clue | An experimental C to Javascript/Lua/Perl5/Lisp/Java compiler | Interpreter library
kandi X-RAY | clue Summary
kandi X-RAY | clue Summary
Clue is an experimental C compiler for Lua, Javascript, Perl, Common Lisp, Java, and C. It compiles, eventually, ANSI C programs into a form which may be run on a standard runtime for any of these languages. Clue is EXPERIMENTAL and UNFINISHED. It is not suitable for any kind of production use. There are a number of C language features that are not implemented yet, and it produces rather bad code. However, it will compile a large number of non-trivial programs.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of clue
clue Key Features
clue Examples and Code Snippets
Community Discussions
Trending Discussions on clue
QUESTION
I have a struct with a method called call
which has a const overload. The one and only argument is a std::function
which either takes a int reference or a const int reference, depending on the overload.
The genericCall
method does exactly the same thing but uses a template parameter instead of a std::function
as type.
ANSWER
Answered 2022-Apr-08 at 13:25The problem is that generic lambdas (auto param) are equivalent to a callable object whose operator()
is templated. This means that the actual type of the lambda argument is not contained in the lambda, and only deduced when the lambda is invoked.
However in your case, by having specific std::function arguments, you force a conversion to a concrete type before the lambda is invoked, so there is no way to deduce the auto type from anything. There is no SFINAE in a non-template context.
With no specific argument type, both your call
are valid overloads. Actually any std::function that can match an [](auto&)
is valid. Now the only rule is probably that the most cv-qualified overload wins. You can try with a volatile float&
and you will see it will still choose that. Once it choose this overload, the compilation will fail when trying to invoke.
QUESTION
I am trying to use a custom allocator, using the allocator API in Rust.
It seems Rust considers Vec
and Vec
as two distinct types.
ANSWER
Answered 2022-Mar-28 at 09:53Update:
Since GitHub pull request #93755 has been merged, comparison between Vec
s with different allocators is now possible.
Original answer:
Vec
uses the std::alloc::Global
allocator by default, so Vec
is in fact Vec
. Since Vec
and Vec
are indeed distinct types, they cannot directly be compared because the PartialEq
implementation is not generic for the allocator type. As @PitaJ commented, you can compare the slices instead using assert_eq!(&a[..], &b[..])
(which is also what the author of the allocator API recommends).
QUESTION
I'm using the new syntax in Vue 3 and I really like the idea of it, but once I tried to use a top level await I started to run in some problems.
This is my code:
...ANSWER
Answered 2022-Mar-24 at 09:09Top-level await must be used in combination with Suspense (which is experimental).
You should be able to just do it in onBeforeMount
. Not as elegant; but a solid solution. Something like this:
QUESTION
Here is the dataset.
...ANSWER
Answered 2022-Mar-11 at 11:17Here's a way using separate_rows
:
QUESTION
Before iOS 15, I used UIImagePickerController to capture images and video, and I got mediaType from [UIImagePickerController.InfoKey : Any]
, then I used kUTTypeImage
(in the MobileCoreServices
library) to identify the mediaType.
However, When it comes to iOS 15, Xcode complains that kUTTypeImage was deprecated in iOS 15.0. Use UTTypeImage instead.
So, I replaced kUTTypeImage
with UTTypeImage
, but Xcode didn't know it.
Tried searching for some information, but didn't get any clue. I guess I should import the right library, but what is it?
Here is part of the code:
...ANSWER
Answered 2021-Sep-26 at 06:40It's a bit confusing. First, you'll need to import UniformTypeIdentifiers
. Then, replace kUTTypeImage
with UTType.image
(the Swift version of UTTypeImage
).
QUESTION
I have a dockerfile that currently only installs pip-tools
...ANSWER
Answered 2022-Feb-05 at 16:30It is a bug, you can downgrade using:
pip install "pip<22"
QUESTION
Let's say that I have the following working code:
...ANSWER
Answered 2022-Feb-08 at 17:56No, not until closure HRTB inference is fixed. Current workarounds include using function pointers instead or implementing a helper trait on custom structs -- the helper trait is needed regardless of approach until higher-kinded types are introduced in Rust.
DetailsTo avoid returning a Box
, you would need the type parameter I
to be generic over the lifetime 'a
, so that you can use it with any lifetime (in a for<'a>
bound, for example). Unfortunately, as discussed in a similar question, Rust does not yet support higher-kinded types (type parameters that are themselves generic over other type parameters), so we must use a helper trait:
QUESTION
I have this image for a treeline crop. I need to find the general direction in which the crop is aligned. I'm trying to get the Hough lines of the image, and then find the mode of distribution of angles.
