Datasets:
piekenius123
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Dataset card Data Studio Files
xet
 Community
1
id
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original_img
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cell_map
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metadata
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[1, 3], [0, 3], [0, 2], [1, 2], [1, 1], [2, 1], [2, 2], [3, 2], [3, 1], [3, 0], [2, 0], [1, 0]], "path_cell_ids": [14, 13, 9, 10, 6, 7, 11, 12, 8, 4, 3, 2], "start_cell": [1, 3], "end_cell": [1, 0], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 954675582}, "difficulty": {"difficulty": 0.9221635427799564, "H_turn": 1.5219280948873621, "H_turn_norm": 0.9602297178607612, "H_rate": 1.1111111111111112, "H_rate_norm": 0.8650642801587494, "turns": ["RIGHT_90", "RIGHT_90", "LEFT_90", "RIGHT_90", "RIGHT_90", "LEFT_90", "LEFT_90", "STRAIGHT", "LEFT_90", "STRAIGHT"], "turnCounts": {"RIGHT_90": 4, "LEFT_90": 4, "STRAIGHT": 2}, "steps": 11, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[1, 3], [2, 3], [3, 3], [3, 2], [2, 2], [2, 1], [2, 0], [1, 0]], "path_cell_ids": [14, 15, 16, 12, 11, 7, 3, 2], "start_cell": [1, 3], "end_cell": [1, 0], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 490655530}, "difficulty": {"difficulty": 0.7123719014285831, "H_turn": 1.4591479170272448, "H_turn_norm": 0.9206198357143051, "H_rate": 0.4, "H_rate_norm": 0.4, "turns": ["STRAIGHT", "LEFT_90", "LEFT_90", "RIGHT_90", "STRAIGHT", "LEFT_90"], "turnCounts": {"STRAIGHT": 2, "LEFT_90": 3, "RIGHT_90": 1}, "steps": 7, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[2, 3], [1, 3], [1, 2], [2, 2], [3, 2], [3, 1], [2, 1], [2, 0], [1, 0], [0, 0], [0, 1], [0, 2], [0, 3]], "path_cell_ids": [15, 14, 10, 11, 12, 8, 7, 3, 2, 1, 5, 9, 13], "start_cell": [2, 3], "end_cell": [0, 3], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 739297950}, "difficulty": {"difficulty": 0.9769476773768995, "H_turn": 1.5726236638951638, "H_turn_norm": 0.9922150607220183, "H_rate": 1.3509775004326938, "H_rate_norm": 0.9540466023592213, "turns": ["RIGHT_90", "RIGHT_90", "STRAIGHT", "LEFT_90", "LEFT_90", "RIGHT_90", "LEFT_90", "STRAIGHT", "LEFT_90", "STRAIGHT", "STRAIGHT"], "turnCounts": {"RIGHT_90": 3, "STRAIGHT": 4, "LEFT_90": 4}, "steps": 12, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAXuklEQVR4nO3de5ScZZ3g8ae6O52+pDt9gQQkAcdOICDB4R7O4GVVYBVBBzwIitxWIcjIdWUR9x9nPTOemR10xBk9osidcBkUA6JgAJNAwvWsZ1mQxCARMCRLd9JJqjukO1173gmbEdKEdJvut6p+n89fnHS99T6h0s+33ntKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOwShVEss2LFivb29l2zfsrAli1bVq9ePWXKlLq6urzHwpgbHBxcs2bN1KlTa2tr8x4Lu8zatWu7urrGIwDd3d0dHR2jWBCAsdDT09PZ2TnSpWrGZCwAlD0BAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCqst7AOXiiT/03rD0j8tfK24aGGqdWDetvaG1IdD/nJ7iQEfzhBTG+k2DL6/btOH1wVIptTbUTWvzcVf7x712U3HzYMOE2vd0Np0x512H7z0570GVhUD/6N/OTY+vuviu57o3bs57IMB4+O7ClZ2T6r990v6nH7Fniq0wimW6u7s7OjpSVTjx+0/Pf2ZN3qMAcnDCgVN+NveQVBV6eno6OztHulToYwBmf4hs/jNrTvz+0ymwuAG46fFVZv9ASnkPgLI0/5k1Nz2+KkUVNwAX3/Vc3kOgzHd2EsLFgaeCoAF47MVeR32BlFL3xs2PvdibQgoagBsf/2PeQwDKxY1RJ4SgAVi2ppj3EIBysfz/Bp0QggZgS8kxQeANg0NDKaSgAWhtqM17CEC5aI10HfifChqA6W2NeQ8BKBfT24NOCEED0NYUNPjA9toag04IQQMAgAAABCUAAEEJAEBQQQ99jMLh+0z+8L4jvttqpYj2hJDu4sBLa/vXbxrcegrg9PbGzkh//er+uB9c1v3EyqC3dhgpAdhZR3e1f/OT++Y9CuAdXHrXbwVgJ9kFBBCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFB1eQ+A3Lz00ksXXHDBwoUL169fXyqV8h4O461QKEyZMuXuu+8+8sgj8x4L+bAFENTcuXP32Wef+fPn9/b2mv1jKpVKq1evnjNnzgEHHJD3WMiHLYCIPvjBDy5cuDDvUVAunnvuuba2tnXr1uU9EMabLYBw5s6da/bnLXp7e20HBCQAsfz+97//wQ9+kPcoKEfPPfecbwbRCEAsF110kT3+vJ3PfOYzeQ+BcSUAsfiKxw6sXr067yFQ9gEYGhoag5EwHtavX5/3EChftg4r1+im5dEEoLu7O1W4nuLmkS8ykCrc4OCg33B2rLe3N1W4Ufyq9ox8Qig3o5uWRxOAzs7OVOE6mutHvsiEVOHq6uoKhULeo6Cs1dbWpgo3il/VjpFPCOVmdNPyaAJQU+PIQaVqbW3NewjArje6adlUHsvRRx+d9xCAciEAsXzrW9+yFwjYSgBimTlz5llnnZX3KICyIADhXHvttXPmzMl7FED+BCCiJUuWnHnmmfYFQXACENR11133/PPPH3vssZMmTcp7LEA+3A46rpkzZ/7yl7/c+t8rVqxwdm+Vee2114444oi8R0FZEwAyXV1deQ+BXaypqSnvIVDufOkDCEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICg6vIeQMVYvGLtFXcvS1WqpzjQ0TwhhbGuf+CltZvW9Q/WFNK+U5rPOGLPD87szHtQMN4EYGc9sbL3iZW9eY+CXW/xirXXLnl5ckPdNz+179yj9857OIyXUkqFFJxdQJDp3TR4/rxnP/KdJ/IeCOOlkPcAyoAAwH94cFn3h7/zeN6jgHEiAPAmDy3r+f7iP+Q9ChgPAgBvdcVPq/ZofxSlvAdQIYIGoHfTYN5DoHz1bhp8aHl33qNglHqKm0e6f7836oQQNAB/6OnPewiUtZseX5X3EBill9e9PtJF/hB1QggagN7+oMFnJ73wWl/eQ2CUNrw+4t/u9Zu2pJCCBmBCbdC/ODtpcMhe5EpVGM0JnqUUUtB5sGu3xryHQFlrbXCNZKWaNLF2pIu0Rv24gwbgjCOn5T0Eytr09oa8h8AoTWsb8We3d0fQb4RBAzDn3ZM7mkZy65ugG4hxtTUGujNSlRnFXa0m2wKI5n+ePGsEr3bVOFB14gbg7CP3Om7/3fIeBUBu4gYgpfSLCw7TACCs0AHY2oBrTjuwrTHoHkAgMhNf+sJfTfvCX01b+Lu1Nz7+yvNriluGsiNC09sb2kd0lLjCVfcDYX69vGfpi+vyHgWUHQF4wwdmtH9gRnveo2BMXHH3MgGA7UXfBQQQlgAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAhDX8uXLjzvuuJaWlsL/N2nSpI9+9KPLli3Le2jAeBCAoM4666z99tvv/vvv37hx47Y/LBaLCxYsmDVr1mc/+9lcRweMh7pxWQvl5aijjlq6dOnb/bRUKt16663Lli178sknx3dcwLiyBRDOOeecs4PZf5unnnrKdgBUNwGIZfny5dddd91OvnjevHnPPvvsGI8IyI0AxHLJJZeUSqWdfHGpVLr44ovHeERAbgQglkWLFo3o9UuWLBmzsQAVGIChoaExGAnjYcOGDSN6/Z+eIwSUrdFNy6MJQHd39yiWInfFYnHn9/9ss2rVqlTheooD47BIuVmzZs0olurv708RP+7NqcKNbloeTQA6OztHsRS5G8Xsn/0Tqan4/YQdzRPGYZFyM2XKlFEs1djYmCJ+3PWpwo1uWq6JOSMAVJPRTcumcoCgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIKqy3sAkIO2xgkdzRPam7J//+v6Bnv6Btb2DeQ9KBhvAkAUB+3VcvLs3T+yV/3sfToaJtZt7undsq432wqe3Dqxo+31wS3PvNiz4OVNd/7v137zyoa8BwvjQQCofh/umnzhYYe1lgbqb7+t/ocPp6eeSi+/XP/m19TvtddRhxxy6Ac+dPHpp26omfjM2sG8RgvjRgCoaps3p6GhD/2fhfX/9I/piSd29MpXXkmvvFI/f379Vy6bdNhhu1/2X9N7Tkg1NamhYfxGC+PLQWCqV19fuuOONGtW/amnvMPs/xZPPll32qnpgAPSnXdmbwJVSgCoRn196cUX07HHptNPTytXjvJNVq5Mn/98Ou647D/6+3fxCKEMCABVp1hMDz2UfX9/5JFd8G6LF6f99kv33Ze9LVQXAaC6FIvp6qvTCSfsyu/sr7+ePv3p9K//qgFUGQGgihSL6Uc/Sl/9aiqVdvE7l0rp8svTdddpANVEAKgW/f3pwQfTJZeM4SouvDAtXJg2bRrDVcA4EgCqxcaN6XOfS0NDY7iKoaF06qk2AqgaAkBV6OtLZ56ZNoz9Fbzr16ezztIAqoMAUPmGhrITfu67b5xWd889aenSsd3UYBQ2b/5z32FoKNr+PQGg8vX3pyuvHNc1Xn55tJmi3PX3p9tu+7Ou2iuVss27BQuyfYlhCACV76mn0pNPjusan346/eY347pGdqCvL11wQTrjjOwofX//1NaJI32DA6Y2Z7P/+9+fnUB89dVxLv8WACrc+vXpO9/JYb3//M/Zqsldf38677z04x9n//2jH6UvfvHLh+9+wB6Tdv4NPnbAbifPaE4f+Uh65plsO+DKK9NFFwW59lsAqHD19ekXv8hhvfPnZ6smX3192d0+brrpP/7k5psbzz/vkfMPeu+eO9WAY2Z13nnqzAnHHpNtR27zwx+m006LcKhfAKhwixfn84va15eWLMlhvWwzMJDOPjvddddb/rhw6y2tl1246LzZs6Y27/gN/tO+HT/57H5Nn/jYMPcKvPvu9KUvpS1bUlUTACrZwEB21C4vCxbsgjNPGLWhoeyq70nDfNOvuf76yZdd+Oj5B+2gAUd3tc///Kzmk04cPuT77ZeuuipVOwGgkhWLb9pyH2dPPhlkT3GZmjgxzZqVXZs9bANuuKHty3OXfOl9B75rmJ8ePK3152fu3/y5U9Ovfz3MO8+YkZ1Y3N6eamvHZORlQwCoZLW1acWK3Nb+u99lT4whRw0Naf/908MPp+ZhvukX5s2bfMG5i8476C0NeN9eLQ+fe2DLWacPf+3IPvu8MfsH+HCr/29INauvT2vX5rb2tWvThAm5rZ2tGhrSe9+bHnggNTZu/8PCbbdN/tK5i8+dva0Bs9/VsnDuQS3nn5sdxt/e3nunxx9PnZ0RZn8BoMLV1+d5LmZvb7YXgtw1NKSDD84aMNzzOwu339b67w2Y/a6Wfac0//rcA1v+Zm7h9tt2NPtX+56fbTwTmEpWKmXf1PI6VaO2NjsOGWayKGsNDemQQ9K996aPfWz7I/OFO25vra1ddPX3BlNqveyiwi23DPMOe++dHnss1OwvAFS4gYHU0pJ6evJZe3NzNoBI80VZa2xMc+Zkd2o6/vjsc3mzwrxbW1OpNKml5obrh1l22rTs/k677x7t07QLiEq2eXPac8/c1r7XXk4DLS9NTenoozf/5O5hj80U5s2r+eE1wyw1dermRYsDzv4CQIUbGsrO2MvLjBm7/tFj/JkaG1987+F9d9yV6nZu98bUqcVFjy4uNuzs66uLAFDJmpvT4YfntvbDDx/27EPydc3/6n5s7/f1337nO8/pU6YUFz36j8++/vCLQW/rJABUsrq67KBfXo4/PubXxjK3Zaj0n6977vG/OKR/3u072qszZUrfwkeuevb1rz+wMkUlAFS4Aw7IztwYf7vtll2GSlnavGXovz/0x/oTT8hOD307Z59d3G3qPy1+JQUmAFS4LVvSKafksN5TTkmDgzmsl51wyPTWe8/cv+aUU3b0oIh/+IfWW2547PyDOpriXs0nAFS45uZ0xRXjfd1mTU22UgcAytK0toaHv3hgyzlnFn76kx29rlSaeOHfvPvOG5acP7upPtz5P1sJAJWvvT2ddNK4rvHkk1Nb27iukZ12waGdLWd/vnD3T3fmxRP/21f2uf36L76vI4UkAFS+lpb03e8OeyuYMdHUlP7lX7KVUob6+iae9pn0s58N86P6+uyz287EKy5vu/nHoR4FvI0AUBVaWtLf//04reub37Tzp0z19WUbZ8Pe43PixL677yn+/P5hvyjUXnpp9hSwAI8AewsBoCo0NaUvfCGdeOKYr+jjH0/nnDPsF0ly1teX/vqvh38+aEND372/WNC+7331exXvuW/Ye8alSy5J3/tetO0AAaBaNDdnz4adPXsMVzF7dpo3z9f/clQspk9+Mt1//zA/amws/vz+X7X8xUk3//bUW59/oGmfvnvuG/42rl/5Srr66iwkYQgAVWTSpOwBT11dY/LmXV3Zg0eGe/gUOevrS5/6VPrVr4b5UVNT8b77H2iafvJNvx0cKm0ZKn36lud/NendffN/PnwDrrwyffvbcRogAFSRQiFNnpw94Psv/3IXv/PBB2dvO3lytgrKSrGY7fobdvZvbi7e98D8mj1Pvun5waE37tq0tQGLO2f23f5vw1/I/bWvZceTYhwPEACqS01NdoLm4sXptNN22XuedlpatCh723h3i6yM2X/BgmF+1Ny88ZcLflLY43O3/27ozffsG9hSOuH655ZOn91/x9s04BvfyA71B9gOEACqTqGQ7aa/5pp0881/7l0iOjvTLbdkb9Xc7Lt/2RkczNr84IPD/Gjy5OLDi+4Y2O2M25e9ZfbfavOWoeNv+O3TXYf233Dz8FcRfuMb6aqrqr4BAkCVam7Ozgh84YV06aWjOWmnqSlb8IUXskvMHPUtT1u2pK9/fZgPt60tPfLI85P3+i//tnwHt+veNDB0zLXPrvvQMdm5A9s3oKEhHXVU1d/uWwCoXhMnptbW9Ld/m1atys7uOOywd/4WXyikQw/NXrxqVbZga6un/paviRPT/vtnjwL+089o6w7Arq5DZk75+sdn1ta87SdeV1P4H5+Yueee7dnpQ29pQFNTdlDhqKOqvv2j2art7u7u6Ah65XRF27hxY8vIr1999dVXp06dmird4GDq70+FwpYlS2uWLiksX55efTX7k1Ip+22fOrU0c+bQnKNqj5qTNaChGh4Psnr16j322GOkS23YsGFSZZ3p1N+fFi5Mn/hE9hG3t6dHH03veU920e+/W/L7dV+bv+yhZW96aGihkI6ZtdvfnbDvoXu3vvFHxWK666505pnZv4fJk9NDD2W3eh23a8t3hZ6ens6R7/AUgEBCB+BPDQ31r1vft2mwNDSU/Q7UFJomTmhsbx3vO8qNsSgB2Dp933tv+vKXs9l/+vRts/82K3v6F69Y+/K6TYVCYXpbw/tntE9r2+5asL6+dOON6atfzXIyY8bwF4uVMQHgHQhAKIECsLUBpVK2L2i4pwGP4E2GhrI32S4h1RqAit/OBdg1O+ubq3yP//aqapsXgJ0nAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABB1Y1imXXr1hUKhTEYDGOrWCzmPQSgwgPQ1dU1BiMBYFzZBQQQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAO/g1VdfzXsIjMaGDRtGsdTAwMAYjIUy/bgBAAAAAAAAAAAAAIBUMf4fmAB2NEEHIjQAAAAASUVORK5CYII=
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[1, 3], [0, 3], [0, 2], [0, 1], [1, 1], [1, 0]], "path_cell_ids": [14, 13, 9, 5, 6, 2], "start_cell": [1, 3], "end_cell": [1, 0], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 571206467}, "difficulty": {"difficulty": 0.8345034448809783, "H_turn": 1.5, "H_turn_norm": 0.9463946303571862, "H_rate": 0.6666666666666666, "H_rate_norm": 0.6666666666666666, "turns": ["RIGHT_90", "STRAIGHT", "RIGHT_90", "LEFT_90"], "turnCounts": {"RIGHT_90": 2, "STRAIGHT": 1, "LEFT_90": 1}, "steps": 5, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[0, 1], [0, 0], [1, 0], [2, 0], [2, 1], [1, 1], [1, 2], [0, 2], [0, 3], [1, 3], [2, 3], [2, 2], [3, 2], [3, 1]], "path_cell_ids": [5, 1, 2, 3, 7, 6, 10, 9, 13, 14, 15, 11, 12, 8], "start_cell": [0, 1], "end_cell": [3, 1], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 335147584}, "difficulty": {"difficulty": 0.9291885549339443, "H_turn": 1.4833557549816874, "H_turn_norm": 0.9358932809493993, "H_rate": 1.3504320883884857, "H_rate_norm": 0.9191314659107619, "turns": ["RIGHT_90", "STRAIGHT", "RIGHT_90", "RIGHT_90", "LEFT_90", "RIGHT_90", "LEFT_90", "LEFT_90", "STRAIGHT", "LEFT_90", "RIGHT_90", "LEFT_90"], "turnCounts": {"RIGHT_90": 5, "STRAIGHT": 2, "LEFT_90": 5}, "steps": 13, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[0, 3], [1, 3], [1, 2], [1, 1], [0, 1], [0, 0], [1, 0], [2, 0], [3, 0], [3, 1], [2, 1], [2, 2], [2, 3], [3, 3], [3, 2]], "path_cell_ids": [13, 14, 10, 6, 5, 1, 2, 3, 4, 8, 7, 11, 15, 16, 12], "start_cell": [0, 3], "end_cell": [3, 2], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 811425146}, "difficulty": {"difficulty": 0.9754001948696445, "H_turn": 1.5766212201074912, "H_turn_norm": 0.99473723787795, "H_rate": 1.5, "H_rate_norm": 0.9463946303571862, "turns": ["LEFT_90", "STRAIGHT", "LEFT_90", "RIGHT_90", "RIGHT_90", "STRAIGHT", "STRAIGHT", "RIGHT_90", "RIGHT_90", "LEFT_90", "STRAIGHT", "LEFT_90", "LEFT_90"], "turnCounts": {"LEFT_90": 5, "STRAIGHT": 4, "RIGHT_90": 4}, "steps": 14, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[1, 2], [1, 1], [1, 0]], "path_cell_ids": [8, 5, 2], "start_cell": [1, 2], "end_cell": [1, 0], "maze_config": {"shape": "square", "width": 3, "height": 3, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 956618021}, "difficulty": {"difficulty": 0, "H_turn": 0, "H_turn_norm": 0, "H_rate": 0, "H_rate_norm": 0, "turns": ["STRAIGHT"], "turnCounts": {"STRAIGHT": 1}, "steps": 2, "baseAngleUsed": 90}}
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KAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgqObcAzCsrVu3Tps2LfcU49PAwMDLL788MDCQUmppaens7Gxpack91Pi0devW3CMwLAFoXAMDA5s2bco9xfjX39/f1dWVewrIwCEggKBqCkClUhn9SQCojxoX7ZoCsHPnzhHPA8AYqXHRrikAjpDW1yuvvJJ7BGgsfinqq8ZFu6YA9PX1jXge3vT000/nHgEai1+K+qpx0a4pAM3N3ixUTyeeeGLuEaCx+KWorxoX7aZaNpo6deqLL7444pF4XU9Pz+TJk3NPAQ2ku7u7o6Mj9xTjx9SpU7dt21afVwBHHnlkPUbidR0dHa2trbmngEbR1tZm9a+vo446qpbNagpAqVQa8Tzs4/vf/37uEaBRrF27NvcI401bW1stm/kgWB6zZs266qqrck8B+V111VWzZs3KPUVQApDNihUr7rnnHseCCKu1tfWee+5ZsWJF7kHi8vaenGbNmtXX19fT03PLLbc888wz06ZNq/HIHSPX09Pz7LPPppTe//73t7e35x4nih07djz11FMnn3zyFVdc4bh/dgKQX0dHx9KlS3NPAYTjEBBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAATlnsAcksHB1NeXJkxIEyemlpa0e3fxlb17U3NzKpVyDwfURACoWaWSuruLJX7duvSjH6XHH0/PPZf+7/+KPx0d6fDD07HHpl/7tTRjRpo5swhDW1uxMdCo/H5Sg9270549xaL/rW+lH/6weLL/Nj09xZ8XXkgbN6Zvfzs1NaVzzkmXXZbmzy/+u7U1z9jAATkHwAFVKqlcTmvXpjPOSBddlO65p8rqX/W7Hn44LVqU3vOetGJF8Qh79ozFtMDBEACG19ubnn02/cZvFE/kn3nmUB7hf/83XXddmjYtrV9fPBrQSASAYZTL6dZbi7V748aRPtTzz6ePfjRdfbUGQEMRAKopl4v1+ppr6nno5m//Nn3iE2nXruIAEdAABID9lMvp8suLp/91t25dOv/84vGBBiAA7Ku3Ny1bllavHq3H//GP0yWXaAA0AgHgLXbvLs7W3nzz6O7lBz9Iy5c7HwDZCQBv0d+fPve5sdjRV7+atm1zMgDyEgDe0NOTli5NL700FvsaHEyf+UxxMQkgHwHgDf396fbbx253jzxSnA/wIgDyEQBe1dOTbryxpk/51tF11zkTABkJAK9qbk7f/e5Y7/TBB9OOHWO9U+ANAsCr7rsvz5Px228vDj0BOQgAqfh07ve+l2fXa9YUdxEAchAAXj3+89BDeXa9ZYvzwJCLAJCKC/688EK2vT/1VLZdQ2wCQCpu7JXRj3+cc+8QmACQMr8V56WX0tBQzgEgKgEgpZdfzrn3V14Z688fAK8SAFLmJ+BDQ84DQxYCQEqTJ+fce0dHmjgx5wAQlQCQ0jHH5Nz7L/1SmjAh5wAQlQCQ0gkn5Nz7r/xKamrKOQBEJQCkNGVKOuywbHufNi3briE2ASAV1+U/99w8uz722CI/QA4CwKunYX/7t/PseuZM1wKCXASAVJyD/fSniysCjb3LLy/yA+QgALzh4ovHeo+nnJJOP32sdwq8QQB41eTJadmysX43zle+kudlB/AqAeANxx6bFi4cu92deWaaPdtHwCAjAeANHR1pxYrU2TkW+2puTqtXp7a2sdgXMAwB4C3a2tLatWNxIOjrXy8+febzX5CVAPAWkyals89OX/va6O5l7tx0xRWpvX109wK8EwFgX+3t6aqr0tVXj9bjn39+WrUqlUqj9fhAzQSA/ZRK6aab0nXX1f+RL7oo3X231R8ahABQTamUbrgh3XprcVCoXq6+Ov3TPznyA41DABhGe3uaPz/95CfptNNG+lBHH51+8IPicwae+0MjEQCGVyqlU09Njz+eli9PRx55KI/Q0lKcUXj22XTBBZ77Q6MRAA7oXe8q3hv6hS+k//mf9M1vpl/91Vq/8T3vKQ4ivfhicTph8uR6HkoC6sQH8anBa5/Y+vzni48Kd3ene+9N99+ftmxJ//3fqacn9fYWz/QnT07HH59OOinNmFFc4/OXf7l4m39ra+7RgWEJADVrbi4+LdzRkRYsSJ/8ZHEz90mTii9OnFhc0nn37jQwUCz6HR3F6wag4QkA9biP/IQJxR/P9+EXimdqAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQTbVsVCqVTjvttNEfJrpTTjll9uzZc+fObW5uzj3LOHfvvffeeeedmzdv7u3tzT1LFJVKZefOnV1dXf39/RMmTCiVSp2dnW1tbbnnGp82bdpULpdzT8HBmzZt2pNPPllhdGzfvv3CCy/M/UMGGEZnZ+eWLVtyL5XjUHd39+mnn577xwtwQOeee27u1XIcWrx4ce4fLPyinQMgi4cffvicc87JPcX4sWvXrqlTp/b19eUeBBqFdwE1rvvuuy/3COPKQw89ZPWHtxKAxrVhw4bcI4wrjzzySO4RAAAAAAAAAAAAINXR/wPycxliaF6JBgAAAABJRU5ErkJggg==
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[1, 3], [2, 3], [3, 3], [3, 2], [3, 1], [3, 0], [2, 0], [1, 0]], "path_cell_ids": [14, 15, 16, 12, 8, 4, 3, 2], "start_cell": [1, 3], "end_cell": [1, 0], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 79546151}, "difficulty": {"difficulty": 0.7713685006057711, "H_turn": 0.9182958340544896, "H_turn_norm": 0.9182958340544896, "H_rate": 0.5509775004326937, "H_rate_norm": 0.5509775004326937, "turns": ["STRAIGHT", "LEFT_90", "STRAIGHT", "STRAIGHT", "LEFT_90", "STRAIGHT"], "turnCounts": {"STRAIGHT": 4, "LEFT_90": 2}, "steps": 7, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[3, 3], [3, 2], [3, 1], [2, 1], [2, 2], [2, 3], [1, 3], [1, 2], [1, 1], [1, 0], [0, 0], [0, 1], [0, 2], [0, 3]], "path_cell_ids": [16, 12, 8, 7, 11, 15, 14, 10, 6, 2, 1, 5, 9, 13], "start_cell": [3, 3], "end_cell": [0, 3], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 668436076}, "difficulty": {"difficulty": 0.9451409410396305, "H_turn": 1.4591479170272448, "H_turn_norm": 0.9206198357143051, "H_rate": 1.2372400431306192, "H_rate_norm": 0.9819225990276188, "turns": ["STRAIGHT", "LEFT_90", "LEFT_90", "STRAIGHT", "RIGHT_90", "RIGHT_90", "STRAIGHT", "STRAIGHT", "LEFT_90", "LEFT_90", "STRAIGHT", "STRAIGHT"], "turnCounts": {"STRAIGHT": 6, "LEFT_90": 4, "RIGHT_90": 2}, "steps": 13, "baseAngleUsed": 90}}
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[0, 0], [1, 0], [2, 0], [2, 1], [3, 1], [3, 2], [2, 2], [2, 3], [1, 3], [1, 2], [1, 1], [0, 1]], "path_cell_ids": [1, 2, 3, 7, 8, 12, 11, 15, 14, 10, 6, 5], "start_cell": [0, 0], "end_cell": [0, 1], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 404365471}, "difficulty": {"difficulty": 0.8646116085654025, "H_turn": 1.4854752972273344, "H_turn_norm": 0.9372305632161296, "H_rate": 1.067737830492979, "H_rate_norm": 0.7556831765893117, "turns": ["STRAIGHT", "RIGHT_90", "LEFT_90", "RIGHT_90", "RIGHT_90", "LEFT_90", "RIGHT_90", "RIGHT_90", "STRAIGHT", "LEFT_90"], "turnCounts": {"STRAIGHT": 2, "RIGHT_90": 5, "LEFT_90": 3}, "steps": 11, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[0, 1], [0, 2], [0, 3], [1, 3], [1, 2], [2, 2], [2, 3], [3, 3], [3, 2], [3, 1]], "path_cell_ids": [5, 9, 13, 14, 10, 11, 15, 16, 12, 8], "start_cell": [0, 1], "end_cell": [3, 1], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 532735992}, "difficulty": {"difficulty": 0.8984412651530971, "H_turn": 1.5, "H_turn_norm": 0.9463946303571862, "H_rate": 1.1428571428571428, "H_rate_norm": 0.8265112173469635, "turns": ["STRAIGHT", "LEFT_90", "LEFT_90", "RIGHT_90", "RIGHT_90", "LEFT_90", "LEFT_90", "STRAIGHT"], "turnCounts": {"STRAIGHT": 2, "LEFT_90": 4, "RIGHT_90": 2}, "steps": 9, "baseAngleUsed": 90}}
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[0, 1], [0, 0], [1, 0], [1, 1], [1, 2], [2, 2], [2, 1], [2, 0]], "path_cell_ids": [4, 1, 2, 5, 8, 9, 6, 3], "start_cell": [0, 1], "end_cell": [2, 0], "maze_config": {"shape": "square", "width": 3, "height": 3, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 198670151}, "difficulty": {"difficulty": 0.92, "H_turn": 1.584962500721156, "H_turn_norm": 1, "H_rate": 0.8, "H_rate_norm": 0.8, "turns": ["RIGHT_90", "RIGHT_90", "STRAIGHT", "LEFT_90", "LEFT_90", "STRAIGHT"], "turnCounts": {"RIGHT_90": 2, "STRAIGHT": 2, "LEFT_90": 2}, "steps": 7, "baseAngleUsed": 90}}
c7d133f6-7b6c-43d0-9c7a-bf60570b7a5a
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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lCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoFSKJLshv11vegQAcCKOAABAKQIAAEq5OACtEdMTAFCv1c0LkYsDcPB4k+kRAGh30M0LkYsDcKQ+ZHoEAEnr8IlQ0i9ELg5AuLXV9AgqufmAF7DvZDBsZ7NQs4sXIhcHoFtOmukRVPJ0vInPa2MjwNkKMv12Nsvw+8S1XByAmwZdYHoERNe3MMP0CEBnFWSm2tmsR5d0cS0XB2DqqJ656cn/RjY3+p9vXGZ6BCBBuuXYOlBwJhcHQET+dvtADycbHObakqIbB3U3PQWAZA/AV68oev72f0tLcfd/RfLwyLe+VLzi7iGm5wBgi+tPoXxrYPHxh6+Z+cIHS7YeqWlsjkgk0+8rzErNSHXZMzPB5lZ3laylNVLTGK5vagm3tGb6fWU9cn7zzcsG98ozPRcANQEQkfQU7+zvXjH7u1eYHgQA3MRNDzkBADFEAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApVJMD6DdkSNHfvWrX73xxhtVVVVpaWmmx0lmhw4dMj0C4CwEwKTJkyfPnz8/EomYHgSARgTAmHHjxq1evdr0FAD0svUcAA9RY+6RRx5h9QcQJzYXbVsBqK2t7fQ8OMOsWbNMj4DompqaTI8AdJbNRdtWAOrq6jo9Dz7z4YcfHj9+3PQUiG7Tpk2mRwA6y+aibSsAPCaKrYqKCtMjoF0c78ZWMBh06SITCLfY2awhZGuzBLP5/bQVgJQUniuOpeLiYtMjoF38tMdWUVGRnc369esnDpOe6rOzWZbf1mbO/DG2FYDMzMxOz4PPjBkzxuPxmJ4C0fXp08f0CEmlvLy8w208Hs+YMWMSMo4WGRkZMQtAQUFBp+fBZ/x+/4ABA0xPgehKS0tNj5BUHnzwQa+3g3WmrKzM7/cnaiIViuwdeHEEYMazzz7b4W8FkASKi4snTZp0jg28Xu/ChQsTOJEKGTE8AkDMlZSULFiwgAZAg3nz5o0dOzbqTV6vd8GCBSUlJQkfCqe+/3wbTLnpppu2b99eVlbG8wFIeq+//vrDDz/cpUuXT7/i8XjKysq2b99+0003GR1NNV7wYFJJScmWLVtCodDatWt3797Nqba4mjNnzrp160xPodePT9m/f39FRUX37t3HjBnDeX/jCIB5fr//K6eYHiTJLV++nAAY1/sU01PgE5wCAgClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAcJ5IxCl3gqRGAACHaWmRmho5ebJTd9LUJP/6lzQ0xGwqJCMCADhJc7NUV8uwYTJ+/Pkv342NsnmzDBgg06db/wy0gwAADlv9hw+X3btl/Xq59trzOQ5oapItW+SrX5VgUP76V/nmN6074XQQoiEAgDOEw3L4sAweLHv3fvKVDRtk3Dg5ceIL3EkgIO+/b5UjEPjkKytXysiR1jmllpY4DA13IwCAA4RCcvCgtfofOnTG1996y3osb/M4IBi0Vv+rrvr8uaNt22TIEKmv5zgAn0MAAAdISZGcHMnKinLTxo3WI/oOjwNCIevE0bhx0WsxcaKkpYnHE6NxkSQIAOAAXq/k58sbb0jfvlFu3bixg3NB4bAcOCBjxkhdXZRbp06VX/9aMjNjOjGSAQEAnMHnk4ICa63v0yfKrW+/3W4DwmH5+GMZPdo60X+222+X3/8++rEF1CMAgGP4fFJYKOvWSY8e52rA6afyW1rk6FHrhUNHjkT5K7feKn/4A6s/2kMAACfx+aRbN+tc0IUXRrn17bdl7NjPGtC2+g8bZh0BnO3mm+XRRyUjI/5Dw60IAOAwPp8UF1uvAe3WLcqt77wjX/mK1YDWVuucz/Dhn3/hUJvvf1/+8hdWf5wbAQCcJzVVLrjAakDXrlFu3bxZrr5adu2yVv8DB6JscPPN8qc/8awvOkQAAEdKTZWePa3nhAsLo9z61lvSv7/s2RPlpu99z3rsz+oPGwgA4FSpqXLRRe02oLU1yhdvuEHmzWP1h00EAHB8A9avt14h2qEJE+TJJznvD/sIAOBsaWnSu7f12tD8/HNtdt118txzPPbHF5LyxTYHkHhpadKvn/WK/ltuib5Bjx6Rf/xjb11zbVW9OF4g3JKe6hPH23E4+T9NgQAAjhcOW+/zmjmz3Q0OHYpMm1bw0O++/uTWysOd+yQZaMIpIMANl4keNkw++ugcW3nnzs2dfte6u8pKL8hO4HBwNwIAOFjbdX7ae6/vmbwLFuROn1YxjQbALgIAOFU4bD3qt7f6t/E+80ze3XdWTCu78kIakCDh5mivx3UJAgA4Uihkvcu3vNw6/3O20tLQhjesd4qdxbNwYd69P1x7J8cBCbK/9v8/fM2FCADgPG3X9x8+XI4di3JrWVnja2ue917YsGaddcWIs3iefjrv7mnrOA5IiOqTIXEtAgA4TDgs+/fLiBFSVRXl1oEDm1a9fsfSD29+8r3/fvtEw7qN0Ruw8JncaVMr7hxQ1iMnETMrFnHzx6wRAMBJgkHrQ+GHD4+++g8a1Lji1Ul/3/v0ZutZgd++9uHv3mtsXLMu6nVDPYv+ljvtBxXTyob0ykvE5Fr1yXfxW68JAOAYwaD12H/kSKmujnLr4MGNK1695e/7Fr979NOvPbh83+wPQg2vrYl6vSDPor9l/+C2VT+4kgbEz7QxvcS1CADgDMGg7NtnnfmJuvoPGdK4fOXNi/f+fetnq3+b/3x57x/3ScPqiqjXC/IsXpQ96T9WTS0t700DYq9XQcbX+heJaxEAwAFCIevazsOHR/9c39Gj5bXX3q2LLNse7TlhkZlL98z7yNew8jXJzT37Vs/Sl7Jvn/Lq1NLBvaLcivOWnupddW+5uBkBABwgJUWKiiQv2oP0sWPln/+U7OyR/fJX3F1+cVH0y71Nf3H307WZVgNyojzr69n5QUpLcxkvCoqd3gUZ7/3X6IsL3X31Pa4FBDiA12udwNmwQQYPPuNtX1ddJS+99Omnun/5soL3fz7mlfer1u85fuxk6PQPh7c+MPhIsLT7hUNeX5M2doycPO2KQIMGhVauem7nyVSf745RF4lpDaGWLL8LLgZ3unBL5EBtU9WpV3z2Lsy4a3QvV5/5+RQBAJzB57MOAioqrDd/tZ0IGjtWli79dPVvk+L1XNe/63X9o31UZJtAF1m92ipHw6mLWZaXy8qV/pycycO7TB4e5Y1j0IxTQIDDPgZy9WrJzpbx42XZss+t/rakp8sVV8grr1j/MHasrFplPTHgcfOL1RE3HAEATuL3yyWXWOeC+vU7/093yciQQYOsz5K85JLzSQjUIACAw6SnS0mJ9bRwJ++ktLSzd4JkxykgwHlisnCz+qMjBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAolWJno8rKyiFDhsR/GI2ampqqq6sbGxtbWlrS09Pz8vLy8/M9Ho/puZLQvn37TI+gWnNz86JFi5YsWfLBBx+YniX57dixw/QIgAvdcsstEcTatm3b+vfvb/r/Lc7rCAAAztvOnTvHjRtXXV1tehB8Hs8BAIiv2267jdXfmQgAcIZwOGx6hKSycePGdevWmZ4C0REA4AzHjh0zPUJSefXVV02PgHYRAOAMBw8eND1CUnnzzTdNjwAAAAAAAAAAAAAAAAAAkqz+D1SHhOSFb+yhAAAAAElFTkSuQmCC
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{"path_coordinates": [[0, 0], [0, 1], [0, 2], [1, 2], [1, 1], [1, 0], [2, 0], [3, 0], [3, 1], [3, 2], [3, 3], [2, 3]], "path_cell_ids": [1, 5, 9, 10, 6, 2, 3, 4, 8, 12, 16, 15], "start_cell": [0, 0], "end_cell": [2, 3], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 148590349}, "difficulty": {"difficulty": 0.8434435647558839, "H_turn": 1.4854752972273344, "H_turn_norm": 0.9372305632161296, "H_rate": 0.9838614413637049, "H_rate_norm": 0.7027630670655152, "turns": ["STRAIGHT", "LEFT_90", "LEFT_90", "STRAIGHT", "RIGHT_90", "STRAIGHT", "RIGHT_90", "STRAIGHT", "STRAIGHT", "RIGHT_90"], "turnCounts": {"STRAIGHT": 5, "LEFT_90": 2, "RIGHT_90": 3}, "steps": 11, "baseAngleUsed": 90}}
