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https://github.com/ctrlcctrlv/humnumsort-test-data

Test data for `hns`
https://github.com/ctrlcctrlv/humnumsort-test-data

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Test data for `hns`

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Expensive tests for hns (human numeric sort)

code{white-space: pre-wrap;}
span.smallcaps{font-variant: small-caps;}
span.underline{text-decoration: underline;}
div.column{display: inline-block; vertical-align: top; width: 50%;}
div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
ul.task-list{list-style: none;}
pre > code.sourceCode { white-space: pre; position: relative; }
pre > code.sourceCode > span { display: inline-block; line-height: 1.25; }
pre > code.sourceCode > span:empty { height: 1.2em; }
code.sourceCode > span { color: inherit; text-decoration: inherit; }
div.sourceCode { margin: 1em 0; }
pre.sourceCode { margin: 0; }
@media screen {
div.sourceCode { overflow: auto; }
}
@media print {
pre > code.sourceCode { white-space: pre-wrap; }
pre > code.sourceCode > span { text-indent: -5em; padding-left: 5em; }
}
pre.numberSource code
{ counter-reset: source-line 0; }
pre.numberSource code > span
{ position: relative; left: -4em; counter-increment: source-line; }
pre.numberSource code > span > a:first-child::before
{ content: counter(source-line);
position: relative; left: -1em; text-align: right; vertical-align: baseline;
border: none; display: inline-block;
-webkit-touch-callout: none; -webkit-user-select: none;
-khtml-user-select: none; -moz-user-select: none;
-ms-user-select: none; user-select: none;
padding: 0 4px; width: 4em;
background-color: #232629;
color: #7a7c7d;
}
pre.numberSource { margin-left: 3em; border-left: 1px solid #7a7c7d; padding-left: 4px; }
div.sourceCode
{ color: #cfcfc2; background-color: #232629; }
@media screen {
pre > code.sourceCode > span > a:first-child::before { text-decoration: underline; }
}
code span { color: #cfcfc2; } /* Normal */
code span.al { color: #95da4c; background-color: #4d1f24; font-weight: bold; } /* Alert */
code span.an { color: #3f8058; } /* Annotation */
code span.at { color: #2980b9; } /* Attribute */
code span.bn { color: #f67400; } /* BaseN */
code span.bu { color: #7f8c8d; } /* BuiltIn */
code span.cf { color: #fdbc4b; font-weight: bold; } /* ControlFlow */
code span.ch { color: #3daee9; } /* Char */
code span.cn { color: #27aeae; font-weight: bold; } /* Constant */
code span.co { color: #7a7c7d; } /* Comment */
code span.cv { color: #7f8c8d; } /* CommentVar */
code span.do { color: #a43340; } /* Documentation */
code span.dt { color: #2980b9; } /* DataType */
code span.dv { color: #f67400; } /* DecVal */
code span.er { color: #da4453; text-decoration: underline; } /* Error */
code span.ex { color: #0099ff; font-weight: bold; } /* Extension */
code span.fl { color: #f67400; } /* Float */
code span.fu { color: #8e44ad; } /* Function */
code span.im { color: #27ae60; } /* Import */
code span.in { color: #c45b00; } /* Information */
code span.kw { color: #cfcfc2; font-weight: bold; } /* Keyword */
code span.op { color: #cfcfc2; } /* Operator */
code span.ot { color: #27ae60; } /* Other */
code span.pp { color: #27ae60; } /* Preprocessor */
code span.re { color: #2980b9; background-color: #153042; } /* RegionMarker */
code span.sc { color: #3daee9; } /* SpecialChar */
code span.ss { color: #da4453; } /* SpecialString */
code span.st { color: #f44f4f; } /* String */
code span.va { color: #27aeae; } /* Variable */
code span.vs { color: #da4453; } /* VerbatimString */
code span.wa { color: #da4453; } /* Warning */



Expensive tests for hns (human numeric sort)



See parent hns package.




  1. 1000000.txt.zst = one million numbers.

    • regenerate with seq 0 1000000




  2. 10000000.txt.zst = ten million sequential numbers.

    • regenerate with seq 0 10000000




  3. 0.0.0.0/8.txt.zst = all IPv4 addresses in Class A network №0


    • regenerate with:



      #!/bin/bash
      
      SEQ=$(seq 0 255)
      for i in $SEQ; do
      for j in $SEQ; do
      for k in $SEQ; do
      echo 0.$i.$j.$k
      done
      done
      done




    • warning: on my system it takes about as long to generate as it does to sort!



      {
      
      real: 29.471s;
      user: 27.638s;
      sys: 1.832s;
      }






  4. negatives.txt = 50,000 pseudo-random numbers

    • regenerate with:

      #!/usr/bin/env python3
      
      # run as ./negatives.py > negatives.txt
      import random
      import sys

      _, OUT = sys.argv

      random.seed(a=0)

      g = (str(random.randrange(-100000, 100000)) for i in range(50000))

      data = "\n".join(g)

      print(data)