I've been following this tutorialon crop lines, however in that one, the crop lines are sparse. Here they are densely pack, and after grayscaling, blurring, and using canny edge detection, this is what i get
...ANSWER
Answered 2022-Jan-02 at 14:10You can use a 2D FFT to find the general direction in which the crop is aligned (as proposed by mozway in the comments). The idea is that the general direction can be easily extracted from centred beaming rays appearing in the magnitude spectrum when the input contains many lines in the same direction. You can find more information about how it works in this previous post. It works directly with the input image, but it is better to apply the Gaussian + Canny filters.
Here is the interesting part of the magnitude spectrum of the filtered gray image:
The main beaming ray can be easily seen. You can extract its angle by iterating over many lines with an increasing angle and sum the magnitude values on each line as in the following figure:
Here is the magnitude sum of each line plotted against the angle (in radian) of the line:
Based on that, you just need to find the angle that maximize the computed sum.
Here is the resulting code:
QUESTION
I am working with WSL a lot lately because I need some native UNIX tools (and emulators aren't good enough). I noticed that the speed difference when working with NPM/Yarn is incredible.
I conducted a simple test that confirmed my feelings. The test was running npx create-react-app my-test-app
and the WSL result was Done in 287.56s.
while GitBash finished with Done in 10.46s.
.
This is not the whole picture, because the perceived time was higher in both cases, but even based on that - there is a big issue somewhere. I just don't know where. The project I'm working on uses tens of libraries and changing even one of them takes minutes instead of seconds.
Is this something that I can fix? If so - where to look for clues?
Additional info:
my processor: Processor AMD Ryzen 7 5800H with Radeon Graphics, 3201 Mhz, 8 Core(s), 16 Logical Processors
I'm running Windows 11 with all the latest updates to both the system and the WSL. The chosen system is Ubuntu 20.04
I've seen some questions that are somewhat similar like 'npm install' extremely slow on Windows, but they don't touch WSL at all (and my pure Windows NPM works fast).
the issue is not limited to NPM, it's also for Yarn
another problem that I'm getting is that file watching is not happening (I need to restart the server with every change). In some applications I don't get any errors, sometimes I get the following:
...
ANSWER
Answered 2021-Aug-29 at 15:40Since you mention executing the same files (with proper performance) from within Git Bash, I'm going to make an assumption here. Correct me if I'm wrong on this, and I'll delete the answer and look for another possibility.
This would be explained (and expected) if your files are stored on /mnt/c
(a.k.a. C:
, or /C
under Git Bash) or any other Windows drive, as they would likely need to be to be accessed by Git Bash.
WSL2 uses the 9P protocol to access Windows drives, and it is currently known to be very slow when compared to:
- Native NTFS (obviously)
- The ext4 filesystem on the virtual disk used by WSL2
- And even the performance of WSL1 with Windows drives
I've seen a git clone
of a large repo (the WSL2 Linux kernel Github) take 8 minutes on WSL2 on a Windows drive, but only seconds on the root filesystem.
Two possibilities:
If possible (and it is for most Node projects), convert your WSL to version 1 with
wsl --set-version 1
. I always recommend making a backup withwsl --export
first.And since you are making a backup anyway, you may as well just create a copy of the instance by
wsl --import
ing your backup as--version 1
(as the last argument). WSL1 and WSL2 both have their uses, and you may find it helpful to keep both around.See this answer for more details on the exact syntax..
Or just move the project over to somewhere under the WSL root, such as
/home/username/src/
.
QUESTION
I'm trying to write a method that would Return true if it is possible to divide all the members of an array into two different groups of equal size so that the sum of the members of the two groups is equal. If this is not possible, the method Return false.
The conditions are:- The method should be recursive with no use of loops at all, So are all the auxiliary methods
Can not contain loops.
- The array is neither null nor empty.
- Do not modify the contents of the array (not even temporarily), and do not use an auxiliary array.
ANSWER
Answered 2022-Jan-04 at 10:30I made this code but it doesn't check all possibilities , but I think its a good start :
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install clue
Fetch sparse 0.4.1 from here: http://www.kernel.org/pub/software/devel/sparse/ Apply the supplied sparse.patch file, compile it, and install it.
Edit the supplied pmfile and change the section at the top to point at where you installed sparse’s headers and libraries.
Do: ./pm Clue will then build the compiler and the modified Lua interpreter that's used as an assembler.
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