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAXkElEQVR4nO3de5CV9Zng8d+Bpmm6uUkrSIwmKpdINKsmosYEKjqjYyadmZiYwQSVcohm8TIjtUnUufy3ydbsxBExJpao4IVEjY6oWZXCOwaMl11nRgISXK8T1hFooPt027ezdVZrk2AD0vbp95z3+XyKP6g+l/eh6vD7nvOet983JQAAAAAAAAAAAAAAoFYUsh6Aatfa2jpu3Lisp2CfvfDCC0cffXTWU1DVhmU9AFWtoaHB6l+jDjzwwKxHoNoJAHvyqU99KusRgEoRAPakpaUl6xGAShEAdmvMmDHz58/PegqgUgSA3fr+979vPzLkmADQv4v+n6ynACpIANhVY2PjokWLFi9enPUgQGXVVfj5qRn19fUzZsxoaWlZsGCBPT8QwUACsGnTpv32268Cw5CZrq6u5ubmujpvCKJ7/fXXm5qasp6CfbZt27bDDz98Xx81kP/w48ePFwDIpfHjx48ePTrrKdhnpVJp3x/kOwCAqAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgDyq7v7wz5DqZTeeWdwhoHqIwDkVLGYfvGL1N7+oZ6kvT2tXp3a2gZtKqgmAkAeFYvp7/4ufeUr6dJLB96AtrZ0yinpj/84LV6sAeSSAJA7xWK6/PJ05ZXlv19//QAb0N6e/vRP069+Vd4LdMUV6e//vvy0kC8CQL4Ui+nii9PVV//uJ9dfn/76r/etAcViamlJTzzxu5/80z+ls8/+sDuUoMrUZT0ADJ533kmXXJJuvHHXny9ZkgqFdNVVqbFx709SLJb3HT366K4/v/vu1NCQbrklDfO2iZzwUiZHSqV0wQX9r/LXX5/+6q/2vhunWExz5qSVK/u56eCD0w9/mPr6BmlWyJ4AkCMNDenII8u7bpqa+rl1yZLy54OOjt0+vFhMf/mX6b77+rnpox9NTz+d9t8/1fnQTH4IAPkyalT65CfLb+EbGvq59YYb0re+1X8DisV0/vnpZz/r56ZJk9JTT6UDDrD6kzMCQO40NKRjj02rVvXfgNtuS/Pn77ovqL09LVxYvun9Jk0qv/efPNnqT/4IAHnU0JCOOSY99FAaObKfW5cvL38O+P8NKBbT976Xrruun3tOnJjWrCmv/iNGVHhiyIAAkFONjem449K99/a/di9fnhYsKC/9xWL6m79JP/pRP/eZODGtXZsOOijV1w/BvDD0fKolv0aNSp/7XLrnnvRnf5Z6ena9ddmy8lFDkyeXDw99vwMOKL/3t/qTawJArjU2pi98Ia1Y0X8Dbr65/0ftt1968snykT9Wf3LNLiDybtSoNHt2+de4PuC3uOPHp1/+Mh16qNWf3BMAAmhqSiefXD7IZ6+/xDtuXHn1P+wwqz8RCAAxNDWlL31pLw0YN658vL/VnzAEgDAaG0tnfj2deOJu73D++R0fP6z/I0chjwSAKDq2t/XNn19+j787//iPw5Yt+4/NW4d0LMiOABBCT1v7yEsuHL70pj3dqVQaedGCsXfd3tG6c+gmg+wIAAG0tw9f8J+H7e6gz99XKo28+MK622516n8iEADyrlhM8+cXbrmln5uGD+/nfEGl0oiLLyzdfLMGkHsCQK4Vi+m88/o/x+fw4R3Lby/e/2A/3/qWSoUFC8q/KqwB5JoAkF/FYpo3L91+ez831dUVb//5M9OPXzXm48UV9/d/3OeFF6abbtIAckwAyKliMZ1zTrrzzn5uGjGieNc9z0z5zGlL151x6/pV46cU73+g/6M/L764fJ64trYhmBeGngCQR8Vi+Rrud93Vz0319cW77nn6kP902k3rOrv7evtKX1u+YXXz1OIdd/V/rojvfU8DyCsBIHeKxTR3bvnkP+9XX1+8e8UTB37ytJtefKfnvav7dveWWpb9eu3BR3XcuZsGXHZZuuYaDSB/BIB8KRbTN7+Z/vmf+7lp5Mj2Ffc/MvGIL9+6vru39Pu3dPX2nb50/dMfP6bj9jvLhwa93+WXp8WL935NeagpAkCOdHeXr+p+zz393DRqVPv/WLly/NSv3LLr6v+urt6+Ly5b/y/TZ3besLT/8wVdcUW6+mrfCZMnAkCO9PWVL+37/kP7GxuLD656oOHgM5dv6OnrZ/V/V0d37yk3vPjizFM6r1uSCoVdb66rS1OmVGJqyIoAkCMjR6ajjkq/+MUfXAaysbFr5aqH6j8y52cv9e5+9X9Xe1fv7Ov/7cWTTuu58aY/aEB9ffnqkqefXj6rKOSFAJAvDQ3phBPKR3++uxunqSk99tiLkw7/2m0b9rr6v6u9q/fkG9a9/SdfTj/+8Xs/GjmyHJXZs63+5IwAkDuNjemP/ijdcMN7V3c56qg71rX2lT7Q6v+uHZ09P3l+S/lA0muvLS/6jz6aTjqp/LSQLwJAHjU1pTPPTC+/nKZPTw0N+7L4v6ezu6+84p9zTnrllXTMMeXrSkLuuCg8OdXUNAh7bAblSaBa+QQAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABB1Q3gMc3NzRWYhOwVCoUDDjjgzjvvnDVrVtazABXnEwC/UyqV3nrrrdmzZ0+bNi3rWYCKEwD6sXHjxjFjxmQ9BVBZAkD/2trapkyZkvUUQAUJALu1adOmhx56KOspgEoRAPZk7ty5WY8AVIoAsCdbtmzJegSgUgSAPSmVSlmPAOxdX19f2ncCwF5s2LAh1bit7d1D8JB8rAiFQqECs1ClH9YFgL0YP358qnETmkYMwUOqzeTJk/f1IYVCoampqTLjUFkD+/1cAYDcGj169D7df+zYsRWbhcoaNmwgi7kAQG6dcMIJ+3T/z3/+8xWbhWokAJBbixYt+uD79AuFwpVXXlnhiaguAgC5NWPGjDlz5nzAO8+bN2/q1KkVnojqIgCQZ8uXL//0pz+917udcMIJN95445BMRBURAMi5Z5999qyzztrdvqBCoXDuueeuWbNmyOciewIA+bd8+fL169efcsopv3+U5+jRo0899dQNGzYsXbo00+moqQvCPP/88zk4NjygYrF45JFHZj0F2Zg2bdqqVauynoLaD8DHPvaxCRMmVGAYKqutrS3rEYAqYhcQQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEVZf1AFCNHt+49bIVL6Wc2trePaFpRApjW7H79W2d2zt7hg9L0yc2nT3zoFlT9st6qKogANCPta+0rn2lNespGHxP/mbbkl++MX5U3X//80/MP+mjKTa7gIBwWjt6vvXTf/uTHz2bYhMAIKiHfv128AYIABDXQ79++6an30xRCQAQ2n+5a32KSgDIv9aO7qxHoHptLXavfWV7CkkAyL/Xt3VmPQJV7ean30ghCQD5t72jJ+sRqGqb3u5IIQkA+TdieCHrEahqPb19KSQBIP8O278x6xGoamNHBf2VWAEg/+bOnJz1CFS1QyaMSiEJAPn3hanN4xqCvsXjgxgX9eUhAITw3/58WtYjQNURAEL49ucO+cK0CVlPAdVFAIjikUtmnjytOespoIoIAIE8fMlxP54zI+wOX/5AKesBqoD/CcTy7c8d8u3PHfL4xi03/+q3L73V3ldK40fVHbxfw/hRgS6Qku8Lwjzy0pZnXv0Ap3YoDMUwVU4AiGj21ObZU+0OyqeFd6//QAHALiCAsAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAiqLusBqHavvfZasVjMegoG0+TJkxsaGrKeguwJAHsxc+bMrEegIkaPHv3Zz372mmuumTp1atazkA27gCCotra2lStXTp8+fd68eVnPQjYEAEIrlUrLli078cQTsx6EDAgAkNauXXveeedlPQVDTQCAsqVLl27cuDHrKRhSAgCUlUqlhQsXZj0FQ0oAgPc8+eSTWY9A1Qegr6+vApMAGduxY0fWIzBAA1uWBxKALVu2DOBRZE652bNSqdTT05Nq3Nb27n1/SFeqcQNblgcSgObm5gE8isyNHTs26xGoaoVCoa6u5n85dELTiH1/SH2qcQNblgcSgGHDfHNQqwqFQtYjUL3GjRuX9QgM0MCWZUt5LBMnTsx6BKrXrFmzsh6BISUAsdxxxx1Zj0CVKhQKV111VdZTMKQEIJZZs2YdccQRWU9BNTr//PMPPfTQrKdgSAlAOOvWrbOrl13MmjXrJz/5SdZTMNQEIKLW1lafA3hXoVC44IILHn/88awHIQMCENS6devWrl07adIkxwXFVCgUxo0b19LS8uqrr3rvH1bNH/PLgB1//PGbN2/OegogMz4BAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABB1WU9AAyh3t7U1pZGjEjDhqUdO8p/Ukpjx6YxY8p/6epKTU2pzn8KovBaJ4De3tTRUf7z05+mRx5Jzz2X3nhj1/scdFA69th08snpG99IjY2poUEJyD0vcXKtqyv19aX770//8A/pmWf2dM833yz/ue++dOml6TOfSd/5TvrSl8ofFBoahm5aGFq+AyC/isV0553pE59IZ565l9V/F88+m/7iL9KMGennPy8/CeSUAJBHxWJ65ZV06qlp7tz06qsDfJJXX01nn51OO638l46OQZ4QqoAAkDvt7enRR8vv3596ahCebfXqNH16euCB8tNCvggA+dLenhYvTi0tg/me/Z130te+lq69VgPIGQEgR9rb0w03pMsvT6XSID9zqZS++920dKkGkCcCQF50dJQP8bz00gpu4pJL0hNPpM7OCm4ChpAAkBdtbemb3ywf9Fk5fX1pzhwfAsgNASAXisV07rlp586Kb2jHjjRvngaQDwJA7evrKx/w88ADQ7S5++9Pa9dW9qMGDAkBoPZ1dKQrrhjSLX73u74JIAcEgNr33HPl390dSs8/n154YUi3CBUgANS4HTvS1VdnsN1Fi947mSjULAGgxtXXpwcfzGC7991X3jTUMgGgxq1enc0xOcViWrMmg+3C4BEAall3d3r44cy2/vDD5dNNQ80SAGpZe3v5G+CsPPuss4RS0wSAWjZ8eNq0KbOt/+Y35SvGQM3y8qWW1denbdsy2/q2beXLC0PNEgBqWX19lsdibt+eRo7MbOvwoQkAtaxUynInzPDhTghBTRMAall3dxozJrOtNzWVB4CaJQDUsq6uNHlyZls/6CCHgVLTBIBa1teXpkzJbOtTpgz+pcdgCNUN5cZgkDU1peOOSytWZLLxvs8c98S/v/PgYy+lWrO1vXtCU26PX1q9KbsDw2qNAFDL6urS6aenv/3bTDa+85TTfvDIayt//XYmW4cPzy4gatyMGam5OYPt7r9//ZFHeLNJTRMAalxvb/r614d+s6Uzv77yXzcXu3qHftMwWASAGtfUlC67bKh/G2DYsPaF37n6mS1DulEYbAJA7dtvv3TGGUO6xa9+9bXSyEdeEgBqmwBQ+8aMSddck0aNGqLNNTa2X3n1xQ+8MUSbo/JaO3pSSAJALowZk37wg6HZVNd//cGqNzq9/c+T17cFPa23AJALjY1p/vz05S9XfENf/OLOb5wz/56XK74hhtCOTp8AoKY1NaVbb01HHVXBTRx1VPHm21puWf92mzNA5MqIqNd1CPrPJp9Gj06PP54OP7wiT3744cWVD593zytr/ndrRZ6f7Ew5oCmFJADkSKGQxo1LzzyTjj56kJ/5mGOKT61d+PBvb/+fmwf5makCZ8/8SApJAMiXYcPS+PFp9ep01lmD9ZSlOWe1r3rs7Htfu27Nvw/Wc1I9mkfXH//xcSkkASB3CoXy9wHXX59uu+3DniWiublz2a2//eE1J133r3e/8NagTUg1ueqMI1JUAkBONTWlr341vfxyWriwfIzQvmps7Lt0YceG3yw9aOYnrnz+hTd3VmRIstZy5MS5M7O7pETWCgN4zJYtWyZMmFCBYaAC2tvL5wu6+ea0bFl67rm9nMG/UEjHHtt19jm9c8957OXWy1a9+S+W/vxqOXLivd8+NuXC1q1bm/f9864AEENPT+roSIVC75q1w9auKWzcmDZvLv+kVCp/Ppg0qW/q1PZjjqs76cRtHT3L/tfWm57dvPE/ilkPTaU0j66/6owj8vTeXwDgg+nr62jdUezs6evr6yulrt7Szq6+/9NXt7m955UtHdsDnBUg3xeEeb8dnT1vbOts7+ppGDH8sObGc074yHGH5O1b34EFwAVhiGfYsFETxu9y5qAZWQ0D2fElMEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABFU3gMe0trYWCoUKDENmurq6mpub6+oG8nqgtvT09GzZsqW+vj7rQRhMra2tA3iUdZz31NfXz5gxo6WlZcGCBQceeGDW4zDINm/efO211953333r1q3r6urKehygKjU2Ni5atKhEjixatKixsTHrVxZQIy666KKsVy0Gx0UXXZT1qwmoNYsXL8567eLDWrx4cdavI6qX7wDYrTFjxrz00ku+D6hdmzdvnjZt2s6dO7MehCrlMFB2a+fOnUuWLMl6CgZuyZIlVn/2QADYk3vvvTfrERi4FStWZD0CVc0uIPakoaGho6Mj6ykYoFGjRnV2dmY9BdXLJwD2pLOzc/v27VlPwUBs377d6g8AAAAAAAAAAAAAAJBy4v8CaN6Jj2btj6QAAAAASUVORK5CYII=
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[1, 3], [1, 2], [0, 2], [0, 1], [0, 0], [1, 0]], "path_cell_ids": [14, 10, 9, 5, 1, 2], "start_cell": [1, 3], "end_cell": [1, 0], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 792107853}, "difficulty": {"difficulty": 0.5678367782143117, "H_turn": 1.5, "H_turn_norm": 0.9463946303571862, "H_rate": 0, "H_rate_norm": 0, "turns": ["LEFT_90", "RIGHT_90", "STRAIGHT", "RIGHT_90"], "turnCounts": {"LEFT_90": 1, "RIGHT_90": 2, "STRAIGHT": 1}, "steps": 5, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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AFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAACiVKs63vLxm4pzPV23dV98UMT2LUikuyWuXftPphX84u4fpWZLcfyza8Njisl17w5Go6VHgfI4PwB0vf/nQGxv5t2BWJCo7asN3vrLuyWVbPrvz5EyP43+ubGhffWO/+5dtqgiYHgTJw9mHgP78dtmDrP52sqki0O/+ZaanSE6s/mh1Dg5AqDEy6aW1pqfA/jZVBCYv3GB6imQzeeEGVn97ijj5EaiDA/Dg6xsaHP21T15PLCkzPUKy4UtqW1uqg+JYDg7Am19WmB4Bse3aW296hGTDl9S2dtY6+Fvj4ABUBxpMj4DYIlGembUyvqS21RBx8MmHDg6A1+M2PQIA7fLbpYtjOTgAXTpkmB4BgHaXDjhKHMvBAchv5zE9AgDVsjJSrxlaII7l4AAAgEEulzw/vlicjAAAwGFLT02ZN37gyD4dxcmS/y37fTpn+jwO6Fy4MZKe6oA51+yoC9Q3mZ4CMfg87j6d/WJ7TvlR/6FgQ1NFXUOgvsklrhxf6nn98x+6sFeG0/4rNAZg1lX9T+iWZXqK5DH4oQ9WlNeYngIxHNc5c/ntQ0xPASdxfMEAAEeGAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAASqWaHkC7nTt33n///R999FFtbe2xxx57/fXXn3POOaaHAtrEwoUL//KXv6xbt87lcpmeJclt3Lgxns0IgEljx46dNWtWNBpt/uvatWvnz59fWFj41ltv9ezZ0/R0QKtZv379mWeeWVZWZnoQ/AgBMGbYsGGLFy/+6cfLysqKiopWr15NA5Ac1q9fX1RUFAqFTA+C/fEagBlTp06Nufo3C4VCw4cPT+xEQFsZPnw4q789EQAzJk+efPANysvLFy5cmKhxgLaycOHC8vJy01MgNgJgwObNm6urqw+52bRp0xIyDtCG+DF2fADC4bDYT119UzybhRri2iyRlixZEs9m69atE/sJN0bEmYLBYCtuZkP2/NbY88cYhxGAvLw8sR+/xx3PZhlpcW2WSN+d9nNw9jxVLj3Vqc8au3bt2oqb2ZA9vzVZWVmmR8ABxfUTM2DAgHg2A+zs3HPPjWezUaNGtf0sigwePNj0CGhBAFwu15gxYw65GWBzI0eObNeu3cG3yczMPOussxI1kQp33313Soodn5ogrgBMmDChuLg4IcMAbeuxxx47+AaPP/54ombRIi8vr7S01PQUOKIAXHLJJQ8//PDBtwGcYuzYsbfccsuBbr3lllvGjh2b2IlUeOqpp04//XTTU+BwAtCvX7+ZM2c+//zzHo/nQNsAjjNlypQFCxYUFBT88IMFBQULFiyYMmWKubmS3LvvvjtlypQOHTqYHgSHuhTEokWLiouL7XnmD9ByJSUlmzdvrqys/OCDD0RkyJAhOTk5podKfrd8o6ysbOnSpXGeCIcjds8998RzPbgYARg5cuSR7xZwiJycnJKSEtNTqFP4DdNTJL9HHnkkngDw6jwAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJRyVACi0Va4h5bfCQAkBecEIBCQTZskGDzye4hGZe9eqa6WpqbWHAwAnMkhAQgE5A9/kKIi+fTTI29AXZ2ceaYMHChbt0p9fStPCABO44QABAJy883yyCPW/xkx4ggbsG+ftfqvWGE9jSguls8+a9GTCQBwPtsHIBCQiRNl+vRv/xoMfteAFJcrnjvITHdbj/1LSuTjj7/9UFWVDB0qr79uVQEAtLJ3AIJBGTdOZs7c/4PfNODaAbnulEM04OQeHY7xi5x3nixZ8qMbwmG5+GKZP19CobYYHADsz94BEJHOnWN88JsG9N2+7vnLex2kAYML2y+6um/KJRfLO+/EuLmwUM46S9LSWndeAHAKewfA65U//UluvDHGTcGg5+yzRtZ+/eKVvVNjNaB/l3Zvju/rH3uldajnp7p2lWXLJDtb3O62GBwA7M/eARARv18eeECuvz7GTeGw//yS4VVfvVjaZ78G9Mr3v3ttUbsbfuN6ZX6MT+zaVT76SDp2lNTUthscAGzO9gFobsCUKXL11TFuqq/3n19yRsWXP2zAMZ18yyb07/C7G1xz5sT4lIICa/Xv1InVH4ByTgiAiPh88vjjctVVMW6qr/dfMPqMPWtf+qYBhTne9yf063DXJNczz8TYOD9f3n+f1R8ARMQ566DPJ9OmWWfvzJ27/0319f6Lzh8+/9VXx/YpLsjK+eO/p/ztrzHu4aijrDNB8/NZ/QHAOc8Amnm9MmOG/PKXMW4Kh73nl5y658vcP93r/uu0GBvk58uHH1r/y2k/APANpz0W9vnk6aeti/m8+OL+N4XD3lHnSCQS47Py8uSDD6wzSln9AcCRzwCaeb0ye7ZccEGMm2Ku/p06WWd8dukiHk8CpgMAp3BgAJqfBzzzjIwefegts7Mji5dY532y+gNAMgTgm3NDQ7P/YV3h5yA6dNj3zpI9eQWs/gDg/NcAfuC5tTVXzH0u9eeFsmdPzA0aZ/z9U08nX10kLzfhw6n3r/Ja0yMASN4A/LJXlvv6CQda/a3/tt/efMKS96v9/sTOBcugh5aZHgFAsh4CCgS8N010zZp1sG02b/YNObHzvkppbEzcYADgEM4MQDAo113nmj370Fvu2JHyi5Nk2zZpaEjEYADgHA4MQDAo11xjnQUUpx075MQTZft2GtAqgvX8RmWbCjTwrUFyByAQkCuvlGefjXFTamrouRciv/51jJt27pRf/MIqAQ1osT11fA1tqnIf3xokcQCCQRkzRubNi3FTWlrghZdW9D6p6sH/ipSWxthg+3brecC2bfw6+BYK8jDTrngGgOQNQCBgrf4vvRTjJo8nMO/lj7odP2L65yf/96rqqY9Fx4w54LGgrVtpAAA4JwB1dXLFFTGu//P/q//i/D5n//3zcGNk3a66odNWVT/8RPTyy2NsvGuXdSxoyxYacMRy/Lyrzqb41iAZA9C8+r/8coyb0tPrXl7wdl6fC2Z/2dAUbf7Y2p11w55cXfv4tOgFFx6wAZs304Ajc16/TqZHQGx8a5B0AQgG5fLLZX6s3+zo9YYXvflWzrEXzVr73erfbNXWvcP+tnrvjJly3nkxPnH3bhk8WDZupAFH4IHze6Wn2v7HRp/01JQHzu9lego4jL3/JQeDctFF8sorMW7y++Wdd1wnDLj7rS2NkR+t/s3+d0vt3LW1MmeOjBwZ49OrquSUU6S8nAYcLp8nZc64YtePfgczDHO5ZM64Yp/H3v+cYT/2/omJROToo2N8PDNT3n1Xjj/ek+l/57cnXj7oqP3Woxxf2pNXFF17coF13dB582T48Bh3UlMja9fyJuEjcGFx3sKJg7IyHHwdkWSSlZG6cOKgC4vzTA8C57H3v2G/Xx56SEIhmT79Rx985x0pKpKMjOa1/tlxx//x3KNf/Xz3popgRlrKwK5Zo4vyMtPd328/f7517eh33/3+Tjwe60WF006zCoHDN7JPx5opI/7n/S1zPtm+c2/Y407Jb+fp0sGbwjODNhaJytbq0M694fqmaH47z2UDj7pmaIHpoeBUqQ649P+jj0p1tbzwgvXX9u1lyRI59tjm1f87vfL9vfIPfNE3v18WLJBRo6zPbb7P11+XAQNY/VvomqEFrD6Ac9n7EFAzn09mzpRhw6zVf+nSn67+cfH75dVX5aSTrMNHb78tAwey+gNQzvbPAJr5/dZLwdu3W7/b6whW/2aZmfLmm9abgbt1O/I7AYBk4ZAANDfg5z9v6W919/ule3d+NTwAOOQQUDOXqxUW7la5EwBICs4JAACgVREAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUSv3ph3r06JGTk2NiGC0qKyvj2WzDhg2DBg1q+3E0qq2traqqCoVCIpKRkZGdnZ2VlWV6qCQXjUarqqpqampCoZDb7fb5fLm5uV6v1/RcyWnNmjWmRwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHJI/wfbt/ahxf8YEwAAAABJRU5ErkJggg==
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{"path_coordinates": [[0, 0], [0, 1], [1, 1], [2, 1], [2, 0], [3, 0], [3, 1], [3, 2], [2, 2], [2, 3], [1, 3], [1, 2], [0, 2], [0, 3]], "path_cell_ids": [1, 5, 6, 7, 3, 4, 8, 12, 11, 15, 14, 10, 9, 13], "start_cell": [0, 0], "end_cell": [0, 3], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 1036752613}, "difficulty": {"difficulty": 0.9465078635053685, "H_turn": 1.4833557549816874, "H_turn_norm": 0.9358932809493993, "H_rate": 1.419058224948801, "H_rate_norm": 0.9624297373393227, "turns": ["LEFT_90", "STRAIGHT", "LEFT_90", "RIGHT_90", "RIGHT_90", "STRAIGHT", "RIGHT_90", "LEFT_90", "RIGHT_90", "RIGHT_90", "LEFT_90", "LEFT_90"], "turnCounts": {"LEFT_90": 5, "STRAIGHT": 2, "RIGHT_90": 5}, "steps": 13, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[2, 2], [1, 2], [1, 1], [2, 1], [2, 0], [1, 0], [0, 0], [0, 1], [0, 2]], "path_cell_ids": [9, 8, 5, 6, 3, 2, 1, 4, 7], "start_cell": [2, 2], "end_cell": [0, 2], "maze_config": {"shape": "square", "width": 3, "height": 3, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 564604159}, "difficulty": {"difficulty": 0.9062771198451562, "H_turn": 1.5566567074628228, "H_turn_norm": 0.9821410328348752, "H_rate": 0.792481250360578, "H_rate_norm": 0.792481250360578, "turns": ["RIGHT_90", "RIGHT_90", "LEFT_90", "LEFT_90", "STRAIGHT", "LEFT_90", "STRAIGHT"], "turnCounts": {"RIGHT_90": 2, "LEFT_90": 3, "STRAIGHT": 2}, "steps": 8, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[1, 3], [1, 2], [0, 2], [0, 1], [0, 0], [1, 0]], "path_cell_ids": [14, 10, 9, 5, 1, 2], "start_cell": [1, 3], "end_cell": [1, 0], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 301031472}, "difficulty": {"difficulty": 0.5678367782143117, "H_turn": 1.5, "H_turn_norm": 0.9463946303571862, "H_rate": 0, "H_rate_norm": 0, "turns": ["LEFT_90", "RIGHT_90", "STRAIGHT", "RIGHT_90"], "turnCounts": {"LEFT_90": 1, "RIGHT_90": 2, "STRAIGHT": 1}, "steps": 5, "baseAngleUsed": 90}}
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[0, 0], [0, 1], [1, 1], [1, 0], [2, 0], [2, 1], [2, 2], [1, 2], [0, 2]], "path_cell_ids": [1, 4, 5, 2, 3, 6, 9, 8, 7], "start_cell": [0, 0], "end_cell": [0, 2], "maze_config": {"shape": "square", "width": 3, "height": 3, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 240475374}, "difficulty": {"difficulty": 0.9062771198451562, "H_turn": 1.5566567074628228, "H_turn_norm": 0.9821410328348752, "H_rate": 0.792481250360578, "H_rate_norm": 0.792481250360578, "turns": ["LEFT_90", "LEFT_90", "RIGHT_90", "RIGHT_90", "STRAIGHT", "RIGHT_90", "STRAIGHT"], "turnCounts": {"LEFT_90": 2, "RIGHT_90": 3, "STRAIGHT": 2}, "steps": 8, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAYYUlEQVR4nO3deZSU9Zno8V81TdMLNA2tKCoZDeBCNFGOa/TqmSx6zQQzcckYR5AxiA6gRuaaqLP8c89N5sxNVEQdo6igYuIYjagZFZcoYsD1XmcyLiiJa8LNyE5Xt0131z2VcGYm2qi03fV2vc/nc/iD09VV7wM0v2/V+75Vb0oAAAAAAAAAAAAAAEC1KGQ9AIPdhg0bRo4cmfUU7LDnn3/+wAMPzHoKBrWarAdgUKuvr7f6V6ldd9016xEY7ASAD/LpT3866xGAgSIAfJApU6ZkPQIwUASA7RoxYsSMGTOyngIYKALAdn3nO9+xHxlyTADo3ZzfyXoKYAAJAO/V2Ng4b968+fPnZz0IMLBqB/jxqRp1dXWTJk2aMmXKrFmz7PmBCPoSgNWrV48aNWoAhiEznZ2dra2ttbWeEET35ptvNjU1ZT0FO2z9+vXjx4/f0Xv15T98S0uLAEAutbS0DB8+POsp2GGlUmnH7+QYAEBUAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAPm1devHfYRSKb37bv8MA4OPAJBTxWL66U9TW9vHepC2trR8edqypd+mgsFEAMijYjH97d+mr341XXBB3xuwZUv6/OfTF7+Y5s/XAHJJAMidYjFdfHG69NLy76+7ro8NaGtLf/In6amnynuBLrkk/d3flR8W8kUAyJdiMZ17brriiv/8ynXXpW9+c8caUCymKVPSsmX/+ZXLLktTp37cHUowyNRmPQD0n3ffTeedl2644b1fX7AgFQrp8stTY+OHP0ixWN539LOfvffrd96Z6uvTzTenGk+byAk/yuRIqZTOPrv3Vf6669L553/4bpxiMZ16alq6tJebxo1L3/9+6unpp1khewJAjtTXp/33L++6aWrq5dYFC8qvD9rbt3v3YjF94xvpnnt6uWmPPdKTT6addkq1XjSTHwJAvjQ0pE99qvwUvr6+l1uvvz6ddVbvDSgW08yZ6Uc/6uWmXXZJTzyRdt7Z6k/OCAC5U1+fJk9ODz3UewMWL04zZrx3X1BbW5o7t3zT++2yS/m5/9ixVn/yRwDIo/r6dNBB6YEH0rBhvdx6663l1wH/0YBiMX372+kHP+jlO8eMSStWlFf/oUMHeGLIgACQU42N6ZBD0t13975233prmjWrvPQXi+mv/zpddVUv3zNmTFq5Mu2+e6qrq8C8UHle1ZJfDQ3pqKPSXXelr3wldXW999ZFi8pnDY0dWz499P123rn83N/qT64JALnW2Jj++I/TkiW9N+Cmm3q/16hR6fHHy2f+WP3JNbuAyLuGhnTMMeW3cX3Eo7gtLennP0977WX1J/e8Atjm6Tc23rTy16+809axtad5WO0eo+qb6wP95axr2zq6KbfHOWtrCmd+5ohxN90y9PTTPuSdXCNHllf/T37S6k8Egda47bnlqd98884X127pzHoQBtCljwx55Kz/9pmFNzVMn7bdBowcWT7f3+pPGNF3AZ1wzXNTb3re6p977Vu759z72rDTTk1HHLHdb5o5s33PT/Z+5ijkUegAnHDNc/f84rdZT0El7LNL09IzP1WacVb5Of72fO97NYsW/fuadRWdDLITNwC3PPUbq38Q++7S9PO//HTLX503ZOGNH/R9pdKwObOa77itfcPmyg0H2YkbgG/e+WLWI1Cp1f+cA0bNPbdmeyd9/lel0rBzZ9cuvsVH/xNB0IPAT7620X7/CA7YbcTjZx/QPOfsQq+f8jZkSPl9wh0df/DFUmnoubNLNakwbVrvnyoKeRH0FcDNT/066xEYcJ/Z/Xer/+yZ21v922+9rXjv/b0c9S2VCrNmld8q7HUAuRY0AKt+6z92zh24R/Oysw9o/ssZhdtu6+Xm2tribT9+ep/DHhqxZ3HJvb2f9zl7drrxRg0gx4IGoLtUynoEBtCBezQ/etb+I2aeWbj99l5uHjq0eMddT084+LiFL5x4y0sPtUwo3ntf72d/nntu+XPitmypwMxQeUED0Fw/JOsRGCgH7dH82Mz9m8/6i8Idd/Ryc11d8Y67nvzEZ4678YWOrT3dPaWTb315eevE4j/d0ftnRXz72xpAXgUNwLiWhqxHYEActEfzozP3H/GN6YWf3NnLzXV1xTuXLNv1U8fd+G/vdm17P/DW7tKURS+uHHdA++3bacBFF6Urr9QA8idoAFoag57+lG+Tx/1u9T/zjMJdP+nl5mHD2pbc+8iY/U645aWt3X+wD7Czu+f4hS89uedB7bfdXj416P0uvjjNn//h15SHqhI0AOTPH41ueHzO5ObZZxeW3NXLzQ0Nbf+8dGnLxK/e/N7V//c6u3u+tOilf9nn0I7rF6aa3v5fXHJJuuIKx4TJEwEgJ15f137rU29vmX1+L5cCbmws3v/QffXjTrn15a6e7R7/b9/a/fnr/23dF7+UbrghFQrvvbm2Nk2YMBCTQ1YEgPyYeecrd6cxbT/5w8tANja23ffgA3W7nfqjVd3bX/1TKq/5F3xuz7FjR6eTTy6/CeC/NqCurnx1yeOP99Yw8kQAyI9SKU37p1cea927bfGPtu3GaWra8sDDdxV2PXnxyx+8+h+2Z8sj5x36P788sbzsNzWlk05K//iP224bNiz99Kflq8pY/ckXx0I/qkP+aOTn9m5NOZWnC8I8saZz0uHH1F27YOhfXdD5yKOrRuz2ixc3XPiFvXr95iE16ROjGo6ZOHrfXf5wcW9sTFOnlq8ccOGF6cEH04EHlq8sBvkiAB/VUeNH/f1X9s56Cj6yU7+WvvqVuqamycOGTZ44pi+P0NiYpk1Lp5yShg/v5bgCVD8BIKeamvphj02/PAgMVo4BAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAULVZD0Bm3nzzzdmzZy9btmzTpk2lUinrcYBKE4CgzjnnnGuvvda6D5EJQETHHHPMsmXLsp4CyJhjAOGcc845Vn9AAML51a9+de2112Y9BTAoCEAs559/vv3+wO8JQCx2/gAfKwA9PT19uBeDwaZNm7IeAeh/fVuW+xKAtWvXpiq3rq1zx++yNVW5rq4u+3/4YN3d3VmPQKrYstyXALS2tqYqN7qpbsfvMjRVudra2kKhkPUUDGojR47MegRSxZblvgSgpsaRg2rV3Nyc9QgMXp4fVK++LcuW8liOOuqorEdg8Np5552zHoGKEoBYLrvsMs/y2J7FixdnPQIVJQCxTJw4cfr06VlPwWA0ceLEL3zhC1lPQUUJQDg33HDD4YcfnvUUDC7Dhw9ftWpV1lNQaQIQ0YoVK8444wz7gvi98ePHb968OespyIAABLVw4cKXX3752GOPHT58eNazkI1CodDa2vrggw+++uqrWc9CNnwcdFwTJ0584IEHfv/71atXO7s3jrFjx9bX12c9BdkTAMrGjx+f9QhApXnSBxCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQdVmPUDVWL56/UVLVqWcWte2dXTT0BTGhvatb67v2NDelVJqaagdN6q+pSHQHz/aP/f6Yvmfe2NH15CatM+YpqmH7n70hFFZDzUoCMBH9fTrG59+fWPWUwAfy+Ovrl/w87daGmr/95/uO+PIPVJsdgEB4Wxo7zrrh7/471c9k2ITACCoB158J3gDBACI64EX37nxybdTVAIAhPY/7ngpRRU0ABs7yqd/AKwrbl35WtDzO4IG4I117VmPAAwWNz35VgopaAA2/u4EcICU0up3gj4jDBqAoUOC/sGB9+vq7kkhBV0Hx+/UkPUIwGDR3BD0LbFBAzDtsOjvAAT+wydGB31GGDQAh+85cnTjjnwWSmkAhwGyNbLeK4BgvnfSvjvw3YUBnAQgE3ED8BeH7X7cfjtlPQVAZuIGIKV0/+yDNQAIK3QAft+A676+f0vUcwAgrlLWAwwCFr4048g9Zhy5x7JX19/81Nsv/7atu6d8RGjcqPpRO3SUuMpFu0KIC8Lk+J/7kVVrP9KlOwqVGGaQE4Btjp4wykWCIAfm3vmSazd9RNF3AQGEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFC1fbjP66+/vnHjxgEYhsx0dHTU19dnPQUVMnbsWP/c9DEAkydPHoBJgIoaPnz4Zz/72SuvvHLixIlZz0I27AKCoLZs2bJ06dJ99tln+vTpWc9CNgQAQiuVSosWLTriiCOyHoQMCACQVq5ceeaZZ2Y9BZUmAEDZwoULX3nllaynoKIEACgrlUpz587NegoqSgCAbR5//PGsR6CiBADYZtOmTVmPQB/19PT04V4CAGxTKpW6urpSlVvXtnXH79KZqtzatWv7cC8BALYpFAq1tX15c+igMrpp6I7fpS5VudbW1j7cSwCAbUaOHJn1CPRRTU1fFnMBALY5+uijsx6BihIAoKxQKFx++eVZT0FFCQBQNnPmzL322ivrKagoAQDKO3+uueaarKeg0gQAQisUCmefffZjjz2W9SBkoOpP+QL6oFAoNDc3H3300VddddW4ceOyHofqCcDatWtHjx49AMMAUDl2AQEEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQdVmPQBUUHd32rIlDR2aamrSpk3lXyml5uY0YkT5N52dqakp1fpPQRR+1gmguzu1t5d//fCH6ZFH0rPPprfeeu/37L57mjw5fe5z6bTTUmNjqq9XAnLPjzi51tmZenrSvfemf/iH9PTTH/Sdb79d/nXPPemCC9LBB6cLL0xf/nL5hUJ9feWmhcpyDID8KhbT7benffdNp5zyIav/ezzzTPqzP0uTJqUf/7j8IJBTAkAeFYvptdfSscem009Pr7/exwd5/fU0dWo67rjyb9rb+3lCGAQEgNxpa0s/+1n5+fsTT/TDoy1fnvbZJ913X/lhIV8EgHxpa0vz56cpU/rzOfu776aTT05XX60B5IwAkCNtben669PFF6dSqZ8fuVRK3/pWWrhQA8gTASAv2tvLp3hecMEAbuK889KyZamjYwA3ARUkAOTFli3pz/+8fNLnwOnpSaee6kUAuSEA5EKxmM44I23ePOAb2rQpTZ+uAeSDAFD9enrKJ/zcd1+FNnfvvWnlyoF9qQEVIQBUv/b2dMklFd3it77lSAA5IABUv2efLb93t5Keey49/3xFtwgDQACocps2pSuuyGC78+Zt+zBRqFoCQJWrq0v335/Bdu+5p7xpqGYCQJVbvjybc3KKxbRiRQbbhf4jAFSzrVvTww9ntvWHHy5/3DRULQGgmrW1lY8AZ+WZZ3xKKFVNAKhmQ4ak1asz2/qrr5avGANVy48v1ayuLq1fn9nW168vX14YqpYAUM3q6rI8F3PjxjRsWGZbh49NAKhmpVKWO2GGDPGBEFQ1AaCabd2aRozIbOtNTeUBoGoJANWsszONHZvZ1nff3WmgVDUBoJr19KQJEzLb+oQJ/X/pMaig2kpuDPpZU1M65JC0ZEkmG+85+JBlv373/kdXpWqzrm3r6Kbcnr+0fHV2J4ZVGwGgmtXWpuOPT3/zN5lsfPPnj/vuI28sffGdTLYOH59dQFS5SZNSa2sG291pp7r99/Nkk6omAFS57u70ta9VfrOlU7629F/XFDu7K79p6C8CQJVrakoXXVTpdwPU1LTNvfCKp9dWdKPQ3wSA6jdqVDrxxIpu8aST3igNe2SVAFDdBIDqN2JEuvLK1NBQoc01NrZdesW5971Voc0x8Da0d6WQBIBcGDEiffe7ldlU5//67kNvdXj6nydvrg/6sd4CQC40NqYZM9IJJwz4hr70pc2nTZtx1y8HfENU0KYOrwCgqjU1pVtuSQccMICbOOCA4k2Lp9z80jtbfAJErgyNel2HoH9s8mn48PTYY2n8+AF58PHji0sfPvOu11b8asOAPD7ZmbBzUwpJAMiRQiGNHJmefjodeGA/P/JBBxWfWDn34d/c9n/W9PMjMwhMPXS3FJIAkC81NamlJS1fnr7+9f56yNKpX2976NGpd7/xgxW/7q/HZPBoHV532J4jU0gCQO4UCuXjAdddlxYv/rifEtHa2rHolt98/8ojf/Cvdz7/236bkMHk8hP3S1EJADnV1JROOin98pdp7tzyOUI7qrGx54K57S+/unD3Q/e99Lnn3948IEOStSn7jzn90OwuKZG1Qh/us3bt2tGjRw/AMDAA2trKnxd0001p0aL07LMf8gn+hUKaPLlz6rTu06c9+ssNFz309r9Y+vNryv5j7j5ncsqFdevWte74610BIIaurtTengqF7hUra1auKLzySlqzpvyVUqn8+mCXXXomTmw76JDaI49Y39616P+uu/GZNa/8ezHroRkorcPrLj9xvzw99xcA+Gh6eto3bCp2dPX09PSUUmd3aXNnz//rqV3T1vXa2vaNAT4VIN8XhHm/TR1db63vaOvsqh865JOtjdMO3+2QT+TtqG/fAuCCMMRTU9MwuuU9nxw0KathIDsOAgMEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFC1fbjPhg0bCoXCAAxDZjo7O1tbW2tr+/LzQHXp6upau3ZtXV1d1oPQnzZs2NCHe1nH2aaurm7SpElTpkyZNWvWrrvumvU49LM1a9ZcffXV99xzzwsvvNDZ2Zn1OMCg1NjYOG/evBI5Mm/evMbGxqx/soAqMWfOnKxXLfrHnDlzsv5pAqrN/Pnzs167+Ljmz5+f9c8Rg5djAGzXiBEjVq1a5XhA9VqzZs3ee++9efPmrAdhkHIaKNu1efPmBQsWZD0FfbdgwQKrPx9AAPggd999d9Yj0HdLlizJegQGNbuA+CD19fXt7e1ZT0EfNTQ0dHR0ZD0Fg5dXAHyQjo6OjRs3Zj0FfbFx40arPwAAAAAAAAAAAAAAQMqJ/w+O99Z8Q4fUrgAAAABJRU5ErkJggg==
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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f8jEio491lqR2TuQHWVvuNX0CEhuRc0e0yPAYewaAL9fLr5Yrryyfdfi8ciiRRz8OSzReNz0CEiONiNbAtD2aLaHH5bzzmuv13e7Ze5c6dXL+hh6pMyfxycn25TbZeNfZ9iSvX9i/H6ZP1+++930v3JOjsyYIeeey9v/w1XRudD0CEiuwEubkU0BaNsPWLhQxo1L82s+/7x1twGH/g/f/RedJJwvt6WyfPZlkWUBaNte/+lPMn16em7T7d3b+tjhESPY+n87p3XpcHFFJ9NTIAlPrhN+nWEnDvmJyc+Xqir56CM588xv/yI+n0yZIm+/LV26WAeX8G0tuPrUc3uXm54CgJIAtO0HdOliHbpZvlzOOOPw/tv8fJk0SbZvl8mTrU2/2zl/art66foBT1/Vr0fHQI6b40GAU9nvWUDfLD9fhg6VF16QvXvjf5nhXvKSrFx50E8SPuYYGTEiftkP3d87X+Jxjvmk12X9j76s/9Gmp9DCdcPfTI+ALJTrwF8Fl3WTcEHBKxf+d+cxV/To2jH8WW2sZnNu/R53U1MsJydRXBw/5hjPiSeIx7Pyo13dTziqCwd8ACAbAvAv89bu/sOKT7y57hPK/N075hd6OxT5c2PxRFNd6+dbWj5e+P6O/Y9GWX1raZdSAgAAWRSANpHW+Ae1zR/UNpseBAAchtOhAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABK5X79S3fdddfgwYOHDh1aVFRkYiR8YceOHVVVVaanyE7xeHzr1q27du3yeDzDhg176KGHfD6f6aEAGwRgypQpIuLz+X7yk5/cd999BQUFGZ8KlsbGxjlz5pieIvutXbt2+vTplZWVb731lulZAHscAgqHw9OmTRs8ePCuXbsyOxJgwKpVqzp06GB6CsBO5wDWrl07fvz4TA0DmNTU1HT66aebngKw00ngJUuWLF26NCPDAIatWrUqHA6bngI4Uk1NTWm7CmjevHlHPA8OCAaDpkfAQU2ePNn0CMCRqq+vT1sAPvjggyOeBwd8+OGHpkfAQa1YscL0CMCRSnFHNqUANDc3H/E8OIDra+2spaXF9AhZxe/3p7JYeXl5+8+Cr+JGMAMmTJhgegQcVMeOHU2PkFV69+6dymKDBg1q/1kU8aV2XwsBMKBr1645OTmmp0By3bp1Mz1CVrnlllsOucxxxx1XXFyckXG0KCkpSWUxAmDGnXfeaXoEJOdyuUyPkFUqKioGDx78zctMnz49U+NoUZTacWYCYMbdd989YMAA01MAmbB06dKjjz76YN+9+eabR40aldmJ8AUCYMyqVauuuuoq3m8i6wUCga1bt44ePdrt/o8NTmFh4eOPP/6b3/zG3GjaJXkWEDLmsf3uv//+uXPn1tfXd+zYsXv37nl5eabnyk7/+Mc/Nm/ebHoKpTwez6JFi5qammbMmLFy5cqOHTuOGjXqnHPOMT2XdgTAvNv2Mz1F9quqqiIAZhUVFd10002mp8ABHAICAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgVK7pAQCkx+ptja4b/mZ6iuznyXFXdC545PKTK7t0EIdjDwAADkNLLL56W9PAB964/bmN4nAEAAAOW0Lk/pc3P/TKVnEyBwcgnjA9AQDdbnv2g3BrXBzLwQHY3hAyPQIA1aLxxP1LNoljOTgAtU0tqSz22d6UFgOAb2Hpxt3iWA4OQEtqe177ItH2nwWwAQ6KmtAQcvAWxsEB8HtyUlmsNOBp/1mA9pXjdh16oRQWQdr581LaENmTgwPQudiXymKlgbz2nwVoXyeU+U2PgOQ6d/CKYzk4AEcV8tYeWvzfhSeZHgHJHVVEAAC0p8v6H31Or3LTUyDbEADAGZbcMODiUzpxoB9pxLOAAMdYcPWpb29rvO25D9fs2BtsieXluIv8OaWBvJROEdtGpDXuzXXAW89gS2zDZ82S1QgA4CSndemw9MZK01Oo8Pa2pgEPvC5ZzQEdBgC0BwIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAACiVa3oA7Wpra++7776VK1fW1dV5vV7T42SzHTt2pLLYokWL+vTp0/7j6BWJRMrLywcOHHjHHXccddRRpsdRjQCYNGHChNmzZycSCdOD4IDG/UxPkeU2bdr01ltvPfzww1VVVTNnzjQ9jl4EwJgzzzzztddeMz0FYEwikZg1a9bWrVtfffVV07MoldI5AN6ipt2DDz7I1h8Qkddee+3BBx80PUW2SXGjnVIA6uvrj3ge/Id7773X9AiAXfDrkHYpbrRTCgCHRNPrk08+aWhoMD0FYBcNDQ2ffPKJ6SmySoob7ZQCEAqFxH6aW2KpLBaOprRYJq1YscL0CIC92PCXIpzapiPFDVGGpbjRTikAubl2PFec78lJZTFfXkqLZVKnTp1MjwDYiw1/KXypbTpS3BBlWIob7ZQCEAgEjngeHDB8+HCXy2V6CsAuXC7X8OHDTU+RVfx+f9oCUFpaesTz4ACPx9O3b1/TUwB2UVFR4fF4TE+RVcrLy1NZjD0AM5566im3m+dwAOJ2u+fOnWt6imyTzj0ApF2vXr2qq6tpAJRzu93V1dW9evUyPYhSbICMGTt27Lp16yoqKjgfAIVcLldFRcW6devGjh1reha97Hh5jx69evV6//33W1pali9fXlNTw6G2TNq1a9fy5ctdLtewYcM6duxoehxFgsFg9+7dhw8fznF/4wiAeR6P57v7mR5EncmTJ5seATCJQ0AAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFK5ku02fNYsThCOxnx5OeI0e4LRuuZoB2/uUUUe07MoUtvU0hhuLS/IKw3kidM45Ud9g0M2HUci+wNQNet90yMAgB1xCAgAlCIAAKCUgwPQGk+YHgGAdtFYXBzLwQHYsjtkegQA2m3dExbHcnAAdu9rMT0CAO12Nzt4Q+TgACRcpicAoF5CHMzBAehW4jc9AgDtujl5Q+TgAFw7vIvpEQBod62TN0QODsD5fcq7lDq4vQCcrkup//w+5eJYDg6AiLwyqdKX5+w/AgCH8uW5X5lUKU7m7K1n97LA2juHdWU/AEBmdS31r71zWPeygDiZ458F1L0ssOWeEX9bX/foim1b998ZUF7g6VLiz8tx2EVCzS2xfI8DnpD17z7fG9neEAlFY95c91GF3s7FPrfD/q87TzwhOxpCtXtbIq1xf17OccW+ToUOewyfE3/Uo7HEtvpQ3f5Lz7uW+ScO6+LoIz/ZE4A25/cpz46/DwDIGGcfAgIAfGsEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQigAAgFIEAACUIgAAoBQBAAClCAAAKEUAAEApAgAAShEAAFCKAACAUgQAAJQiAACgFAEAAKUIAAAoRQAAQCkCAABKEQAAUIoAAIBSBAAAlCIAAKAUAQAApQgAAChFAABAKQIAAEoRAABQypXKQoFAoHfv3u0/jEahUGj37t3BYDAWi/l8vg4dOpSUlLhcKf294Ftramqqr68Ph8Mi4vP5SkpKioqKTA+V5RKJRH19fWNjYzgczsnJCQQCZWVlfr/f9FzZacOGDcFg0PQUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAvtn/A+mwnSo609XMAAAAAElFTkSuQmCC
