Free reverse number lookup software for linux

Convert::Number::Digits is a Perl module that convert Digits Between the Scripts of Unicode.

SYNOPSIS

use utf8;
require Convert::Number::Digits;

my $number = 12345;
my $d = new Convert::Number::Digits ( $number );
print "$number => ", $d->toArabic, "n";

my $gujarti = $d->toGujarti;
my $khmer = reverse ( $d->toKhmer );
$d->number ( $khmer ); # reset the number
print "$number => $gujarti => ", $d->number, " => ", $n->convert, "n";

The Convert::Number::Digits will convert a sequence of digits from one script supported in Unicode, into another. UTF-8 encoding is used for all scripts.

Scalar::Number is a Perl module with numeric aspects of scalars.

SYNOPSIS

use Scalar::Number qw(scalar_num_part);

$num = scalar_num_part($scalar);

use Scalar::Number qw(sclnum_is_natint sclnum_is_float);

if(sclnum_is_natint($value)) { ...
if(sclnum_is_float($value)) { ...

use Scalar::Number qw(sclnum_val_cmp sclnum_id_cmp);

@sorted_nums = sort { sclnum_val_cmp($a, $b) } @floats;
@sorted_nums = sort { sclnum_id_cmp($a, $b) } @floats;

This module is about the numeric part of plain (string) Perl scalars. A scalar has a numeric value, which may be expressed in either the native integer type or the native floating point type. Many values are expressible both ways, in which case the exact representation is insignificant. To fully understand Perl arithmetic it is necessary to know about both of these representations, and the differing behaviours of numbers according to which way they are expressible.
This module provides functions to extract the numeric part of a scalar, classify a number by expressibility, and compare numbers across representations.

Number::Latin is a Perl module that can convert to/from the number system "a,b,...z,aa,ab..."

SYNOPSIS

use Number::Latin;
print join( , map int2latin($_), 1 .. 30), "n";
#
# Prints:
# a b c d e f g h i j k l m n o p q r s t u v w x y z aa ab ac ad

Some applications, notably the numbering of points in outlines, use a scheme that starts with the letter "a", goes to "z", and then starts over with "aa" thru "az", then "ba", and so on. (The W3C refers to this numbering system as "lower-latin"/"upper-latin" or "lower alpha"/"upper alpha", in discussions of HTML/CSS options for rendering of list elements (OL/LI).)

This module provides functions that deal with that numbering system, converting between it and integer values.

FUNCTIONS

This module exports four functions, int2latin, int2Latin, int2LATIN, and latin2int:

$latin = int2latin( INTEGER )

This returns the INTEGERth item in the sequence (a .. z, aa, ab, etc). For example, int2latin(1) is "a", int2latin(2) is "b", int2latin(26) is "z", int2latin(30) is "ad", and so for any nonzero integer.

$latin = int2Latin( INTEGER )

This is just like int2latin, except that the return value is has an initial capital. E.g., int2Latin(30) is "Ad".

$latin = int2LATIN( INTEGER )

This is just like int2latin, except that the return value is in all uppercase. E.g., int2LATIN(30) is "AD".

$latin = latin2int( INTEGER )

This converts back from latin number notation (regardless of capitalization!) to an integer value. E.g., latin2int("ad") is 30.

Number::Interval is a Perl module that can implement a representation of a numeric interval.

SYNOPSIS

use Number::Interval;

$i = new Number::Interval( Min => -4, Max => 20);
$i = new Number::Interval( Min => 0 );

$is = $i->contains( $value );
$status = $i->intersection( $i2 );

print "$i";

Simple class to implement a closed or open interval. Can be used to compare different intervals, determine set membership, calculate intersections and provide default stringification methods.

Intervals can be bound or unbound. If max is less than min the interval is inverted.

Number::WithError is a Perl module that contains numbers with error propagation and scientific rounding.

SYNOPSIS

use Number::WithError;

my $num = Number::WithError->new(5.647, 0.31);
print $num . "n";
# prints 5.65e+00 +/- 3.1e-01
# (I.e. it automatically does scientific rounding)

my $another = $num * 3;
print $another . "n";
# propagates the error assuming gaussian errors
# prints 1.69e+01 +/- 9.3e-01

# trigonometric functions also work:
print sin($another) . "n";
# prints -9.4e-01 +/- 3.1e-01

my $third = $another ** $num;
print $third. "n";
# propagates both errors into one.
# prints 8.7e+06 +/- 8.1e+06

# shortcut for the constructor:
use Number::WithError witherror;
$num = witherror(0.00032678, [2.5e-5, 3e-5], 5e-6);
# can deal with any number of errors, even with asymmetric errors
print $num . "n";
# prints 3.268e-04 + 2.5e-05 - 3.00e-05 +/- 5.0e-06
# Note: It may be annyoing that they dont all have the same
# exponent, but they *do* all have the sam significant digit!

