{"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":"c6c33457-d61d-5cc8-92c2-de94bf1352ea","task_key":"default--test--679","task_revision_id":"1","upstream_id":"679","short_description":"I'm using tensorflow 2.10.0.","config":"default","split":"test","body":"{\"library\":\"Tensorflow\",\"prompt\":\"Problem:\\nI'm using tensorflow 2.10.0.\\nI have a tensor of lengths in tensorflow, let's say it looks like this:\\n[4, 3, 5, 2]\\n\\nI wish to create a mask of 1s and 0s whose number of 0s correspond to the entries to this tensor, padded in front by 1s to a total length of 8. I.e. I want to create this tensor:\\n[[1. 1. 1. 1. 0. 0. 0. 0.]\\n [1. 1. 1. 1. 1. 0. 0. 0.]\\n [1. 1. 1. 0. 0. 0. 0. 0.]\\n [1. 1. 1. 1. 1. 1. 0. 0.]]\\n\\nHow might I do this?\\n\\nA:\\n<code>\\nimport tensorflow as tf\\n\\nlengths = [4, 3, 5, 2]\\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":[]}