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I found two apps that solve the question in question, DWGsync (free and compatible until autocad 2021) https://apps.autodesk.com/ACD/es/Detail/Index?id=2788892389049910944&appLang=en&os=Win32_64 and Drawing Sync (licensed and compatible autocad 2018) https://apps.autodesk.com/ACD/en/Detail/Index?id=2152736212918385179&appLang=en&os=Win32_64

First of all, note that you use double-precision here and that mainstream middle-end consumer GPUs are very slow to compute double-precision floating-point numbers. Indeed, a GTX 1660 Super GPU has a computing power of 5027 GFlops for simple-precision and only 157 GFlops for double-precision (32 times slower). One simple solution is to use simple-precision floating-point numbers in your code by specifying dtype=np.float32 or converting arrays using array.astype(np.float32). An alternative expensive solution could be to use professional GPUs dedicated for that if you cannot use simple precision or mixed-precision.

Moreover, several expressions can be pre-computed ahead of time and stored in constants. This includes for example math.cos(angi), math.sin(angi) and 1.0/SDD. Some other expressions can be stored in temporary variables as the compiler may not be able to efficiently factorize the code (mainly because of trigonometric functions).

Additionally, trigonometric functions are often very expensive, especially when you want the computation to be IEEE-754 compliant (which is likely the case for math.xxx calls). You can use approximations instead. CUDA provides the __cosf, __sinf and __tanf intrinsics for that which should be much faster (but be careful of the result if you use them). I am not sure you can call them directly but you can add the parameter fastmath=True to the JIT decorator which can do that for you.

I think using a 2D thread block of 32x8 may be a bit faster because threads are packed in warps containing 32 threads and the GPU. But the best solution is to check the performance with many different block sizes.

If all of this is not enough, you could try to use the shared memory to reduce the amount of instruction done per bloc as some expression are recomputed multiple times per bloc.

Use SendInput instead.

Tested in Excel to mimic ^a, ^x, ^v, ^space

You need to do skb_reserve() up front on the allocated buffer, before doing any skb_put() calls for user data or skb_push() for eth/IP headers. You were segfaulting trying to skb_push() first, on a buffer without proper reservations. I also had a few other suggestions for you:

1. Include your complete source next time!
2. Rearrange the order of your pushed headers to make a legit UDP/IP packet
3. dev_get_by_name() may fail; should check before trying to memcpy to its buffer
4. Push the user data before any eth/IP header(s)
5. Return 0 rather than 1 from a module's init() to indicate success

A tutorial page like this may help to put it all together: http://vger.kernel.org/~davem/skb_data.html The code below does not segfault on my Debian 10 system with a 4.19 Linux kernel.

If this answer helps you, please mark as the accepted one - thanks.

Netbeans show popup with method signatures and popup with method documentation only when your cursor is placed at the name of a method. Popup is displayed automatically when writing method name or on demand if you press Ctrl+Space.

When your cursor is placed at the argument list, only parameter names from method signature are displayed in form of a small tooltip. You can force display of this tooltip by Ctrl+P. Unfortunately there is no way how to invoke popup with method documentation in this phase. Instead you will see documentation popups related to arguments which you will type into the method argument list. The only way to display method documentation again is to place the cursor back at the method name and press Ctrl+Space.

When you start writing a method name, popup with method signatures will emerge. When you select one of proposed method signatures by pressing Enter, Netbeans will autocomplete method name as well as its arguments. You find this uncomfortable, because names of autocompleted arguments are usually wrong. You can however easily navigate between autocompleted arguments using Tab and Shift+Tab and overwrite them as you like. Alternatively, you can use Tab instead of Enter when selecting method from method signatures popup. This way Netbeans will autocomplete only the name of the function, not its arguments.

Described Netbeans behavior applies to editing PHP code, and may differ slightly for other languages.

I had the same issue. I had to turn off FullTemplateTypeCheck in the Angular Compiler Options.

Note: this issue has been resolved in version V11.2.3 of the Angular Language Service VS Code extension.

If you want to disable fullTemplateTypeCheck:

In your tsconfig.json file set "fullTemplateTypeCheck" to false and restart VS Code.

fullTemplateTypeCheck is in the angularCompilerOptions object in your tsconfig.json file.

Here is mine:

Thanks to @OOPer, I was able to parse it as a dictionary:

Just take out --ignore-all-space.

You could use the Chinese (well, CJK) Unicode property \p{script=Han} or \p{Han}.
However, this only works if the regex engine supports UTS#18 Unicode regular expressions. The default Python re module does not but you can use the alternative (much improved) regex engine: