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        "description": "[![Codacy Badge](https://api.codacy.com/project/badge/Grade/9c0df6535cb64f03921f3c9bb76c9fba)](https://app.codacy.com/app/jeremad/looper?utm_source=github.com&utm_medium=referral&utm_content=jeremad/looper&utm_campaign=Badge_Grade_Dashboard)\n[![License](https://img.shields.io/github/license/jeremad/looper.svg)](https://opensource.org/licenses/MIT)\n[![Build](https://img.shields.io/travis/jeremad/looper/master.svg)](https://travis-ci.org/jeremad/looper)\n[![codecov](https://codecov.io/gh/jeremad/looper/branch/master/graph/badge.svg)](https://codecov.io/gh/jeremad/looper)\n\n# Basic tool to run commands in loop\n\nThis tool was intended to help QA guy like me with flaky tests, buy either measuring the \"flakyness\" of the test, or run it until it fails to debug it.\n\n## Usage\n\nLet's say your test command is `run test`\n\n### Debug\n\nYou want to run a test until it fails to debug it, and you know it may take a while:\n`$ looper --max-tries 0 --stop-on-first-fail \"run test\"`\n\n`max-tries` to 0, means that there is no limit to the number of times a test can sucessfully run\n\n### Measure\n\nYou want to find the failing rate of a test of out 1000 runs:\n`$ looper --max-tries 1000 \"run test\"`\n\nAt the end you will have a sumary\n\n## Installation\n\n`pip install --user py-loop`\n\n\n",
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