samples | Windows 10 IoT Core Samples

 by   ms-iot C Version: AllJoynExplorer_1.0.11 License: MIT

kandi X-RAY | samples Summary

kandi X-RAY | samples Summary

samples is a C library. samples has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

The code in this repository has moved to Please use the new repository for retrieving Windows 10 IoT Core sample code and submitting your issues and pull requests.
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              samples has a medium active ecosystem.
              It has 1198 star(s) with 1375 fork(s). There are 291 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 23 open issues and 128 have been closed. On average issues are closed in 82 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of samples is AllJoynExplorer_1.0.11

            kandi-Quality Quality

              samples has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              samples 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

              samples releases are available to install and integrate.

            Top functions reviewed by kandi - BETA

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of samples
            Get all kandi verified functions for this library.

            samples Key Features

            No Key Features are available at this moment for samples.

            samples Examples and Code Snippets

            Samples a bounding box from bounding boxes .
            pythondot img1Lines of Code : 122dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def sample_distorted_bounding_box_v2(image_size,
                                                 bounding_boxes,
                                                 seed=0,
                                                 min_object_covered=0.1,
                                                 aspec  
            Samples a bounding box .
            pythondot img2Lines of Code : 116dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def sample_distorted_bounding_box(image_size,
                                              bounding_boxes,
                                              seed=None,
                                              seed2=None,
                                              min_object_covered=0.1,
                   
            Linearly spaced samples .
            pythondot img3Lines of Code : 41dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def linspace(  # pylint: disable=missing-docstring
                start,
                stop,
                num=50,
                endpoint=True,
                retstep=False,
                dtype=float,
                axis=0):
              if dtype:
                dtype = np_utils.result_type(dtype)
              start = np_array_ops.array(start, dtype=dtyp  

            Community Discussions

            QUESTION

            JMH using java 17, no dead code elimination
            Asked 2022-Feb-09 at 17:17

            I run sample JHM benchmark which suppose to show dead code elimination. Code is rewritten for conciseness from jhm github sample.

            ...

            ANSWER

            Answered 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:

            Source https://stackoverflow.com/questions/71044636

            QUESTION

            Project update recommended: Android Gradle Plugin can be upgraded. Error message: Can not find AGP version in build files
            Asked 2022-Feb-06 at 03:17

            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?

            Thanks

            Code at build.gradle (project)

            ...

            ANSWER

            Answered 2022-Feb-06 at 03:17

            I don't know if it is critical for your problem but modifying this

            Source https://stackoverflow.com/questions/69307474

            QUESTION

            Is the timing of MATLAB reliable? If yes, can we reproduce the performance with julia, fortran, etc.?
            Asked 2022-Jan-05 at 08:26

            Originally this is a problem coming up in mathematica.SE, but since multiple programming languages have involved in the discussion, I think it's better to rephrase it a bit and post it here.

            In short, michalkvasnicka found that in the following MATLAB sample

            ...

            ANSWER

            Answered 2021-Dec-30 at 12:23

            tic/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 (clear workspace)

              • 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.

            However, when 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:

            Source https://stackoverflow.com/questions/70531385

            QUESTION

            Error while generating report in apache-jmeter-5.4.1.tgz
            Asked 2021-Dec-31 at 08:56

            sh jmeter.sh -n -t filePath.jmx -l outFilePath.jtl -e -o folderPath

            ...

            ANSWER

            Answered 2021-Sep-23 at 07:18

            I cannot reproduce your issue using:

            1. openjdk:8-jre-alpine docker image
            2. JMeter 5.4.1
            3. Test plan Test.jmx from extras folder of JMeter

            Demo:

            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.

            Source https://stackoverflow.com/questions/69294826

            QUESTION

            logistic regression and GridSearchCV using python sklearn
            Asked 2021-Dec-10 at 14:14

            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:

            1)

            ...

            ANSWER

            Answered 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

            Source https://stackoverflow.com/questions/70264157

            QUESTION

            Why does nvidia-smi return "GPU access blocked by the operating system" in WSL2 under Windows 10 21H2
            Asked 2021-Nov-18 at 19:20
            Installing CUDA on WSL2

            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:

            1. Install CUDA-capable driver in Windows
            2. Update WSL2 kernel in PowerShell: wsl --update
            3. 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.):
            ...

            ANSWER

            Answered 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.

            Source https://stackoverflow.com/questions/70011494

            QUESTION

            RecognitionService: call for recognition service without RECORD_AUDIO permissions; extending RecognitionService
            Asked 2021-Oct-04 at 03:25

            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().

            ...

            ANSWER

            Answered 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)

            Source https://stackoverflow.com/questions/69186724

            QUESTION

            Import compose sample projects to android studio version 4.2
            Asked 2021-Jun-15 at 15:23

            I'm trying to import compose sample projects, but I'm facing this error:

            ...

            ANSWER

            Answered 2021-Jun-15 at 15:23

            The version 202.7660.26.42.7322048 is

            Source https://stackoverflow.com/questions/67447249

            QUESTION

            Split Function - divide cell by string
            Asked 2021-Jun-15 at 15:00

            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] )

            ...

            ANSWER

            Answered 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:

            Source https://stackoverflow.com/questions/67670930

            QUESTION

            Implementing Longitudinal Random Forest with LongituRF package in R
            Asked 2021-Jun-09 at 21:44

            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 :

            Capitaine, L., et al. Random forests for high-dimensional longitudinal data. Stat Methods Med Res (2020) doi:10.1177/0962280220946080.

            Conveniently the authors provide some useful data generating functions for testing. So we have

            ...

            ANSWER

            Answered 2021-Apr-09 at 14:46

            When the function DataLongGenerator() creates Z, it's a random uniform data in a matrix. The actual coding is

            Source https://stackoverflow.com/questions/66188123

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

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            You can download it from GitHub.

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