgQKyMcKsYhOewXrWGAA4Dp2YLY/jlgGCshe4yGTpKAJyfYRK6ftA4SIX+rWyK4XDBQwu8aj1Ftzx9xSr6JYFQQAFqu7ynZmqCAum94iHwCzqWGhLRWjBwIAK8Y4Z+1bBgBm7dBUjIYFAFaMcc7atwwAzNqhqRgN+z8AAAD//4hNAiMAAAAGSURBVAMA7TStBzTY6MAAAAAASUVORK5CYII= playSound reportJSFunction receiveMenuRequest receiveSlotEdit doExpandSlot reportPollReports the character position (starting from 1) of the beginning of the first input string inside the second input string. If it's not found, reports 0.
pt:a posição de _ em _ addign the 1st if: if small=null return 0 By LouchemanDelete all clones from the current sprite. Block by Loucheman
Delete all clones from a selected sprite. Block by Loucheman
§_objectsMenuDelete all clones from all sprites. Block by Loucheman
de:fange _ _ ca:agafa _ _ es:atrapar _ _ fr:attrape _ _ pt:captura _ _ pl:przechwyć _ _ cont
de:wirf _ ca:llança _ es:lanzar _ fr:lance _ pt:lança _ pl:wyrzuć _ catchtag
de:fange _ _ ca:agafa _ _ es:atrapar _ _ fr:attrape _ _ pt:captura _ _ cont
de:wirf _ _ ca:llança _ _ es:lanzar _ _ fr:lance _ _ pt:lança _ _ catchtagThis block does nothing. Use it when you are calling a reporter for its side effect and don't care about its return value.
de:ignoriere _ ca:ignora _ es:ignorar _ fr:ignore _ pt:ignora _ Returns the function x↦f(g(x)) where f and g are the two inputs.
pt:a composição de _ com _ ca:composa _ _ Like the built-in REPEAT UNTIL block, except that the ending condition is not tested until the script has been run the first time. So the script is run at least once.
pt:repete _ até que _ $loop-0.7 ca:repeteix _ fins _ Runs the script the specified number of times, like the built-in REPEAT block, but this one provides the # variable that can be used inside the script. Try REPEAT (200) MOVE (#) STEPS RIGHT 92 with the pen down.
pt:repete _ vezes _ _ $loop-0.7 ca:repeteix _ _ _ The primitive FOR block uses an implicit step of ±1 depending on which of the starting and ending values is larger. This version allows you to provide an explicit step value. If the sign of the step input is incompatible with the ordering of the starting and ending values, the script will not be run at all.
pt:para _ de _ com passo _ a _ _ $loop-0.7 ca:per _ = _ incrementant _ fins _ _ 1110Extended Tell =========== Same as tell block, but accept list as input Avoiding error when object doesn't exist (like a deleted clone) Block by Loucheman
§_objectsMenuerrorerrorLike the ask block, but accept a list of sprite as input... (always report a list) Example: multi-ask MY CLONES for POSITION Should return: (0,0) (100,0) (123,123) Block by Loucheman
myself§_objectsMenu
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 } elastic
de:Fehler _ pt:assinala o erro _
de: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 _ 501
Catch errors. Runs the first script. If it succeeds, nothing else happens. But if it has an error (something that would otherwise result in a red halo around the block), then the second script is run, with the text of the error message that would have been shown in the variable ERROR.
pt:tenta executar _ e, em caso de erro _ , executa _ ca:prova de forma segura _ i si _ _
pt:a aplicação a _ de _ 1
10Thl to cymplecy and mark4sisb for the block !similar to repeat ... until but will exit straight away if condition is true
11Thl to cymplecy and mark4sisb for the block !
de:führe _ mit Continuation aus Accepts any number of scripts as inputs. Launches a separate thread for each of them, so they are done in parallel, then waits for them all to complete. This doesn't change how the Snap! scheduler works; the threads are not truly asynchronous. And there is no increase in speed. Rather, the point of this block is to allow starting synchronized but independent scripts.
pt:executa _ em paralelo e espera ca:executa en paral·lel _ i espera pl:wykonaj równolegle _ i czekaj each scripttestAccepts any number of scripts as inputs. Launches a separate thread for each of them, so they are done in parallel, then continues with the current script while they all run. This doesn't change how the Snap! scheduler works; the threads are not truly asynchronous. And there is no increase in speed. Rather, the point of this block is to allow starting synchronized but independent scripts.
