mutandis | JavaScript Mutation Testing | Code Analyzer library

 by   saltlab Java Version: Current License: No License

kandi X-RAY | mutandis Summary

kandi X-RAY | mutandis Summary

mutandis is a Java library typically used in Code Quality, Code Analyzer applications. mutandis has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Mutandis is a JavaScript mutation testing tool that leverages static and dynamic program analysis to guide the mutation generation process towards parts of the code that are error-prone or likely to influence the program’s output.
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            kandi-support Support

              mutandis has a low active ecosystem.
              It has 52 star(s) with 4 fork(s). There are 25 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 1 have been closed. On average issues are closed in 56 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of mutandis is current.

            kandi-Quality Quality

              mutandis has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              mutandis does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              mutandis releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              mutandis saves you 3570 person hours of effort in developing the same functionality from scratch.
              It has 7636 lines of code, 448 functions and 46 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed mutandis and discovered the below as its top functions. This is intended to give you an instant insight into mutandis implemented functionality, and help decide if they suit your requirements.
            • Visit the node
            • Append a node to a block
            • Appends an ElemGetNode to the end of the tree
            • Utility method for Transformer
            • Recursive search for namespaces in the given node
            • Main entry point for debugging
            • Exclude default defaults
            • Visit an AST node
            • Adds a node to the variable map
            • Visits a function call
            • Assigns a node to a specific code type
            • Start scanning in varargs file
            • Processes the execution trace
            • Retrieves the execution trace from the web browser
            • Saves the execution trace as JSON
            • Retrieves the instrumentation trace from the web browser
            • Create a function type name for the caller function
            • Gets the function rank map
            • Makes sure that the given node is inside a block
            • Visit a function node
            • Main method of the test runner
            • Extracts the varars from the invars
            • Create a node representing the call to the caller
            • Add an edge to the graph
            • Append a node after a function call to the function call
            • Modifies the response to be modified
            Get all kandi verified functions for this library.

            mutandis Key Features

            No Key Features are available at this moment for mutandis.

            mutandis Examples and Code Snippets

            No Code Snippets are available at this moment for mutandis.

            Community Discussions

            QUESTION

            Key wrapping with an ECDH public key?
            Asked 2019-Oct-08 at 05:36

            Preface: I don't know whether it's more appropriate to ask this question here or on the Crypto site. Feel free to move or delete or whatever the appropriate SE action is.

            I've been asked to help update some encryption software. Broadly speaking, the software already does the following steps, none of which are particularly unusual. I've left out the error handling and Provider arguments for simplicity of posting:

            1) Generates a random symmetric secret key for use with AES-128 (or AES-256, mutatis mutandis):

            ...

            ANSWER

            Answered 2019-Oct-08 at 05:36

            RSA is an algorithm (or depending on how you look at it, two very similar but distinct algorithms) for encryption and signature. RSA encryption can encrypt dat which is a (lower-level) key, in which case it is called wrapping.

            DH is a key agreement algorithm, in both its classical (aka integer, Zp, modp, or finite-field/FF) form and its elliptic-curve form (ECDH). Note that at least for classic DH the raw agreement value g^a^b mod n = g^b^a mod n has enough mathematical structure people aren't comfortable using it directly as a key, so we run it through a key derivation function, abbreviated KDF. It's not clear to me that ECDH values really need KDF, at least for the commonly used X9/NIST curves including P384 (you might look or ask on crypto.SX if you care), but using a KDF is cheap and well-established so we do so.

            I've never heard anyone competent call (EC)DH key transport, because it is specifically NOT. It is included in key exchange, a term created to cover the (useful) union of transport and agreement.

            You can create an encryption scheme using (EC)DH by using the agreed (and derived) value as the key for symmetric encryption -- and that is (EC)IES. I don't know what made you think IES is something else. Modern practice is that the symmetric encryption should be authenticated, and the standardized forms of IES as a separate scheme use CBC encryption with HMAC authentication, although you could validly design a scheme that uses e.g. GCM instead.

            As you saw, the BouncyCastle provider provides implementations of DH (classic) or EC IES "with{AES,DESEDE}-CBC" (in versions before 1.56 the -CBC was sometimes omitted) which use KDF2 from P1363a with SHA1, the indicated CBC cipher, and HMAC-SHA1. The 'standard' (Sun/Oracle/Open) providers do not, but you can combine the raw agreement operation, the KDF, plus symmetric encryption and MAC to produce the same result.

            This is similar (though different in some details) to the operation of CMS-formerly-PKCS7 with classic DH and ECDH and PGP with ECDH. (PGP does not support classic DH; it used ElGamal encryption instead as the alternative to RSA.) Not to mention TLS (sometimes through 1.2, always in 1.3) and SSH which use either classic or EC DH 'exchange' (here interactive, and usually ephemeral-ephemeral instead of having at least the receiver static) to produce a secret which is derived and used as key material for symmetric encryption with authentication of the data.

            Source https://stackoverflow.com/questions/58276562

            QUESTION

            Event handling at calling a third party 32-bit dll from a 64-bit c# WinForms application
            Asked 2019-Apr-10 at 12:57

            We have an old 32-bit Visual Studio C# Windows Forms solution, which we want to compile from now on, in 64-bit. Unfortunately, our application uses some external dll-s (for scanners, cameras and so on) which are available only in 32-bit version. Accessing 32-bit DLLs from 64-bit code isn't straightforward, especially, when we want to handle also the events raised by those dll-s. Our knowledge at this area is unsufficient for creating an implementation based on this article, so we are looking for more detailed instructions or examples.

            Our first attempt was based on this article. We wrapped the third party dll-s into a late bound 32-bit COM server and we used it from our 64-bit application as described here (mutatis mutandis, because we had to swap the roles of 32-bit and 64-bit). This attempt was successful, but incomplete, because this solution doesn't deliver the events from the COM server to the 64-bit client. So we started focusing on the events. We found a lot of articles and examples dealing with consuming events raised by the COM object, but none of them provides a complete solution for us. One part of the sources deals exclusively with the client, or exclusively with the server, but they are incompatible with each other, or with our environment (WinForm, c#).

            For example,

            1. this answer tells us how to make a COM server which exposes .NET events to a VBA client, but I don't know how to use it from a c# client.
            2. In contrast this article gives a good working c# client for an existing COM server, but doesn't tell, how to make such a COM server (this COM server is visibly different from the previous example)
            3. this answer doesn't tell any details of the solution.
            4. This article is for c++ instead of c#.
            5. This answer refers to this article, but the latter uses again a VB client instead of c#.
            6. This article mixes different things in an untraceable manner.

            Perhaps some of these can be used by us with some effort, but which and how?

            Edit

            Now I tend to create a hybrid solution: My newest idea for the backward communication from the 32-bit COM object to the caller 64-bit application is to put a Named Pipe server into the 64-bit application and a Named Pipe client into the COM object and every time when an event is raised in the COM object, it sends a Named Pipe message to the Named Pipe server. The code I found for this is available here (projects CSNamedPipeServer and CSNamedPipeClient).

            ...

            ANSWER

            Answered 2019-Apr-09 at 11:36

            Here is a sample with a 64-bit server, implemented as a C# class in a class library project, hosted by Windows' system surrogate: dllhost.

            This is the class code (you can compile as 'any cpu', no need to compile as x64):

            Source https://stackoverflow.com/questions/55577836

            QUESTION

            How to add html i tag to sub-strings that matched the elements of the array if they don't already have the tag
            Asked 2018-Jun-13 at 05:22

            I want to add html i tag to substring in a string to those matched to the element of the array. If the matched substring has i tag then don't add else add. here's my sample code.

            ...

