{"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":"825042be-2a44-55f6-800b-8959693deef7","task_key":"default--test--507","task_revision_id":"1","upstream_id":"507","short_description":"I want to process a gray image in the form of np.array.","config":"default","split":"test","body":"{\"library\":\"Numpy\",\"prompt\":\"Problem:\\nI want to process a gray image in the form of np.array. \\n*EDIT: chose a slightly more complex example to clarify\\nSuppose\\nim = np.array([ [0,0,0,0,0,0] [0,0,1,1,1,0] [0,1,1,0,1,0] [0,0,0,1,1,0] [0,0,0,0,0,0]])\\nI'm trying to create this:\\n[ [0,1,1,1], [1,1,0,1], [0,0,1,1] ]\\nThat is, to remove the peripheral zeros(black pixels) that fill an entire row/column.\\nI can brute force this with loops, but intuitively I feel like numpy has a better means of doing this.\\nA:\\n<code>\\nimport numpy as np\\nim = np.array([[0,0,0,0,0,0],\\n               [0,0,1,1,1,0],\\n               [0,1,1,0,1,0],\\n               [0,0,0,1,1,0],\\n               [0,0,0,0,0,0]])\\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":[]}