This class is a container class for numbers with a number of associated symmetric and asymmetric errors. It overloads practically all common arithmetic operations and trigonometric functions to propagate the errors. It can do proper scientific rounding (as explained in more detail below in the documentation of the significant_digit() method).

You can use Math::BigFloat objects as the internal representation of numbers in order to support arbitrary precision calculations.

Errors are propagated using Gaussian error propagation.

With a notable exception, the test suite covers way over ninety percent of the code. The remaining holes are mostly difficult-to-test corner cases and sanity tests. The comparison routines are the exception for which there will be more extensive tests in a future release.

RIR to DNS converter is a tool to convert Regional Internet Registry data to a DNS country lookup zone. You can use it to build your own DNS zone for looking up country codes from IP addresses.

It uses data directly from RIPE, ARIN, APNIC, LACNIC, and AFRINIC. The data can be updated on a schedule of your choosing.

The input data comes from:

ftp://ftp.afrinic.net/pub/stats/afrinic/delegated-afrinic-latest
ftp://ftp.apnic.net/pub/stats/apnic/delegated-apnic-latest
ftp://ftp.arin.net/pub/stats/arin/delegated-arin-latest
ftp://ftp.ripe.net/pub/stats/ripencc/delegated-ripencc-latest
ftp://ftp.lacnic.net/pub/stats/lacnic/delegated-lacnic-latest

The input data format is described in:

http://www.apnic.net/db/rir-stats-format.html

The output is a BIND 9 zone file that can be used to look up country codes
in a similar fashion to in-addr.arpa. For example, to find out what country
203.30.47.58 is:

host 58.47.30.203.rir.example.com
58.47.30.203.rir.example.com has address 127.0.65.86

where 65 and 85 are ASCII for A and U, which means 203.30.47.58 is
in Australia (AU).

HOW TO USE IT

Just feed it the above delegated- -latest files into stdin and it will
spit out the zone file to stdout. The zone file will only have the IP addresses,
so you could $INCLUDE it into a zone file that contains NS records, SOA, $ORIGIN,
etc.

WHY USE IT

You dont need the resolution of MaxMinds GeoIP database, but you do want
something that is free and you want it kept up to date on a schedule that
you decide.

You could use this to block or tag email based on countries, block or redirect
visitors to your website based on end-user country, and so on. Be very
careful about blocking mail this way, though, as you may block legitimate
email. Instead of blocking outright, use it in a SpamAssassin rule to add
something to the spam level, based on where the email comes from.

HOW IT WORKS

The RIR files contain ranges of IP addresses, and indicate what CC each range is allocated to. At the simplest level, rir2dns just sorts the ranges then iterates
through the IPs in each range and generates a reverse-dns-style A record that
represents the country code.

HOW IT WORKS - IN DETAIL

Rather than iterate through each IP address, the program tries to skip through
entire classes at a time (256 IPs, 65536 IPs, etc). Rather than iterate
through each IP, the loop iterates through classes or IP ranges (whichever are
smaller at the loop control), using control-breaks to accummulate neighbouring
ranges where possible so that entire classes that are in the same country dont
generate huge numbers of records.

Firstly, IPs are considered to be 4-digit numbers, but in base-256. In other
words, each octet is dealt with as if it were a single base-256 digit. This
turns out to be convenient because optimisations of large chunks of IP space can be done by looking for places where least-significant base-256 digits are zero.

Next, IP ranges are broken down into the following sub-ranges:

Optional individual IP addresses (ie: 4 octets)
Optional A-class ranges (ie: 3 octets)
Optional B-class ranges (ie: 2 octets)
Optional C-class ranges (ie: 1 octet)
Optional B-class ranges (ie: 2 octets)
Optional A-class ranges (ie: 3 octets)
Optional individual IP addresses (ie: 4 octets)

Considering that there is a pattern here, Im sure theres an elegant way to
handle breaking this down into two loops (one reducing the octets and one
increasing the octets), but I cant be bothered, so Ill break it down into
seven loops. Kind of hard-coded, but at least its simple.

For ease of processing, the IP addresses are actually converted to 32-bit numbers, then back again. This simplifies mathematics and looping through ranges.

Thats pretty much it, really...

Note that currently there are about 80,000 RIR records between all five
registries. This takes about 35 seconds on a 2.4GHz P4 to process, and
generates a 26MB file with around 3/4 million lines (RRs). This causes BIND
to use about 100MB or so of memory, and on a slow machine will probably cause it to take too long to reply, while it searches the zone. That size zone can
take a minute or two to load, which is quite a while.

Basic algorithm:

Read & process RIR data:

Read RIR ranges
Sort RIR ranges by start IP address
Glue together contiguous ranges of the same country

For each range

Generate the IPs at the start of the range

Generate the A-classes at the start of the range

Generate the B-classes at the start of the range

Generate the C-classes in the middle of the range

Generate the B-classes at the end of the range

Generate the A-classes at the end of the range

Generate the IPs at the end of the range