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I'm trying to use Selenium in Python to send sms using my Dlink DWR-921 router. But I can't select any element on the document. I tried td, table, body but none of them works. I also tried on browser javascript for the above elements as well. Using document.getElementsByTagName(), but I get empty HTMLCollection. May I know why the element in the page is not selectable?

Update: To ensure the dom last been properly and fully loaded. I took a screenshot and confirmed that the DOM has been loaded everytime it run. Router model: DLink DWR-921

SW Version: V01.01.3.016

I am trying to compile cuda object files with nvcc, and compile the final main script using the g++ compiler. I have seen this post but wasn't able to get my example working. The error I am getting seems to be a linkage error:

I am trying to scrape some data with Scrapy(2.5.0) Python (3.6.0)

Scrapy Works for some urls around 70 to 100 after it Just Quit with Spider closed (finished) Without any Error

But there is more then 200K+ requests to make

I'm trying to use CUDA separable compilation in my project. The project is composed of a binary that depends on a few shared libraries (all built in the same build system). These shared libraries in turn use common CUDA code. When running the binary, I get a segfault similar to here. When I create a minimal example, I get "invalid device function" error instead. If I turn the shared libraries into static libraries, the error goes away. Unfortunately I don't have control over this and need to make it work with shared libraries.

I have seen a couple similar posts here in SO, but they use CMake and the solutions usually involve changing libraries from shared to static, which I can't do in my project. I have double-checked that I'm running the code on the right GPU (and indeed it works if I do some changes, see below), so that's not the issue.

I believe I'm missing something when doing CUDA separable compilation, device linking or creating shared libraries.

Below is a fully reproducible minimal example of the problem:

I have been working with flask for a long while, but after a break from it, I cant seem to figure out what's wrong here.

index.html:

Question: I want to fade / highlight a whole dependency chain, based on the link type.

To do so I utilize the mouseEnter event, which currently store all links and nodes. Further I fade all nodes and links and only highlight those nodes which where filtered as related nodes and links. It would require to check all related nodes and links again, if those have connections from type need too. This must be done as long as dependency connections are found.. I can´t figure out a proper algorythm.

Examples:

For better understanding I created a beer ingredients dependency, which looks lika a star. For those purposes my version is fine. BUT the second chain, about car -> wheel -> tires -> rubber and the radio is giving me headache. The radio is a "use" dependency, means its not mandatory for the chain and shouldn´t be hightlighted.

Expected result:

If the cursor is over car all connected nodes with a "need" dependency should be highlighted and the rest should fade.

For those who wants to help me with, please dont hesitate to ask, if anything is unclear.

I am new to Python. I am trying to fetch URLs from a page, which has 18 URLs in it, in a DIV with all having the same class name. Below is the code I have used. When I use the below code without a return statement. then it gives all 18 URLs on the page. I have to return these URLs and when I am doing so, it's only returning one URL.

I've been struggling to fix an intermediate linking error that I get when using CMake to build my nvcc project. I've been upgrading a previous project to utilize CUDA and was able to successfully call functions from that library from host code. When I try to call functions of that library from device code, I get the intermediate linking error. I annotated all of the functions with __device__ and __host__ descriptors.

As a side note, this is a ROS project, so I'm using some of the catkin CMake functions.

This is a snippet from the ParticleFilter code that calls the host and device functions:

I am trying to optimize a CUDA code with LLVM passes on a PowerPC system (RHEL 7.6 with no root access) equipped with V100 GPUs, CUDA 10.1, and LLVM 11 (built from source). Also, I tested clang, lli, and opt on a simple C++ code, and everything works just fine.

After days of searching, reading, and trials-and-errors, I managed to compile a simple CUDA source. The code is the famous axpy: