porcupine | A fast linearizability checker written in Go 🔎 | Security library
kandi X-RAY | porcupine Summary
kandi X-RAY | porcupine Summary
Porcupine is a fast linearizability checker for testing the correctness of distributed systems. It takes a sequential specification as executable Go code, along with a concurrent history, and it determines whether the history is linearizable with respect to the sequential specification. Porcupine also implements a visualizer for histories and linearization points. (click for interactive version). Porcupine implements the algorithm described in Faster linearizability checking via P-compositionality, an optimization of the algorithm described in Testing for Linearizability. Porcupine is faster and can handle more histories than Knossos's linearizability checker. Testing on the data in test_data/jepsen/, Porcupine is generally 1,000x-10,000x faster and has a much smaller memory footprint. On histories where it can take advantage of P-compositionality, Porcupine can be millions of times faster.
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Community Discussions
Trending Discussions on porcupine
QUESTION
I've a Tabview
along with a list of azlist scrollable bar
. When scrolling through the azlist bar
, the TabView
moves along easily trying to slide to another Tab
. I want the TabView
to be stay put during scrolling of the azlist scrollable bar
. Is there a way to prevent this behavior for TabView
? I've tried declare a CustomScrollPhysic
but it just didn't work the way I want it to be.
Below are attached gif & code for it.
import this in pubspec
...ANSWER
Answered 2022-Mar-11 at 05:03I have a very similar page: two tabs both containing alphabet lists and the scrolling are working well.
I do not have a CustomScrollPhysics on my widgets, but use a TabController.
QUESTION
I'm currently trying to build a voice assistant with Python when I ran into a problem. I'm using porcupine/picovoice for wakeword detection and then I call a function that recognizes everything I say as soon as I call it.
This is the function:
...ANSWER
Answered 2022-Mar-04 at 22:46I'm working on a similar task and running into the same issue. I've found that the solution is to avoid using two different means of recording audio.
The PvRecorder class represents the recorded data as signed integers.
QUESTION
I m using pvporcupine python SDK for picovoice for hot word detection, while using the below code I'm getting runtime error
...ANSWER
Answered 2022-Jan-27 at 19:47Well I contacted the official repository of picovoice and here I mentioned them what clearly was going on. So anyone still facing it , then here is the solution for such behaviour https://github.com/Picovoice/porcupine/issues/617 Thanks!
QUESTION
I am trying to use the library Porcupine on Android. I have now downloaded a Rhino context file (.rhn) but can't find a way how to implement that file into my code.
The documentation says that I should use setContextPath()
but this gives me the error:
Cannot resolve method 'setContextPath' in 'Builder'
That's how I tried it:
...ANSWER
Answered 2021-Dec-17 at 20:41In the sample code from the link you provide, this method is called on different class:
QUESTION
I have compiled CLIPS 6.4 into a shared library (compiled as C++) so that I can use in a C++ application.
I want to now write a simple test C++ application that allows me to:
- Start up the CLIPS engine
- Load a CLIPS program (see animal.clp)
- Assert a fact from the C++ program to the CLIPS engine and receive responses back from CLIPS in my C++ program
- Safely terminate the CLIPS engine and cleanup when nothing on the agenda (all rules fired) - i.e. program completed
ANSWER
Answered 2021-Oct-14 at 20:09The CLIPS Advanced Programming Guide is here: http://clipsrules.sourceforge.net/documentation/v640/apg.pdf
You can use the Load function (section 3.2.2) to load a file. There is an example of its use in section 3.6.1.
You can use the GetNextActivation function (section 12.7.1) to determine if the agenda has any activations.
The simplest way to create facts is using the AssertString function (section 3.3.1). Sections 3.6.2, 4.5.4, and 5.3 have an example use of this function. You can also use the FactBuilder functions described in section 7.1 (with an example in section 7.6.1).
If the results of your program running are represented by facts, you can use the fact query functions via the Eval function to retrieve those values from your program. Section 4.5.4 has an example.
QUESTION
Java 8 here. I have an array of Strings:
...ANSWER
Answered 2021-Jul-01 at 15:37The stream returned by Arrays.stream(animals)
is of type Stream
, while you are reducing the stream with an identity of zero which is an int
.
A simple way of doing this is mapping each animal to its count, and reduce the resulting Stream
to its sum:
QUESTION
Given a set of any # of vectors:
...ANSWER
Answered 2021-Jan-28 at 19:58By first converting your vectors into a list l <- list(a = a, b = b, c = c, d = d, e = e, f = f)
In base R you can use lapply
:
QUESTION
I have created a discord bot using discord.js and am attempting to implement basic voice capabilities using porcupine.
I have a stream of audio per user and am trying to use the process(frame) method in porcupine on each chunk of data.
In order to get the data single channel and sample rate 16k I am manually decoding the stream using prism-media opus decoder then trying to pass in the chunks:
ANSWER
Answered 2020-Sep-23 at 00:23I ended up getting this working by using some of the code included in this demo file.
We include a chunkArray function:
QUESTION
I am trying to run a zero-inflated negative binomial GLMM with glmmTMB
; however I am getting NA
s in the z
and p
values of my model summary output. I am not sure what the cause is; I have followed the vignette and online help, but I think there must be an issue with my data and the technique I am trying to use.
My data is similar to the Salamanders
example used in the supporting documentation: a negative binomial distribution, zero inflated, with the same data structure.
Where is the issue? Is this data suitable for using family = nbinom2
?
data:
...ANSWER
Answered 2020-Jun-07 at 01:00The first clue is the warning
Model convergence problem; non-positive-definite Hessian matrix. See vignette('troubleshooting')
This means the model hasn't converged, or doesn't think it has, to a solution where the log-likelihood surface is downward-curved (i.e., a true maximum). That's why the standard errors can't be calculated (if you did the usual calculation they'd come out negative or complex). The log-likelihood could be calculated, but the model fit is suspect so glmmTMB returns NA
instead.
Next question: why? Sometimes this is mysterious and hard to diagnose, but in this case we have a good clue: when you see extreme parameter values (e.g. |beta|>10) in a (non-identity link) GLM, it almost always means that some form of complete separation is occurring. That is, there are some combinations of covariates (e.g. Keyword_1
==Lesser Mouse-deer
) where you always have zero counts. On the log scale, this means the density is infinitely lower than covariate combinations where you have a positive mean. The parameter is about -16, which corresponds to an expected multiplicative density difference of exp(-16) = 1e-07
. This isn't infinitesimal, but it's small enough that glmmTMB gets small enough differences in the log-likelihood that the optimizer stops. However, since the likelihood surface is almost flat, it can't compute curvature etc..
You could lump together or drop categories or do some form of regularization (e.g. see here or here ...); it might also make some sense to treat your Keyword_1
variable as a random effect, which would also have the effect of regularizing the estimates.
QUESTION
I have displayed the
are jumping on to a new column, but the
- doesn't expand with
width - causing an overflowing effect. ...
display: flex;
. The
ANSWER
Answered 2020-Apr-29 at 09:32I'm not sure if I understand the question correctly, but maybe the problem is because of the absolute
positioning of those ul
-s. You cannot expect elements with position: absolute
to push the elements around them as they grow.
Try with position: relative
.
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