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For the microscope images, we can use a binary matrix where each pixel | |
corresponds to either black or white. | |
For the dye sensor images, we can use a sparse representation. | |
We’ll only store the coordinates (x, y) where the dye is detected, instead of storing the entire image. | |
We can use a list of tuples or a dictionary | |
Microscope image: 100,000 x 100,000 bits | |
Dye sensor image (sparse representation): Depends on the number of dye-detected pixels. |
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// go to https://twitter.com/your-username, and enter the following into the developer console: | |
for(var i = 1; i < 500; i++){ // just do it a bunch | |
// Un retweet | |
document.getElementsByClassName("ProfileTweet-actionButtonUndo")[i].click(); | |
document.getElementsByClassName("js-close")[0].click(); | |
// Delete tweets | |
document.getElementsByClassName("js-actionDelete")[i].childNodes[1].click(); | |
document.getElementsByClassName("delete-action")[0].click() | |
} |