<snapdata remixID="9310924"><project name="Mini Lab of the algorithms " app="Snap! 5.4, http://snap.berkeley.edu" version="1"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><stage name="Stage" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="true" codify="false" inheritance="false" sublistIDs="false" scheduled="false" id="1"><pentrails>data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAgAElEQVR4Xu3dMW4j3dLe8Wp9iQwTXyZA0WgLTgw4nZU4fLWMWYZ2M6kBL8ChPZMpuhfGjDFZf+iRRvIVu8lTp9R6yeZPiQIVqe5/PVXPOYdkcfg03n+JIz9DxH+PiP8UEf/rWGzb38f/+hQ3/M+2+GNRnu8YocN/xw+/DAF6ydDaj8UPv2cHbAHxx6S/Dw9Hzbrl+e7G+69T3Lfh4XNL/LEYz3eM0OG/44dfhgC9ZGjtx+KH3x8CQwsKBtxCaTlGweGXIUAvGVoMjl7OVy8MeCZ3BH2+gm65cvltoWRB+YcAvdBLhkBGLwyYAUdGMC1C9HwtlBgcg/MSXE+lbKm/MGAGzIB7usD/95gtNYQWFO63hZIFlgXW8QUWA2bADLjWT/HDL0XAAiaFay94S/wYMANmILV+gB9+KQJbMpCWG3e/y5QYMANmIC1d5ECMBlMDiB9+GQJb0stwN/71GDH8v8MAxtuI+LeI+HkE1H9+/vvBuDGGf5/ihhj/r+f7FwL4zQiCXharhF7oJdTHudbHcD0Z8D8ihn8eNsLhJmL8t4jx16G4ViGMMeyeDfiH53slgN+8GuhlkUvTQhY//CYC+sup9Zer3TAN2TDhKnMA8hq7paOQFgLut4XScgx++GUI0EuG1n7sOfBjwIUcn0OCp9sz8rMvyfLbx+3Po/DDL0PgEvXCgDMKeRN7iYJh6P2CoZd+dtMj8cMvQ+Ac9MKAMxllwL5Eg16aCZxDA7SgbE7nXqD89rP7s6BkwAWGBFiAZ0dTg4cffkkC+lUS2AdsuBhwIScEXYDHQGrw8MMvSUC/SgJjwL43uCIZBVeh5zXHGj388MsRuMR+ZQec08i/RF+iYLxm1i8Yeuln9+c1M/rrZ0h//ezW0l/jII7xJmJ4t0EcEWGCz4wWWj8oj998IeG32GDUm3prHsShv3xUf7naDXfj/WNEHBlFGbdPk7AOj6I0caeWOPzwmwi0LiTohV7oZXlXe+r1ERHXvoxhJn+Oak7vqMbRY39O6Lmf3VpHj/Tcn5Mt6ZkBM2ADDvp7we9HbqkhtKBwvy2UlmPww+8PAQbMgBlIrR/gh1+KAANO4doL3hI/BsyAGUitH+CHX4rAlgyk5cbd7zIlBsyAGUhLFzkQo8HUAOKHX4bAlvTCgBkwA85UP73QC72kCGzJMFtuPHO/DFhD1VBbqsoO+IVApsG0oPV8LZSWY/A7X34MmAEz4Fr94odfigDDTOHa9puw7sa/HiOGI4M4xtuIODqIwwSVeWG1DlbAD7+JAL0sNmgTvWbQ0Mu56mW4bhxFOdw8TcIafx1au7QK4dQnlLi+mhHih19mIUEv9HKZerna+TKGwmmIo6QCPAMsavDwwy9JQL9KAnsTvgY/BlzIyRoJmS7n2/DwuXBZLw91fTWK+OGXIUAvGVr7sZfIjwEXNHOJgrFA6BcMvfSzmx6JH34ZAuegFwacyegHHEkwuP6EnEPBya/8thKg51ZS83HnwI8BF3J8DgnW8PsTLL/97OxYa+zwuwx+DLiQZw26AM+RYg0efvglCehXSWAfcOLJgAs5IegCPAZSg4cffkkC+lUSGAO+/+oItV80Cq6fnSPAGjv88MsSuMR+1TiIY7yJGN5tEIeJT/PSbB1kgh9+EwF6WWzxJmbNoKGXU9PL1W64G+8fI+LIKMq4fZqEFT8PrWpMtKkZA374ZYyVXuiFXpYd6dTrIyKufRnDTP4u8SjEUX/2wOw1nl762TmqrrHD77z5MWAGbMBBsYYZcA0gfvhlCGxJLwyYATPgTPXTC73QS4rAlgyz5cYz98uANVQNtaWqDsRkCq7lX3m+FkrLMfjhlyHwd+qFATNgBpypVnqhF3pJEfg7Da7lQv/O62PAGqqG2lKldsAvBP7OhtWSKtfXQskJwh8Cf6deGDADZsC1foUffikCf2fDb7lQ19dC6X0WMAyYATOQWr3hh1+KAINL4doL3hK/aRLWY8RwZBDHeBsRRwdxmNA0LywTaBYLzsSiGTT0Qi/PBNTHputjuG4cRTncPE3CGn8dWru0No5Tn1Di+moLCfzwmwjoB4s62E1/GWL8oZ++Erg8vVztfBtS4TRkS0chLRjcbwul93ltqOU/yUcLJfn4Q4BeTk8vDLiQE4IuwPN1ejV4+OGXJKBfJYG9CV+DHwMu5GSNhEyX8214+Fy4rJeHur4aRfzwyxCglwyt/dhL5MeAC5q5RMFYIPQLhl762U2PxA+/DIFz0AsDzmT0A44kGFx/Qs6h4ORXflsJ0HMrqfm4c+DHgAs5PocEa/j9CZbffnZ2rDV2+F0GPwZcyLMGXYDnSLEGDz/8kgT0qySwDzjxZMCFnBB0AR4DqcHDD78kAf0qCewjDPhu/OsfEcM/D1/aeBMxvNsgDhOz5mm3fhAdP/wmAvSy2LVMkJpBQy+npper3XA33j9GxJFRlHH7NAkrfh4yahOQasaAH34ZY6UXeqGXZUc69fqIiGtfxjCTP0c1p3dUM12Rz0f35YWe+7j9eRR++GUIZPTCgBmwz1dmqote6IVeUgQyhtTyxFt6PgasoWqoLVV/IGZLDaEFhfttobQcgx9+fwgwYAbMgGv9AD/8UgQYcArXXvCW+DFgBsxAav0AP/xSBLZkIC037n6XKTFgBsxAWrqII+gXAhpqTTD44ecIWkPVUH3rVFcnZCBd2NSbetsTjh2wHbAdcK2f4odfioAFTArXtl8Dvhv/eowYjgziGG8j4uggDhOa5oVlAs1iwZlYNIOGXujlmYD62HR9DNdD2yjK4eZpEtb469DapbVxnPqEEtdXW0jgh99EQD9Y1MFu+ssQ4w/99JXA5enlaufLGAqnIY6SCvB8mUANHn74JQnoV0lgb8LX4MeACzlZIyHT5Ri52JcU+ejj9udR+OGXIUAvGVr7sRM/BlxgSIAFeHZwNXj44ZckoF8lgdkB33+1I+wXjYLrZzc9Ej/8MgToJUNrfkd4af3eDrigGQVXgMfgavDwwy9JQL9KArMDtgOuSEbBVejZAdfo4YdfjsAl9is74JxG/iX6EgVzaUdE7re/QNRHPzsvgdTYnQs/BlzIswZTgOcItQYPP/ySBPSrJLCPOIJuG8Qx3kQM7zaIw8SseSG0fhAdP/wmAvSy2FBNkJpBQy+npper3XA33j9GxJFRlHH7NAkrfh5aQ5iAVDMG/PDLGCu90Au9LDvSqddHRFz7MoaZ/DmqOb2jGq/F9ueEnvvZnctrieqjP8d/Z30wYAbs8679tfv7kX9nAbdcuutrobQcgx9+GQIZvTBgBsxAMtVFL/RCLykCGUNqeeItPR8D1lA11JaqPxCzpYbQgsL9tlCyo/5DgF6WtcCAGTADrvVT/PBLEWBIKVx7wVvix4AZMAOp9QP88EsR2JKBtNy4+7UDbtHJSwzBpHBteoXaQoJeWig5knUk+/C5ppSnR2+p3uyA7YA3JeiWAt9SAbvffQLy26IKC6JTWBANd+NfjxHDkUEc421EHB3EYULTvKhNoFksdhOLZtDQC708E1Afm66P4Xoy4H9EDP88vGYabp4mYY2/DsW1No5Tn1Di+moLCfzwmwjoB4s62E1/GWL8oZ++Erg8vVztfBlD4bTGUVcB3sZey2khQS8tlByNnsLRaEum6LmF0mE9M+ACQwIswGPANXj44ZckoF8lgb0JX4MfAy7kZI2ETJfzbfBuwZ60yEcPtdfH4IdfhgC9ZGjtx078GHCBIQEW4NnB1eDhh1+SgH6VBGYHfP/VjrBfNAqun930SPzwyxCglwyt+R3hpfV7O+CCZhRcAR6Dq8HDD78kAf0qCcwO2A64IhkFV6FnB1yjhx9+OQKX2K/sgHMa+ZfoSxTMpR0Rud/+AlEf/ey8BFJjdy78GgdxjDcRw7sN4jAxa15crR9Exw+/iQC9LDZpE6Rm0NDLqenlajfcjfePEXFkFGXcPk3Cip+H1iUmINWMAT/8MsZKL/RCL8uOdOr1ERHXvoxhJn+OzmrHP/jhlyFALxla+7H4nS8/BsyAfdymVr/44ZciwDBTuPaCt8SPATNgBlLrB/jhlyKwJQNpuXH3u0yJATNgBtLSRQ7EaDA1gPjhlyGwJb0wYAbMgDPVTy/0Qi8pAlsyzJYbz9wvA9ZQNdSWqrIDfiGQaTAtaD1fC6XlGPzOlx8DZsAMuFa/+OGXIsAwU7i8CevTeP9lovB9ePj9u/pDgDWC+OGXIUAvGVr7sfjhlyGQ0cs0CesxYjgyiGO8jYijgzhMaJpPkwk0i/I1sWgGDb3QyzMB9bHp+hiuG0dRDjdPk7DGX4dWAq2N49QnlLi+2kICP/wmAvrBog5201+GGH/op68ELk8vVztfxpA5W3gTmzlqaPk3nq+F0nIMfvhlCNBLhpaj+TX0woALGlwjIdPlfBsePhcu6+Whrq9GET/8MgToJUOLoU96YcAFzSi4AjxfKF+Dhx9+SQL6VRLYB5x4MuBCTgi6AI+B1ODhh1+SgH6VBMaA7786ku0XjYLrZzc9Ej/8MgToJUPLEbQj6JpeNGj8UgQ06BSuvWD88MsQOAe9OILOZPQDjiTs+PsTcg4FJ7/y20qAnltJzcedAz8GXMjxOSRYw+9PsPz2s3OEX2OH32XwaxzEMd5EDO82iMPErHlxtX4QHT/8JgL0stikTZCaQUMvp6aXq91wN94/RsSRUZRx+zQJK34eWpeYgFQzBvzwyxgrvdALvSw70qnXR0Rc+zakmfw5eqwd/+CHX4YAvWRo7cfid778GDAD9m7uWv3ih1+KAMNM4doL3hI/BsyAGUitH+CHX4rAlgyk5cbd7zIlBsyAGUhLFzkQo8HUAOKHX4bAlvTCgBkwA85UP73QC72kCGzJMFtuPHO/DFhD1VBbqsoO+IVApsG0oPV8LZSWY/A7X34MmAEz4Fr94odfigDDTOHyJqxP4/2XicL34eH37+oPAdYI4odfhgC9ZGjtx+KHX4ZARi/TJKzHiOHIII7xNiKODuIwoWk+TSbQLMrXxKIZNPRCL88E1Mem62O4bhxFOdw8TcIafx1aCbQ2jlOfUOL6agsJ/PCbCOgHizrYTX8ZYvyhn74SuDy9XO18GUPmbOFNbOaooeXfeL4WSssx+OGXIUAvGVqO5tfQCwMuaHCNhEyX8214+Fy4rJeHur4aRfzwyxCglwwthj7phQEXNKPgCvAivHu4hg8//FIE9KsUrr3gNfgx4EJO1kiIHXB/QuSjn930SPzwyxCglwyt+R0/Ay4wJMACPA2/Bg8//JIE9KsksDfha/BjwIWcrJEQO+D+hMhHPzs74Bo7/PDLEvAacJbYB6yIGHB/UhhwPzsGUmOHH35ZAgw4S4wBf7VA6BeNBUI/OwZXY4ffafJrHMQx3kQM7zaIw8SseTG0fhAdP/wmAvSy2FRNkJpBQy+npper3XA33j9GxJFRlHH7NAkrfh5aR5iAVDMG/PDLGCu90Au9LDvSqddHRFz7NqSZ/DkqrB3X4IdfhgC9ZGjtx+J3vvwYMAP2+c9a/eKHX4oAw0zh2gveEj8GzIAZSK0f4IdfisCWDKTlxt3vMiUGzIAZSEsXORCjwdQA4odfhsCW9MKAGTADzlQ/vdALvaQIbMkwW248c78MWEPVUFuqyg74hUCmwbSg9XwtlJZj8DtffgyYATPgWv3ih1+KAMNM4fImrE/j/ZeJwvfh4ffv6g8B1gjih1+GAL1kaO3H4odfhkBGL9MkrMeI4cggjvE2Io4O4jChaT5NJtAsytfEohk09EIvzwTUx6brY7huHEU53DxNwhp/HVoJtDaOU59Q4vpqCwn88JsI6AeLOthNfxli/KGfvhK4PL1c7XwdYeZs4U1s5qih5d94vhZKyzH44ZchQC8ZWo7m19ALAy5ocI2ETJfzbXj4XLisl4e6vhpF/PDLEKCXDC2GPumFARc0o+AK8CK8e7iGDz/8UgT0qxSuveA1+DHgQk7WSIgdcH9C5KOf3fRI/PDLEKCXDK35HT8DLjAkwAI8Db8GDz/8kgT0qySwN+Fr8GPAhZyskRA74P6EyEc/OzvgGjv88MsS8BpwltgHrIgYcH9SGHA/OwZSY4cfflkCDDhLjAF/tUDoF40FQj87Bldjh99p8mscxDHeRAzvNojDxKx5MbR+EB0//CYC9LLYVE2QmkFDL6eml6vdcDfeP0bEkVGUcfs0CSt+HlpHmIBUMwb88MsYK73QC70sO9Kp10dEXPs2pJn8OSqsHdfgh1+GAL1kaO3H4ne+/BgwA/b5z1r94odfigDDTOHaC94SPwbMgBlIrR/gh1+KwJYMpOXG3e8yJQbMgBlISxc5EKPB1ADih1+GwJb0woAZMAPOVD+90Au9pAhsyTBbbjxzvwxYQ9VQW6rKDviFQKbBtKD1fC2UlmPwO19+DJgBM+Ba/eKHX4oAw0zh8iasT+P9l4nC9+Hh9+/qDwHWCOKHX4YAvWRo7cfih1+GQEYv0ySsx4jhyCCO8TYijg7iMKFpPk0m0CzK18SiGTT0Qi/PBNTHputjuG4cRTncPE3CGn8dWgm0No5Tn1Di+moLCfzwmwjoB4s62E1/GWL8oZ++Erg8vVztfB1h5mzhTWzmqKHl33i+FkrLMfjhlyFALxlajubX0AsDLmhwjYRMl/NtePhcuKyXh7q+GkX88MsQoJcMLYY+6YUBFzSj4ArwIrx7uIYPP/xSBPSrFK694DX4MeBCTtZIiB1wf0Lko5/d9Ej88MsQoJcMrfkdPwMuMCTAAjwNvwYPP/ySBPSrJLA34WvwY8CFnKyREDvg/oTIRz87O+AaO/zwyxLwGnCW2AesiBhwf1IYcD87BlJjhx9+WQIMOEuMAX+1QOgXjQVCPzsGV2OH32nyaxzEMd5EDO82iMPErHkxtH4QHT/8JgL0sthUTZCaQUMvp6aXq91wN94/RsSRUZRx+zQJK34eWkeYgFQzBvzwyxgrvdALvSw70qnXR0Rc+zakmfw5Kqwd1+CHX4YAvWRo7cfid778GDAD9vnPWv3ih1+KAMNM4doL3hI/BsyAGUitH+CHX4rAlgyk5cbd7zIlBsyAGUhLFzkQo8HUAOKHX4bAlvTCgBkwA85UP73QC72kCGzJMFtuPHO/DFhD1VBbqsoO+IVApsG0oPV8LZSWY/A7X34MmAEz4Fr94odfigDDTOHyJqxP4/2XicL34eH37+oPAdYI4odfhgC9ZGjtx+KHX4ZARi/TJKzHiOHIII7xNiKODuIwoWk+TSbQLMrXxKIZNPRCL88E1Mem62O4bhxFOdw8TcIafx1aCbQ2jlOfUOL6agsJ/PCbCOgHizrYTX8ZYvyhn74SuDy9XO18HWHmbOFNbOaooeXfeL4WSssx+OGXIUAvGVqO5tfQCwMuaHCNhEyX8214+Fy4rJeHur4aRfzwyxCglwwthj7phQEXNKPgCvAivHu4hg8//FIE9KsUrr3gNfgx4EJO1kiIHXB/QuSjn930SPzwyxCglwyt+R0/Ay4wJMACPA2/Bg8//JIE9KsksDfha/BjwIWcrJEQO+D+hMhHPzs74Bo7/PDLEvAacJbYB6yIGHB/UhhwPzsGUmOHH35ZAgw4S4wBf7VA6BeNBUI/OwZXY4ffafJrHMQx3kQM7zaIw8SseTG0fhAdP/wmAvSy2FRNkJpBQy+npper3XA33j9GxJFRlHH7NAkrfh5aR5iAVDMG/PDLGCu90Au9LDvSqddHRFz7NqSZ/DkqrB3X4IdfhgC9ZGjtx+J3vvwYMAP2+c9a/eKHX4oAw0zh2gveEj8GzIAZSK0f4IdfisCWDKTlxt3vMiUGzIAZSEsXORCjwdQA4odfhsCW9MKAGTADzlQ/vdALvaQIbMkwW248c78MWEPVUFuqyg74hUCmwbSg9XwtlJZj8DtffgyYATPgWv3ih1+KAMNM4fImrE/j/ZeJwvfh4ffv6g8B1gjih1+GAL1kaO3H4odfhkBGL9MkrMeI4cggjvE2Io4O4jChaT5NJtAsytfEohk09EIvzwTUx6brY7huHEU53DxNwhp/HVoJtDaOU59Q4vpqCwn88JsI6AeLOthNfxli/KGfvhK4PL1c7XwdYeZs4U1s5qih5d94vhZKyzH44ZchQC8ZWo7m19ALAy5ocI2ETJfzbXj4XLisl4e6vhpF/PDLEKCXDC2GPumFARc0o+AK8CK8e7iGDz/8UgT0qxSuveA1+DHgQk7WSIgdcH9C5KOf3fRI/PDLEKCXDK35HT8DLjAkwAI8Db8GDz/8kgT0qySwN+Fr8GPAhZyskRA74P6EyEc/OzvgGjv88MsS8BpwltgHrIgYcH9SGHA/OwZSY4cfflkCDDhLjAF/tUDoF40FQj87Bldjh99p8mscxDHeRAzvNojDxKx5MbR+EB0//CYC9LLYVE2QmkFDL6eml6vdcDfeP0bEkVGUcfs0CSt+HlpHmIBUMwb88MsYK73QC70sO9Kp10dEXPs2pJn8OSqsHdfgh1+GAL1kaO3H4ne+/BgwA/b5z1r94odfigDDTOHaC94SPwbMgBlIrR/gh1+KwJYMpOXG3e8yJQbMgBlISxc5EKPB1ADih1+GwJb0woAZMAPOVD+90Au9pAhsyTBbbjxzvwxYQ9VQW6rKDviFQKbBtKD1fC2UlmPwO19+DJgBM+Ba/eKHX4oAw0zh8iasT+P9l4nC9+Hh9+/qDwHWCOKHX4YAvWRo7cfih1+GQEYv0ySsx4jhyCCO8TYijg7iMKFpPk0m0CzK18SiGTT0Qi/PBNTHputjuG4cRTncPE3CGn8dWgm0No5Tn1Di+moLCfzwmwjoB4s62E1/GWL8oZ++Erg8vVztfB1h5mzhTWzmqKHl33i+FkrLMfjhlyFALxlajubX0AsDLmhwjYRMl/NtePhcuKyXh7q+GkX88MsQoJcMLYY+6YUBFzSj4ArwIrx7uIYPP/xSBPSrFK694DX4MeBCTtZIiB1wf0Lko5/d9Ej88MsQoJcMrfkdPwMuMCTAAjwNvwYPP/ySBPSrJLA34WvwY8CFnKyREDvg/oTIRz87O+AaO/zwyxLwGnCW2AesiBhwf1IYcD87BlJjhx9+WQIMOEuMAX+1QOgXjQVCPzsGV2OH32nyaxzEMd5EDO82iMPErHkxtH4QHT/8JgL0sthUTZCaQUMvp6aXq91wN94/RsSRUZRx+zQJK34eWkeYgFQzBvzwyxgrvdALvSw70qnXR0Rc+zakmfw5Kqwd1+CHX4YAvWRo7cfid778GDAD9vnPWv3ih1+KAMNM4doL3hI/BsyAGUitH+CHX4rAlgyk5cbd7zIlBsyAGUhLFzkQo8HUAOKHX4bAlvTCgBkwA85UP73QC72kCGzJMFtuPHO/DFhD1VBbqsoO+IVApsG0oPV8LZSWY/A7X34MmAEz4Fr94odfigDDTOHyJqxP4/2XicL34eH37+oPAdYI4odfhgC9ZGjtx+KHX4ZARi/TJKzHiOHIII7xNiKODuIwoWk+TSbQLMrXxKIZNPRCL88E1Mem62O4bhxFOdw8TcIafx1aCbQ2jlOfUOL6agsJ/PCbCOgHizrYTX8ZYvyhn74SuDy9XO18HWHmbOFNbOaooeXfeL4WSssx+OGXIUAvGVqO5tfQCwMuaHCNhEyX8214+Fy4rJeHur4aRfzwyxCglwwthj7phQEXNKPgCvAivHu4hg8//FIE9KsUrr3gNfgx4EJO1kiIHXB/QuSjn930SPzwyxCglwyt+R0/Ay4wJMACPA2/Bg8//JIE9KsksDfha/BjwIWcrJEQO+D+hMhHPzs74Bo7/PDLEvAacJbYB6yIGHB/UhhwPzsGUmOHH35ZAgw4S4wBf7VA6BeNBUI/OwZXY4ffafJrHMQx3kQM7zaIw8SseTG0fhAdP/