# DS-1000 / 407

task_id: 332abdd1-b7e7-5e8d-a09f-0d79673302f9
task_key: default--test--407
task_revision_id: 1

{"library":"Numpy","prompt":"Problem:\nI'm looking for a fast solution to MATLAB's accumarray in numpy. The accumarray accumulates the elements of an array which belong to the same index.\nNote that there might be negative indices in accmap, and we treat them like list indices in Python.\n An example:\na = np.arange(1,11)\n# array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10])\naccmap = np.array([0,1,0,0,0,-1,-1,2,2,1])\nResult should be\narray([13, 12, 30])\nIs there a built-in numpy function that can do accumulation like this? Using for-loop is not what I want. Or any other recommendations?\nA:\n<code>\nimport numpy as np\na = np.arange(1,11)\naccmap = np.array([0,1,0,0,0,-1,-1,2,2,1])\n</code>\nresult = ... # put solution in this variable\nBEGIN SOLUTION\n<code>\n"}

Source: https://ds1000-code-gen.github.io/

initial import

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