{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"ds-1000","formal_name":"DS-1000","introduction":"DS-1000 builds 1,000 data-science problems from real StackOverflow questions across seven libraries including NumPy, Pandas and Matplotlib. The problems are perturbed so that recalling the original answer does not solve them.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://ds1000-code-gen.github.io/","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"804e0d5c-111a-5a28-9c9b-412680f4fce8","task_key":"default--test--450","task_revision_id":"1","upstream_id":"450","short_description":"Say I have a 3 dimensional numpy array:","config":"default","split":"test","body":"{\"library\":\"Numpy\",\"prompt\":\"Problem:\\nSay I have a 3 dimensional numpy array:\\nnp.random.seed(1145)\\nA = np.random.random((5,5,5))\\nand I have two lists of indices corresponding to the 2nd and 3rd dimensions:\\nsecond = [1,2]\\nthird = [3,4]\\nand I want to select the elements in the numpy array corresponding to\\nA[:][second][third]\\nso the shape of the sliced array would be (5,2,2) and\\nA[:][second][third].flatten()\\nwould be equivalent to to:\\nIn [226]:\\nfor i in range(5):\\n    for j in second:\\n        for k in third:\\n            print A[i][j][k]\\n0.556091074129\\n0.622016249651\\n0.622530505868\\n0.914954716368\\n0.729005532319\\n0.253214472335\\n0.892869371179\\n0.98279375528\\n0.814240066639\\n0.986060321906\\n0.829987410941\\n0.776715489939\\n0.404772469431\\n0.204696635072\\n0.190891168574\\n0.869554447412\\n0.364076117846\\n0.04760811817\\n0.440210532601\\n0.981601369658\\nIs there a way to slice a numpy array in this way? So far when I try A[:][second][third] I get IndexError: index 3 is out of bounds for axis 0 with size 2 because the [:] for the first dimension seems to be ignored.\\nA:\\n<code>\\nimport numpy as np\\na = np.random.rand(5, 5, 5)\\nsecond = [1, 2]\\nthird = [3, 4]\\n</code>\\nresult = ... # put solution in this variable\\nBEGIN SOLUTION\\n<code>\\n\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://ds1000-code-gen.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}