pt:executa _ em paralelo ca:executa en paral·lel _ pl:wykonaj równolegle _
§_clonablesMenu
10
10
10
10
Center this sprite horizontally on the stage Block by Loucheman v1.0
Center this sprite vertically on the stage Block by Loucheman v1.0
Do an aligment on sprite1 over sprite 2 left-left mean left of the 1st sprite will be align with left of the 2nd sprite Block by Loucheman (v1.03)
left-leftleft-left right-right top-top bottom-bottom center horizontal center vertical center h & v left-right right-left top-bottom bottom-top pivot-pivotmyself§_objectsMenuchoose...§_objectsMenu0the 2nd sprite can be the stage... no error in this case...0can't align a sprite with itself: remove it from the list...sprite1no offset in this caseno offset in this caseno offset in this caseno offset in this casev1.00 : Original block : only left alignment v1.01 : Fusion of 4 blocks (left,right,top,bottom) into 1 block Adding alignment parameter (left,right,top,bottom) v1.02 : More alignment parameters (now left-left,right-right, top-top,bottom-bottom,center horizontal,center vertical, left-right,right-left,top-bottom,bottom-top,pivot-pivot) v1.03 : Adding offset parameterDistribute a list of sprite on the stage with the same spacing between sprites Sprites: Write sprites name into the variadic slot or you can use the helper block (an object picker). Sprite can be: the name of a sprite, an object (like my self or a clone), a list of object (like"my other sprites" or your own list) keep natural order : true: display sprites on the screen in natural order (left to right / top to botton) order to false: display sprites on the screen ordered in order of the parameters See inside the block for an example of how to use the helper block to pick a sprite. Block by Loucheman v1.1
verticallyvertically horizontallytruespritesno duplicated sprites allowed...verticallyspritesreverse: because draw botton to topspacingStagevalue1where to left alignStage#itemwherewhere to left alignspacingStagevalue1where to left alignStage#itemwherewhere to left alignDistribute a list of sprite on the stage with the same spacing between sprites Sprites: Write sprites name into the variadic slot or you can use the helper block (an object picker). You need at least 3 sprite to see an effect... Sprite can be: the name of a sprite, an object (like my self or a clone), a list of object (like"my other sprites" or your own list) keep natural order : true: display sprites on the screen in natural order (left to right / top to botton) order to false: display sprites on the screen ordered in order of the parameters See inside the block for an example of how to use the helper block to pick a sprite. Block by Loucheman v1.1
verticallyvertically horizontallytruespritesno duplicated sprites allowed...verticallynatural order: order by top of each spritespritesreverse: because draw botton to topspacingvaluevaluevalue1where to alignvaluefind the lowest bottom from sprite list, will draw the 1st sprite on the botton from this point#itemwherewhere to alignspacingvaluevaluevalue1where to alignvaluefind the leftiest (?) from sprite list, will draw the 1st sprite on the left from this point#itemwherewhere to alignObject name picker It's an helper block for the distribute horizontally and vertically blocks See inside the block for more info... Block by Loucheman
§_objectsMenuHow to use it ?Drop it into this slot VSet the pivot (rotation center) in the middle of the costume (x & y) Block by Loucheman v1.0
Set the horizontal pivot (rotation center) to the left, center or right of the sprite. Block by Loucheman v1.0
leftleft center rightSet the vertical pivot (rotation center) to the top, center or bottom of the sprite. Block by Loucheman v1.0
toptop center bottomBy Loucheman
falseBy Loucheman
by dardoro
Adding a menu item when you shift+right-click on a custum block to change the displayed order in the palette of this block v1.1 - move to the top, bottom, move up, move down ! Thk to Dardoro
Finds each instance of a block or variable in a project and shows the script(s) it is in (minus any hat block) If you enter plain text, it will return scripts that contain that text. Note: You need to right-click and ringify the block/variable being searched for Block by Cymplecy
result1key1resultvaluesprite refall spritesThk to cameron8299 for the block !
colorcolor RGBAmotionfunction() { var sprite = SpriteMorph.prototype; var opts = []; opts = opts.concat(sprite.categories); opts.push('~'); opts = opts.concat(Array.from(sprite.customCategories.keys())); return opts.reduce((a,v) => ({...a, [v]: v}), {}); }Thk to cameron8299 for the block !
motionfunction() { var sprite = SpriteMorph.prototype; var opts = []; opts = opts.concat(sprite.categories); opts.push('~'); opts = opts.concat(Array.from(sprite.customCategories.keys())); return opts.reduce((a,v) => ({...a, [v]: v}), {}); }4colorrgbafunction validateChannel(value, def, min, max) { value = +value; if (isNaN(value)) value = def; return Math.max(min, Math.min(max, value)); } r = validateChannel(r, 0, 0, 255); g = validateChannel(g, 0, 0, 255); b = validateChannel(b, 0, 0, 255); a = validateChannel(a, 1, 0, 1); return new Color(r, g, b, a);colorcolorif (!(color instanceof Color)) return new Color; function validateChannel(value, def, min, max) { value = +value; if (isNaN(value)) value = def; return Math.max(min, Math.min(max, value)); } var r = validateChannel(color.r, 0, 0, 255), g = validateChannel(color.g, 0, 0, 255), b = validateChannel(color.b, 0, 0, 255), a = validateChannel(color.a, 1, 0, 1); return new Color(r, g, b, a);categorycolorvar sprite = SpriteMorph.prototype; if (sprite.categories.includes(category)) { sprite.blockColor[category] = color; } else if (sprite.customCategories.has(category)) { sprite.customCategories.set(category, color); } else { return; }world.children[0].refreshIDE()thk to cameron8299 for the block !
