Gfyuki

7 I'm trying to combine similar characters that are next to each other that are in a list. I was wondering if there was a Python way to do it? Here's an example: test = 'hello###_world###test#test123##' splitter = re.split("(#)", test) splitter = filter(None, splitter) Which returns this in the splitter variable: ['hello', '#', '#', '#', '_world', '#', '#', '#', 'test', '#', 'test123', '#', '#'] I'm trying to combine the hashes so the list turns into this: ['hello', '###', '_world', '###', 'test', '#', 'test123', '##'] Thanks for any help! python ...

7 1 $begingroup$ The Spectator has the Create Food and Water action ( Monster Manual , p. 31): Create Food and Water. The spectator magically creates enough food and water to sustain itself for 24 hours. I don't understand why the Spectator must to use an action in order to create its own food and water to sustain itself. Wouldn't be easier to add something like the banshee's Undead Nature trait? Undead Nature. A banshee doesn't require air, food, drink, or sleep. They could have made something like: Spectator Nature. A spectator doesn't require food or drink. Is there any important mechanical difference between both abilities? I mean, any exploit, advantage or drawback that has create food and water over it doesn't need food nor water . ...

1 $begingroup$ I have x_data and labels separately. How can I combine and load them in the model using torch.utils.data.DataLoader ? I have a dataset that I created and the training data has 20k samples and the labels are also separate. Lets say I want to load a dataset in the model, shuffle each time and use the batch size that I prefer. The Dataloader function does that. How can I combine and put them in the function so that I can train it in the model in pytorch? python dataset preprocessing pytorch share | improve this question edited 21 mins ago Community ♦ 1 ...