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[1, 3], [0, 3], [0, 2], [1, 2], [1, 1], [1, 0]], "path_cell_ids": [14, 13, 9, 10, 6, 2], "start_cell": [1, 3], "end_cell": [1, 0], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 358493952}, "difficulty": {"difficulty": 0.8345034448809783, "H_turn": 1.5, "H_turn_norm": 0.9463946303571862, "H_rate": 0.6666666666666666, "H_rate_norm": 0.6666666666666666, "turns": ["RIGHT_90", "RIGHT_90", "LEFT_90", "STRAIGHT"], "turnCounts": {"RIGHT_90": 2, "LEFT_90": 1, "STRAIGHT": 1}, "steps": 5, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[1, 3], [0, 3], [0, 2], [0, 1], [1, 1], [2, 1], [3, 1], [3, 0], [2, 0], [1, 0]], "path_cell_ids": [14, 13, 9, 5, 6, 7, 8, 4, 3, 2], "start_cell": [1, 3], "end_cell": [1, 0], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 194719154}, "difficulty": {"difficulty": 0.8535510639285974, "H_turn": 1.5, "H_turn_norm": 0.9463946303571862, "H_rate": 0.9649839288804954, "H_rate_norm": 0.7142857142857142, "turns": ["RIGHT_90", "STRAIGHT", "RIGHT_90", "STRAIGHT", "STRAIGHT", "LEFT_90", "LEFT_90", "STRAIGHT"], "turnCounts": {"RIGHT_90": 2, "STRAIGHT": 4, "LEFT_90": 2}, "steps": 9, "baseAngleUsed": 90}}
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O2hApZLOPjs9+miNlw46KD39dOruTmP8J0Nx+NtMsYwblw4+OGtAZ2eNV5cs2W4DBgfTueem+++v8dJBB6Vnn009Pbb+FIy/0BTOuHFp1qy0bNmOGrDNJT2VSnbB6D331Pj9Aw9MzzyTbf3Hjm3YxJAPAaCIOjrSIYek3/0u++GdlizJviLwdgMGB9Oll2YHiN7pgAPSH/6QJk5MLS0NnhhyIAAUVEdHOuKIrAHt7TVeveuurAGVytavjN16a43f2X9/W3+Kzd9siqu9PX3wg+mBB9KnPpXeemvbV++6K7tqaNKkdPPNNZZ917uyrf9++9n6U2D+clNoHR3pQx9KDz2UTjyxRgN+9avaS+23X3bNj60/RecQEEVXLqejj0733ptaW3fp9/fbLzvrO2XKrv4+NC0BIIByOc2enZYu3fkn+okT0/Ll2dH/trYRmg3yIwDE0NGRjj8+u9BzBw3Yd99s63/AAbb+BCEAhDF+fHY2+Oijt/sL552XXfVv608YAkAYg4PZpZ/Ll2/3F264Id14o8e/EIeLHIihUsk+4P/61zv5tauuSps3p698pfa3iKFY7AEQQKWSvvCFnW/9t5g/P910k/0AIhAAim5wMJ1zTrr77hovtbZmJwbe6VvfSgsXagCFJwAU2pY7PN97b42X2tqye38uW1a7Ad/8ZlqwYPeeIwbNRgAorkolnXlmuu++Gi+NG5d+85t03HHpve/NHgBQ855x8+dn54Q1gOISAApqcDB9/vPpt7/d7mf/Y4/NPvu3t6fDDkuPPFL7nnHf/na67rp6nikPzUAAKKLBwXTWWdv97P/gg9ln/7eP/LS3p8MPz+4bOm5cjd+/+up0zTUaQCEJAIUzMJA917fms73K5fTYY+mYY7Y95lMuZ/cNfeih2g34/vezDDgWROEIAMUyMJBOPz09/HCNl8rl7HD/EUfUPuJfLmf3Dd3evSKuvVYDKB4BoECGhtL552cH9N9pwoTsQcGHH157679FR0d2z7i77qr99MfrrnM+gIIRAApk8+b03e/W+BJvV1e29T/00Npnev9buZw++cm0eHGN57+3tWVnDqrVYZ0Y8iQAFEhbW5o5c9tLevbaKz35ZDr44J1v/bcol9PJJ6fbb/+fBmy5bHT27NpfGoDmJAAUS3t7+sAH/nPr/733Tk89lWbN2tWt/xblcpozJ91229YGjB+ffv/77ON/udywuSEHAkDhdHRkG+vFi1N3d7b1nz699rU9u9KAW25J++yTPR5yxycPoDmV6limt7e3u7u7AcPA8BkYyI7Xt7Xt0f39Bway8wptbfUkJG+rVq2aPHny7i7V39/f6U6oTaivr6+np2d3l3I7aApqWA7WO+JPoTkEBBCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAE1VLHMmvWrCmVSg0Yhtxs2LChp6enpaWevw8UyZo1azZu3Jj3FOy2NWvW7P5CyXacrdra2g499NA5c+ZcdtllkydPznsc9tSqVav8e2THBIBtlcvla6+99oorrsh7EPaIALBTzgGwrUql8rWvfe3yyy/PexCgsQSA2m76t7ynABrIISC2a8KECS+99JLDCE3KISB2yh4A29Xf33/zzTfnPQXQKALAjixdujTvEYBGEQB25C9/+UveIwCNIgDsyPr169euXZv3FNTj1VdfzXsEAAAAAAAAAAAAAAAA0jD5P+e28kTNDK3DAAAAAElFTkSuQmCC
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[0, 1], [0, 0], [1, 0], [1, 1], [2, 1], [2, 0], [3, 0], [3, 1]], "path_cell_ids": [5, 1, 2, 6, 7, 3, 4, 8], "start_cell": [0, 1], "end_cell": [3, 1], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 731897982}, "difficulty": {"difficulty": 0.9313685006057711, "H_turn": 0.9182958340544896, "H_turn_norm": 0.9182958340544896, "H_rate": 0.9509775004326937, "H_rate_norm": 0.9509775004326937, "turns": ["RIGHT_90", "RIGHT_90", "LEFT_90", "LEFT_90", "RIGHT_90", "RIGHT_90"], "turnCounts": {"RIGHT_90": 4, "LEFT_90": 2}, "steps": 7, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[1, 2], [2, 2], [2, 1], [2, 0], [1, 0]], "path_cell_ids": [8, 9, 6, 3, 2], "start_cell": [1, 2], "end_cell": [1, 0], "maze_config": {"shape": "square", "width": 3, "height": 3, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 803326413}, "difficulty": {"difficulty": 0.5509775004326937, "H_turn": 0.9182958340544896, "H_turn_norm": 0.9182958340544896, "H_rate": 0, "H_rate_norm": 0, "turns": ["LEFT_90", "STRAIGHT", "LEFT_90"], "turnCounts": {"LEFT_90": 2, "STRAIGHT": 1}, "steps": 4, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[3, 2], [3, 3], [2, 3], [1, 3], [1, 2], [2, 2], [2, 1], [3, 1], [3, 0], [2, 0], [1, 0], [0, 0], [0, 1]], "path_cell_ids": [12, 16, 15, 14, 10, 11, 7, 8, 4, 3, 2, 1, 5], "start_cell": [3, 2], "end_cell": [0, 1], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 753293094}, "difficulty": {"difficulty": 0.9867521772903607, "H_turn": 1.5726236638951638, "H_turn_norm": 0.9922150607220183, "H_rate": 1.5509775004326936, "H_rate_norm": 0.9785578521428746, "turns": ["RIGHT_90", "STRAIGHT", "RIGHT_90", "RIGHT_90", "LEFT_90", "RIGHT_90", "LEFT_90", "LEFT_90", "STRAIGHT", "STRAIGHT", "LEFT_90"], "turnCounts": {"RIGHT_90": 4, "STRAIGHT": 3, "LEFT_90": 4}, "steps": 12, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAWaElEQVR4nO3de5CVdf3A8e+CC7tnQVyXWzYIhTKAilmpFFJkVGo6NemIGTRmM9llqnGy8Q+bptIZ+yNSZ+xn2lU0lUmtvGWNkxIXdbHL4AVKRU0TEJCLy95o9/zmCdLSAxxkd5/n7Of1Gv7QPQ97Pi7yfZ/zPM95npQAAAAAAAAAAAAAAAAAAAAAAIA81VWzUalUmjZtWv8PE1FHR8fmzZvb29t7enoaGhpGjRrV3NxcV1fVnwv75dlnn928efM+N2tpaZk0adKATBRLuVzesmXLtm3bOjs7hw4dWiqVWlpaGhsb855rcFq9enV7e/s+Nzuomu81ffr0lStX9sVUkJsFCxbceOON+9zs1FNPveGGGwZkIugvxx9//COPPLLPzYb02wAAFJoAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAR1UN4DkLq7u5cuXbp+/fqTTjpp4sSJeY8D/ei5555btmzZ+PHjZ8+ePWzYsLzHic47gDytWbPm2GOPbWhomDt37vz58ydNmtTc3Lxw4cK854K+t3Dhwubm5kmTJs2fP3/u3LkNDQ3HHnvsmjVr8p4rNAHIzeLFi4866qhVq1aVy+VXv7h169aLLrpozpw5uY4GfWzOnDkXXXTR1q1bX/1KuVxetWrVUUcdtXjx4lxHC00A8rFmzZpzzz23t7e34qNLliw577zzBnwo6BfnnXfekiVLKj7U29t77rnneh+QFwHIx9lnn72n1X+XRYsWrVu3bgAngn7x0ksvLVq0aC8b9Pb2zps3bwAn4jUCkIPu7u7HHnts79uUy+XLL798oCYK4cUXX6xms/Xr1/f/LIFceuml/72Ts6JHH320u7t7oCbiNQKQg6VLl+7zr0RKqbW1dUDGiaLKALzwwgv9P0sgK1eu3Oc25XJ56dKlAzIO+x+AalYrqrd27dpqNtu0aVP/zxJIR0dHH25Glar837jKvxRUqcpFu6oATJ06tdqnpQqNjY3VbDZ8+PD+nyWQMWPG9OFmVKnK/42r/EtBlapctKsKwOmnn17t00JRTZ48uQ83gyKrctHedwCmT59+5pln9sVIkKf6+vo+3AyK7Mwzz5w+ffqBBqClpWXx4sX+SgDUkPr6+sWLF7e0tLz5AMyaNWvFihVHH310X88GQP86+uijV6xYMWvWrP27GNwZZ5xxwgknzJ07d+bMmf05HgD9aMqUKcuWLXvooYfuu+++1tbWO++8c98BuOOOO/pzJAAGzsx/SynV1dW97iEfBAMISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAq3BO4VvX0pJ07U11dGj4871EAakAtB6C9PQ0Zkjo60qpV6a9/TRs2pK1b07Bh6ZBD0uGHpxNOSFOmpM7OVCqlg2r5PxOgf9TgytjTk7q60pNPpp//PN1+e/rHP/a45dCh6cQT06c+lc45J9XXp5EjB3ROgGKrqWMAPT3ZK/pf/zp7df+Od6Qrr9zb6r9r+xUr0pe+lMaOTRdckNauTW1tAzctQLHVTgB27EgPP5yOOSaddVZ6/PH9+709Penmm9MRR2QZ2Lo122sEEF4tBKBczl65X3BBmjUrPfXUAX2fm25Kb397uuuuLCcAsRU+AN3d6aWX0syZ6Re/6JtvuGVLOvvsdNll2TFkgMCKHYCenvTii2nGjP3e57NP3/1uOv98DQAiK3AAyuW0bVt6//uzdwD9YfHidMkl9gUBYRU4AB0dae7cfZznc4CuvDI7OOyYMBBSUQPQ3p6+//30l7/0+xN99avZeUEA8RQ1ABs2pO98ZyCeqL09zZ9vRxAQUCED8Mor6ctfzi7sMzD+8If0pz9lhxyAyHbuPNAdwjt3pt7e7FeNKGQANmxI99wzoM948cXOCILQ2tvTmWdmu53fdAN27kzr16fZs9O6ddn567WgeAF45ZX0zW8O9Ovxhx5KTz89oM8IFEd7ezr99HTnndmJJ2+uAT09aePG7BNLK1akY49Na9Zk160pvOIFoL4+3XFHDs973XWOBEA45XL2ovODH0z33//ayYd//vP+NaCnJ23enN773uxzSynt/ucVK4q/X6F4Abj//nwW4ltvza4eCkRb/efMyfYBvKqjI33oQ/vRgN7e7PoCJ5yQnnvutS/u2JE+8pF0220FvwBlwQKwY0f61a/yeeoNG9ILL+Tz1EAuuruzt/5//vPrv159A3at/u95z/+s/rv861/pZz8r+M1IChaAnp70yCO5Pft/vwoABr3hw9MXvpCdc/hGHR3ZfqGHHtpbA3a9gXjf+ypfpHLWrOygQkNDKrCCBaCxse8v+1O9WthnB/SlpqZ0+eXpi1+s8FBXVzrllPTgg5UbUC6n7dvTSSelJ56o8Oh735vuvTf75sVWsAB0dOR5+tS6dQP34QOgIJqa0ve+lz7/+QoPdXenU0+t3IC2tuwtwmOPVfhd73lP+t3v0ogRqfAKFoB8D5i8/LKPg0FEjY3ZtWfOO2+PDVi+/H9OTmlry04W+tOfKmz/znfWyupfvADke+bsjh2pri7PAYC8NDamH/wguzDMG3V3p49+NHsfsKsBO3Zk/9raWmHL445LDzxQQ7cfL1gAhg/P89lLJe8AIK5SKV17bXbDqDfq7s4+Kdbauvsf/vjHCtu8611pyZIaWv1TSgU7RSnfYyYHH+wdAIRWKqWf/zw7HfG2217/UFdXti/omGMqn6l43HHZVcVqZM9PUd8BjBiR51lTb397zm9BgNw1NqZFi9LHP17hoa6uyqv/jBnZJ1hHjqy5V5AFC0BHRzriiNye/ZhjCn7SLjAQSqXsJuRnnFHVxlOnZvv9a3P/QcECMGRIdgZVXk4+ObenBgqlVEq33JLt7t+7qVOzzw8dckgtrv7FC0BT075/4v2kuTlNmJDPUwMFVCpldw6fO3ePG0yblp0aVLOrf/ECkFL24y6Vcnjes86qlUt4AwOhXM6OBu/llrFtbdm1A3p6Us0qXgB6etInPpHD837xizV3BB/oL+Xy7s/67uXqZM8/n536+eKL2XXfalPxAjByZPr2twf6LdXMmenIIwf0GYGCr/4nn5xWrtzHluvXpxNPzBpQm1eRKV4AUkpjx2Y7ZAbSlVfms98JKOzq/0h1VyZevz67GUBtNqCQARgxIv3f/w3cDpl589LRR9fuYRygz5T/c43Piqv/oYdW3kG9YUN2+mLt3Aq42AHYdTrQtdcOxBMddlj2RIW/aiswQKv/7Nlp1aoKj44end0e4Oab02c+U+HRdeuyfUHr19fW+4CiBqCxMfsk3vnn9++zDBuW3bHBzh+g/J/V/9FHKzw6dmy2+k+cmC0aV1+dPv3pCtusX5+OPz67sWDtvA8YUuiTcK++OruvZj8ZMiT7oMfUqdlt6IHIyuW0bVu252cvq/+ECdnqv2tpuuaadO65FbZ86aXsjJLaaUCBA7DrfcDtt2dnYvW5oUOzSz59+MNe/kN0vb27V/+Kd3cZNy49/HB661t3r/67lErpxz9O55yzxwY8/3xNNKDYAdj1g77jjvTJT/bx97zrruxgjl3/EFxv7+6jvhVvRjt+fHYJ6Net/rs0Nqaf/CR97GMVftfGjdm+oGeeKX4DCh+AXev1j36UfvjDCn8Gb8K0admf9Pvfb/WH6Hp7sw/6zpxZefWfMCG759dhh+1xL3GplG66Kbtv8Btt2ZJF5bnnsguIFlgtBGDXSUELFqQnn0xz5rz5b9LQkC69NPsTPfzwrN5AcN3d2YvLv/2twkMTJ2av/ceNSwft9aYppVJ254CK1wvatCmddlrBDzHWSAB2/aAPPzzbdbN0aXrf+/bv9zY1pa9+NTsyc+GF2dI/pHb+q4H+09CQvvzl9LnPvf7rEydmV3kbPTo7WLhPpVL6zW/SBz7w+q+PHZvuvrvge4EKdkewfWpqSrNmZT/WV15J11+f7r03Oz6zpzsJv+Ut2a6eefOyU4l6e+3zAV6vVEpXXJEdBF68ePdXJk3KVpWWlqpW/1e/yZ13ZlcyfuCB3V8ZPz67THTFgwdFUmsBSCn7yO6IEdmvr30tfeEL2Y9+06bseMvmzdmfYn19dnXWww7bfcZud3ct3qYHGDilUvrpT7NDwb/9bZoyJVu4m5v3ez9BU1P2wvSUU7JdFK++gSj2/p/aDMCr6uvTqFHZP7zlLdmvitzhC9inUin98pfpS19K3/9+9gryze0lLpXSPfekCy5IV12VJaT6NxD5qeUAAPSVpqbstM66ugM6RjhiRHY/4QP8JgNIAAD+rU9es9fCC/9X1UamAOhzAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEd9MYvTZkyZcKECWPGjKmvr89jpMFv7dq1eY/AHi1fvnzBggV5TzF4/POf/8x7hOi2b9++fPnyBx98sKoAPPlvAzIYFM4z/5b3FNAH2traLrnkkuuuu66zs7PiBhUCAECt27hx48knn/zYY4/tZRvHAAAGofnz5+999ReAQtu+fXveIwwqvb29eY8AA+S+++77/e9/v8/NBKC4NmzYkPcIg8qzzz6b9wjsUUdHR94jDCq33nprNZsJQHH19PTkPcKgsmnTprxHYI/+/ve/5z3CoLJ69epqNhMAohg2bFjeI7BHo0aNynuEQaW9vb2azQSguIYOHZr3CIPKSSedlPcI7JHPXuRCAIpr3LhxeY8wqFxxxRV5j0BlQ4cOnThxYt5TRCQAxXXwwQfnPcKg0tDQcPzxx+c9BRV84xvfyHuEoASAQFpbW2W1aN797nd/61vfynuKoASAWLZt2+Z9QEHU1dV99rOfXblyZd6DxFXVpSBaWlpOPfXU/h8mimeeeWb58uV5TxFXa2trZ2fnhRdeuGzZsu7u7jFjxkyaNKmuri7vuQa/nTt3Pv300xs3bmxubj7nnHMuvvjivCeKrqoAvO1tb7vhhhv6f5gobrzxRgHIV0NDwzXXXJP3FJAzu4AAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAOynsA9ujpp5+ePn163lMMTl1dXZs3b+7q6kopDR8+vKWlZfjw4XkPFUVXV9fo0aNPPPHESy65ZNy4cXmPE5oAFFdXV9fq1avznmLw6+zs3LZtW95TxLJ27drW1tarr756wYIF119/fd7jxGUXEJCPcrm8aNGiOXPm5D1IXFUFoFwu9/8kQERLlixZuHBh3lMMNlUu2lUFYMuWLQc8D0Bll112Wd4jDDZVLtpVBcAe0r718ssv5z0CFMjWrVuff/75vKcYVKpctKsKQEdHxwHPw2ueeOKJvEeAYlm2bFneIwwqVS7aVQXgoIOcLNSXJk+enPcIUCxjx47Ne4RBpcpFu66ajcaPH79u3boDHond2traRo4cmfcUUBR1dXWdnZ3Dhg3Le5DBY/z48Rs2bOibdwCHHnpoX4zEbiNGjGhoaMh7CiiKGTNmWP371ujRo6vZrKoAlEqlA56H/3HbbbflPQIUwpAhQ2655Za8pxhsGhsbq9nMB8Hycdppp33lK1/JewrI2ZAhQ2666aapU6fmPUhQApCbq6666u6777YviJjq6upmzJjx+OOPz5s3L+9Z4nJ6T55OO+20jo6Otra2a6655sknn5w+fXqVe+44cG1tbU899VRK6cgjj2xqasp7nEDa29snT548e/Zs+/1zJwD5GzFixNe//vW8pwDCsQsIICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAiqrpqNSqXStGnT+n+YiDo6OjZv3tze3t7T09PQ0DBq1Kjm5ua6uqr+XHjTtm/fvmXLls7OzpRSQ0NDc3PzwQcfnPdQg1y5XN6yZcu2bds6OzuHDh1aKpVaWloaGxvznmtwWr16dXt7e95TAAAAAAAAAAAAAAAAAAAAAAAAae/+H7XhAlY6Zk0gAAAAAElFTkSuQmCC