image/webpimage/webp image/webp-lossless image/png image/jpeg0.95Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.
ca:elimina els duplicats de _
This block carries out the given script for each item of the given list, like the primitive FOR EACH. What's different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.
ca:_ per cada _ de _ _ Delete multiple records from a list recNo should be greater than 0 otherwise it will be ignored by Loucheman
Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot. For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.
ca:ordena _ segons criteri _ pl:$flash sortuj _ za pomocą _ The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.
ca:associació _ _
Return a costume from commands.Last position will be the pivot. ex: goto 0,0 pen down move 10 rotate 90 move 10 By Loucheman
de:Kostüm aus Text _ Größe _ pt:um traje com o texto _ de tamanho _ ca:vestit amb el text _ i mida _ true0.1true
frame
de:Kostüm aus Text _ Größe _ pt:um traje com o texto _ de tamanho _ A72Return a new costume of the color of your choice. Block by Loucheman
Button costume from text v1.1 By Loucheman Create a costume for any button you want ! text: text on the button Size: size of text MarX: left and right margin to increase the width of the button MarY: save as MarX but fot height pensize: thickness of the line Thk Dardoro for the color picker functionality.
Button2020105centerleft center rightcenterupper center bottom
§_costumesMenu
§_costumesMenuthingSelects the specified costume for the cursor.
pointerauto cell copy crosshair default grab grabbing help move not-allowed pointer progress text wait zoom-in zoom-out n-resize s-resize e-resize w-resize ne-resize se-resize nw-resize sw-resize
Hello!2Thl to cymplecy and mark4sisb for the block !
Hello!2Thl to cymplecy and mark4sisb for the block !Button costume from text v1.2 By Loucheman Create a costume for any button you want ! text: text on the button Size: size of text MarX: left and right margin to increase the width of the button MarY: save as MarX but fot height pensize: thickness of the line Thk Dardoro for the color picker functionality.
Button2020105centerleft center rightcenterupper center bottom0
This is a message !2
This is a message !
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 } elastic
de: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 positiondirectionsizetempovolumebalance1 12
00130
00Glide to sprite Block by Loucheman v1.0
sprite§_objectsMenu1linearlinear 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 } elasticThk to ego-lay_atman-bay for the block !
de:gleite _ in _ Sek. beschleunigt: _ ca:llisca _ en _ segons de forma _ fr:glisser _ en _ sec. accélérer _ pt:desliza _ em _ s de forma _ 100linearlinear 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 } elastic
1000Thl to cymplecy and mark4sisb for the block !
1400.220203
Sets the global instrument used for playing notes.
PianoPiano Brass={ French Horn Trumpet Tuba } Strings={ Banjo Bass, Acoustic Bass, Electric (Finger) Cello Guitar, Acoustic Guitar, Electric Harp Koto Sitar Violin } Woodwinds={ Bassoon Clarinet Flute Oboe Saxophone Shakuhachi } Drums={ Cabasa Snare Drum Bass Drum Closed Hi-Hat Open Hi-Hat Mid Tom High Tom Crash Cymbal } Other={ Accordion Marimba Organ Vibraphone }Sets the global volume to the selected percentage.
50Sets the default volume of the selected instrument to the specified percentage.
PianoPiano Brass={ French Horn Trumpet Tuba } Strings={ Banjo Bass, Acoustic Bass, Electric (Finger) Cello Guitar, Acoustic Guitar, Electric Harp Koto Sitar Violin } Woodwinds={ Bassoon Clarinet Flute Oboe Saxophone Shakuhachi } Drums={ Cabasa Snare Drum Bass Drum Closed Hi-Hat Open Hi-Hat Mid Tom High Tom Crash Cymbal } Other={ Accordion Marimba Organ Vibraphone }50Plays the selected note for the specified musical duration. This block waits for the selected note to finish playing before moving to the next block. Notes may be entered as Scientific Pitch Notation (eg. C4) or as MIDI numbers. Note durations may be entered as duration names (eg. half, quarter, etc...) or as numerical values (eg. .5, .25, etc...)
