mutandis | JavaScript Mutation Testing | Code Analyzer library
kandi X-RAY | mutandis Summary
kandi X-RAY | mutandis Summary
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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Top functions reviewed by kandi - BETA
- 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
mutandis Key Features
mutandis Examples and Code Snippets
Community Discussions
Trending Discussions on mutandis
QUESTION
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 05:36RSA 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.
QUESTION
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,
- 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.
- 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)
- this answer doesn't tell any details of the solution.
- This article is for c++ instead of c#.
- This answer refers to this article, but the latter uses again a VB client instead of c#.
- 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 11:36Here 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):
QUESTION
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 05:22The 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 :
QUESTION
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 08:09The 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.
QUESTION
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 13:02Funny problem ! I think I have the answer (get the team that beats yourteams
the most):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mutandis
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 .
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