primitives | Radix Primitives is an open-source UI component library | User Interface library

 by   radix-ui TypeScript Version: Current License: MIT

kandi X-RAY | primitives Summary

kandi X-RAY | primitives Summary

primitives is a TypeScript library typically used in User Interface, React applications. primitives has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Radix Primitives is a low-level UI component library with a focus on accessibility, customization and developer experience. You can use these components either as the base layer of your design system, or adopt them incrementally.

            kandi-support Support

              primitives has a medium active ecosystem.
              It has 10186 star(s) with 409 fork(s). There are 42 watchers for this library.
              It had no major release in the last 6 months.
              There are 171 open issues and 690 have been closed. On average issues are closed in 58 days. There are 27 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of primitives is current.

            kandi-Quality Quality

              primitives has 0 bugs and 0 code smells.

            kandi-Security Security

              primitives has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              primitives code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              primitives is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              primitives releases are not available. You will need to build from source code and install.

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            primitives Key Features

            No Key Features are available at this moment for primitives.

            primitives Examples and Code Snippets

            Print tf . print .
            pythondot img1Lines of Code : 247dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def print_v2(*inputs, **kwargs):
              """Print the specified inputs.
              A TensorFlow operator that prints the specified inputs to a desired
              output stream or logging level. The inputs may be dense or sparse Tensors,
              primitive python objects, data str  
            Sets the lowering attribute of an operation .
            pythondot img2Lines of Code : 33dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def maybe_set_lowering_attr(op, lower_using_switch_merge=None):
              """Sets the flag to enable lowering on `op` if necessary.
              Lowering allows cond_v2 and while_v2 to avoid some of the limitations of
              Functions, allowing users to specify devices &am  
            Compute primitives algorithm .
            pythondot img3Lines of Code : 28dot img3License : Permissive (MIT License)
            copy iconCopy
            def prims_algorithm(self) -> Graph:
                    Run Prim's algorithm to find the minimum spanning tree.
                    >>> graph = Graph({1,2,3,4},{(1,2):5, (1,3):10, (1  

            Community Discussions


            Crypto-js encryption and Python decryption using HKDF key
            Asked 2022-Mar-28 at 11:29

            Based on the example provided here on how to establish a shared secret and derived key between JS (Crypto-JS) and Python, I can end up with the same shared secret and derived key on both ends.

            However, when I try to encrypt as below, I cannot find a way to properly decrypt from Python. My understanding is that probably I am messing with the padding or salts and hashes.



            Answered 2022-Mar-28 at 11:29

            The issue is that the key is not passed correctly in the CryptoJS code.

            The posted Python code generates LefjQ2pEXmiy/nNZvEJ43i8hJuaAnzbA1Cbn1hOuAgA= as Base64-encoded key. This must be imported in the CryptoJS code using the Base64 encoder:



            Reactivity of primitives using reactive in Vue 3
            Asked 2022-Mar-19 at 22:05

            According to the docs, primitives shouldn't become reactive when using reactive wrapper, that's why in this case we should go with ref. The same situation is when we want to reassign the entire object instead of mutating it.

            My question is why in the following snippets counter2 and state2.counter start working correctly when we uncomment the commented lines?



            Answered 2022-Mar-19 at 13:33

            You should stick with ref to have a reactive type and even specify it as it is pointless to make an object just for the counter. You can use const counter = ref(0) as you work with value inside you don't have to use let and when accessing in the script just use counter.value and in you HTML {{ counter }}. With ref you create a reactive primitive value meanwhile by using reactive is used for creating reactive objects and it's as a replacement for data. So just use ref as it can be used for almost everything you can even create your own types and specify them. Also when working with reactive you can't swap the complete object and it can't be used for everything on the other hand ref can only downside is .value which can be annoying but in the end, it's worth it.



            Missing types, namespaces, directives, and assembly references
            Asked 2022-Feb-27 at 10:24

            I use VS Code for C# and Unity3D and TypeScript and Angular and Python programming, so I have pretty much every required extension, including the .NET Framework and Core as well as the Quantum Development Kit (QDK) plus the Q# Interoperability Tools and also C# and Python extensions for VS Code.

            I have devised the following steps to create my first quantum Hello World based on a few tutorials:



            Answered 2022-Feb-27 at 10:24

            With help from a user on another forum, it turns out the problem was the command:



            Where is `` defined?
            Asked 2022-Jan-28 at 20:28

            I've been looking for the implementation of in F#. The code in list.fs in dotnet/fsharp on GitHub delegates to a mysterious function.

            Where is the source of that function? I can't find any such directory path in the repo.



            Answered 2022-Jan-28 at 20:28


            SolidJS: For vs Index
            Asked 2022-Jan-24 at 00:37

            In their tutorial for rendering lists, they say:

            The component is provided for these cases. As a rule of thumb, when working with primitives use .


            cares about each piece of data in your array, and the position of that data can change; cares about each index in your array, and the content at each index can change.

            Neither of these sentences makes sense to me. What does "when working with primitives" mean? I am always using an Array. Could someone clarify when to use For vs Index?



            Answered 2022-Jan-24 at 00:37

            What does "when working with primitives" mean? I am always using an Array.

            It's about array elements - whether they are primitives, as in an array of strings, or objects.

            In short, if you have an array of objects, use . If you have and array of strings, and the array is short or you don't ever insert or remove elements in the middle of the array, use . Otherwise use . If you are not sure, always use .

            The difference is how the DOM is updated when array elements are changed.

            always checks if an element was in the array before the change, and moves DOM nodes to reflect the change of element position, without calling the callback to render the element (it will also invoke the index() signal if it was used in the callback to show item position, so the stuff that depends on index() will be updated in place). calls the each callback to render the changed element if the element was not previously in the array.

            So, when you insert an element in the middle of the array, the each callback is called only once - to render inserted element, and its result is inserted into DOM in place in the array, as expected.

            does not do that - it's much simpler, it just compares old and new elements at each index, and if they differ, it invokes the item() signal that was passed as parameter to the each callback. The callback itself will not be called, only the stuff inside the callback that depends on the item() signal will be updated in place. calls each callback only when new elements are added at the end of the array.

            It's also explained in the FAQ: for , the each callback received an item value and a signal for item position. For , it's the opposite - the callback receives a signal for item value, and a number for item position.

            You can try this example in the Solid playground - you can open the console to see how many times the callback is called by and :



            How can you create nominal typing for primitives without struct wrappering?
            Asked 2022-Jan-14 at 20:15

            I have two different kinds of floats, Latitude and Longitude. How can I create nominal types for these different floats such that assigning a f32 variable with a semantic meaning of Longitude to a variable with a type and semantic meaning of Latitude is an error? Can I do this without a struct wrappering the primitive type?



            Answered 2022-Jan-14 at 19:52

            Short answer based on Shepmaster's excellent answer to a related question: You can't. You have to make a struct and define converters to/from that new struct and the underlying type it supports (the converters won't go two steps, so two types compatible with f32 won't convert to each other directly).

            For example:



            F# on Visual Studio 2022 very slow
            Asked 2022-Jan-06 at 11:02

            This only applies to Visual Studio 2022. I had uninstalled VS2019 and Preview where F# worked absolutely fine (F# 5.0). I am using VS2022 to use F# 6.0 and do not want to go back to F# 5.0.

            The issue is specific to F#. I also use C# and I have no issues running the latest C# under VS2022.

            There are near continual DevEnv processes running consuming anywhere from 1 to 4 of my CPU's 4 Hyperthreads. I have switched off all experimental options I can find in F# settings.

            Sometimes there are 2 or more background processes running , sometimes paused and sometimes none - there appears to be no correlation between this and the background CPU consumption

            Sometimes I have a pop up Dialog about waiting to complete an editor process or a compile process.

            When devenev.exe is consuming CPU cycles under the properties I see there is always one clr.dllCoUnInitializeEE+0x6790 that is the culprit. I though this was meant to be a short-lived process? Sometimes there are two or three of these consuming most of a HyperThread (There are identical others but with very low or no CPU consumption). The stack on the guilty thread is as follows:



            Answered 2021-Dec-17 at 08:49

            Please report to Microsoft either using the people app in windows or the visual studio installer.

            for now, there is only one option: use visual studio 2019. or try finding alternatives. there should be somewhere around the net

            I suggest using Rider IDE instead(until the devs fix the bug):Download Rider IDE

            I'm not really trying to advertise here, just suggesting an IDE Too compile and run you rprogram.