C3 D3 E3 F3 G3 A3 B3 C4 D4 E4 F4 G4 A4 B4 Sharps={ C#3 D#3 E#3 F#3 G#3 A#3 B#3 C#4 D#4 E#4 F#4 G#4 A#4 B#4 } Flats={ Cb3 Db3 Eb3 Fb3 Gb3 Ab3 Bb3 Cb4 Db4 Eb4 Fb4 Gb4 Ab4 Bb4 }Whole Half Quarter Eighth Sixteenth Thirtysecond Dotted Notes={ Dotted Half Dotted Quarter Dotted Eighth Dotted Sixteenth } Triplet Notes={ Half Triplet Quarter Triplet Eighth Triplet Sixteenth Triplet }Plays the selected note for the specified musical duration. Notes may be entered as Scientific Pitch Notation (eg. C4) or as MIDI numbers. Note durations may be entered as duration names (eg. half, quarter, etc...) or as numerical values (eg. .5, .25, etc...)
C3 D3 E3 F3 G3 A3 B3 C4 D4 E4 F4 G4 A4 B4 Sharps={ C#3 D#3 E#3 F#3 G#3 A#3 B#3 C#4 D#4 E#4 F#4 G#4 A#4 B#4 } Flats={ Cb3 Db3 Eb3 Fb3 Gb3 Ab3 Bb3 Cb4 Db4 Eb4 Fb4 Gb4 Ab4 Bb4 }Whole Half Quarter Eighth Sixteenth Thirtysecond Dotted Notes={ Dotted Half Dotted Quarter Dotted Eighth Dotted Sixteenth } Triplet Notes={ Half Triplet Quarter Triplet Eighth Triplet Sixteenth Triplet }Plays a list of notes simultaneously for the specified musical duration. Chords must be entered as a list. Durations may be entered as duration names (eg. half, quarter, etc...) or as numerical values (eg. .5, .25, etc...)
Whole Half Quarter Eighth Sixteenth Thirtysecond Dotted Notes={ Dotted Half Dotted Quarter Dotted Eighth Dotted Sixteenth } Triplet Notes={ Half Triplet Quarter Triplet Eighth Triplet Sixteenth Triplet }Waits for the selected musical duration. Durations may be entered as duration names (eg. half, quarter, etc...) or as numerical values (eg. .5, .25, etc...)
Whole Half Quarter Eighth Sixteenth Thirtysecond Dotted Notes={ Dotted Half Dotted Quarter Dotted Eighth Dotted Sixteenth } Triplet Notes={ Half Triplet Quarter Triplet Eighth Triplet Sixteenth Triplet }Each note duration is assigned a numerical value, with a whole note equalling "1". Dotted Notes are equal to the named note plus half of the named note's duration. Triplet notes are equal in duration to two of the named notes divided by three. Multiplying the numerical value of a note duration by 4*(60 / tempo) adjusts the note durations to match the current tempo.
QuarterWhole Half Quarter Eighth Sixteenth Thirtysecond Dotted Notes={ Dotted Half Dotted Quarter Dotted Eighth Dotted Sixteenth } Triplet Notes={ Half Triplet Quarter Triplet Eighth Triplet Sixteenth Triplet }Reports all notes in a specified scale using the provided note and octave number as the starting note of the scale. To add additional scales to the "Types" script variable, create a list with the name of the scale as the first item and the steps between each note of the scale as the second item.
ChromaticChromatic Major MinorC40 1 2 3 4 5 6 7Reports "#" or "b" of the input scientific pitch notation contains either.
Reports the note in a specific position within a major or minor musical scale. (e.g., The third note in a C Major scale starting in the fourth octave is E4.)
11 2 3 4 5 6 7MajorMajor MinorC40 1 2 3 4 5 6 7Reports the distance in steps between two notes in the selected scale. (e.g., In the C Major scale, there are two intervals between C4 and E4.) If one or more of the selected notes is not in the selected scale, the block reports nothing. Notes must be entered as scientific pitch notation (eg. C4).
C4G4MajorMajor MinorC
Chromatic Major MinorReports the notes comprising a major or minor chord, using the specified note and octave as the root note of the chord.
MajorMajor MinorC4This block finds the notes in a specified chord along the selected scale. Roman numerals differentiate chord positions from octave numbers (e.g., the Roman numeral “I” reports the notes of the first chord in the sequence). Upper case Roman numerals represent major chords within the scale. Lower case Roman numerals represent minor chords within the scale.
MajorMajor MinorC40 1 2 3 4 5 6 7II ii iii IV V vi vii°Major145367Major236145Major72Converts roman numerals to arabic numerals using an association table.
Reports the notes of a diminished chord, given the starting note and octave of the chord.
This block reports a chord and appends an additional note.
May be paired with a musical duration to insert a rest into a sequence of chords.
