{"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":"445da469-ce0b-57cd-bc9c-b64c47e9ba72","task_key":"default--test--687","task_revision_id":"1","upstream_id":"687","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.\\nWhat is the equivalent of the following in Tensorflow?\\nnp.reciprocal(A)\\nI want to get a tensor.\\n\\nA:\\n<code>\\nimport tensorflow as tf\\n\\nA = tf.constant([-0.5, -0.1, 0, 0.1, 0.5, 2], dtype=tf.float32)\\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":[]}