processing-sc | Processing library to interface with the SuperCollider | Speech library

 by   ideoforms Java Version: Current License: No License

kandi X-RAY | processing-sc Summary

kandi X-RAY | processing-sc Summary

processing-sc is a Java library typically used in Artificial Intelligence, Speech applications. processing-sc has no bugs, it has no vulnerabilities and it has low support. However processing-sc build file is not available. You can download it from GitHub.

A Processing library to interface with the SuperCollider synthesis engine.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              processing-sc has a low active ecosystem.
              It has 22 star(s) with 2 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 1154 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of processing-sc is current.

            kandi-Quality Quality

              processing-sc has no bugs reported.

            kandi-Security Security

              processing-sc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              processing-sc 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

              processing-sc releases are not available. You will need to build from source code and install.
              processing-sc has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed processing-sc and discovered the below as its top functions. This is intended to give you an instant insight into processing-sc implemented functionality, and help decide if they suit your requirements.
            • Handles an OCS event
            • From interface ByteBuffer
            • From interface Base64
            • From interface b_info
            • Blocking get
            • Add a response set to the response
            • Performs an outgoing request
            • Add a response set to the response
            • Sets the value of this frame
            • Performs an operation on the server
            • Add a responder
            • Send a GET request to the server
            • Add a responder response setter
            • Sets a set of frames
            • Fills the inbox
            • From interface getM_response
            • Set n values
            • Sends a getM message
            • Sets the value of the argument
            • Create a new node
            • Creates a new instance
            Get all kandi verified functions for this library.

            processing-sc Key Features

            No Key Features are available at this moment for processing-sc.

            processing-sc Examples and Code Snippets

            No Code Snippets are available at this moment for processing-sc.

            Community Discussions

            QUESTION

            SparkSession does not exist
            Asked 2019-Apr-02 at 15:11

            I'm trying to define a udf in Spark 2.3.0 using Scala 2.11.12. It seems to me that I need to use SparkSession.udf() to be able to do this, from reading the docs.

            But I can't import this object,

            ...

            ANSWER

            Answered 2019-Apr-02 at 15:11

            You must include spark sql dependence:

            Source https://stackoverflow.com/questions/55477860

            QUESTION

            How to apply executor.map to for loop without a function?
            Asked 2018-Aug-23 at 13:21

            I have a list of xml and a for loop that flattens the xml into a pandas dataframe.

            The for loop works perfectly fine but is taking very long to flatten the xml, which is getting larger as time goes on.

            How do I wrap the below for-loop in executor.map to spread the work load among different cores? I am following this article https://medium.com/@ageitgey/quick-tip-speed-up-your-python-data-processing-scripts-with-process-pools-cf275350163a

            for loop to flatten xml:

            ...

            ANSWER

            Answered 2018-Aug-23 at 13:21

            Yes, you do need to transform the loop into a function. The function has to be able to take in just one argument. That one argument could be anything such as a list,tuple,dictionary or whatever. Functions with multiple parameters are a little complex to put into the concurrent.futures.*Executor methods.

            This example below should work for you.

            Source https://stackoverflow.com/questions/51932585

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

            Vulnerabilities

            No vulnerabilities reported

            Install processing-sc

            You can download it from GitHub.
            You can use processing-sc 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 processing-sc 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 .

            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/ideoforms/processing-sc.git

          • CLI

            gh repo clone ideoforms/processing-sc

          • sshUrl

            git@github.com:ideoforms/processing-sc.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link