Showing 5 open source projects for "v3.7.1.-r4.2 source code"

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  • 1
    NetworkX

    NetworkX

    Network analysis in Python

    ...Generators for classic graphs, random graphs, and synthetic networks. Nodes can be "anything" (e.g., text, images, XML records). Edges can hold arbitrary data (e.g., weights, time-series). Open source 3-clause BSD license. Well tested with over 90% code coverage. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. It determines whether optional function arguments have been assigned in many functions. ...
    Downloads: 4 This Week
    Last Update:
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  • 2
    django-webpack-loader

    django-webpack-loader

    Transparently use webpack with django

    Use webpack to generate your static bundles without django's static files or opaque wrappers. Django webpack loader consumes the output generated by webpack-bundle-tracker and lets you use the generated bundles in Django. Test cases cover Django>=2.0 on Python>=3.5. 100% code coverage is the target so we can be sure everything works anytime. It should probably work on older versions of Django as well but the package does not ship any test cases for them. Before configuring...
    Downloads: 1 This Week
    Last Update:
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  • 3
    Nebula-Python-SDK

    Nebula-Python-SDK

    A python SDK for managing Nebula container orchestrator

    A python SDK for managing Nebula container orchestrator. First, get NebulaPythonSDK onto your machine, now use it in your code. Nebula container orchestrator aims to help devs and ops treat IoT devices just like distributed Dockerized apps. It aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing that can span thousands (possibly even millions) of devices worldwide and it does it all while being open-source and completely free. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Javelina is an advanced code coverage tool that uses dynamic instrumentation to minimize the overhead for collecting coverage data. Additionally, Javelina allows the application of logical operations to code coverage data.
    Downloads: 4 This Week
    Last Update:
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  • 5
    A set of scripts, based around doctest, for performing regression testing & code coverage analysis on Python modules.
    Downloads: 0 This Week
    Last Update:
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