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<title>OOM Analyser</title>
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<style>
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/* Use BEM naming convention */
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/* Use BEM (Block__Element--Modifier) naming convention */
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.text--append-suffix-kbytes {
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text-align: right;
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</div>
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<div class="js-text--default-hide js-text--display-none" id="changelog">
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<h3>Version 0.3.0 - 2019-XX-XX:</h3>
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<h3>Version 0.3.0 - 2019-11-24:</h3>
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<h4>General</h4>
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<ol>
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<li>Improve presentation</li>
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<li>Separate analysis and visualisation code</li>
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<li>Use CSS classes to control the visibility</li>
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<li>Strip columns left to the message automatically</li>
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<li>Lot if internal improvements and restructuring</li>
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<li>Bug fixes</li>
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</ol>
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<!--
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<h4>Known issues</h4>
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<ol>
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<li>none</li>
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</ol>
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-->
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<h4>Note</h4>
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<ol>
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<li>
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See the
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<a href="https://github.com/CarstenGrohmann/OOMAnalyser/commits" title="commit history">commit history</a>
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<a href="https://github.com/CarstenGrohmann/OOMAnalyser/compare/v0.2.0...v0.3.0"
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title="commit history">commit history</a>
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of the repository for a full list of changes.
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</li>
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</ol>
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</div>
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<div>
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README.md
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README.md
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## Introduction
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OOMAnalyser is a small project to transform the OOM output of a Linux kernel
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into a more human friendly format and show the information on a single web
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page. All data will be processed locally in your browser - the data will not
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transferred to foreign servers. Thereby the OOM webpage can be used without an
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Internet connection also.
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OOMAnalyser is a small project to transform the OOM message of a Linux kernel into a more user-friendly format.
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This project is written in Python and it uses [Transcrypt](https://www.transcrypt.org/) to
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compile the Python sources into JavaScript.
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OOMAnalyser consists of a web page into whose input field the OOM message is copied. JavaScript code extracts the data
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from it and displays the details. All processing takes place in the browser. No data is transferred to external servers.
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This makes it possible to use a locally stored copy of the website for analysis.
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The current online version is available on https://www.carstengrohmann.de/oom/.
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This project is written in Python and uses [Transcrypt](https://www.transcrypt.org/) to translate the Python sources
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into JavaScript.
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The current online version is available at https://www.carstengrohmann.de/oom/ .
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## Installation
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