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            "Environment :: Console",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.7",
            "Topic :: System :: Benchmark",
            "Topic :: Utilities"
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        "description": "# kbench\n[![CircleCI](https://circleci.com/gh/keichi/kbench.svg?style=svg)](https://circleci.com/gh/keichi/kbench)\n[![PyPI](https://img.shields.io/pypi/v/kbench?style=flat-square)](https://test.pypi.org/project/kbench)\n\n## Installation\n\n```\n$ pip install kbench\n```\n\n## Usage\n\n### pod-throughput\n\nLaunch multiple pods in parallel and measure their startup and cleanup time.\n\n```\n$ kbench pod-throughput\n```\n\n- `-n`, `--num-pods`: Number of pods to launch.\n- `-i`, `--image`: Container image to use.\n\n### pod-latency\n\nLaunch multiple pods sequentially and measure their startup and cleanup time.\n\n```\n$ kbench pod-latency\n```\n\n- `-n`, `--num-pods`: Number of pods to launch.\n- `-i`, `--image`: Container image to use.\n\n### deployment-scaling\n\nCreate a deployment and measure scale-in/out latency. First, a deployment with\n`m` replicas is created. Then, the deployment is scaled-out to `n` replicas.\nOnce the scale-out is completed, the deployment is scaled-in to `m` replicas\nagain.\n\n```\n$ kbench deployment-scaling\n```\n\n- `-i`, `--image`: Container image to use.\n- `-m`, `--num-init-replicas`: Initial number of replicas.\n- `-n`, `--num-target-replicas`: Target number of replicas.\n",
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        "license": "MIT",
        "maintainer": "Keichi Takahashi",
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        "name": "kbench",
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