{"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":"b2f2ae89-6107-5ab9-a7ea-6e6b86ed454a","task_key":"default--test--441","task_revision_id":"1","upstream_id":"441","short_description":"I just want to check if a numpy array contains a single number quickly similar…","config":"default","split":"test","body":"{\"library\":\"Numpy\",\"prompt\":\"Problem:\\nI just want to check if a numpy array contains a single number quickly similar to contains for a list. Is there a concise way to do this?\\na = np.array(9,2,7,0)\\na.contains(0)  == true\\nA:\\n<code>\\nimport numpy as np\\na = np.array([9, 2, 7, 0])\\nnumber = 0\\n</code>\\nis_contained = ... # 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":[]}