Search Results for "convert python to c"
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Showing 8 open source projects for "convert python to c"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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CAT
CAT is the basic component of the server project
...Alert rules and anomaly detection can be defined to notify teams proactively. The system supports multiple data backends and ingestion pipelines to collect data from JVM, C/C++, Python, and other ecosystems. With the collected data, Cat supports analysis of hotspots, trending anomalies, and capacity planning to drive continuous reliability improvements. -
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Zebrunner Community Edition
Test Automation Management Tool
Zebrunner CE (Community Edition) is a Test Automation Management Tool for continuous testing and continuous deployment. It allows you to run various kinds of tests and gain successive levels of confidence in the code quality. Zebrunner CE is integrated by default with Carina open-source TestNG framework and uses Jenkins as a CI Tool. It is built on top of popular docker solutions and includes Postgres database, Zebrunner Reporting, Jenkins Master/Slaves Nodes, Selenium Hub, Mobile... -
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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. -
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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" -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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epyunit
PyUnit and PyDev extensions for arbitrary Executables
The package 'epyunit' provides extensions for PyUnit and PyDev. * Extensions for PyUnit - Unittests for arbitrary executables. * Extensions for PyDev - Automation of search and load of pydevd.py The extensions are applicable from commandline and/or within Eclipse. Online manuals: - https://pythonhosted.org/epyunit/ PyPi repository: - https://pypi.python.org/pypi/epyunit Current application examples are: - bash-core - http://bash-core.sourceforge.net Nickname -... -
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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! -
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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),... -
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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.
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