Showing 5 open source projects for "convert python to c"

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  • 1
    Beamology

    Beamology

    Beamology: Semicom Project Management

    Beamology is the leading field of project management for SuperWikia Alpha semicom codesmiths. Its residency programs offer vital resources for SuperWikia vertical environment development and utilities needed for SA-VEC certification. Beamology residents are automatically licensed to access the Transcom system.
    Downloads: 0 This Week
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  • 2

    Chronological Cohesive Units

    The experimental source code for the paper

    The experimental source code for the paper, "A Novel Recommendation Approach Based on Chronological Cohesive Units in Content Consuming"
    Downloads: 0 This Week
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  • 3

    GrinderParser

    Records, edits and executes The Grinder scripts

    This is a Windows Form application, developed in C#. The purpose of this application is to edit and customize script taken from The Grinder recorder to suit ones needs. The recording, editing and testing of scripts can be done mostly within application. This application also supports managing multiple script executions at once. To learn more, please, take a look at users manual!
    Downloads: 0 This Week
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  • 4
    Regression Suite

    Regression Suite

    Test suite with unit regrssion and execution statistics

    RegressionSuite is a software test suite that incorporates measurement of the startup lag, measurement of accurate execution times, generating execution statistics, customized input distributions, and processable regression specific details as part of the regular unit tests. Essentially, RegressionSuite provides the frame-work around which the individual unit regressors are invoked (and details and statistics collected). Unit regressors are grouped into named regressor sets (or modules),...
    Downloads: 0 This Week
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  • 5

    Java/C Comparative Benchmarks

    Java and C Comparative Performance Benchmarks

    A collection of software benchmarks developed to compare the performance of Java with C on identical code. No language libraries were used to avoid implementation differences. Some of the benchmarks are also implemented in Python and Scala. There are benchmarks for bit twiddling, numerical computing, data structure manipulation, concurrent computing, callouts to native libraries, and, graphics processing units (GPU) utilization.
    Downloads: 0 This Week
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