This block reports a series of beats that tell the drum when to play. Beats are represented as an “X,” which can be typed into the block. Beats can be added or subtracted using the arrows on the right of the block.
This block reports a drum pattern, assigns a drum to it, and sets the duration value of each item in the pattern. Different drums can be selected from the drop-down menu. Beat durations can be selected from the drop-down menu or entered directly.
Snare DrumBass Drum Snare Drum Crash Cymbal Cabasa Toms={ High Tom Mid Tom } Hi-Hats={ Closed Hi-hat Open Hi-hat }EighthQuarter Eighth Sixteenth11 2 3 4 8 12 16 24 LoopLoop
This block is used to group sequences of notes and chords into measures. Each note or chord in the measure is paired with a note duration. The pairs are entered into the block using a list.
This code block groups measures together. This can be helpful for separating groups of measures that repeat in various places throughout a song, like verses and choruses. This block works with both notes and chords. To add measures to a section, put the measures into a list.
This code block specifies the type of track to be played and assigns it an instrument. Both the track type and instrument are set using drop-down menus. This block accepts notes or chords paired with corresponding durations. This block also allows for the creation of note or chord loops that will repeat for the whole duration of the song. Both types of loops may be selected from the track drop-down menu. For a loop to play, it must have an accompanying track that is not a loop.
MelodyMelody Chords Loops={ Loop-Melody Loop-Chords }PianoPiano Brass={ French Horn Trumpet Tuba } Strings={ Banjo Bass, Acoustic Bass, Electric (Finger) Cello Guitar, Acoustic Guitar, Electric Guitar, Overdrive Harp Koto Sitar Violin } Woodwinds={ Bassoon Clarinet Flute Oboe Saxophone Shakuhachi } Drums={ Cabasa Snare Drum Bass Drum Closed Hi-Hat Open Hi-Hat Mid Tom High Tom Crash Cymbal } Other={ Accordion Marimba Music Box Organ Vibraphone }This block is used to play multiple music tracks. In most cases, several tracks with musical instruments are played in parallel.
4/44/4 3/4 5/4 7/4 6/8 9/8 12/8This block determines if the combined durations of notes or chords within a measure are correct. The combined duration of notes within a measure must equal the number of beats specified by the time signature. When reading time signatures, the bottom number determines which note gets counted as a beat, and the top number determines how many beats are in a measure. For example, in 4/4 time, quarter notes are counted as beats and there are four quarter notes in a measure. In 6/8 time, the eighth note counted as the beat, and there are six eighth notes in a measure. The Beats in Measure reports the discrepancy between the number of actual beats in a measure versus the required number of beats. If name durations are not entered correctly, the block reports nothing.
4/44/4 3/4 2/4 6/8 5/4 7/4 9/8 12/8Actual2 of beatsThe Note Duration Value block reports the numerical value of the input duration name. Inputing a list of duration names outputs a list of values.
QuarterWhole Half Quarter Eighth Sixteenth Thirtysecond Dotted Notes={ Dotted Half Dotted Quarter Dotted Eighth Dotted Sixteenth } Triplet Notes={ Half Triplet Quarter Triplet Eighth Triplet Sixteenth Triplet }
C4C3 D3 E3 F3 G3 A3 B3 C4 D4 E4 F4 G4 A4 B4 Sharps={ C#3 D#3 E#3 F#3 G#3 A#3 B#3 C#4 D#4 E#4 F#4 G#4 A#4 B#4 } Flats={ Cb3 Db3 Eb3 Fb3 Gb3 Ab3 Bb3 Cb4 Db4 Eb4 Fb4 Gb4 Ab4 Bb4 }QuarterWhole Half Quarter Eighth Sixteenth Thirtysecond Dotted Whole Dotted Half Dotted Quarter Dotted Eighth Dotted Sixteenth Dotted Thirtysecond Whole Triplet Half Triplet Quarter Triplet Eighth Triplet Sixteenth Triplet Thirty Second TripletThis block assigns a number, frequency, and amplitude to a tone.
11 2 3 4 50.5.1 .2 .3 .4 .5 .6 .7 .8 .9This block turns the specified tone on or off. This block will play a sine wave.
11 2 3 4 5This block turns off all the tones currently playing.
Passes through the signal from a MIDI controller, allowing the user to play the controller using the assigned instrument. The name of the MIDI controller must be input exactly as it appears on the user's computer.
MPK mini 3MPK mini 3 MPK mini play MPK Mini Mk II M-audio Keystation 49esPianoPiano Brass={ French Horn Trumpet Tuba } Strings={ Banjo Bass, Acoustic Bass, Electric (Finger) Cello Guitar, Acoustic Guitar, Electric Guitar, Overdrive Harp Koto Sitar Violin } Woodwinds={ Bassoon Clarinet Flute Oboe Saxophone Shakuhachi } Drums={ Cabasa Snare Drum Bass Drum Closed Hi-Hat Open Hi-Hat Mid Tom High Tom Crash Cymbal } Other={ Accordion Marimba Music Box Organ Vibraphone }
Reports the corresponding note (in scientific pitch notation) for the specified MIDI number, matching the use of sharps and flats to the input scientific pitch notation.
60§_pianoKeyboardMenuSharpsSharps FlatsReports the midi number of the specified note. The note should be entered using scientific pitch notation (e.g., "C4").
Extracts the note name from the provided scientific pitch notation. (e.g., An input of "C4" produces an output of "C".)
Association list for note names and their corresponding MIDI numbers in the first octave. Used to convert note names to MIDI.
Extracts the octave number from the provided scientific pitch notation. (e.g., An input of "C4" produces an output of "4".)
3
pt:a soma de _
Remap a value from a original range of value to another range of value. example: you have a value in a range of 0 to 5 and you want to transpose this value to another range of values 0 -100. in this case: if value = 0 return 0 if value = 3 return 60 if value = 5 return 100 another example: you want to do 2.5D (size change with y position) you can remap the y position of your sprite to obtain the size of your object remap "y position" from range -180 to 180 to range 100 to 10 if y position = -180 return 100 (the size) if y position = 100 return 30 if y position = 180 return 10 use the result to change the size of your sprite ! Block by Loucheman See example at: https://snap.berkeley.edu/snap/snap.html#present:Username=loucheman&ProjectName=remap%20value&editMode&noRun
pt:_ radianos em graus 1.5707963267948966
pt:_ radianos em graus 90By Loucheman
20201By Loucheman
222By Loucheman
12.52By Loucheman
01By adding 0.5 or 0.6, the "pick random" is switching to the decimal world... If (n1+.5) and (n2+.5 (2 integers)), adding .6 instead...
10.123452
1110
de: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-outquadratic-inquadratic-in-outcubic-outcubic-incubic-in-outquart-outquart-inquart-in-outsine-outsine-insine-in-outelasticunknown easing function ""
pt:π
pt:_ radianos em graus 0.5
123.4562
2
3
false@SaveX@SaveY@SaveDir@SaveSize@SaveCostume@SaveGhostEffect@SaveColor@SaveSaturation@SaveBrightness@SaveFisheye@SaveWhirl@SaveNegative@SaveMosaic@SavePixelate@SavePenDown
Declare and initialize any number of variables. Values of earlier variables may be used to initialize any later variables (like Scheme's LET*). Example: LET* ((v1 4)(v2 SQRT OF (v1))), initializes v2 as 2. Thk to qw23 and cymplecy
de:deklariere _ $_variable $_thingsetter
LET (FOO) BE (5) is equivalent to SCRIPT VARIABLES (FOO) SET (FOO) TO (5)
pt:cria a variável de guião _ com valor _
smallsmall medium large x-largefalsesaveFlatLineEndsdistdotLengthspaceLengthnbSegmentnbDotnbSpacesaveFlatLineEndsdistdotLengthnbSegment211should be odd...nbSpace2nbDotspaceLength
false
72
72
Takes three inputs for red, green, and blue values, each between 0 and 255. 0,0,0 is black; 255,255,255 is white. 255,255,0 is yellow, and so on. The SET PEN block in this library lets you set individual red, green, or blue without changing the others, lets you provide a list of three RGB color components, and lets you provide a six-digit hexadecimal number, the form in which RGB color values are usually found online. See Appendix A of the Snap! Reference Manual for details.
pt:altera a cor da tua caneta para vermelho _ , verde _ e azul _ (0 a 255) ca:fixa el llapis al color r: _ g: _ b: _ 25500A better paste on block ! Now you can apply effect and paste on the target with these effects... Block by Loucheman
§_objectsMenu
Calculate the distance between 2 positions (x1y1 -> x2y2) or 2 objects. By Loucheman
Determine x2y2212if parameter #2 is a coordinatePytagore:on trouve la longueur de l'hypoténuse22Calculate the angle between 2 positions (x1y1 -> x2y2) or 2 objects. By Loucheman
Determine x2y2212if parameter #2 is a coordinateangle calculationthetareturn is javascript is enable Thk to Joecooldo
err_reset
Return true if the pivot (rotation center) is on the stage
Return true if the pivot (rotation center) is on the stage (watch only x axis)
Return true if the pivot (rotation center) is on the stage (watch only y axis)
LastKeys
LastKeysvalueindexlist
Thank's @dardoro
Thank's @dardoro
Thank's @dardoro
101 5 10 msThank's @dardoro
10timer: Result:
§_clonablesMenuAllows reading global settings programmatically. Copied from Snap! library.
