{"action":"created","issue":{"url":"https://api.github.com/repos/hzeller/rpi-rgb-led-matrix/issues/155","repository_url":"https://api.github.com/repos/hzeller/rpi-rgb-led-matrix","labels_url":"https://api.github.com/repos/hzeller/rpi-rgb-led-matrix/issues/155/labels{/name}","comments_url":"https://api.github.com/repos/hzeller/rpi-rgb-led-matrix/issues/155/comments","events_url":"https://api.github.com/repos/hzeller/rpi-rgb-led-matrix/issues/155/events","html_url":"https://github.com/hzeller/rpi-rgb-led-matrix/issues/155","id":159834399,"number":155,"title":"Adding a Transformer to Python Code","user":{"login":"FarhadGSRX","id":12214755,"avatar_url":"https://avatars.githubusercontent.com/u/12214755?v=3","gravatar_id":"","url":"https://api.github.com/users/FarhadGSRX","html_url":"https://github.com/FarhadGSRX","followers_url":"https://api.github.com/users/FarhadGSRX/followers","following_url":"https://api.github.com/users/FarhadGSRX/following{/other_user}","gists_url":"https://api.github.com/users/FarhadGSRX/gists{/gist_id}","starred_url":"https://api.github.com/users/FarhadGSRX/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/FarhadGSRX/subscriptions","organizations_url":"https://api.github.com/users/FarhadGSRX/orgs","repos_url":"https://api.github.com/users/FarhadGSRX/repos","events_url":"https://api.github.com/users/FarhadGSRX/events{/privacy}","received_events_url":"https://api.github.com/users/FarhadGSRX/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":4,"created_at":"2016-06-12T16:02:45Z","updated_at":"2016-06-13T04:06:06Z","closed_at":null,"body":"Good day team,\r\n\r\nLike many, I have been drawn to this library because of its great utility with RGBMatrices: it's awesome.\r\n\r\nJust recently I got another 64x32 matrix, totalling up what I have to a 64x64 matrix.\r\n\r\nI see that there is talk of a class that does a transformation allowing two daisy chained 64x32 boards to behave like one large 64x64 square.\r\n\r\nAlthough I have been able to see and observe that functionality while using the demo, I have not been able to get that to work while running any of the Python samples.\r\n\r\nHow does one invoke or use the transformer in their python code?\r\n\r\nPlease forgive me if my question is missing something very obvious, I have spent all of 5-6 hours looking through all of your code trying to figure out what that is.\r\n\r\nThanks in advance!\r\nFG\r\n\r\nEdit: It appears that there is already talk about this, and the function as yet does not exist for Python. I would just like to add my name to the list of people thanking Saij for his time on this project and implementing this for us."},"comment":{"url":"https://api.github.com/repos/hzeller/rpi-rgb-led-matrix/issues/comments/225485418","html_url":"https://github.com/hzeller/rpi-rgb-led-matrix/issues/155#issuecomment-225485418","issue_url":"https://api.github.com/repos/hzeller/rpi-rgb-led-matrix/issues/155","id":225485418,"user":{"login":"FarhadGSRX","id":12214755,"avatar_url":"https://avatars.githubusercontent.com/u/12214755?v=3","gravatar_id":"","url":"https://api.github.com/users/FarhadGSRX","html_url":"https://github.com/FarhadGSRX","followers_url":"https://api.github.com/users/FarhadGSRX/followers","following_url":"https://api.github.com/users/FarhadGSRX/following{/other_user}","gists_url":"https://api.github.com/users/FarhadGSRX/gists{/gist_id}","starred_url":"https://api.github.com/users/FarhadGSRX/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/FarhadGSRX/subscriptions","organizations_url":"https://api.github.com/users/FarhadGSRX/orgs","repos_url":"https://api.github.com/users/FarhadGSRX/repos","events_url":"https://api.github.com/users/FarhadGSRX/events{/privacy}","received_events_url":"https://api.github.com/users/FarhadGSRX/received_events","type":"User","site_admin":false},"created_at":"2016-06-13T04:06:06Z","updated_at":"2016-06-13T04:06:06Z","body":"@bbarrilleaux Thanks so much for the explanation! Here's hoping we get some explanation on the 64x64 transformer soon too. =]"}}
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