{"action":"created","issue":{"url":"https://api.github.com/repos/WalnutiQ/wAlnut/issues/277","repository_url":"https://api.github.com/repos/WalnutiQ/wAlnut","labels_url":"https://api.github.com/repos/WalnutiQ/wAlnut/issues/277/labels{/name}","comments_url":"https://api.github.com/repos/WalnutiQ/wAlnut/issues/277/comments","events_url":"https://api.github.com/repos/WalnutiQ/wAlnut/issues/277/events","html_url":"https://github.com/WalnutiQ/wAlnut/issues/277","id":168536984,"number":277,"title":"Iterate through time series dataset for training HTM","user":{"login":"quinnliu","id":2585159,"avatar_url":"https://avatars.githubusercontent.com/u/2585159?v=3","gravatar_id":"","url":"https://api.github.com/users/quinnliu","html_url":"https://github.com/quinnliu","followers_url":"https://api.github.com/users/quinnliu/followers","following_url":"https://api.github.com/users/quinnliu/following{/other_user}","gists_url":"https://api.github.com/users/quinnliu/gists{/gist_id}","starred_url":"https://api.github.com/users/quinnliu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/quinnliu/subscriptions","organizations_url":"https://api.github.com/users/quinnliu/orgs","repos_url":"https://api.github.com/users/quinnliu/repos","events_url":"https://api.github.com/users/quinnliu/events{/privacy}","received_events_url":"https://api.github.com/users/quinnliu/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":{"login":"quinnliu","id":2585159,"avatar_url":"https://avatars.githubusercontent.com/u/2585159?v=3","gravatar_id":"","url":"https://api.github.com/users/quinnliu","html_url":"https://github.com/quinnliu","followers_url":"https://api.github.com/users/quinnliu/followers","following_url":"https://api.github.com/users/quinnliu/following{/other_user}","gists_url":"https://api.github.com/users/quinnliu/gists{/gist_id}","starred_url":"https://api.github.com/users/quinnliu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/quinnliu/subscriptions","organizations_url":"https://api.github.com/users/quinnliu/orgs","repos_url":"https://api.github.com/users/quinnliu/repos","events_url":"https://api.github.com/users/quinnliu/events{/privacy}","received_events_url":"https://api.github.com/users/quinnliu/received_events","type":"User","site_admin":false},"assignees":[{"login":"quinnliu","id":2585159,"avatar_url":"https://avatars.githubusercontent.com/u/2585159?v=3","gravatar_id":"","url":"https://api.github.com/users/quinnliu","html_url":"https://github.com/quinnliu","followers_url":"https://api.github.com/users/quinnliu/followers","following_url":"https://api.github.com/users/quinnliu/following{/other_user}","gists_url":"https://api.github.com/users/quinnliu/gists{/gist_id}","starred_url":"https://api.github.com/users/quinnliu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/quinnliu/subscriptions","organizations_url":"https://api.github.com/users/quinnliu/orgs","repos_url":"https://api.github.com/users/quinnliu/repos","events_url":"https://api.github.com/users/quinnliu/events{/privacy}","received_events_url":"https://api.github.com/users/quinnliu/received_events","type":"User","site_admin":false}],"milestone":null,"comments":3,"created_at":"2016-07-31T20:37:26Z","updated_at":"2016-09-07T13:45:05Z","closed_at":null,"body":""},"comment":{"url":"https://api.github.com/repos/WalnutiQ/wAlnut/issues/comments/245284829","html_url":"https://github.com/WalnutiQ/wAlnut/issues/277#issuecomment-245284829","issue_url":"https://api.github.com/repos/WalnutiQ/wAlnut/issues/277","id":245284829,"user":{"login":"quinnliu","id":2585159,"avatar_url":"https://avatars.githubusercontent.com/u/2585159?v=3","gravatar_id":"","url":"https://api.github.com/users/quinnliu","html_url":"https://github.com/quinnliu","followers_url":"https://api.github.com/users/quinnliu/followers","following_url":"https://api.github.com/users/quinnliu/following{/other_user}","gists_url":"https://api.github.com/users/quinnliu/gists{/gist_id}","starred_url":"https://api.github.com/users/quinnliu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/quinnliu/subscriptions","organizations_url":"https://api.github.com/users/quinnliu/orgs","repos_url":"https://api.github.com/users/quinnliu/repos","events_url":"https://api.github.com/users/quinnliu/events{/privacy}","received_events_url":"https://api.github.com/users/quinnliu/received_events","type":"User","site_admin":false},"created_at":"2016-09-07T13:45:05Z","updated_at":"2016-09-07T13:45:05Z","body":"What is the most efficient way to store all of the subimages? in Memory and Temporal Groups?\r\nOperations that are needed are:\r\n1. compared 1 subimage to another and quickly determine if they are the same. \r\n\r\nOption 1) Store them as a set: http://stackoverflow.com/questions/10396404/python-spacetime-efficient-data-structure-to-store-2d-bit-arrays\r\n\r\nPro: Space efficient if subimages get really big and mostly white.\r\nPro: compare is O(n) instead of O(n^2) for 2d array representation of subimage\r\nPro: union and intersection is O(n) instead of O(n^2) for 2d array representation of subimage. \r\nCon: The data structure is only for binary images and isn't scalable to color images. \r\n\r\nFor this con reason alone I will use a 2d array representation of subimage since space & time are not that important right now. \r\n\r\n"}}
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