kandi X-RAY | Samples Summary
kandi X-RAY | Samples Summary
General samples for various Six Labors projects.
Top functions reviewed by kandi - BETA
Samples Key Features
Samples Examples and Code Snippets
Trending Discussions on Samples
I run sample JHM benchmark which suppose to show dead code elimination. Code is rewritten for conciseness from jhm github sample....
ANSWERAnswered 2022-Feb-09 at 17:17
Those samples depend on JDK internals.
Looks like since JDK 9 and JDK-8152907,
Math.log is no longer intrinsified into C2 intermediate representation. Instead, a direct call to a quick LIBM-backed stub is made. This is usually faster for the code that actually uses the result. Notice how
measureCorrect is faster in JDK 17 output in your case.
But for JMH samples, it limits the the compiler optimizations around the
Math.log, and dead code / folding samples do not work properly. The fix it to make samples that do not rely on JDK internals without a good reason, and instead use a custom written payload.
This is being done in JMH here:
After a recommendation in Android Studio to upgrade Android Gradle Plugin from 7.0.0 to 7.0.2 the Upgrade Assistant notifies that Cannot find AGP version in build files, and therefore I am not able to do the upgrade.
What shall I do?
Code at build.gradle (project)...
ANSWERAnswered 2022-Feb-06 at 03:17
I don't know if it is critical for your problem but modifying this
ANSWERAnswered 2021-Dec-30 at 12:23
toc should be fine, but it looks like the timing is being skewed by memory pre-allocation.
I can reproduce similar timings to your MATLAB example, however
On first run (
- Loop approach takes 2.08 sec
- Vectorised approach takes 1.04 sec
- Vectorisation saves 50% execution time
On second run (workspace not cleared)
- Loop approach takes 2.55 sec
- Vectorised approach takes 0.065 sec
- Vectorisation "saves" 97.5% execution time
My guess would be that since the loop approach explicitly creates a new matrix via
zeros, the memory is reallocated from scratch on every run and you don't see the speed improvement on subsequent runs.
HH remains in memory and the
HH=___ line outputs a matrix of the same size, I suspect MATLAB is doing some clever memory allocation to speed up the operation.
We can prove this theory with the following test:
sh jmeter.sh -n -t filePath.jmx -l outFilePath.jtl -e -o folderPath...
ANSWERAnswered 2021-Sep-23 at 07:18
I cannot reproduce your issue using:
If you cannot reproduce the above behaviour I think you made some changes either to Results File Configuration or to Reporting Configuration or both so you need to inspect all the JMeter Properties which differ from the defaults and restore their values to the original ones.
If you need further support you need to share at least first 2 lines of your outFilePath.jtl results file. Better if possible the full file and all the .properties files from JMeter's "bin" folder.
I am trying code from this page. I ran up to the part
LR (tf-idf) and got the similar results
After that I decided to try
GridSearchCV. My questions below:
ANSWERAnswered 2021-Dec-09 at 23:12
You end up with the error with precision because some of your penalization is too strong for this model, if you check the results, you get 0 for f1 score when C = 0.001 and C = 0.01
I've installed Windows 10 21H2 on both my desktop (AMD 5950X system with RTX3080) and my laptop (Dell XPS 9560 with i7-7700HQ and GTX1050) following the instructions on https://docs.nvidia.com/cuda/wsl-user-guide/index.html:
- Install CUDA-capable driver in Windows
- Update WSL2 kernel in PowerShell:
- Install CUDA toolkit in Ubuntu 20.04 in WSL2 (Note that you don't install a CUDA driver in WSL2, the instructions explicitly tell that the CUDA driver should not be installed.):
ANSWERAnswered 2021-Nov-18 at 19:20
Turns out that Windows 10 Update Assistant incorrectly reported it upgraded my OS to 21H2 on my laptop.
Checking Windows version by running
winver reports that my OS is still 21H1.
Of course CUDA in WSL2 will not work in Windows 10 without 21H2.
After successfully installing 21H2 I can confirm CUDA works with WSL2 even for laptops with Optimus NVIDIA cards.
I am trying to extend RecognitionService to try out different Speech to Text services other than given by google. In order to check if SpeechRecognizer initializes correctly dummy implementations are given now. I get "RecognitionService: call for recognition service without RECORD_AUDIO permissions" when below check is done inside RecognitionService#checkPermissions()....
ANSWERAnswered 2021-Oct-04 at 03:25
As mentioned in the comments above, it was resolved after moved the service to run on a separate process (by specifying service with android:process in manifest)
I'm trying to import compose sample projects, but I'm facing this error:...
ANSWERAnswered 2021-Jun-15 at 15:23
I am trying to divide merged information from one cell into separate cells.
one cell:amount:2 price:253,18 price2:59,24 EU status:WBB NAS MRR OWA PXA min:1 opt:3 category: PNE code z:195750
divided data: (I want to export each part into another cell)amount:2 price:253,18 price2:59,24 EU status:WBB NAS MRR OWA PXA min:1 opt:3 category: PNE code z:195750
I can't simply divide by finding empty space, status cell which is case-sensitive | status:WBB NAS MRR OWA PXA| has a different data range with spaces that can't be divided.
Split ( expression [,delimiter] [,limit] [,compare] )...
ANSWERAnswered 2021-May-24 at 11:44
As the order is the same one way is to simply search for adjacent key names & parse out whats in-between:
I have some high dimensional repeated measures data, and i am interested in fitting random forest model to investigate the suitability and predictive utility of such models. Specifically i am trying to implement the methods in the
LongituRF package. The methods behind this package are detailed here :
Conveniently the authors provide some useful data generating functions for testing. So we have...
ANSWERAnswered 2021-Apr-09 at 14:46
When the function
Z, it's a random uniform data in a matrix. The actual coding is
No vulnerabilities reported
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