wmAvSy2FRNkJpBQy+npper3XA33j9GxJFRlHH7NAkrfh5aR5iAVDMG/PDLGCu90Au9LDvSqddHRFz7NqSZ/DkqrB3X4IdfhgC9ZGjtx+J3vvwYMAP2+c9a/eKHX4oAw0zh2gveEj8GzIAZSK0f4IdfisCWDKTlxt3vMiUGzIAZSEsXORCjwdQA4odfhsCW9MKAGTADzlQ/vdALvaQIbMkwW248c78MWEPVUFuqyg74hUCmwbSg9XwtlJZj8DtffgyYATPgWv3ih1+KAMNM4fImrE/j/ZeJwvfh4ffv6g8B1gjih1+GAL1kaO3H4odfhkBGL9MkrMeI4cggjvE2Io4O4jChaT5NJtAsytfEohk09EIvzwTUx6brY7huHEU53DxNwhp/HVoJtDaOU59Q4vpqCwn88JsI6AeLOthNfxli/KGfvhK4PL1c7XwdYeZs4U1s5qih5d94vhZKyzH44ZchQC8ZWo7m19ALAy5ocI2ETJfzbXj4XLisl4e6vhpF/PDLEKCXDC2GPumFARc0o+AK8CK8e7iGDz/8UgT0qxSuveA1+DHgQk7WSIgdcH9C5KOf3fRI/PDLEKCXDK35HT8DLjAkwAI8Db8GDz/8kgT0qySwN+Fr8GPAhZyskRA74P6EyEc/OzvgGjv88MsS8BpwltgHrIgYcH9SGHA/OwZSY4cfflkCDDhLjAF/tUDoF40FQj87Bldjh99p8mscxDHeRAzvNojDxKx5MbR+EB0//CYC9LLYVE2QmkFDL6eml6vdcDfeP0bEkVGUcfs0CSt+HlpHmIBUMwb88MsYK73QC70sO9Kp10dEXPs2pJn8OSqsHdfgh1+GAL1kaO3H4ne+/BgwA/b5z1r94odfigDDTOHaC94SPwbMgBlIrR/gh1+KwJYMpOXG3e8yJQbMgBlISxc5EKPB1ADih1+GwJb0woAZMAPOVD+90Au9pAhsyTBbbjxzvwxYQ9VQW6rKDviFQKbBtKD1fC2UlmPwO19+DJgBM+Ba/eKHX4oAw0zh8iasT+P9l4nC9+Hh9+/qDwHWCOKHX4YAvRKXRQkAAAf4SURBVGRo7cfih1+GQEYv0ySsx4jhyCCO8TYijg7iMKFpPk0m0CzK18SiGTT0Qi/PBNTHputjuG4cRTncPE3CGn8dWgm0No5Tn1Di+moLCfzwmwjoB4s62E1/GWL8oZ++Erg8vVztfB1h5mzhTWzmqKHl33i+FkrLMfjhlyFALxlajubX0AsDLmhwjYRMl/NtePhcuKyXh7q+GkX88MsQoJcMLYY+6YUBFzSj4ArwIrx7uIYPP/xSBPSrFK694DX4MeBCTtZIiB1wf0Lko5/d9Ej88MsQoJcMrfkdPwMuMCTAAjwNvwYPP/ySBPSrJLA34WvwY8CFnKyREDvg/oTIRz87O+AaO/zwyxLwGnCW2AesiBhwf1IYcD87BlJjhx9+WQIMOEuMAX+1QOgXjQVCPzsGV2OH32nyaxzEMd5EDO82iMPErHkxtH4QHT/8JgL0sthUTZCaQUMvp6aXq91wN94/RsSRUZRx+zQJK34eWkeYgFQzBvzwyxgrvdALvSw70qnXR0Rc+zakmfw5Kqwd1+CHX4YAvWRo7cfid778GDAD9vnPWv3ih1+KAMNM4doL3hI/BsyAGUitH+CHX4rAlgyk5cbd7zIlBsyAGUhLFzkQo8HUAOKHX4bAlvTCgBkwA85UP73QC72kCGzJMFtuPHO/DFhD1VBbqsoO+IVApsG0oPV8LZSWY/A7X34MmAEz4Fr94odfigDDTOHyJqxP4/2XicL34eH37+oPAdYI4odfhgC9ZGjtx+KHX4ZARi/TJKzHiOHIII7xNiKODuIwoWk+TSbQLMrXxKIZNPRCL88E1Mem62O4bhxFOdw8TcIafx1aCbQ2jlOfUOL6agsJ/PCbCOgHizrYTX8ZYvyhn74SuDy9XO18HWHmbOFNbOaooeXfeL4WSssx+OGXIUAvGVqO5tfQCwMuaHCNhEyX8214+Fy4rJeHur4aRfzwyxCglwwthj7phQEXNKPgCvAivHu4hg8//FIE9KsUrr3gNfgx4EJO1kiIHXB/QuSjn930SPzwyxCglwyt+R0/Ay4wJMACPA2/Bg8//JIE9KsksDfha/BjwIWcrJEQO+D+hMhHPzs74Bo7/PDLEvAacJbYB6yIGHB/UhhwPzsGUmOHH35ZAgw4S4wBf7VA6BeNBUI/OwZXY4ffafJrHMQx3kQM7zaIw8SseTG0fhAdP/wmAvSy2FRNkJpBQy+npper3XA33j9GxJFRlHH7NAkrfh5aR5iAVDMG/PDLGCu90Au9LDvSqddHRFz7NqSZ/DkqrB3X4IdfhgC9ZGjtx+J3vvwYMAP2+c9a/eKHX4oAw0zh2gveEj8GzIAZSK0f4IdfisCWDKTlxt3vMiUGzIAZSEsXORCjwdQA4odfhsCW9MKAGTADzlQ/vdALvaQIbMkwW248c78MWEPVUFuqyg74hUCmwbSg9XwtlJZj8DtffgyYATPgWv3ih1+KAMNM4fImrE/j/ZeJwvfh4ffv6g8B1gjih1+GAL1kaO3H4odfhkBGL9MkrMeI4cggjvE2Io4O4jChaT5NJtAsytfEohk09EIvzwTUx6brY7huHEU53DxNwhp/HVoJtDaOU59Q4vpqCwn88JsI6AeLOthNfxli/KGfvhK4PL1c7XwdYeZs4U1s5qih5d94vhZKyzH44ZchQC8ZWo7m19ALAy5ocI2ETJfzbXj4XLisl4e6vhpF/PDLEKCXDC2GPumFARc0o+AK8CK8e7iGDz/8UgT0qxSuveA1+DHgQk7WSIgdcH9C5KOf3fRI/PDLEKCXDK35HT8DLjAkwAI8Db8GDz/8kgT0qySwN+Fr8GPAhZyskRA74P6EyEc/OzvgGjv88MsS8BpwltgHrIgYcH9SGHA/OwZSY4cfflkCDDhLjAF/tUDoF40FQj87Bldjh99p8mscxDHeRAzvNojDxKx5MbR+EB0//CYC9LLYVE2QmkFDL6eml6vdcDfeP0bEkVGUcfs0CSt+HlpHmIBUMwb88MsYK73QC70sO9Kp10dEXPs2pJn8OSqsHdfgh1+GAL1kaO3H4ne+/BgwA/b5z1r94odfigDDTOHaC94SPwbMgBlIrR/gh1+KwJYMpOXG3e8yJQbMgBlISxc5EKPB1ADih1+GwJb0woAZMAPOVD+90Au9pAhsyTBbbjxzvwxYQ9VQW6rKDviFQKbBtKD1fC2UlmPwO19+DJgBM+Ba/eKHX4oAw0zh8iasT+P9l4nC9+Hh9+/qDwHWCOKHX4YAvWRo7cfih1+GQEYv0ySsx4jhyCCO8TYijg7iMKFpPk0m0CzK18SiGTT0Qi/PBNTHputjuG4cRTncPE3CGn8dWgm0No5Tn1Di+moLCfzwmwjoB4s62E1/GWL8oZ++Erg8vVztfB1h5mzhTWzmqKHl33i+FkrLMfjhlyFALxlajubX0AsDLmhwjYRMl/NtePhcuKyXh7q+GkX88MsQoJcMLYY+6YUBFzSj4ArwIrx7uIYPP/xSBPSrFK694DX4MeBCTtZIiB1wf0Lko5/d9Ej88MsQoJcMrfkdPwMuMCTAAjwNvwYPP/ySBPSrJLA34WvwY8CFnKyREDvg/oTIRz87O+AaO/zwyxLwGnCW2AesiBhwf1IYcD87BlJjhx9+WQIMOEuMAX+1QOgXjQVCPzsGV2OH32nyG+7G+/8dEf+nfnnTM4z/bfp4eUT8D8/XQwC/Hmqvj8EPvwwBesnQ2o/Fr8jvv/wHGJ/s7Y4MkPAAAAAASUVORK5CYII=</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="Sprite" idx="1" x="-240" y="180" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="31,255,104,1" 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><script x="69.42857142857144" y="30"><block s="receiveGo"></block><custom-block s="starting