interpreter | A simple intepreter written in java | Interpreter library

I had the same problem, man. I want to transplant tflite to the development board of CEVA. There is no problem in compiling. In the process of running, there is also an error in AddBuiltin(full_connect). At present, the only possible situation I guess is that some devices can not support tflite.

https://docs.python.org/3/library/math.html

The math module consists mostly of thin wrappers around the platform C math library functions.

While python itself can only execute a single instruction at a time, a low level c function that is called by python does not have this limitation.
So it's not python that is using multiple cores but your system's well optimized math library that is wrapped by python's math module.

That basically answers both your questions.

Regarding the usefulness of multiprocessing: It is still useful for those cases, where you're trying to parallelize pure python code or code that does not call libraries that already use multiple cores. However, it comes with inter process communication (IPC) overhead that may or may not be larger than the performance gain that you get from using multiple cores. Tuning IPC is therefore often crucial for multiprocessing in python.

I'm running on Windows, and your code has the same problem.

The first thing I noticed was that you do not have a backend specified. On my system clicking the button just shows an image without a GUI. In this situation there is nothing for click events to be connected to, and there is no GUI window to close.

I'm assuming on MacOS a plot figure shows up and lets you click on the graph several times. Once you close the graph print("ok1") is run. If this is the case plt.show() is blocking and waiting for the window to close. This is really a matplotlib issue. I tried running plt.show(block=True) which did not work with PySide2. There could be a PySide2 compatibility issue or a configuration file or the system setting causes different behavior.

The code below does checks if the figure.canvas is visible and blocks until it is closed.

The command you want to build, will have to be built using a task. Once built in a task, you can then bind it to which ever key configuration you like. Before I answered this I built a simple example to help demonstrate what I just said.

Create a tasks.json file in the .vscode directory. You can use this command from your projects root:

Tasks are like creating complicated keybinding (well sort'a), its more like a complex keybinding that took steroids, and can do a bunch of stuff keybindings cannot do. All BS aside, it is an extremely powerful tool. VSCode users that are not using it, are missing out on one of the most powerful features that VSCode offers. Anyhow, this is how you create a task that, in-a-nutshell, defines and executes a shell command.

Your gadget is at 0x55555558f8.

Ropper shows the addresses of gadgets the way the ELF header describes the memory layout of the binary. According to that header:

• The file contents 0x0-0xadc are to be mapped as r-x at address 0x0.
• The file contents 0xdb8-0x1048 are to be mapped as rw- at address 0x10db8.

Account for page boundaries and you get one page mapping file offset 0x0 to address 0x0 as executable and two pages mapping file offset 0x0 to address 0x10000 as writeable.

From your GDB dump, these mappings are created at 0x5555555000 and 0x5555565000 in the live process, respectively.

The cryptic error message is of little help, but the stack trace shows that the error occurs in the line:

I think there is two ways of trying to solve this

1- Try Restarting your Editor

2- Try this:

python -m pip install SpeechRecognition

then restart the Editor.

In regards to your second code snippet with the ImportError: cannot import name 'process_pdf' from 'pdfminer.pdfinterp' I suggest checking this GitHub issue.

Apparently process_pdf() has been replaced by PDFPage.get_pages(). The functionality is nearly the same (with the parameters you used (rsrcmgr, device, in_file, pagenos=[1,3,5], maxpages=9) it works!) hence check the implementation on-site.

As the error message states: