{"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":"9c5dacd7-8a49-53a8-8917-75143de6cede","task_key":"default--test--727","task_revision_id":"1","upstream_id":"727","short_description":"How can I extract the main diagonal(1-d array) of a sparse matrix? The matrix is…","config":"default","split":"test","body":"{\"library\":\"Scipy\",\"prompt\":\"Problem:\\nHow can I extract the main diagonal(1-d array) of a sparse matrix? The matrix is created in scipy.sparse. I want equivalent of np.diagonal(), but for sparse matrix.\\n\\nA:\\n<code>\\nimport numpy as np\\nfrom scipy.sparse import csr_matrix\\n\\narr = np.random.rand(4, 4)\\nM = csr_matrix(arr)\\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":[]}