When I plug my phone into my computer, I can see the console output in Android Studio.
I recently noticed that whenever I start entering a password in a field designated for passwords (the ones that display ‘*’ for any character) the phone prints a very concerning message to the console:
D/HwAutofillHelper: inputType is password, now record
Since it is a Honor Phone, I suppose Hw is short for Huawei?
Nevertheless I’d like to know if there is a way to find out what process produced this output and what app it belongs to?
I have a simple query that outputs columns A and B of a project dataset, when the value in column A is not empty:
QUERY(Projects!A2:B, “SELECT A,B WHERE A<>””)
This creates an easy to scan highlight of the important project data (in my case, project name and next action item). However, the project details are in another tab, so if I want to examine the project, I have to copy the name, go to the tab, and search for the project.
It would be super nice if the output of the QUERY could automatically hyperlink to the source data. Or maybe there is a hotkey I can press to jump to the source. Does this feature exist?
I’m trying to make a log-x plot of a function evaluated over a specified range. The function is an interpolation function defined (by the range of data provided) between 1e5 and 1e9.
But when I try to plot the function over this range using LogLinearPlot, i get a series of errors about evaluations waaay outside of this range, and then no plot is shown.
In the interest of providing a fully working example, here is my function to plot – it simply accepts some points and provides a linear interpolation between them (probably an overly complicated way to do it)
I was considering using a transformer, on input data which can be represented as an embedding, so I can use the attention mechanism in the transformer architecture. As my data is of variable input and output length and the input is sequential. My question is that my output data is suppose to be either numerical or probabilities for each output variable. The output was originally supposed to 13 numerical outputs but I decided to use a probability score as way of normalizing the output. My question is can I use two output vectors with 7 features each instead of 13 numeric outputs. Each feature would map to one of the original output vectors and the the last feature would always be 0. As PyTorch expects your output to be the same number of features as your input. My input variables are embedded as 7 features. Should this approach work, as I am unsure of how the loss function works or is there a loss function that would allow for this.
Both have coinbase transactions, which spend to d5d27987d2a3dfc724e359870c6644b40e497bdc0589a033220fe15429d88599-0. Also, first transaction output is not spent by the time second transaction is added to blockchain.
What does this mean? If d5d27987d2a3dfc724e359870c6644b40e497bdc0589a033220fe15429d88599-0 is ever one of the inputs, how much bitcoin does it contain? 50 or 100?