            How to use of laziness in Scheme efficiently?
            Asked 2021-Dec-30 at 10:19

            I am trying to encode a small lambda calculus with algebraic datatypes in Scheme. I want it to use lazy evaluation, for which I tried to use the primitives delay and force. However, this has a large negative impact on the performance of evaluation: the execution time on a small test case goes up by a factor of 20x.

            While I did not expect laziness to speed up this particular test case, I did not expect a huge slowdown either. My question is thus: What is causing this huge overhead with lazy evaluation, and how can I avoid this problem while still getting lazy evaluation? I would already be happy to get within 2x the execution time of the strict version, but faster is of course always better.

            Below are the strict and lazy versions of the test case I used. The test deals with natural numbers in unary notation: it constructs a sequence of 2^24 sucs followed by a zero and then destructs the result again. The lazy version was constructed from the strict version by adding delay and force in appropriate places, and adding let-bindings to avoid forcing an argument more than once. (I also tried a version where zero and suc were strict but other functions were lazy, but this was even slower than the fully lazy version so I omitted it here.)

            I compiled both programs using compile-file in Chez Scheme 9.5 and executed the resulting .so files with petite --program. Execution time (user only) for the strict version was 0.578s, while the lazy version takes 11,891s, which is almost exactly 20x slower.

            Strict version ...


            Answered 2021-Dec-28 at 16:24

            This sounds very like a problem that crops up in Haskell from time to time. The problem is one of garbage collection.

            There are two ways that this can go. Firstly, the lazy list can be consumed as it is used, so that the amount of memory consumed is limited. Or, secondly, the lazy list can be evaluated in a way that it remains in memory all of the time, with one end of the list pinned in place because it is still being used - the garbage collector objects to this and spends a lot of time trying to deal with this situation.

            Haskell can be as fast as C, but requires the calculation to be strict for this to be possible.

            I don't entirely understand the code, but it appears to be recursively creating a longer and longer list, which is then evaluated. Do you have the tools to measure the amount of memory that the garbage collector is having to deal with, and how much time the garbage collector runs for?



            Why are signatures created with ecdsa Python library not valid with coincurve?
            Asked 2021-Dec-25 at 14:41

            I'm switching from the pure Python ecdsa library to the much faster coincurve library for signing data. I would also like to switch to coincurve for verifying the signatures (including the old signatures created by the ecdsa library).

            It appears that signatures created with ecdsa are not (always?) valid in coincurve. Could someone please explain why this is not working? Also, it seems that cryptography library is able to validate both ecdsa signatures and coincurve signatures without issues, consistently.

            What is even more confusing, if you run below script a few times, is that sometimes it prints point 3 and other times it does not. Why would coincurve only occasionally find the signature valid?



            Answered 2021-Dec-25 at 14:41

            Bitcoin and the coincurve library use canonical signatures while this is not true for the ecdsa library.

            What does canonical signature mean?
            In general, if (r,s) is a valid signature, then (r,s') := (r,-s mod n) is also a valid signature (n is the order of the base point).
            A canonical signature uses the value s' = -s mod n = n - s instead of s, i.e. the signature (r, n-s), if s > n/2, s. e.g. here.

            All signatures from the ecdsa library that were not been successfully validated by the coincurve library in your test program have an s > n/2 and thus are not canonical, whereas those that were successfully validated are canonical.

            So the fix is simply to canonize the signature of the ecdsa library, e.g.:



            Signing payload in JS (Frontend) using EC and validating in Python
            Asked 2021-Dec-18 at 11:56

            I have a Python backend that generates public/private keys, generates a payload, then needs to get that payload signed by the client (ReactJS or pure JS), which is later verified.

            The implementation in Python looks like this:




            Answered 2021-Dec-18 at 11:56

            CryptoJS only supports symmetric encryption and therefore not ECDSA. WebCrypto supports ECDSA, but not secp256k1.
            WebCrypto has the advantage that it is supported by all major browsers. Since you can use other curves according to your comment, I will describe a solution with a curve supported by WebCrypto.
            Otherwise, sjcl would also be an alternative, a pure JavaScript library that supports ECDSA and especially secp256k1,

            WebCrypto is a low level API that provides the functionality you need like key generation, key export and signing. Regarding ECDSA WebCrypto supports the curves P-256 (aka secp256r1), P-384 (aka secp384r1) and p-521 (aka secp521r1). In the following I use P-256.

            The following JavaScript code generates a key pair for P-256, exports the public key in X.509/SPKI format, DER encoded (so it can be sent to the Python site), and signs a message:


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