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAZGklEQVR4nO3deZRW9Zng8V9RLFVvFSiLgBsoGg8Q3DciUYloxAZ7eqIToiPGYzvRJN3xdJtznBPtTozkdMcWxzh2QD0xbrGbiVlao01yMioquKB2XNC4YERcWAUKareoOVd6YpQCSinq3vd9Pp/DH1jvrfd9LOB+37u896YEAAAAAAAAAAAAAAAAAAAAAADkqao7C5VKpXHjxu36YSJqbm5eu3ZtU1NTR0dHTU3NbrvtNnjw4Kqqbv258Ik1NDSsW7eupaUlpVRTUzN48OBBgwblPVSF6+zsXLdu3YYNG1paWqqrq0ul0tChQ2tra/OeqzK9+OKLTU1NO1ysb3eea/z48YsXL+6JqQDY5Y4++ugnn3xyh4v12fWTAFBEAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEH1TRVh/gtr5jzyxrK1zSmlYfX9Rw2u7VddlcpKY1tHXf/qVFZWbWx9c31rc3vHgL59RgwcsPfuNX3K7KdefjZ3prfWN6/c2NbWsXnEwAFfOmLPCybtk/dQlKuyD8DStU1TfrB42bvZqh9CeT5t+r8vrb3kF7//6V8e9vlxw/Ieh/JT3ruAlq5tmjDrEWt/ImtoeW/qD5/85e9W5T0I5ae8A3DSDxa3tG/OewrIWWdn+tItv2tq82+BMAGY/8KaN7z3h/e1vrf5f979Ut5TUGbKOABzH34j7xGgQO55bnXeI1BmyjgAr6/z9h8+8G5jW94jUGbKOABVnXlPAFDOyjgAQ+v75z0CFEipX5l9joTclXEA9htam/cIUCBD6vrlPQJlpowD0NenTuFPlMrtk+TkrowDAMDOEACAoMr+WkA7dPu5h44bWZcKr6W9o6YMD+K929S+prF9twF9RwxyTH4XOuqqRXmPQAWq/ACMG1l35KhBeU8BUDh2AQEEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFB98x6AtGnTpjlz5rz88suf/vSnhw0blvc4UWzatOnVV1+tr68/99xzx4wZk/c4USxbtuyRRx7p7OzMe5AK9+6773ZnMQHI03333XfGGWe0tLTkPUhoV1xxRXV19eWXX/6d73wn71kq2ezZs2fNmrV+/fq8B+EDdgHl5uKLL542bZq1fxF0dHRcccUVRx99dN6DVKzJkyd/85vftPYvGgHIx3333XfdddflPQUf8uSTT37lK1/Je4oKdN555y1YsCDvKeiCAOTjjDPOyHsEunDTTTflPUKlWbVq1W233Zb3FHRNAHKwadMme34K6/vf/37eI1SUK6+80iHfwhKAHMyZMyfvEdimefPm5T1CRVm8eHHeI7BzAShmwBvbOrqzWEt7txbrTUuXLs17BHb2/LkCan1vcyqehoaGvEdg5wIwduzYVDx1/au7s1hNv24t1pvGjx+f9whs0x577JHK04C+RdygP+igg/IegW3q1t+Y6dOnd2cxumnIkCF5j8A2HXDAAXmPUFEuuuiivEdgJwIwfvx4p6wQR79+/fIeoaJMnTp11KhReU/BJwrA0KFD582b558E8Indf//9NTU1eU/BxwzApEmTFi1aNGHChO0sA7B9BxxwwPPPPz969Oi8B6Eb1wI6/fTTjznmmJNPPnnixIlbP0qv6d+/v/3RPejtt9/esGFD3lMEdcABB7z++uvz58/fct3DqqqqvCcKpLm5ufF9TU1NOw7A3Xff3VuDsT0HHnjgkiVL8p6icsycOfOOO+7Ie4rQpr4v7yniqtqqu0U8bwyAXiAAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQXdwTuLzsN7T2iH0HHTisNLSmeo+aqtaOzStbq95tan/2rY1PL29oaHkv7wEBCqqMA3DBYUP+aero6taW9373TO2SB/utWZ3Wr0/9+6fdd2/ec5+2446q/fRn3161YUB9dd6TAhRRGQagoyO1tqZXXjnylluqfv7z9MYbWy9S+/6vVF2937HHdp59djrrrNSvXxo4MI9xAQqqrI4BdHSklpb0y1+mY45Jhx1Wde21Xa79P7T8okVVf/VXafjwdOGF6bXX0qZNvTctQLGVTwAaG9Pjj6eDD05nnpmWLPl439vRkf7lX9KBB2YZWL8+NTfvqiEBykc5BKCzM3vnfuGFadKk9OqrO/U8d96ZxoxJv/pVlhOA2AofgLa2tGpVmjgx/eQnPfOE69alL34xzZqVmpp65gkBylOxA9DRkd5+Ox1yyMfe57ND//iP6fzzNQCIrMAB6OxMGzakE0/MtgB2hXnz0mWX2RcEhFXgADQ3p5NP3sF5Pjvp2muzg8OOCQMhFTUATU3pmmvSf/zHLn+hiy/OzgsCiKeoAVi5Mn33u73xQk1N6Zxz7AgCAipkADZuTH/916m9vZde7v7701NPZYccgMja23d2h3B7e9q8OftVJgoZgJUr03339eorXnqpM4IgtKamdMYZ2W7nT9yA9va0YkU6/vj0zjvZ+evloHgB2Lgx/f3f9/b78cceS0uX9uorAsXR1JSmT0/33JOdePLJGtDRkVavzj6xtGhROvTQ9PvfZ9etKbziBaBfv3T33Tm87o03OhIA4XR2Zm86p0xJDzzwwcmHTz/98RrQ0ZHWrk3HHZd9biml//z9okXF369QvAA88EA+K+K77krVLhwN8db+kydn+wD+qLk5nXLKx2jA5s3Z9QWOOSYtW/bBFxsb06mnpp/9rOAXoCxYABob0y9+kc9Lr1yZ3nwzn5cGctHWlm36P/30R7/e/QZsWft/5jMfWvtv8d576cc/Tn0Lfcn9ggWgoyM9+WRur/6n7wKAijdgQPrqV7NzDrfW3JztF3rsse01YMsGxAkndH2RykmTsoMKNTWpwAoWgNranr/sT/eVwz47oCfV1aV/+If0ta918VBra5o6NT36aNcN6OxMDQ3ps59NL7zQxaPHHZfmz8+evNgKFoDm5jxPn3rnnd778AFQEHV16eqr00UXdfFQW1s67bSuG7BpU7aJ8PzzXXzXZz6Tfv3rVF+fCq9gAcj3gMm77/o4GERUW5tde+a887bZgIULP3RyyqZN2clCTz3VxfJHHFEua//iBSDfM2cbG1NVVZ4DAHmprU3//M/ZhWG21taWpk3LtgO2NKCxMfvPJ57oYsnDD08PPlhGtx8vWAAGDMjz1UslWwAQV6mUbrghu2HU1trask+KPfHEf/7moYe6WObII9OCBWW09k8pFewUpXyPmQwaZAsAQiuV0i23ZKcj/uxnH32otTXbF3TwwV2fqXj44dlVxcpkz09RtwDq6/M8a2rMmJw3QYDc1dam225Lf/EXXTzU2tr12v+QQ7JPsA4cWHbvIAsWgObmdOCBub36wQcX/KRdoDeUStlNyE8/vVsLjx2b7fcvz/0HBQtAnz7ZGVR5Oemk3F4aKJRSKf3rv2a7+7dv7Njs80O7716Oa//iBaCubsc/8V1k8OC07775vDRQQKVSdufwk0/e5gLjxmWnBpXt2r94B4FTyn7cpVIOn8g988zs+H7//r39utBDXlix6airFqXCa31v84C+BXvr2ZXJBw6eNXmvmu3cMnbTpmxNVV9f8Av+bEfx5u7oSF/4Qrrjjt5+3a99reyO4MOfamrreOqNhrynqBDTJwz77ol71kw9ZXtXJ1u+PDv18/HH0157lWkDitfhgQPTFVf09ibVxInpU5/q1VcEiurMw0b8ny9+qjT1lLR48Q4WXbEiHXtsdhuA8ryKTPECkFIaPjzbIdObrr022+8EhPffDh9x2xfG1J56cnevTLxiRXYzgPJsQCEDUF+ffvjD3tshM2NGmjChfA/jAD1lxhEjb/nz0bWfO6Hrtf+QIdkO6q2tXJmdvlg+twIudgC2nA50ww298UJ77ZW9UOGv2grsamcdMfLm00eVpkxOzz7bxcPDhjU+tLDl9p9s7vKace+8k+0LWrGivLYDihqA2trsk3jnn79rX6V//+yODXb+QHgzjhh50/T31/7PPdfFw8OHNz608MY3+xx69eL1/3Tt5pkzu1hmxYp09NHZjQXLZzugT6FPwr3++uy+mrtInz7ZBz3Gjs1uQw/F1scuyl3pS0eMvHn6vnVTTtzm2n/BwhvfSH97z2svr2o8bs6zG675351nn93FkqtWZWeUlE8DChyALdsBP/95dteFHlddnV3y6fOf9/afsjB8oE+o7CpnHzHyR9P3LZ10Ytd3dxkxovGhRde+0v6397y25QsvrWw88cbnN14/t3PGl7bZgOXLy6IBxQ7Alu2Au+9OZ53Vw8/5q19lB3Ps+qdMfP2E0XmPUJn++5Ejb9qy9u/yZrQjR256eNHsl9ov//WH7vn+3NsbT5j77MYf3tD55/+li+9avTrbF/SHPxS/AYUPwJb19U03pblze+ZjuuPGZX/SJ55o7U8ZuXzqmP2G2lrtYX85ca8bT9u7dMKkrtf+++7b9OgTs55t/vZvXt/6wWfe2vj5m5dsvvPO7L7BW1u3Lrtd8LJl2QVEC6wcArDlpKCZM9Mr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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[0, 0], [1, 0], [1, 1], [0, 1], [0, 2], [0, 3], [1, 3], [2, 3], [3, 3], [3, 2], [3, 1], [3, 0]], "path_cell_ids": [1, 2, 6, 5, 9, 13, 14, 15, 16, 12, 8, 4], "start_cell": [0, 0], "end_cell": [3, 0], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 1059438458}, "difficulty": {"difficulty": 0.8290050045963444, "H_turn": 1.4854752972273344, "H_turn_norm": 0.9372305632161296, "H_rate": 0.6666666666666666, "H_rate_norm": 0.6666666666666666, "turns": ["RIGHT_90", "RIGHT_90", "LEFT_90", "STRAIGHT", "LEFT_90", "STRAIGHT", "STRAIGHT", "LEFT_90", "STRAIGHT", "STRAIGHT"], "turnCounts": {"RIGHT_90": 2, "LEFT_90": 3, "STRAIGHT": 5}, "steps": 11, "baseAngleUsed": 90}}
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAWLElEQVR4nO3de5CVdf3A8e8uLOyeXRBYwAuDmCHDTcoCo5A0s9K81ISTpehY02jWNE5TM/7hlGM1o9M4ZU79TLuZjhfGS+Uta5zUVFSgyyiCDYGZNwhwBZe90e7+5hHCwgMcZXef55zP6zX8gXse9nw8C8/7PJfzPCkBAAAAAAAAAAAAAAAAAAAAAAB5qqtkoVKpNGPGjMEfJqLOzs7Nmzd3dHT09vY2NjYecMABY8eOraur6OfC27Z169a2traurq6UUmNj49ixY0ePHp33UDWuv7+/ra1ty5YtXV1dw4YNK5VKra2tTU1Nec9Vm1avXt3R0bHPxYZX8r1mzpy5fPnygZgKgEE3b968FStW7HOx+sGfBIAiEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoIbnPQCpp6fn4YcfXr9+/THHHDNlypS8x4li3bp1119/fXt7+xFHHNHc3Jz3OFFs2rRp1apVRxxxxAUXXNDS0pL3OFRg7ty5/QyC1atXz5kzp66ubtdLPWbMmCuuuCLvuWrcJZdcMmzYsFz/SZFpbGy855578v7rUJvmzp1byY/ALqDcLFmyZNasWU8++WR/f/+uL7766qtf//rXjzvuuFxHq2Xz5s279NJLe3t78x6E1NXVdfLJJ1944YV5DxKXAOTjmWeeOfPMM/v6+so++tBDD5177rlDPlTtO++881asWJH3FPyPq6666t577817iqDe2PmwF3Pnzl2+fPngDxPInDlznnrqqb0sUFdX9+KLLx588MFDOFTtq6+v/+/tLQqisbGxs7Mz7ylqyrx58yp5r2MLIAc9PT0rV67c+zL9/f2XXXbZUE0UwmWXXWbtX0xdXV3t7e15TxGRAOTg4YcfrmRNtGzZsiEZJ4pbb7017xHYo6uvvjrvESKqKADeNw2sdevWVbLYpk2bBn+WQF555ZW8R2CP1q5dm/cINaXClXZFAZg+ffp+z8MbmpqaKlls5MiRgz9LIBMmTMh7BPZo5syZeY9QUypcaVcUgFNOOWW/54GcvfOd78x7BPZo3LhxeY9QUypcae87ADNnzly0aNFAjAR5amhoyHsEGCKLFi2qZKNqHwFobW1dsmSJfzkAVaShoWHJkiWtra1vPwALFixYunTp7NmzB3o2AAbX7Nmzly5dumDBgrd2MbhTTz316KOPPuGEE+bPnz+Y40ERjR49etKkSXlPUTvWrVvX3d2d9xRBTZs27ZFHHnn88cfvv//+ZcuW3XXXXfsOwJ133jlU40HhnHbaaTfccEPeU9SOWbNmrVq1Ku8pQpv/uh3XF9jtIR8EAwhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoMrcE7ha9fam7dtTXV0aOTLvUQCqQDUHoKMj1denzs705JPpr39NGzakV19NI0akMWPSoYemo49O06alrq5UKqXh1fy/CTA4qnDN2NuburvTmjXpuuvSHXekf/5zj0sOG5be97501lnpM59JDQ1p1KghnROg2KrqGEBvb/aO/te/zt7dv/vd6cor97b237H80qXpy19OEyem889P69al9vahmxag2KonANu2pSeeSEcemU4/PT399Fv7s7296eab09SpWQZefTXbawQQXjUEoL8/e+d+/vlpwYL097/v1/e56aZ0+OHp7ruznADEVvgA9PSkf/0rzZ+fbrxxYL5hW1v69KfTd76THUMGCKzYAejtTS+9lObMecv7fPbp8svT5z+vAUBkBQ5Af3/asiUde2y2BTAYlixJF19sXxAQVoED0NmZTjhhH+f57Kcrr8wODjsmDIRU1AB0dKTvfS/95S+D/kQXXpidFwQQT1EDsGFD+ta3huKJOjrS4sV2BAEBFTIAr72WvvKV7MI+Q+MPf0h/+lN2yAGIbPv2/d0hvH176uvLflWJQgZgw4Z0771D+owXXeSMIAitoyMtWpTtdn7bDdi+Pa1fnxYuTC+/nJ2/Xg2KF4DXXkvf/OZQvx9//PG0du2QPiNQHB0d6ZRT0l13ZSeevL0G9PamjRuzTywtXZre9a70zDPZdWsKr3gBaGhId96Zw/Nee60jARBOf3/2pvPDH04PPPDGyYd//vNba0Bvb9q8OX3gA9nnllLa+fulS4u/X6F4AXjggXxWxLfdll09FIi29j/uuGwfwC6dnekjH3kLDejry64vcPTR6bnn3vjitm3pYx9Lt99e8AtQFiwA27alX/0qn6fesCG98EI+Tw3koqcn2/T/8593/3rlDdix9n//+/9n7b/Dv/+dfvGLgt+MpGAB6O1NK1bk9uz//S4AqHkjR6YLLsjOOXyzzs5sv9Djj++tATs2ID74wfIXqVywIDuo0NiYCqxgAWhqGvjL/lSuGvbZAQOpuTlddln60pfKPNTdnU48MT32WPkG9PenrVvTMcekVavKPPqBD6T77su+ebEVLACdnXmePvXyy0P34QOgIJqb0xVXpC9+scxDPT3ppJPKN6C9PdtEWLmyzJ96//vT736XWlpS4RUsAPkeMHnlFR8Hg4iamrJrz5x77h4b8Oij/3NySnt7drLQn/5UZvn3vKda1v7FC0C+Z85u25bq6vIcAMhLU1P60Y+yC8O8WU9POvnkbDtgRwO2bcv+c9myMksedVR68MEquv14wQIwcmSez14q2QKAuEqldM012Q2j3qynJ/uk2LJlO3/zxz+WWea9700PPVRFa/+UUsFOUcr3mMno0bYAILRSKV13XXY64u237/5Qd3e2L+jII8ufqXjUUdlVxapkz09RtwBaWvI8a+rww3PeBAFy19SUrr8+ffKTZR7q7i6/9p8zJ/sE66hRVfcOsmAB6OxMU6fm9uxHHlnwk3aBoVAqZTchP/XUihaePj3b71+d+w8KFoD6+uwMqrwcf3xuTw0USqmUbrkl292/d9OnZ58fGjOmGtf+xQtAc/O+X/FBMnZsmjw5n6cGCqhUyu4cfsIJe1xgxozs1KCqXfsXLwApZS93qZTD855+erVcwhsYCv392dHgvdwytr09u3ZAb2+qWsULQG9v+tSncnjeL32p6o7gA4Olv3/nZ333cnWy55/PTv186aXsum/VqXgBGDUqXXrpUG9SzZ+fjjhiSJ8RKPja//jj0/Ll+1hy/fr0vvdlDajOq8gULwAppYkTsx0yQ+nKK/PZ7wQUdu2/orIrE69fn90MoDobUMgAtLSk//u/odshc8YZafbs6j2MAwyY/v9c47Ps2n/cuPI7qDdsyE5frJ5bARc7ADtOB7rmmqF4okMOyZ6o8FdtBYZo7b9wYXryyTKPjh+f3R7g5pvT5z5X5tGXX872Ba1fX13bAUUNQFNT9km8z39+cJ9lxIjsjg12/gD9/1n7P/VUmUcnTszW/lOmZCuNH/4wnXNOmWXWr0/z5mU3Fqye7YD6Qp+E+8MfZvfVHCT19dkHPaZPz25DD0TW35+2bMn2/Oxl7T95crb237FquvrqdOaZZZb817+yM0qqpwEFDsCO7YA77sjOxBpww4Zll3z66Ee9/Yfo+vp2rv3L3t3lwAPTE0+kSZN2rv13KJXST3+aPvOZPTbg+eerogHFDsCOF/rOO9NnPzvA3/Puu7ODOXb9Q3B9fTuP+pa9Ge1BB2WXgN5t7b9DU1P62c/SJz5R5k9t3JjtC3r22eI3oPAB2LG+/slP0o9/XOZn8DbMmJH9pI891tofouvryz7oO39++bX/5MnZPb8OOWSPe4lLpXTTTdl9g9+srS2LynPPZRcQLbBqCMCOk4LOPjutWZOOO+7tf5PGxvTtb2c/0UMPzeoNBNfTk725/Nvfyjw0ZUr23v/AA9Pwvd40pVTK7hxQ9npBmzalj3+84IcYqyQAO17oQw/Ndt08/HD64Aff2p9tbk4XXpgdmfnqV7NVf331/F8Dg6exMX3lK+m883b/+pQp2VXexo/PDhbuU6mUfvOb9KEP7f71iRPTPfcUfC9Qwe4Itk/NzWnBguxlfe219Mtfpvvuy47P7OlOwgcfnO3qOeOM7FSivj77fIDdlUrp+9/PDgIvWbLzK4cdlq1VWlsrWvvv+iZ33ZVdyfjBB3d+5aCDsstElz14UCTVFoCUso/strRkv772tXTBBdlLv2lTdrxl8+bsp9jQkF2d9ZBDdp6x29NTjbfpAYZOqZR+/vPsUPBvf5umTctW3GPHvuX9BM3N2RvTE0/MdlHs2oAo9v6f6gzALg0N6YADst8cfHD2qyx3+AL2qVRKt96avvzl9L3vZe8g395e4lIp3XtvOv/89IMfZAmpfAMiP9UcAICB0tycndZZV7dfxwhbWrL7Ce/nNxlCAgDwugF5z14Nb/x3qY5MATDgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIIa/uYvTZs2bfLkyRMmTGhoaMhjpNq3bt26vEcAoti6deujjz762GOPVRSANa8bksEAGCzt7e0XX3zxtdde29XVVXaBMgEAoNpt3Ljx+OOPX7ly5V6WcQwAoAYtXrx472t/ASi0PW218fb09fUN4GJUyF/jXNx///2///3v97mYABTX5s2b8x6hpvzjH/8YwMUY2L/GHR0dgz9LILfddlsliwlAcXV3d+c9Qk3ZtGnTAC7GwP41duLJwFq9enUliwlAcdXX++kQhb/tA6vCLSovenEdeOCBeY9QUyZMmDCAi1GhkSNHVrLY1KlTB38WdicAxfXd73437xFqymGHHTaAi1Gh1tbWShZramoa/FnYnQAU1KhRo04//fS8p6gpdXV1A7gYFWpsbMx7BPZIAIqovr7e5SKAwSYAhTNx4sQtW7aMHz8+70GAGlfRpSBaW1tPOumkwR8mqPXr17/wwgvd3d1HHXXUVVddNWnSpLwnAkKoKADveMc7brjhhsEfBoChYxcQQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABDU8LwHiG7lypVnnXXW2rVrt2/fPmLEiLFjx7a0tOQ9VG168cUX8x4BikUA8jR16tS1a9fu+s+enp729vZcJwICEYDcjBkzZsuWLXlPAcRV0TGA/v7+wZ8kltNOO83aHxgkFa60KwpAW1vbfs/D/7j77rvzHoHytm/fnvcIsL8qXGlXFADvVQfWE088YaOqsP77qAxUqQpX2hUFoLOzc7/n4Q033nhj3iOwRxs3bsx7hJrS3d1dyWJWMgOrwtezogAMH+5Y8UBqbm7OewT2aNy4cXmPUFPGjx9fyWKHH3744M8SyPDKVtoVBaBUKu33PLxh+vTpeY/AHp1xxhl5j1BT5s2bt89l6urqFi5cOCTjRNHU1DRgAfCeaGANGzYs7xEor66u7qKLLsp7ipryjW98o75+H+uZOXPmjBgxYqgmCmF8ZRtetgDgDV/4whfyHqHWTJw48eyzz97LAvX19bfccssQThRC0wBuAUAEc+fOvfbaa/OeogZdd911xx57bNmH6uvrb7rpJjtF8yIAkO2Uu+SSS5YvX573IDXrwQcfvOKKK8aMGbPrK3V1dXPmzHn66acddMmR03uKa9KkSZdffnneU9Ssbdu2rVmzpqWl5ZxzznEKyhD42uuee+65Rx555KCDDlq4cKH9/rkTgOI64IADFi9enPcUMJCmvC7vKdjJLiCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAIKi6ShYqlUozZswY/GGieOWVV5599tl9LtbY2Dhr1qwhmSicrVu3trW1dXV17Xidx44dO3r06LyHqnH9/f1tbW1btmzp6uoaNmxYqVRqbW1tamrKe67atHr16o6OjrynAAAAAAAAAAAAAAAAAAAAAAAA0t79Pwcc0b8rc7cTAAAAAElFTkSuQmCC
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[0, 1], [0, 0], [1, 0], [1, 1], [2, 1], [2, 2], [1, 2], [1, 3], [2, 3], [3, 3], [3, 2], [3, 1]], "path_cell_ids": [5, 1, 2, 6, 7, 11, 10, 14, 15, 16, 12, 8], "start_cell": [0, 1], "end_cell": [3, 1], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 644399325}, "difficulty": {"difficulty": 0.9221635427799564, "H_turn": 1.5219280948873621, "H_turn_norm": 0.9602297178607612, "H_rate": 1.1111111111111112, "H_rate_norm": 0.8650642801587494, "turns": ["RIGHT_90", "RIGHT_90", "LEFT_90", "RIGHT_90", "RIGHT_90", "LEFT_90", "LEFT_90", "STRAIGHT", "LEFT_90", "STRAIGHT"], "turnCounts": {"RIGHT_90": 4, "LEFT_90": 4, "STRAIGHT": 2}, "steps": 11, "baseAngleUsed": 90}}
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[3, 3], [3, 2], [3, 1], [3, 0], [2, 0], [1, 0], [1, 1], [2, 1], [2, 2], [1, 2], [1, 3], [0, 3], [0, 2], [0, 1], [0, 0]], "path_cell_ids": [16, 12, 8, 4, 3, 2, 6, 7, 11, 10, 14, 13, 9, 5, 1], "start_cell": [3, 3], "end_cell": [0, 0], "maze_config": {"shape": "square", "width": 4, "height": 4, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 600585755}, "difficulty": {"difficulty": 0.9825475774886863, "H_turn": 1.5766212201074912, "H_turn_norm": 0.99473723787795, "H_rate": 1.3333333333333333, "H_rate_norm": 0.9642630869047908, "turns": ["STRAIGHT", "STRAIGHT", "LEFT_90", "STRAIGHT", "LEFT_90", "LEFT_90", "RIGHT_90", "RIGHT_90", "LEFT_90", "RIGHT_90", "RIGHT_90", "STRAIGHT", "STRAIGHT"], "turnCounts": {"STRAIGHT": 5, "LEFT_90": 4, "RIGHT_90": 4}, "steps": 14, "baseAngleUsed": 90}}
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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NDY2bu6rRxxxxJw5c4Z3opGvVN1GuxYPGgIjybRp05YsWbLrrru+6PdLpdJZZ51155135jQXHgYHDL1p06Y98sgjixcvXrBgwfLly1tbWw888MBLL710ypQpeY8WmgAAw+S4Z+U9Bc9zCAggKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICg6vMeANg+lj6x6YBP3Z1qXnffQEN9wd56dvb2r2nv7ejpL6XSxHL9ia+b8qmT92ws2n/FSwkAjBAdPf33PdqW9xQjX1tX3zV3rrrhrj9+9V37n7z/5FRkhS8YwPDr7hs49ab/88Nlz6QiEwCAV2JwMJ1+029SkRU4AE+2dec9AhBaW1ffP/18dSqsAgfgsQ1VBWBtR+/QzwIE9bVfP54Kq8AB6Ozpr2YxAQCGzpMbC3woosABGFPdNVgtY1zpROGNKpXyHoHKRo8q8Fa0wKNPaW2oZrFXtY4Z+llgaE0e69u4Rk0p8hamwAHYeXxj3iPAMDn/8F3zHoHKdh7flAqrwAEYZZ+YMC47bvc/m1TOewpG2oaowAGAUB649BANYPsSACiGljH1D3/08I+fuMerWhsK/a6T2uEKGSiSvzt29787dve8pwjhvkfbCvFwvW1hDwAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICg6vMeAGrLz3/+81mzZuU9xUjW3t6+yy67zJw585hjjsl7lugEAF7g4WflPcXIN3/+/LFjx86fP//ss8/Oe5a4HAIC8rFx48Z3v/vdc+fOzXuQuAQAyNO8efMWLVqU9xRBVRWAtra2oZ+EF+vq6sp7hBGlv78/7xGo7Nxzz817hJGmyo12VQFYt27dNs/D8zo6OqpZbM2aNUM/SyD33Xdf3iNQ2erVq9evX5/3FCNKlRvtqgLgrej2tXz58moW6+7uHvpZAnnyySfzHoHNuvvuu/MeYUSpcqPtHEAOSqVS3iNE5K+9lo0aZVuUg6r+0hsbG4d+kkD22GOPahZraGgY+lkC2XHHHfMegc066KCD8h5hRKlyo11VACZMmLDN8/C8pqamahabNGnS0M8SyAEHHJD3CFS28847jx8/Pu8pRpQqN9pVBaC1tXWb52Gr2fHavurq6vIegcoWLlyY9wgjTZUbbcfdgDzNmTNn5syZeU8RlEdBAPnwKIjcCQC8wG677XbooYfmPcVI5mFwtUMA4AUOPfTQL33pS3lPAcPBOQCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCqs97AGArXH37H6756aqnNnYPDOY9CsUnAFAMm3r69vv43Y+s6ch7EEYOh4CgGGz92e4KHAC7wMRx1eI/2PrXpoEib4gKHIDV6zvzHgGGybU/W5X3CFS2en1XKqwCB+DJtp5qFntiY1WLQS17yrdxrXqyrTsVVoED0NM3UM1im7p7h34WGFoDg0U+0DCi9fZXtSGqTQUOQNOYumoWm1geM/SzAEFNaW1IhVXgAOw0vrGaxSaWRw/9LEBQZ7zh1amwChyAKWO9tQfy1NpYP/vQnVNhFTgAADkqldJt5+yfikwAALZaQ/2ob57zxrfsvUMqMo+CgBGiPKZu71c1p5rX3TfQUF+wt56dPf1r2vs6evtL2WnF+hNfN+VTJ+/ZWLT/ipcSABghpr+q5Z4PHpz3FBRJ4QsGwCsjAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEFR93gOwWStXrpw+fXreU4wcjz32WN4jRLd48eIFCxYsX768VCrlPcsI9/DDD1ezmADUru7u7mXLluU9BWwHK1euPOqoo1atWpX3ILyAAABDa+XKlfvuu29XV1feg/CKzgEMDg5WsxjASx155JG2/gUOwLp164Z+EqgJvb29eY8woixevPjRRx/Newq2IQAbNmyoZjGqtHbt2rxHYLNWrlyZ9wgjysKFC/MegW0LQGdnZ6o97T391SzW1VvVYsNp6dKleY/AZj399NOpmLr7BlLtWb58ed4jsG0BqK+vxXPFzWPqqlmscXRViw2nadOm5T0CmzVx4sRUTA31tXhbT2tra94jsFlVfceUy+VqFqNK73vf+/Iegc0644wz8h5hRJkxY0beI7BtASjue6La1NLS0tjYmPcUVFAqlT70oQ/lPcWIcvnll48aVYu7JtgDyM03vvGNvEeggtmzZ+c9wkgzefLkWbNm5T0FlSlzPo4//viLLroo7yl4gQMOOOCGG27Ie4oR6JZbbjniiCPynoIKBCA38+fPX7RokWNBtaCuru7KK6+855578h5kxLrzzjs/85nPjB8/Pu9BeIFavLwnjuOPP76zs3PTpk0LFixYsWLF9OnTd9hhh7yHiqK9vX3FihUtLS1nnXXW7rvvnvc4I9+cZ61atequu+7ycIGhdsUVV1TzPDgByF9LS8sll1yS9xQwHHZ9Vt5TjHzz58+vJgAOAQEEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFD1aaRb9kR7KoKu3v7G0XWpaNZ29D7T3juuoX5K65i8ZwG2zsgPwKwv/jbvEQBqkUNAAEEJAEBQBQ5A38Bg3iNADeno6c97BAqmwAF4ZE1n3iNADVnb3pv3CBRMgQOwZlNP3iNADenotQdAmAAMlvKeAKDIChyAP5vQlPcIUEMmNrsVgzABOPdNu+Q9AtSQE/fbMe8RKJgCB+C46TvsMtFOAGQa6kd98qQ9856CgilwAFJKd7x/RuPoYv8nwLYrldJX37V/eYyfBbZOsb9jpk0qL7nssF3tBxBYa2P94vMOOHn/yXkPQvEU/llA0yaVH/nYEYuXPrPgrkdXPXtnwA4tY3aZ0DS6rmAXCbX39DePKdjD4J7a2L16fXdnb39D/agpYxt2Gt84qmB/68UzMJgeW9/55Maenv6BKWMbznzjq2cfunPeQ1FUhQ/Ac46bvsNx03fIewqAIin2ISAAXjEBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoErVLFQul/fee++hHyaizs7ONWvWdHR09Pf3NzY2jhs3bsKECaVSVf9feMXa2trWrVvX1dWVUmpsbJwwYUJra2veQ41wg4OD69at27BhQ1dXV11dXblcnjRpUlNTU95zjUzLli3r6OjIewoAAAAAAAAAAAAAAAAAAAAAACBt2f8FRDrUuebbVwAAAAAASUVORK5CYII=
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VBo3blxdxomiOd9+TK4ADBs2bKvn4T0DBw78xCc+sfFlSqXS+eefX6+JQhgxYkQVFyOnCy+8sF+/TWxnxowZM3DgwHpNFML2+V54eQVQjDvuuGPj/ypOPPHEHXfcsY4TQU3ssMMOU6dO3cgC/fr1u/322+s4UQjNVXwFQNWNHDly9uzZvTXgoIMOmjlzZt2HgpqYOXPmQQcdVPFb/fr1mz179siRI+s+FOt+/34NRZkyZcr8+fPHjBnz/vMBQ4cOvfLKK+fMmVPoaFBlc+bMufLKK4cOHfruV0ql0pgxY+bPnz9lypRCRwvN23uKNHLkyGeffXb16tVz58597bXXDjzwwJ133rnooaAmzl7nlVdeeeSRRz784Q+PGzfOcf/CCUDxBg4cOH78+KKngHrYeZ2ip+BtDgEBBCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQ7gnMFlm9OnV0pP7904ABadCg1NWVfWXNmtTUlMrloocDchEAcuvpSStWZJv4OXPSww+nJ59Mf/97+u9/sz+trWno0DRiRPr0p9OBB6YjjsjC0NycLQw0Kv8+yaGrK3V3Zxv9669P99+f7ex/wMqV2Z/Fi9O8eemGG1KplPbbL3396+m447L/Hjy4mLGBjXIOgI3q6Unt7enOO9Pee6cJE9Ldd1fY+lf8qcceS9OmpZ13Ttdckz1Cd3c9pgU2hwDQu7a29OKL6eCDsx35F17Ykkd4/fV03nlp1Kg0d272aEAjEQB60d6ebrop23bPm7e1D/XKK+nQQ9OZZ2oANBQBoJL29mx7/Z3vVPPQzc9/niZOTG++mR0gAhqAALCB9vY0fXq2+191c+akQw7JHh9oAALA+tra0qWXpltvrdXjP/VU+spXNAAagQDwPl1d2dnayy+v7VruuSddfbXzAVA4AeB9OjvTSSfVY0WXXJL+8x8nA6BYAsA7Vq5M556bXnutHutavTodf3x2MQmgOALAOzo708031291jz+enQ/wIgCKIwCss3JluuiiXJ/yraLzznMmAAokAKzT1JRmzqz3Sh99NC1ZUu+VAu8QANZ58MFidsZvvjk79AQUQQBI2adzb7mlmFXfcUd2FwGgCALAuuM/f/pTMateuNB5YCiKAJCyC/4sXlzY2ufPL2zVEJsAkLIbexXoqaeKXDsEJgCkgt+K89prae3aIgeAqASAlN54o8i1L11a788fAOsIAKngHfC1a50HhkIIAClts02Ra29tTQMGFDkARCUApLTjjkWu/SMfSf37FzkARCUApLTLLkWufcyYVCoVOQBEJQCkNGRI2nbbwtY+alRhq4bYBICUXZf/gAOKWfWIEVl+gCIIAOtOw37xi8Ws+ogjXAsIiiIApOwc7LHHZlcEqr/p07P8AEUQAN5xzDH1XuMee6TRo+u9UuAdAsA622yTLr203u/GufjiYl52AOsIAO8YMSKdeGL9VvepT6VJk3wEDAokALyjtTVdc00aPrwe62pqSrfempqb67EuoBcCwPs0N6c776zHgaArrsg+febzX1AoAeB9Bg5MY8emyy6r7VomT06nnZZaWmq7FmBTBID1tbSkb30rnXlmrR7/kEPSrFmpXK7V4wO5CQAbKJfTD36Qzjuv+o88YUK66y5bf2gQAkAl5XK64IJ0003ZQaFqOfPM9OtfO/IDjUMA6EVLSzruuPT002nPPbf2oXbYId1zT/Y5A/v+0EgEgN6Vy2nkyPTkk+nqq9OwYVvyCIMGZWcUXnwxjR9v3x8ajQCwUf36Ze8NPfXU9Oqr6brr0ic/mfcHd945O4j0739npxO22aaah5KAKvFBfHJ46xNbp5ySfVR4xYr0wAPpoYfSwoXp5ZfTypWprS3b099mm/Sxj6XddksHHphd43OnnbK3+Q8eXPToQK8EgNyamrJPC7e2pqlT01FHZTdzHzgw++KAAdklnbu60qpV2Ua/tTV73QA0PAGgGveR798/+2N/H/6n2FMDCEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIJqyrPQggUL9tlnn9oPE90ee+wxadKkyZMnNzXl+nuhFu69917P9lro6elZtmzZ8uXLOzs7+/fvXy6Xhw8f3tzcXPRcfdNzzz1X9AhskVGjRv31r3/todpOOOGEov9uobE4BNRwFixYcPDBBy9atKjoQYA+TgAa0RtvvHHyyScXPQXQxwlAg3r00Ucff/zxoqfoU7q6uooeARqLADSuBx98sOgR+pTXX3+96BGgsQhA43riiSeKHqFP+ec//1n0CAAAAAAAAAAAAJCq6P8BDulf54Bmz1EAAAAASUVORK5CYII=
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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{"path_coordinates": [[0, 0], [1, 0], [1, 1], [1, 2], [2, 2], [2, 1], [2, 0]], "path_cell_ids": [1, 2, 5, 8, 9, 6, 3], "start_cell": [0, 0], "end_cell": [2, 0], "maze_config": {"shape": "square", "width": 3, "height": 3, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 687497651}, "difficulty": {"difficulty": 0.7761378307164566, "H_turn": 1.5219280948873621, "H_turn_norm": 0.9602297178607612, "H_rate": 0.5, "H_rate_norm": 0.5, "turns": ["RIGHT_90", "STRAIGHT", "LEFT_90", "LEFT_90", "STRAIGHT"], "turnCounts": {"RIGHT_90": 1, "STRAIGHT": 2, "LEFT_90": 2}, "steps": 6, "baseAngleUsed": 90}}
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAV/UlEQVR4nO3dfZBdZX3A8edmQ5K9dwlsIhm17SBBRwjh5Q8yWBQda2o0oCNWhlpYQBoRlFclrTNFgZZiGUCFGY3CCKhpBDVtpaQzBUttwaISB4KEoCEjOEgZINkkZO/eTbLZztNljJC7yYV9OWfv7/OZ/AHZkz2/2cD53vucl5sSAAAAAAAAAAAA46NWqw0xdi6//PKi/0qhXKYUPQAjqlarRY/QVt72trcVPQKUiwCUV61WK3qEtnL88cd3dnYWPQWUiACUl3cAY2vmzJlLliwpegooEQEgkKuvvnr+/PlFTwFlIQAE0tXVde+99773ve8tehAohcqev3XIIYfMmjWriGGi2LRp069//et9bjZv3ry1a9dOyETh/PCHP/ze9773+OOP9/X1FT1Lm1u7dm2j0djnZg47Y2vdunX1ev21BGBoaGiMZ+Hlli9f3tPTs8/NBIA2cMQRRzz22GP73Ozb3/726aefPiEThbBgwYLVq1fvczNLQABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQ1NU1eQ0Np69Y0fXrq709PPpk2bsy/pk1Ls2enOXPS3LlpYCB1dKRqtehBAcpocgbgxRfzkf3f/i394z+mn/wkPftsk206OtJb35oWLkwf+1g67LBUqeRUADBZA7BtW3rhhfS5z6Xvfjdt3763LQcH02OP5V833pj+8A/TX/1V+su/zBno7Jy4aQFKbPKcA+jvz4f+M8/MazvLl+/j6P8KTz+dLrww/dEfpW98I9XradeucZwTYJKYJAGo19Mtt6RDDkn/9E956f+12bQpXXBBesc70vr1OScAsZU+AEND+ejf05POPz+v/4zeQw+lY45J//7vY/PdACat0gdg69b0znfmF/5jqNFIH/5w+trXUl/fWH5bgEml3AHo60uLF6ef/3zsv/PQUFq6NN1+uwYAYZU4APV6Ouus9D//M467OPfcvCK0Y8c47gKgrMoagIGBdOed6fvfH9+97NyZTjkl7wsgnrIGoL8/ffKTE7GjZ59NF1/shDAQUCkDsG1bvm+rt3eCdnfLLel//3eC9jXpNBp5LW6U+vtf3X0bQNwADAykb35z4nY3NJQ++9n8eAleodFIa9fmU+WjeYdUr6ebbsrfZ/QhAdr8URB9femqqyb6BeO//EvasiXtv/+E7rTkGo306KPp3e/OfyPbt+dbMWq1V/1N+vrSbbflRbbp09Mdd6T3vCd1dY3LtEA7vAPo6EgrVkz0TnftSjffnA95DKvX089+lu/A2LYtv0M677z8Kv7VXjLb15ef1nf++fmfBwbSySfnR3G47hZKo3wBeOSR9NxzBez3O9/xjKCX1Ovppz9Nixa97IEZn/70q2tAX1/653/OF9r+ztBQfivw+c9bC4KSKFkAGo284lyI9evT5s3F7Lpstm5N739/k/dDn/50Xs9ppQF9fekHP0hnnNHkwU1f/nJ6+GH3XkAZlCwAAwN55aEoDz5Y2K5LZebMdOutaUqz/zbOPz99/ev7aEBfX/rP/2x+9K9U8irQ0Uen/fYb04mBNghAtZrWrCls7//9324Ky6rV9IEPpG99Kx+v9/SZz+ztMUr9/em++/Jy/+DgK79UqeQTLR/5yGs5mQy0fwAGBoq8J+uppwTgJV1d6UMfyhfjNm3ApZemZcuaNKBez++iPvShfIv1K1Qq+a3Dqae6CgjKo2QBKPYSkd5e54F3q9XyM1OXLWv+1aVL01e+8rJaNxr5wUqLFjWP6Je+lD76UUd/KBUB+D1btxa59xKq1fLl/1/9avOv/vVf725Ao5FP7f7pnza/lPZLX0pLljj6Q9mULADFnhv0qfF7qlbz6dzrrmv+1c9+Nl8bumNH/uzlhQubf87ajTemj3/cuj+UUMnuBK5Wi9y7l6hN1Wr5RrCdO/Phfk+f+Uz61a/yvXtN371df3362Mcc/aGcShaAAw5IU6c2OYU4MQ4+2OWJzVWr+eOUd+xIn/tck69+/evN/9Q//EM65xxZhdIq2RJQo5GPwkU5/PCC34KUWbWabwS78spWt7/66vSpTzn6Q5mVLAC7dqUFCwrb+7vf3fyqR4ZVq3nBp+mbgFe46qp00UWO/lByJQvA/vvn6wgLMWNGfgfA3tVq+UzA0qV72+aKK/Izf7yXgtIrWQAqlXwTaUdHAbtevNjTQFtSqeRIN31QRD6pNDVfDFrI3yAwuQMwfHxZuLCA/X7iE/kZOLTymOiTThrxjrmdO9Of/En6yU+aXxIKlEn5ArD//nkNYYK95S3phBMmeqeT9Oi/aNE+3ioNDKT3vU8DoPzKF4BKJR11VPrjP57QnV51lQtA96G/P39IwPve19LjkoYb8MADGgBlVr4ApJQ6O/Nz5ydsHXnBgvzwy6kluyWiVPr786NSR3rOz9FHN7l6avv2dOKJ+X2AjwCDsiplACqV9Ad/kB81MwGq1fTd7+ZLgBhJvZ6f7/+BDzT/FJcPfzj9/OfNnxnXaOQPlvnZz3wEGJTTlPJebvg3f5Pe8Y5x39E3vpHmzHH5/4jq9fRf/5Wf8Nz06H/KKWn58vxebaRnxg2vBd1/vwZACZU1AMOvze+6K731reO4i89/Pr+wdcX6SPr60r33pg9+sPnR/9RT8weHdXbufmbcjTc22Wz79vxDvu8+DYCyKXEAhq8Iuu++NHfuuHzzT30qrzJ5Ttnej/4nn9z80Ux//ufpllte9tOr1dLZZ+cnQOxJA6CUyh2AKVPS7Nlp9ep0zDFj/J3/7u/SNdd47T+iej39x3/k9f2mR//TTstLZ3v+9Gq1/ASIv/3bJn9kx458TvieezQAyqPcARhuwIEH5kXkM88cm284c2ZatSpdconX/iOq1/OR+s/+rPnRf8mS/NG+I7Vz+JlxTZ8XNDiYv+fdd2sAlETpAzB8UVCtlj986l//Nb3xjaP6VieemNavz7eqOvqPZGgofzTmRz7S/Oj/yU+mG254ad1/JLVaXltr+rygwcF83njNmuYnFYCJNRkCMKxWy9eh/+pXeenmoINe9R8//vi8Bn3HHfmaHxd97kWlkrq782v8PV1wQbr22pbWzWq1lx4Jt6cPfjDfN+C2OyiByROA4Q+MrNXShRem3/wmvxs4+eT8ATJ795a35CcY//KXeeXh7W/3wr8l1Wp+nf7FL77sN88/P3/AS+tnTarVfH/1BRe87Df/4i/yZaNOvUA5TMLbX4dfv594YnrnO/M/P/10/kDaNWvS5s35U907OvIq/8EHpyOPTPPnp2nT8kvavS9ZsKdaLX+Q78aN6e//Pv/r0qX5Ff2rPXDXaukLX8hLScO3iX3iEzkq/i6gNCZhAIZVKi89vHPu3PzrpJPyPUeDg/mk8dSpnuswBrq68qP/e3vzz/myy17jy/ZaLX+gfH9//iZf+ILX/lAqbXSgnD696AnaTldXXvQfGhrV0lm1mm8SHhpy9IeyaaMAMB7G5Kht2QdKaVKdBAZg7AgAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAENXXP37r77ruPOeaYOXPmFDEPu23evHn58uVFT9G2tm3b9sQTT3R1dZ1xxhlz584tehwoRwAWLVqUUjryyCMvvfTSnp6eSqVSxGCkZ555pqenp+gp2t+VV17Z0dFx2WWXXXHFFUXPAuVYAvrFL35x5plnnnLKKdu3b5/YkWCiDQ4OXnnllQsWLCh6ECjTOYCVK1defPHFEzUMFGn16tXnnHNO0VNAmU4CL1u27KGHHpqQYaBgN998c9EjtJudO3cWPUJE/f39Y3YV0IoVK0Y9D7sNDg4WPQIjuuaaa4oeoa288MILrWzmf4pCfuwtBcA7gLH1+OOPFz0CI7rjjjuKHiHiS1H/U5T3HcBzzz036nnYbdu2bUWPwIg2bdpU9AhtpcWX9n7shay8tRSA6dOnj3oedjv99NOLHoERHXTQQUWP0FZaPHocccQR4z9LIJ2dna1s5k7gAhx33HHuriitQw89tOgR2kp3d3crm82aNWv8ZwnkgAMOaGUzASjGSSedVPQINLfffvsVPUJb6erqKnqEiLpb664AFOPOO+9sMdEAr1aLawwCUJjNmzdbbQDK9SwgJswTTzzx6KOPnnbaaRs2bNixY8e0adO6u7u9ZR4nzzzzzJYtW4qeAkpEAAo2f/78NWvWFD1FCD09PZ6uCr/PEhBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAEJQAAAQlAABBCQBAUAIAENTUogcg3XPPPatWrXr++eePO+64s846a+bMmUVPBIQgAEW69dZbL7roohdffHH4X1esWHHJJZcsXrx45cqV06ZNK3o6oM1ZAirMpZdeevbZZ//u6D9s165dd91118EHH1yv14sbDQhBAIqxatWq66+/fqSvPvvsswsXLpzYiYBwWgrA1q1bx3+SWM4999y9b/DAAw888sgjEzVOCLt27RrDzWhRo9EoeoSItrZ20G4pAL29vaOeh902b9789NNP73Oza6+9dkLGieLJJ58cw81o0caNG1vZzJrn2GrxoN1SADR8bP34xz9uZbN169aN/yyBvPDCC2O4GS0aGBhoZbP169eP/yyBNFo7aDsHUN449/f3j/8sUApTpjgWFaClH/qMGTPGfxIYXwcddNAYbkaLpk+f3spmb37zm8d/lkBmtHbQbikA3d3do54HCvamN71pDDejRbNnz25ls87OzvGfJZDu1g7aLQXAvam0gUqlMoab0SLrB4Vo8aBt3Q0gKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACGpq0QMwog0bNsybN6/oKdrHb3/726JHgHIRgPIaGBhYt25d0VMAbcsSEEBQLQVgaGho/CcBYGy0eNBuKQC9vb2jngcmhx07dhQ9AoxWiwftlgKwZcuWUc/Dbps2bSp6BEa0YcOGokeA0WrxoN1SAPr7+0c9D7s99thjRY/AiJ5//vmiR2grAwMDrWzmIDO2Wvx5thSAqVNdLDSWDj300KJHYESzZs0qeoS28rrXva6VzebOnTv+swQytbWDdksBqFaro56H3c4777yiR2BEp556atEjtJUFCxbsc5tKpXLCCSdMyDhRdHZ2trJZpZWN5s2bt3bt2lGPxG6dnZ2NRqPoKXilSqWya9euoqdoK88999wb3vCGvf9Ujz766IcffngCh2p/8+fPb+Wg7R1AMVauXFn0CDSxZMmSokdoN3PmzOnp6dnLBlOmTLn99tsncKIQOlt7B+BGsGIsXrz4wgsvLHoKXubYY4+96aabip6iDd12223vete7mn5pypQpK1asOOywwyZ8KP7/5+/HUJQbbrhh1apVM2bMKHoQUkdHx+WXX/7ggw8WPUjb+tGPfnTdddcdeOCBv/udSqVy1FFHrV271kmXArV0DuDYY4/1/8b42bZt27Jly9avXz9v3rwWL5lg9Pr6+tavX9/V1XXGGWe4BGXCPPXUU/fff//rX//6E044Ydq0aUWP07YWLFiwevXqfW7m+s7idXV1LV26tOgpYCIc/P+KnoKXWAICCEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIKqtLJRtVo9/PDDx3+YiPr7+zdu3Fiv1wcHB2fMmHHAAQd0d3dXKi39vfCabd26tbe3t9FopJRmzJjR3d09c+bMoodqc0NDQ729vVu2bGk0Gh0dHdVqdfbs2Z2dnUXP1Z7WrVtXr9eLngIAAAAAAAAAAAAAAAAAAAAAAEh7939YwfIc1TqCggAAAABJRU5ErkJggg==
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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JQAAQQkAQFACABDUwPf+aMKECaNHjx4xYsSgQYPyGFI469atW7NmTVtb24gRI8aPH+9p7yWLFi0qcbPZs2f3/nDiamlpGTNmzKxZs84+++y8xxLCli1bFi1a9Oyzz+Y9EID/GDp06D333NNNr9m6desXv/jFmpqavF9qgGLmzp3bezNgZI2NjZMnT8775QXYq8ceeyzv2bIfOuecc/b5zFf1yesLsEdHH3306tWr8x5Fv/KnP/2plF0sjgICcrZmzZrNmzfnPYp+5cEHHyxlMwEA8rd48eK8h9CvrFixopTNBADI34AB5qKe1NraWspmnnQgfzNmzMh7CBEJAJCzo48+evjw4XmPIiIBAHJ211135T2EoAQAyNPcuXNnzZqV9yiCKnIuIIA+MHTo0DvuuOOKK67IeyBxlRSAhoaG8847r/cHE5STwfW9d95554UXXmhsbKyqqhoxYsS0adOqq6vzHlQUTgZXYQH4wAc+MG/evN4fDAB9xz4AgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACCogXkPILr169ffcsstS5Ys2bBhw+DBg/MeThQdHR0bN27s6OhIKQ0ePLihocGT3wdaWlqampo6Ojqqq6tra2sbGhoGDjQF9Yo33nijlM08+3n6whe+MG/evO7u7rwHElp7e3tzc3Peowinra1t06ZNeY8iOgHIzRlnnLFgwYK8RwHEVdI+AG9Re9x3v/tdsz+Qr6pSNho3btyqVat6fzCB1NfXb968Oe9RAKGV9AnACmnPWr16tdkfqIwAtLW19f5IAnnmmWfyHgJAaQFwqFbPGjlyZN5DAChtH8CoUaPWrl3b+4OJorOzs6amxq51oAI+ARx22GG9P5JADjnkkClTpuQ9CiC6kgJQKBR6fySxzJ8/f8AA5+EA8mQOysfEiRPvu+8+DQByZALKzcUXX/zKK69MnTq1qqqkPTEAPcvhPXmaOHHi3/72t87OzoULF65atcpSW1/atm3bypUrU0rHHntsXV1d3sOJYsOGDa+++mpDQ8MHP/hBhxf2nptuuqmU88GV9N5z2rRpS5cu7YlRAdDrpk+fvmzZsn1uZgkIICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAhKAACCEgCAoAQAICgBAAiqqpSNCoXCpEmTen8wEbW1tW3cuLG1tbWrq6umpmbYsGH19fVVVSW9LhywLVu2NDU1tbe3p5Rqamrq6+sPPfTQvAfVz3V3dzc1NTU3N7e3t1dXVxcKhYaGhtra2rzH1T+tWLGitbU171EAAAAAAAAAAAAAAAAAAAAAAABp7/4PcX0QNSkpVEkAAAAASUVORK5CYII=
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAXuklEQVR4nO3de5SV9Xno8d8MwzDMCDMwKlCjxuCtJCT1WllxhRVtapMw5NKYaqOWUqseBBTXSaL2tH/0rGNcXU0qGq0GDYiRao2JitTL8hJviJd4Tk6iURCVqhVaB4ZhZs84M8zu2oV1coIDyDh73tnv8/ks/mDNvrwPiz2/797vfvd+UwIAAAAAAAAAAAAAACpFVdYDMNK1tbU1NjZmPQX7bOvWrU1NTVlPwYgmAOxJXV1dV1dX1lMwSGPHju3u7s56Ckau6qwHYET75Cc/mfUIDN706dOzHoERTQDYk5aWlqxHYPBmz56d9QiMaHYBsVvjxo1bu3bt5MmTsx6EQdq4ceORRx65bdu2rAdhhPIKgN264oorrP4VbfLkyVdccUXWUwCVZv78+UVyYf78+Vk/moAKUV9fv3jx4qxXLYbS4sWL6+vrs35kMeJ4D4Cdamtrp02b1tLSMm/ePHt+8mfjxo3XXXfdypUrX3rppZ6enqzHoWIDsH79+gkTJpRhGDLT09PT3NxcU1OT9SCUXV9fX2tra21tbdaDMJS2bNkyderUfb3VYH7hm5qaBAAqVE1NzaRJk7KegiFWLBYHcStHAQEEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAAAEJQAAQQkAQFACABCUAJBfvb0f9h6KxfTee0MzDIw8AkBOFQpp1arU2fmh7qSzMz35ZOroGLKpYCQRAPKoUEh//dfpK19JixYNvgEdHenUU9PnPpeuuUYDyCUBIHcKhXTZZel73yv9fcmSQTagszN98Yvp2WdLe4Euvzz9zd+U7hbyRQDIl0IhLViQrr76Nz9ZsiRdfPG+NaBQSC0t6fHHf/OTf/iHdPbZH3aHEowwNVkPAEPnvffSwoXphz/c9ec33piqqtJVV6X6+r3fSaFQ2nf06KO7/vwnP0l1demWW1K1p03khIcyOVIspvPPH3iVX7IkXXTR3nfjFArpjDPSgw8OcNHBB6fvfjf19w/RrJA9ASBH6urSJz5R2nXT0DDApTfeWHp90NW125sXCukv/iKtXDnARR/5SHrmmbT//qnGi2byQwDIl7Fj08c/XnoKX1c3wKU33ZT+8i8HbkChkM47L9122wAXTZqUnnoqHXCA1Z+cEQByp64uHXtseuihgRtw663p3HN33RfU2ZkuuaR00ftNmlR67j9litWf/BEA8qiuLh1zTHrggTRmzACXrlhReh3w/xpQKKRvfzvdcMMA1zzwwPT006XVf/ToMk8MGRAAcqq+Pp1wQrrnnoHX7hUr0rx5paW/UEh/9Vfp2msHuM6BB6Y1a9JBB6Xa2mGYF4afV7Xk19ix6eST0113pS99KfX17XrpzTeXjhqaMqV0eOj7HXBA6bm/1Z9cqxrEbVpbWydOnFiGYaAMurpKB/UP2IDdmTChtPofdpjVn0qxefPm5ubmfb2VXUDk3dixaebM0se4PuC7uE1NafVqqz8RCAABNDSkU04pHeSz1w/xNjaWVv+PfczqTwQCQAwNDWnWrL00oLGxdLy/1Z8wBIAw6uuLp389zZix2yucd17XRz828JGjkEcCQBRdWzv6zz239Bx/d/7+76tvvvk/Nm4e1rEgOwJACH0dnWMWXjhq2dI9XalYHDN/3vg7b+9q2zZ8k0F2BIAAOjtHzftv1cuX7/2axeKYBRfW3PojX/1PBAJA3hUK6dxzq265ZYCLRo0a4PuCisXRCy4sLl+uAeSeAJBrhUKaO3fg7/gcNaprxe2Fe+8f4F3fYrFq3rzSR4U1gFwTAPKrUEhz5qTbbx/gopqawu0/fu6o339o3EcLd9878HGfF16Yli7VAHJMAMipQiGdc066444BLho9unDnXc8dfvxpy1766o9efqjp8MK99w189OeCBaXvievoGIZ5YfgJAHlUKJTO4X7nnQNcVFtbuPOuZw751GlLX+ru7d/eX/zaileebD6i8M93DvxdEd/+tgaQVwJA7hQK6ayzSl/+8361tYWf3P345I+ftvTF9/p2nt23d3ux5eZfrzl4etcdu2nApZem739fA8gfASBfCoX0jW+kn/50gIvGjOm8+95HDvzd2T96uXd78f+/pGd7/+eXvfzMR4/puv2O0qFB73fZZemaa/Z+TnmoKAJAjvT2ls7qftddA1w0dmznvzz4YNMRX7ll19V/h57t/V+4+eX/e9SJ3TctG/j7gi6/PF19tfeEyRMBIEf6+0un9n3/of319YX7H7qv7uDTV7zS1z/A6r9DV+/2U2968cUTT+2+4cZU9b5TZdTUpMMPL8fUkBUBIEfGjEnTp6dVq37rNJD19T0PPvRA7e+ccdva7btf/Xfo7Nk+c8mvXvz0aX0/XPpbDaitLZ1d8vOfL32rKOSFAJAvdXXppJNKR3/u2I3T0JB+9rMXJ0392q2v7HX136GzZ/spN7307h/NTv/4jzt/NGZMKSozZ1r9yRkBIHfq69Mf/EG66aadZ3eZPv2fX2rrL36g1X+H9u6+619oLR1Iet11pUX/0UfTpz9dulvIFwEgjxoa0umnp9deS0cdlerq9mXx36m7t7+04p9zTnrjjXTMMaXzSkLufLCzpELFaWgYgj02Q3InMFJ5BQAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEEJAEBQAgAQlAAABCUAAEENJgDNzc1V5E51dXVjY+OsWbNef/31MjzSyNjrr78+a9asxsbG6urqHf/dTU1Ns2fPfvPNN7Mejcx4BcBOxWKxvb191apVU6dOnTt3btbjMJTmzp07derUVatWtbe3F4vFHf/dW7duXbly5aGHHnrBBRdkPSDZEAB2VSwWly5dOmPGjKwHYWjMmDFj6dKlO9b99ysWizfccMPMmTOHfS6yJwAMbM2aNXPmzMl6Cj6sOXPmrFmzZq9Xe/zxx70OCEgA2K3ly5evXbs26ykYvLVr1y5fvvwDXvkHP/iBt3+iEQB2q1gsLly4MOspGLwFCxbsbs/P+xWLxYsvvrjMEzGyCAB78tRTT2U9AoO3evXqfbr+Y489VrZZGIkEgD3p6OjIegSG77+vvb29bLNQXv39/YO4lQCwF62tranCbe7sHYabjDQbN27c15sUi8XOzs7yjMNI/D0VAPaiubk5VbiJDaOH4SYjTVVV1SBu9cHfMyAHv6cCwJ7st99+WY8A7F119WAWcwFgT3wcDHJMANitqqqqq666KuspgHIRAHbrjDPOmDZtWtZTAOUiAAzsuOOOW7FiRdZTAGUkAOyqqqrqzDPPfP7557MeBCgvAeA3GhoaTj311Jdfftlzf4igZhC3eeGFF5qamsowDJmZMmVKXV1d1lMAIz4Ahx566MSJE8swDADDxy4ggKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAISgAAghIAgKAEACAoAQAIqibrAUaKx1/dcsuzb7/y753b+1NjXc3BE+om1I9OYWzu7J3YkNt/72PrNmc9AoxEApBufOqtb971cltXX9aDAAyr6AH4o2uff+DX72Y9BUAGQr8HYPUHIosbgKXPvG31ByKLG4D/fufLWY8AkKWgAVjzxtbNhd6sp2Dkauvy8CD/ggZg+TNvZT0CI9qbW7qzHgHKLmgAXv2PrqxHYERrd1gwAQQNwPZiMesRGNFG11RlPQKUXdAAjK8blfUIjGiHNddnPQKUXdAAHDJxbNYjMKKddeKUrEeAsgsagMa66B+BZg8a62o+e0Rz1lNA2QUNAOzBlV8+MusRYDgIAPyWzx458YKTD8l6ChgOAgC/ccqRzY8sPDHrKWCY2BWeUjElh/yF11hXc+WXj/Tcn1AE4IOu/icc2njKkbl9YzDfJ4R5v7au3je3dLd19VVXpSMPbDjnxCkzvetLPALwQZ08dcKVX/LeIJAf3gMACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgarIegBFh/fr11dWeDeTKu+++m/UIjHQCENe6devmz5+/evXqjo6OrGcBMiAAQc2ZM2f58uXFYjHrQYDMCEBEM2bMWLNmTdZTABmz2zecuXPnWv0BAQhn3bp1y5Yty3oKYEQQgFgWLVpkvz+wgwDE8sQTT2Q9AlDJAejv7y/DJAyHbdu2ZT0CMPQGtywPJgCtra2pwm3u7Nn3m/SmCtfX12f/D3vmKUKFGtyyPJgANDc3pwo3saF2328yOlW4mpqaqqqqrKdgRBs3blzWI5CGbVkeTAB8Z0DlGj9+fNYjAENvcMuypTyWz3zmM1mPAIwUAhDL4sWL7QUCdhCAWA477LDzzjsv6ymAEUEAwrn++uvtCAIEIKjHHnvs/PPPty8IghOAoK6//voNGza0tLQ0NjYqAcTk66DjOvjgg++5556sp6BcNm3aNHny5KynYETzCgAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACKom6wFgGG3fnjo60ujRqbo6tbeX/qSUxo9P48aV/tLTkxoaUo1fCqLwWCeA7dtTV1fpzz/9U3rkkfTzn6e33tr1OgcdlI49Np1ySvrTP0319amuTgnIPQ9xcq2nJ/X3p3vvTX/3d+m55/Z0zbffLv1ZuTItWpSOPz5985tp1qzSC4W6uuGbFoaX9wDIr0Ih3XFHOvrodPrpe1n9d/H88+lP/iRNm5Z+/OPSnUBOCQB5VCikN95If/iH6ayz0oYNg7yTDRvS2Wen004r/aWra4gnhBFAAMidzs706KOl5+9PPTUE9/bkk+moo9J995XuFvJFAMiXzs50zTWppWUon7O/91762tfSdddpADkjAORIZ2e66aZ02WWpWBziey4W07e+lZYt0wDyRADIi66u0iGeixaVcRMLF6bHH0/d3WXcBAwjASAvOjrSN75ROuizfPr70xlneBFAbggAuVAopD/7s7RtW9k31N6e5szRAPJBAKh8/f2lA37uu2+YNnfvvWnNmvK+1IBhIQBUvq6udPnlw7rFb33LOwHkgABQ+X7+89Jnd4fTCy+kX/xiWLcIZSAAVLj29nT11Rlsd/HinV8mChVLAKhwtbXp/vsz2O7KlaVNQyUTACrck09mc0xOoZCefjqD7cLQEQAqWW9vevjhzLb+8MOlr5uGiiUAVLLOztI7wFl5/nnfEkpFEwAq2ahRaf36zLb+6qulM8ZAxfLwpZLV1qYtWzLb+pYtpdMLQ8USACpZbW2Wx2Ju3ZrGjMls6/ChCQCVrFjMcifMqFG+EIKKJgBUst7eNG5cZltvaCgNABVLAKhkPT1pypTMtn7QQQ4DpaIJAJWsvz8dfnhmWz/88KE/9RgMo5rh3FhFe3L9lkvvXptyanNn78SGyjug5QtHNZ18/AnVd9+dzeZPOKG0FwgqlgB8UM9t2Prchq1ZT8Fv+cXb+9/22c81pv+Rzea/+MVU4zeICmYXEBXsyfVbxnzqE6m5OYNt779/OvroDLYLQ0cAqGAd721/8Febiqd/PYNtf/3rqa8vg+3C0BEAKtviZ9/tvOSbw/1pgOrqdOml3gCg0gkAle2Rta1vprHpq18d1q3+8R+npqZh3SKUQdAAtHV58Z4fC+9/s/C9q9PYscO0vfr6dO21WX4ADYZI0AC8ucW3+ObHQ6+0Pvxv7/X8z/81TNu78ko7f8iHoAHY6hVAvsy5c/3Ws+ak2bPLvqUvfCHNnVt6EQCVL2gARo8K+g/Pq82F3i/f+krhhzen6dPLuJnp09Ntt3n6T24EXQePOMDvcN6sfq1t7t1vdD74SJo6tSwbmDo1/exnab/9ynLnkIWgATj7xN/JegSG3u0vbFz08DuFp55Jv/d7Q3zXxxyTnnsuNTamqqohvmfITtAA/P5HG5v3q816CobekqffPmflhsIjjxXPOHPI7vTMM9MTT5SO+xw1asjuE0aAoAFIKV311d/NegTK4s7/8+8n3/Crd777/e5lt3zYb4lobk4rVqQlS0r7/T33J3fiBuCsE6e0fOLArKegLP73W+1Hf++Fmz9yUtcrr/YvumQwB+3U16dLLkmvvVb6iJl3fcmpuAFIKd1zwbEakFfbuvsu+OmrJ/3gxQfOXND1r2/3XLU4HX/83p/FV1Wl445L11yT3nkn/e3fpvHjnfWXHBvMq9rW1taJEyemvPjRs+9c/JNft3Y4tVNuHX5A/Z8fP2nOp5onNIzuW72m4YVnq9etSxs3pq6u0hld6uvTpEnFI47oP2nGqBknlRpQV5eD73netGnT5MmT9/VW27Zt28+RThVo8+bNzfu+w1MAdnruX7cuX/Nv697t7O7tHz+m5iMT6sbXVfwSkPsTwuyr8XU1hzWPndRQM3lU37ja6tpRVaOqUlV1Vf2Y0WMnjM/y/PJlIAChbB5UAAKtcXt2wiGNJxzSmPUUAMMnV095APjgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACEoAAIISAICgBAAgKAEACKpmELdpa2urqqoqwzBkpqenp7m5uaZmMI8H8qStra23tzfrKdhnbW1t+36jZB1np9ra2mnTprW0tMybN2/y5MlZj8OHtWnTJv+P7JkAsKv6+vrvfOc7CxcuzHoQPhQBYK+8B8CuCoXCRRddtGDBgqwHAcpLABjY9/9L1lMAZWQXELs1bty4tWvX2o1QoewCYq+8AmC3tm3bduONN2Y9BVAuAsCe3HPPPVmPAJSLALAnv/zlL7MeASgXAWBPuru7t27dmvUUDMbGjRuzHgEAAAAAAAAAAAAAAIA0RP4TFhzfAt16eP0AAAAASUVORK5CYII=
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{"path_coordinates": [[1, 2], [0, 2], [0, 1], [1, 1], [1, 0]], "path_cell_ids": [8, 7, 4, 5, 2], "start_cell": [1, 2], "end_cell": [1, 0], "maze_config": {"shape": "square", "width": 3, "height": 3, "layers": 10, "algorithm": "recursiveBacktrack", "seed": 428761306}, "difficulty": {"difficulty": 0.9509775004326937, "H_turn": 0.9182958340544896, "H_turn_norm": 0.9182958340544896, "H_rate": 1, "H_rate_norm": 1, "turns": ["RIGHT_90", "RIGHT_90", "LEFT_90"], "turnCounts": {"RIGHT_90": 2, "LEFT_90": 1}, "steps": 4, "baseAngleUsed": 90}}
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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
Add the blue solution path for the maze, connect start point (solid red circle) to end point (red 'X' mark). Ensure all original maze elements (walls, points, etc.) remain unchanged—only add the path.
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