lv8 | V8 for Lua -

This script will print title and price of products on the page:

There are seems no way to return value through RPC, then I try to use RPC directly in my confirmation.

You may need -Wl,--start-group and -Wl,--end-group around the actual v8 libraries in your target_link_libraries().

If your objective is to replicate the Makefile, the libraries in your Makefile "LIBV8" are not the same as the libraries in your CMake "LIBV8".

Nested loop through both products and discounts array, if the product id is included inside the productIds array of any of the objects in the discounts array, assign the discount id to the product discount.

Instead of using str() you should use .text or .get_text()

The error indicates that you are passing a single Python path where you should actually pass a list of Python paths, i.e. django.some.module.path instead of ['django.some.module.path']

Django then iterates over the string, and tries to import each character. In case of django.some.module.path, Django tries to import d, which gives you the error you are seeing.

To pinpoint the exact source of the error, you have to provide the complete traceback. You can click on 'Switch to copy-and-paste view' on the Debug Error page.

Update:

Here is your error:

The error message tells you that you are missing the Ubuntu package libv8-dev:

Configuration failed because was not found. Try installing:

• deb: libv8-3.14-dev (formerly: libv8-dev) (Debian, Ubuntu)

To install it, run the following on the command line:

The only way to increase the memory used by the application is setting android:largeHeap="true" in the application tag of the Manifest. Obviously setting this has some disadvantages which you can read here.

If you get a OOM (OutOfMemory) error, 99% it's your fault in handling app memory. If you need to read a big file (maybe because you need to parse content) don't load it enterily in the RAM, but read it at fixed block of bytes at a time.

Without seeing your code or without knowing your intention we can't be more usefull

To speed up up Android Studio you can increase the RAM dedicated to the JVM. Read here for more infos here and here