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gtaer.url gt.url http.url shorl.url tegynikytrepriikundrtishumzimit.shumzimisimbledhjee A: The problem is that the spaces in your file are encoded as HTML entities, not as simple spaces (which are what the regex will use to select them). You have two options: The easiest is to use the HTML entity decoding library given in your comment. Note, however, that by itself that decoder would only decode the spaces which you’ve shown. It would leave the actual HTML entities like intact. If you have more of these in your file, you’ll have to manually remove the HTML entities from the actual URL strings. Your other option would be to use a whitelist approach to specify which spaces you want to decode, so that your decoder will “disable” HTML entities in anything that is not on your whitelist. This seems much more complicated, but is probably going to be the only way to avoid having to manually filter the URLs out of your array: function decodeSpaces(text) { let output = ”; for(let space of text.split(‘ ‘)) { output += space; } return output; } let myfile = ‘Some text with spaces.’ let mydecoded = decodeSpaces(myfile) // ——————————————— // From here on the output should be what you expected // ——————————————— console.log(mydecoded); Q: Integrating tensorflow on a numpy array (char?) I have a lot of lines in a numpy array, each one is an unstructured string, and I want to apply various computation on these lines. Since the lines are structured, I can easily build a Matrix for each one (using the numpy library). However, the thing I want to do is actually similar to a typical tensorflow gradient, so I need to apply a computation on each
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