{"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":"00af4c6a-4e32-570d-a2fb-46cf50b0f196","task_key":"default--test--363","task_revision_id":"1","upstream_id":"363","short_description":"Lists have a very simple method to insert elements:","config":"default","split":"test","body":"{\"library\":\"Numpy\",\"prompt\":\"Problem:\\nLists have a very simple method to insert elements:\\na = [1,2,3,4]\\na.insert(2,66)\\nprint a\\n[1, 2, 66, 3, 4]\\nFor a numpy array I could do:\\na = np.asarray([1,2,3,4])\\na_l = a.tolist()\\na_l.insert(2,66)\\na = np.asarray(a_l)\\nprint a\\n[1 2 66 3 4]\\nbut this is very convoluted.\\nIs there an insert equivalent for numpy arrays?\\nA:\\n<code>\\nimport numpy as np\\na = np.asarray([1,2,3,4])\\npos = 2\\nelement = 66\\n</code>\\na = ... # 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":[]}