            ANSWER

            Answered 2018-Jun-13 at 05:22

            The main problem when replacing from a list are partial duplicates:

            For example, you have "De minimis" and "De minimis non curat lex"

            In a text like :

            Source https://stackoverflow.com/questions/50828972

            QUESTION

            How can I obtain consistently high throughput in this loop?
            Asked 2018-Feb-26 at 08:09

            In the course of optimising an inner loop I have come across strange performance behaviour that I'm having trouble understanding and correcting.

            A pared-down version of the code follows; roughly speaking there is one gigantic array which is divided up into 16 word chunks, and I simply add up the number of leading zeroes of the words in each chunk. (In reality I'm using the popcnt code from Dan Luu, but here I picked a simpler instruction with similar performance characteristics for "brevity". Dan Luu's code is based on an answer to this SO question which, while it has tantalisingly similar strange results, does not seem to answer my questions here.)

            ...

            ANSWER

            Answered 2018-Feb-26 at 08:09

            The slightly peculiar thing about the code above is that the first and second times I call the clz_arrays function it is on uninitialised memory

            Uninitialized memory that malloc gets from the kernel with mmap is all initially copy-on-write mapped to the same physical page of all zeros.

            So you get TLB misses but not cache misses. If it used a 4k page, then you get L1D hits. If it used a 2M hugepage, then you only get L3 (LLC) hits, but that's still significantly better bandwidth than DRAM.

            Single-core memory bandwidth is often limited by max_concurrency / latency, and often can't saturate DRAM bandwidth. (See Why is Skylake so much better than Broadwell-E for single-threaded memory throughput?, and the "latency-bound platforms" section of this answer for more about this in; it's much worse on many-core Xeon chips than on quad-core desktop/laptops.)

            Your first warm-up run will suffer from page faults as well as TLB misses. Also, on a kernel with Meltdown mitigation enabled, any system call will flush the whole TLB. If you were adding extra print_stats to show the warm-up run performance, that would have made the run after slower.

            You might want to loop multiple times over the same memory inside a timing run, so you don't need so many page-walks from touching so much virtual address space.

            clock() is not a great way to measure performance. It records time in seconds, not CPU core clock cycles. If you run your benchmark long enough, you don't need really high precision, but you would need to control for CPU frequency to get accurate results. Calling clock() probably results in a system call, which (with Meltdown and Spectre mitigation enabled) flushes TLBs and branch-prediction. It may be slow enough for Skylake to clock back down from max turbo. You don't do any warm-up work after that, and of course you can't because anything after the first clock() is inside the timed interval.

            Something based on wall-clock time which can use RDTSC as a timesource instead of switching to kernel mode (like gettimeofday()) would be lower overhead, although then you'd be measuring wall-clock time instead of CPU time. That's basically equivalent if the machine is otherwise idle so your process doesn't get descheduled.

            For something that wasn't memory-bound, CPU performance counters to count core clock cycles can be very accurate, and without the inconvenience of having to control for CPU frequency. (Although these days you don't have to reboot to temporarily disable turbo and set the governor to performance.)

            But with memory-bound stuff, changing core frequency changes the ratio of core to memory, making memory faster or slower relative to the CPU.

            Source https://stackoverflow.com/questions/48981887

            QUESTION

            How can I count across several relationships in django
            Asked 2017-Apr-26 at 12:48

            For a small project I have a registry of matches and results. Every match is between teams (could be a single player team), and has a winner. So I have Match and Team models, joined by a MatchTeam model. This looks like so (simplified)see below for notes

            ...

            ANSWER

            Answered 2017-Apr-20 at 13:02

            Funny problem ! I think I have the answer (get the team that beats yourteams the most):

            Source https://stackoverflow.com/questions/43448446

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install mutandis

            You can download it from GitHub.
            You can use mutandis like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the mutandis component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/saltlab/mutandis.git

          • CLI

            gh repo clone saltlab/mutandis

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            git@github.com:saltlab/mutandis.git

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