pt:o valor da configuração _ ca:paràmetre _ Stage sizeProject notes Project name User Presentation mode Language Zoom blocks Stage size Stage scale Retina display support Long form input dialog Plain prototype labels Input sliders Execute on slider change Clicking sound Turbo mode Flat design Keyboard editing Visible stepping Thread safe scripts Prefer smooth animations Flat line ends Codification support Inheritance support Hyper blocks support Visible paletteAllows changing global settings programmatically. This block is for numeric or text settings; use SET FLAG for Boolean (checkbox) values. Copied from Snap! library.
pt:altera o valor da configuração _ para _ ca:fixa el valor de _ a _ Stage sizeProject notes Project name Language Zoom blocks Stage size Stage scale Visible palette
de:erkenne Gesprochenes ar:التعرف على الكلام bg:Разпознаване на изговорени думи hr:Prepoznavanje izgovorenih riječi hy:ճանաչել ասված բառերը ca:reconèixer les paraules pronunciades cs:Rozpoznávání mluvených slov dk:At genkende talte ord eu:ahozko hitzak ezagutu el:Αναγνώριση προφορικών λέξεων es:Reconocer palabras habladas fi:Puhuttujen sanojen tunnistaminen fr:Reconnaître les mots parlés he:זיהוי מילים מדוברות hi:बोले गए शब्दों को पहचानना hu:A kimondott szavak felismerése it:Riconoscere le parole pronunciate ja:話し言葉を認識する ko:말한 단어 인식 no:Gjenkjenne talte ord po:Rozpoznawanie wypowiedzianych słów pt_BR:Reconhecendo palavras faladas pt:Reconhecendo palavras faladas ro:Recunoașterea cuvintelor rostite ru:Распознавание произнесенных слов sk:Rozpoznávanie hovorených slov si:Prepoznavanje govorjenih besed sv:Att känna igen talade ord ti:ዝተዛረቡ ቃላት ምልላይ tr:Konuşulan kelimeleri tanıma ua:Розпізнавання вимовлених слів zh_CN:识别口语单词 zh_TW:辨識口語單字 nl:gesproken woorden herkennen et:ära tunda öeldud sõnu
de:stoppe Spracherkennung
§_clonablesMenu
Ask a question as long as the answer does not meet the condition. See examples inside this block... Block by Loucheman
some examplesThis block replace the "play sound block" - BUG FREE !
§_soundsMenu
de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _ pt:fala _ na língua _ _ com tom _ e velocidade _ ca:digues _ amb accent _ _ to _ i velocitat _ pl:powiedz _ z akcentem _ _ wysokość _ szybkość _ Hello, World!en-USالعربية=ar Български=bg বাংলা=bn Català=ca Català - Valencià=ca-VA Česky=cs Deutsch=de Dansk=dk Ελληνικά=el English-American=en-US English-British=en-GB Esperanto=eo Español=es Eesti=et Euskara=eu suomi=fi Français=fr Galego=gl Hrvatski=hr Magyar=hu Interlingua=ia Bahasa Indonesia=id Italiano=it 日本語=ja にほんご=ja-HIRA ಕನ್ನಡ=kn 한국어=ko Malayalam=ml Nederlands=nl Norsk=no Polski=pl Português=pt Português do Brasil=pt-BR Român=ro Русский=ru Slovenščina=si svenska=sv Tamil=ta Telagu=te Türkçe=tr Українська=ua 简体中文=zh-CN 繁體中文=zh-TW11
de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _ und warte pt:fala _ na língua _ _ com tom _ e velocidade _ , e espera ca:digues _ amb accent _ _ to _ velocitat _ i espera pl:powiedz _ z akcentem _ _ wysokość _ szybkość _ i czekaj Hello, World!en-USالعربية=ar Български=bg বাংলা=bn Català=ca Català - Valencià=ca-VA Česky=cs Deutsch=de Dansk=dk Ελληνικά=el English-American=en-US English-British=en-GB Esperanto=eo Español=es Eesti=et Euskara=eu suomi=fi Français=fr Galego=gl Hrvatski=hr Magyar=hu Interlingua=ia Bahasa Indonesia=id Italiano=it 日本語=ja にほんご=ja-HIRA ಕನ್ನಡ=kn 한국어=ko Malayalam=ml Nederlands=nl Norsk=no Polski=pl Português=pt Português do Brasil=pt-BR Român=ro Русский=ru Slovenščina=si svenska=sv Tamil=ta Telagu=te Türkçe=tr Українська=ua 简体中文=zh-CN 繁體中文=zh-TW11create a DOM button element covering the stage displaying the given label text, if any, blocking the current script's execution until the user has clicked the button, which will enable speech synthesis on stupid iOS / iPadOS devices, where Apple forgot to activate speech synthesis when the user interacts with a canvas element. Sigh. Do this right when you start the project. What a kludge.
