noisy_units | Codes for the Noisy Activation Functions '' paper | Code Coverage Tools library

 by   caglar Python Version: Current License: No License

kandi X-RAY | noisy_units Summary

kandi X-RAY | noisy_units Summary

noisy_units is a Python library typically used in Code Quality, Code Coverage Tools, Deep Learning, Pytorch applications. noisy_units has no bugs, it has no vulnerabilities and it has low support. However noisy_units build file is not available. You can download it from GitHub.

Codes for the "Noisy Activation Functions" paper.
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            kandi-support Support

              noisy_units has a low active ecosystem.
              It has 15 star(s) with 8 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              noisy_units has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of noisy_units is current.

            kandi-Quality Quality

              noisy_units has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              noisy_units 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

              noisy_units releases are not available. You will need to build from source code and install.
              noisy_units has no build file. You will be need to create the build yourself to build the component from source.
              noisy_units saves you 174 person hours of effort in developing the same functionality from scratch.
              It has 430 lines of code, 41 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed noisy_units and discovered the below as its top functions. This is intended to give you an instant insight into noisy_units implemented functionality, and help decide if they suit your requirements.
            • Calculate the tanh p .
            • Sigmoid transformation .
            • Calculate NTAN using NTanh
            • Sigmoid p .
            • Sigmoid Pinp .
            • Computes the NTAN H .
            • NReLU activation function
            • NHardSigmoid .
            • N hard tanh
            • NHardTanh .
            Get all kandi verified functions for this library.

            noisy_units Key Features

            No Key Features are available at this moment for noisy_units.

            noisy_units Examples and Code Snippets

            No Code Snippets are available at this moment for noisy_units.

            Community Discussions

            QUESTION

            Why is CodeCoverage.exe producing near empty .coverage Files?
            Asked 2022-Mar-25 at 19:29

            In our Jenkins pipeline, we use SonarQube to report on our code coverage. After running all of our unit/integration tests to produce the .coverage file, we need to analyze this file to create the ".coverage.coveragexml" which is ultimately what is used by SonarQube to interpret the code coverage. We do this by using the CodeCoverage.exe:

            ...

            ANSWER

            Answered 2022-Mar-25 at 19:29

            It seems the base image we use must have a non-enterprise edition of the Code Coverage tools (which is a requirement). We tested our SonarQube projects commands locally using an enterprise edition of the tools (I have Visual Studio 2022 Enterprise installed on my machine), and the coverage files produced contain the correct data. However, when we used a Visual Studio Professional install, the files are empty just like our Jenkins pipeline.

            As stated, this started happening when the base image was updated - in particular it was around November 8th 2021. It seems the base docker image we were using (mcr.microsoft.com/dotnet/framework/sdk:4.8-20220210-windowsservercore-ltsc2019) has the latest 2022 tools, but it must not be an enterprise edition - hence the empty files.

            We switched our pipeline over to using dotCover instead to perform the analysis, which works as expected and our SonarQube coverage is back to normal.

            Source https://stackoverflow.com/questions/71587878

            QUESTION

            GitLab Docker Runner to reuse installed software layers
            Asked 2020-Jan-29 at 15:42

            A very typical scenario with GitLab CI is to install a few packages you need for your jobs (linters, code coverage tools, deployment-specific helpers and so on) and to then run your actual stages/steps of a building, testing and deploying your software.

            The Docker runner is a very neat and clean solution, but it seems very wasteful to always run the steps that install the base software. Normally, Docker is able to cache such layers, but with the way the GitLab Docker runner works, that doesn't happen.

            Do we realize that setting up another project to produce pre-configured Docker images would be one solution, but are there any better ones? Basically, what we want to say is: "If the before section hasn't changed, you can reuse the image from last time, no need to reinstall wget or whatever".

            Any solution like that out there?

            ...

            ANSWER

            Answered 2020-Jan-29 at 14:23

            You can use the registry of your gitlab project.

            eg.

            Source https://stackoverflow.com/questions/59964671

            QUESTION

            Convert the last generated .Coverage into coveragexml for SonarQubee in TFS 2017
            Asked 2020-Jan-29 at 09:54

            I am using .Net Core Test --collect "Code coverage" to generate a coverage file, I need to convert this for sonarqube, the issue is I do not nave the name of the file thats generated as its placed in a folder with a guid name and the file name itself is a GUID all under the TestResults folder

            The following script works to convert .coverage files into coveragexml, but its for the whole working directory

            ...

            ANSWER

            Answered 2020-Jan-29 at 09:52

            So you want to take only the last created code coverage file, you can filter the Get-ChiledItem results to get the last one:

            Source https://stackoverflow.com/questions/59962345

            QUESTION

            Making assertions from non-test-case classes
            Asked 2020-Jan-16 at 02:47
            Background

            I have a rails model that contains an ActiveRecord::Enum. I have a view helper that takes a value of this enum, and returns one of several possible responses. Suppose the cases were called enum_cases, for example:

            ...

            ANSWER

            Answered 2020-Jan-16 at 01:36

            enum_cases must be kept up to date when the production logic changes violating the DRY principle. This makes it more likely for there to be a mistake. Furthermore it is test code living in production, another red flag.

            We can solve this by refactoring the case into a Hash lookup making it data driven. And also giving it a name describing what it's associated with and what it does, these are "handlers". I've also turned it into a method call making it easier to access and which will bear fruit later.

            Source https://stackoverflow.com/questions/59761298

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

            Vulnerabilities

            No vulnerabilities reported

            Install noisy_units

            You can download it from GitHub.
            You can use noisy_units like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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

            https://github.com/caglar/noisy_units.git

          • CLI

            gh repo clone caglar/noisy_units

          • sshUrl

            git@github.com:caglar/noisy_units.git

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