argparse | JS port | Parser library

I tried to change a few lines from the original code however when I tried to run , I got error that say 'AttributeError: module 'PngImageFile' has no attribute 'shape'. However, I had no problem when running the original code. What should I do to remove this error in my modified code?

Here is the original code :

I'm writing a REPL that has meta commands. The meta commands can take options and arguments, and I'm trying to use argparse to handle them. As such, I don't want to exit the program entirely if a user doesn't use the command correctly. At most, I'd like to print a usage message and continue the REPL. Here is the basic idea of what I'm trying:

I'm working on two Flutter projects, one of them has already been migrated to null safety and uses Flutter 2.0.5. The second project, the one that causes the issues, is not yet migrated to null safety and uses Flutter 1.22.6. Switching projects is done by just renaming the Flutter SDK folder.

Now the problem is that build_runner only works for Flutter 2.0.5. When calling flutter pub run build_runner build from inside the Flutter 1.22.6 project, it fails with the following error messages:

I'm attempting to get the hashes of the file which is the argument supplied. Here is my current code:

im trying to use pyinstaller to convert this python file to a exe file, but whenever i try to do this i get an error in the output. Im using cmd with the auto-py-to-exe command and ive been trying to figure out what this error means but i cannot understand a thing about what is going on.

If anyone knows how to fix this, please help. Everything shown is the information I know.

Here is my code:

I have identified the below script as being really useful for anyone running Amazon Redshift:

I am currently working on building a CNN for sound classification. The problem is relatively simple: I need my model to detect whether there is human speech on an audio record. I made a train / test set containing records of 3 seconds on which there is human speech (speech) or not (no_speech). From these 3 seconds fragments I get a mel-spectrogram of dimension 128 x 128 that is used to feed the model.

Since it is a simple binary problem I thought the a CNN would easily detect human speech but I may have been too cocky. However, it seems that after 1 or 2 epoch the model doesn’t learn anymore, i.e. the loss doesn’t decrease as if the weights do not update and the number of correct prediction stays roughly the same. I tried to play with the hyperparameters but the problem is still the same. I tried a learning rate of 0.1, 0.01 … until 1e-7. I also tried to use a more complex model but the same occur.

Then I thought it could be due to the script itself but I cannot find anything wrong: the loss is computed, the gradients are then computed with backward() and the weights should be updated. I would be glad you could have a quick look at the script and let me know what could go wrong! If you have other ideas of why this problem may occur I would also be glad to receive some advice on how to best train my CNN.

I based the script on the LunaTrainingApp from “Deep learning in PyTorch” by Stevens as I found the script to be elegant. Of course I modified it to match my problem, I added a way to compute the precision and recall and some other custom metrics such as the % of correct predictions.

Here is the script:

I want to learn how to mock input that has to be typed in, when method is called inside another method
In this certain example I want to mock user input, that is required to type in when pass_arg() method, executes

Constructor

When using argparse in an executable module, the help message displays __main__.py instead of the module name. How to correct this?