de:aktiviere Sprachausgabe _ Reports the character position (starting from 1) of the beginning of the first input string inside the second input string. If it's not found, reports 0.
pt:a posição de _ em _ ca:posició de _ en _ pl:pozycja _ w _ extract a substring from a string from position to another Block by Loucheman
abcdef24Reports the part of the first string up to the first instance of the second string inside it. If the second string isn't found, reports the entire first string.
pt:o texto de _ antes de _ ca:part del text _ anterior a _ pl:podciąg _ przed _ Reports the portion of the first input string starting after the first occurrence of the second string. If the second string isn't found in the first string, reports an empty string.
pt:o texto de _ depois de _ ca:part del text _ posterior a _ pl:podciąg _ po _ by Loucheman Insert a substring into a string at a defined position
Reports the input text with lower case letters instead of capital letters in the input. Uses the user's locale's rules for case conversion.
pt:em minúsculas _ Return a fixed length string align on the center,left or right Hello world,20,left return Hello world_ _ _ _ _ _ _ _ _ (spaces) Hello world,20,right return _ _ _ _ _ _ _ _ _ Hello world Hello world,20,center return _ _ _ _ Hello world _ _ _ _ _ Block by Loucheman
centercenter left rightAdd leading zeros to a number By Loucheman v1.2 useful to display the score in a game example: add leading zeros to (YourNumber) Total length: (5) if YourNumber = 123 then the result is 00123 if YourNumber = 1234 then the result is 01234 if YourNumber = 12345 then the result is 12345 if YourNumber = 1234567 then the result is 1234567 if YourNumber = 12.3 then the result is 012.3 if YourNumber = -1.2 then the result is -01.2 version 1.0 : a zeros with a for loop: 12.2 seconds to treat 100000 numbers version 1.1 : almost 2 times faster with the reshape function: 7.3 seconds to treat 100000 numbers version 1.2 : now accepts negative values
0Add leading zeros to a number By Loucheman v1.2 useful to display the score in a game example: add leading zeros to (YourNumber) Total length: (5) if YourNumber = 123 then the result is 00123 if YourNumber = 1234 then the result is 01234 if YourNumber = 12345 then the result is 12345 if YourNumber = 1234567 then the result is 1234567 if YourNumber = 12.3 then the result is 012.3 if YourNumber = -1.2 then the result is -01.2 version 1.0 : a zeros with a for loop: 12.2 seconds to treat 100000 numbers version 1.1 : almost 2 times faster with the reshape function: 7.3 seconds to treat 100000 numbers version 1.2 : now accepts negative values
is large string contains small string? Block by Loucheman
false
Search for multiple substring in a string and return a list of positions or an empty list Examples: overlap = true 11 in 1110111 return 1,2,5,6 overlap = false 11 in 1110111 return 1,5 Thk to bh for the overlapping search Thk to sathvikrias for the non-overlapping search Assembled by Loucheman
aaaaafalse
*3
3abcdef
babcabcIf input is TRUE, comparisons made by functions in the string library will be case-independent (so "FOO" = "foo"). This is the default. If input is FALSE, comparisons will be exact.
pt:altera comparações ignorando distinção minúsculas/maiúsculas para _
err_reset
This block reports "true" if there is a variable with this given name (input slot) in that context. It can be a global, sprite or script variable. Otherwise it reports "false".
pt:a variável _ existe ca:existeix la variable _ ? es:existe la variable _ ? de:existiert var _ ? err_reset
MySpriteVar
MySpriteVarThis block creates new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in 'names' list). If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.
pt:cria as variáveis _ _ ca:crea les _ variables _ es:crear las _ variables _ de:erstellen _ var _ globalglobal sprite scriptThis block sets the given value (last input) to the variable named with the name givent (var input). It looks for that variable following the scope order 'script' -> 'sprite' -> 'global' (the first match it finds). If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the "does var (name) exists?" block.
ca:assigna a _ el valor _ es:asignar a _ el valor _ pt:altera _ para _ de:setze var _ auf _ §_getVarNamesDict
This block turns on (show) the watcher view on stage (if it was not already activated) of the variable with the given name (slot input). It can only access to the closest variable scope (if there different variables with the same name in different scopes) following the order 'script' -> 'sprite' -> 'global'. No errors if that variable does not exist.
ca:mostra la variable _ es:mostrar variable _ pt:mostra a variável _ de:zeige var _ §_getVarNamesDict
2
§_costumesMenu
$_turbo modeturbo mode=$_turbo mode case sensitivity=$_case sensitivity flat line ends=$_flat line ends log pen vectors=$_log pen vectors video capture=$_video capture mirror video=$_mirror 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132,-160.00000000000006160,20-188,164