rift-python | Routing In Fat Trees implementation in Python

 by   brunorijsman Python Version: Current License: Apache-2.0

X-RayKey FeaturesCode SnippetsCommunity Discussions(2)VulnerabilitiesInstallSupport

kandi X-RAY | rift-python Summary

kandi X-RAY | rift-python Summary

rift-python is a Python library. rift-python has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However rift-python build file is not available. You can download it from GitHub.

Routing In Fat Trees (RIFT) implementation in Python
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            kandi-support Support

              rift-python has a low active ecosystem.
              It has 35 star(s) with 18 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 60 open issues and 11 have been closed. On average issues are closed in 32 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of rift-python is current.

            kandi-Quality Quality

              rift-python has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              rift-python is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              rift-python releases are not available. You will need to build from source code and install.
              rift-python has no build file. You will be need to create the build yourself to build the component from source.
              rift-python saves you 11490 person hours of effort in developing the same functionality from scratch.
              It has 23244 lines of code, 1672 functions and 78 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed rift-python and discovered the below as its top functions. This is intended to give you an instant insight into rift-python implemented functionality, and help decide if they suit your requirements.
            • Read properties from an IProt
            • Reads a VariableTransport from an iprot
            • Read from iprot
            • Process a incoming LIE packet
            • Push an event to the FSM
            • Remove the interface from the neighbor
            • Log a message
            • Processes a TIE_TIE_TIDE packet
            • Rebuilds the newly created TIE header
            • Write a netns file
            • Start sending flooding packets
            • Create IPv6 receive socket
            • Add missing methods
            • Process the command line interface
            • Process a RTIE packet info
            • Send a LIEP packet
            • Parse command line arguments
            • Create IPv4 UDP socket
            • Read data from an IProt
            • Main loop
            • Return the summary of this node
            • Start the interface
            • Generate the prefix for this node
            • Add a TIE message to the queue
            • Prints details about this node
            • Read the IPv4 prefix
            Get all kandi verified functions for this library.

            rift-python Key Features

            No Key Features are available at this moment for rift-python.

            rift-python Examples and Code Snippets

            No Code Snippets are available at this moment for rift-python.

            Community Discussions

            Trending Discussions on rift-python

            How do I produce a graphical code profile report for C++ code compiled with Clang LLVM?
            How can pytest-cov report coverage of python code that is executed as a result of pexpect.spawn?

            QUESTION

            How do I produce a graphical code profile report for C++ code compiled with Clang LLVM?
            Asked 2020-Apr-03 at 16:55

            How do I produce a graphical code profile report for C++ code compiled with Clang LLVM?

            • What command-line options to I pass to clang++ to instruct it to gather profiling data when the code is executed?

            • Into which file(s) is the gathered profiling data stored?

            • What are the post-processing steps to convert the collected profile data into a graphical report that shows how often each function is called, what percentage of time is spent in each function, and from which functions each function is called (similar to https://s3-us-west-2.amazonaws.com/brunorijsman-public/example-rift-python-code-profile.png)?

            I have full control over the C++ source code and Makefile.

            It has to be LLVM clang++ (GNU g++ is not an option for me). Xcode is also not an option for me.

            ...

            ANSWER

            Answered 2020-Apr-03 at 16:04

            As aforementioned, gprof is one profiling tool that you can use. There's a problem however,it only counts CPU-time-in-process, it basically can't see I/O calls. It's also confused by recursion. Callgrind also shares similar problems, KCacheGrind uses Valgrind which actually interprets all the code. At the end of the day however, these are the options, personally, for small scale I would go with gprof simply due to its usability and documentation.

            Source https://stackoverflow.com/questions/60840386

            QUESTION

            How can pytest-cov report coverage of python code that is executed as a result of pexpect.spawn?
            Asked 2018-Oct-14 at 13:01

            I have a Python project that uses pytest-cov for unit testing and code coverage measurement.

            The directory structure for my project is:

            ...

            ANSWER

            Answered 2018-Aug-03 at 01:28

            Use coverage run to run your pexpect program and gather data:

            If you usually do:

            Source https://stackoverflow.com/questions/51662884

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

            Vulnerabilities

            No vulnerabilities reported

            Install rift-python

            You can download it from GitHub.
            You can use rift-python 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

            Configuration File (Also known as the Topology File). Configuration File Generator (Also known as the Meta-Topology File).
            Find more information at:

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