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eredotpkfr committed Dec 21, 2023
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Expand Up @@ -201,7 +201,7 @@ <h2>fipv<a class="headerlink" href="#fipv" title="Permalink to this heading">#</
<a class="reference external image-reference" href="https://img.shields.io/pypi/pyversions/fipv"><img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/fipv" /></a>
<a class="reference external image-reference" href="https://opensource.org/licenses/MIT"><img alt="License: MIT" src="https://img.shields.io/badge/license-MIT-informational.svg" /></a>
<a class="reference external image-reference" href="https://github.com/eredotpkfr/fipv/stargazers"><img alt="Stars" src="https://img.shields.io/github/stars/eredotpkfr/fipv?style=social" /></a>
<p><code class="docutils literal notranslate"><span class="pre">fipv</span></code> (fast ip validator) is a python package build with <code class="docutils literal notranslate"><span class="pre">C</span></code> language. Simply it includes basic IP address validator functions as a <code class="docutils literal notranslate"><span class="pre">C</span></code> function, so works faster than others. Following <code class="docutils literal notranslate"><span class="pre">C</span></code> functions avaliable on this package:</p>
<p><code class="docutils literal notranslate"><span class="pre">fipv</span></code> (fast ip validator) stands out as a high-speed Python package meticulously built in C language. Essentially, it consolidates core IP address validation functions into a C-based implementation, ensuring unmatched speed compared to alternatives. Following C-based validator functions avaliable on this package:</p>
<ul class="simple">
<li><p>ipv4</p></li>
<li><p>ipv4_cidr</p></li>
Expand Down Expand Up @@ -247,8 +247,6 @@ <h3>Usage<a class="headerlink" href="#usage" title="Permalink to this heading">#
<section id="test-benchmark-2021-10-07">
<h3>Test Benchmark (2021-10-07)<a class="headerlink" href="#test-benchmark-2021-10-07" title="Permalink to this heading">#</a></h3>
<p>In this test, it was tested validation speed and average RAM usage with different python validators and different data types. Finally results saved to below table.</p>
<p><span class="raw-html-m2r"><b>Test Duration:</b></span> Used linux <code class="docutils literal notranslate"><span class="pre">time</span></code> command for determine execution time of script.<span class="raw-html-m2r"><br/></span>
<span class="raw-html-m2r"><b>Avr. RAM Usage:</b></span> Used linux <code class="docutils literal notranslate"><span class="pre">ps</span></code> command every <code class="docutils literal notranslate"><span class="pre">0.1</span></code> second and calculated RAM average.</p>
<dl class="field-list simple">
<dt class="field-odd">green_circle<span class="colon">:</span></dt>
<dd class="field-odd"><p>Valid :red_circle: Invalid</p>
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