{"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":"daa8e3cc-0351-5918-9750-8f0171e816cd","task_key":"default--test--781","task_revision_id":"1","upstream_id":"781","short_description":"I'm searching for examples of using scipy.optimize.line_search. I do not really…","config":"default","split":"test","body":"{\"library\":\"Scipy\",\"prompt\":\"Problem:\\nI'm searching for examples of using scipy.optimize.line_search. I do not really understand how this function works with multivariable functions. I wrote a simple example\\nimport scipy as sp\\nimport scipy.optimize\\ndef test_func(x):\\n    return (x[0])**2+(x[1])**2\\n\\ndef test_grad(x):\\n    return [2*x[0],2*x[1]]\\n\\nsp.optimize.line_search(test_func,test_grad,[1.8,1.7],[-1.0,-1.0])\\nAnd I've got\\nFile \\\"D:\\\\Anaconda2\\\\lib\\\\site-packages\\\\scipy\\\\optimize\\\\linesearch.py\\\", line 259, in phi\\nreturn f(xk + alpha * pk, *args)\\nTypeError: can't multiply sequence by non-int of type 'float'\\nThe result should be the alpha value of line_search\\nA:\\n<code>\\nimport scipy\\nimport scipy.optimize\\nimport numpy as np\\ndef test_func(x):\\n    return (x[0])**2+(x[1])**2\\n\\ndef test_grad(x):\\n    return [2*x[0],2*x[1]]\\nstarting_point = [1.8, 1.7]\\ndirection = [-1, -1]\\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":[]}