position"></custom-block><block s="doRepeat"><l>18</l><script><custom-block s="one layer"></custom-block><custom-block s="even layer"></custom-block><custom-block s="one layer"></custom-block><custom-block s="odd layer"></custom-block></script></block></script></scripts></sprite></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="one brick" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="forward"><l>20</l></block><block s="turnLeft"><l>90</l></block><block s="forward"><l>10</l></block><block s="turnLeft"><l>90</l></block><block s="forward"><l>20</l></block><block s="turnLeft"><l>90</l></block><block s="forward"><l>10</l></block><block s="turnLeft"><l>90</l></block></script></block-definition><block-definition s="slide over" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="forward"><l>20</l></block></script></block-definition><block-definition s="one layer" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doRepeat"><l>24</l><script><custom-block s="one brick"></custom-block><custom-block s="slide over"></custom-block></script></block></script></block-definition><block-definition s="starting position" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="up"></block><block s="clear"></block><block s="setColor"><color>31,255,104,1</color></block><block s="setSize"><l>1</l></block><block s="gotoXY"><l>-240</l><l>-180</l></block><block s="down"></block></script></block-definition><block-definition s="odd layer" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="changeYPosition"><l>10</l></block><block s="changeXPosition"><l>-480</l></block><block s="changeXPosition"><l>-10</l></block></script></block-definition><block-definition s="even layer" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="changeYPosition"><l>10</l></block><block s="changeXPosition"><l>-480</l></block><block s="changeXPosition"><l>10</l></block></script></block-definition></blocks><variables></variables></project><media name="Mini Lab of the algorithms " app="Snap! 5.4, http://snap.berkeley.edu" version="1"></media></snapdata>