{"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":"1dbe0923-9f47-5fca-a2dc-8a9f2ebc03d9","task_key":"default--test--370","task_revision_id":"1","upstream_id":"370","short_description":"In numpy, is there a nice idiomatic way of testing if all rows are equal in a 2d…","config":"default","split":"test","body":"{\"library\":\"Numpy\",\"prompt\":\"Problem:\\nIn numpy, is there a nice idiomatic way of testing if all rows are equal in a 2d array?\\nI can do something like\\nnp.all([np.array_equal(a[0], a[i]) for i in xrange(1,len(a))])\\nThis seems to mix python lists with numpy arrays which is ugly and presumably also slow.\\nIs there a nicer/neater way?\\nA:\\n<code>\\nimport numpy as np\\nexample_a = np.repeat(np.arange(1, 6).reshape(1, -1), 3, axis = 0)\\ndef f(a = example_a):\\n    # return the solution in this function\\n    # result = f(a)\\n    ### BEGIN SOLUTION\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://ds1000-code-gen.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}