Free foot pedals transcription software for linux

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Geo::Distance is a Perl module that can calculate distances and closest locations.

SYNOPSIS

use Geo::Distance;
my $geo = new Geo::Distance;
$geo->formula(hsin);
$geo->reg_unit( toad_hop, 200120 );
$geo->reg_unit( frog_hop => 6 => toad_hop );
my $distance = $geo->distance( unit_type, $lon1,$lat1 => $lon2,$lat2 );
my $locations = $geo->closest(
dbh => $dbh,
table => $table,
lon => $lon,
lat => $lat,
unit => $unit_type,
distance => $dist_in_unit
);

This perl library aims to provide as many tools to make it as simple as possible to calculate distances between geographic points, and anything that can be derived from that. Currently there is support for finding the closest locations within a specified distance, to find the closest number of points to a specified point, and to do basic point-to-point distance calculations.

METHODS

new

my $geo = new Geo::Distance;
my $geo = new Geo::Distance( no_units=>1 );

Returns a blessed Geo::Distance object. The new constructor accepts one optional argument.

no_units - Whether or not to load the default units. Defaults to 0 (false).
kilometer, kilometre, meter, metre, centimeter, centimetre, millimeter,
millimetre, yard, foot, inch, light second, mile, nautical mile,
poppy seed, barleycorn, rod, pole, perch, chain, furlong, league,
fathom

formula

if($geo->formula eq hsin){ ... }
$geo->formula(cos);

Allows you to retrieve and set the formula that is currently being used to calculate distances. The availabel formulas are hsin, polar, cos, and mt. hsin is the default and mt/cos are depreciated in favor of hsin. polar should be used when calculating coordinates near the poles.

reg_unit
$geo->reg_unit( $radius, $key );
$geo->reg_unit( $key1 => $key2 );
$geo->reg_unit( $count1, $key1 => $key2 );
$geo->reg_unit( $key1 => $count2, $key2 );
$geo->reg_unit( $count1, $key1 => $count2, $key2 );

This method is used to create custom unit types. There are several ways of calling it, depending on if you are defining the unit from scratch, or if you are basing it off of an existing unit (such as saying 12 inches = 1 foot ). When defining a unit from scratch you pass the name and rho (radius of the earth in that unit) value.

So, if you wanted to do your calculations in human adult steps you would have to have an average human adult walk from the crust of the earth to the core (ignore the fact that this is impossible). So, assuming we did this and we came up with 43,200 steps, youd do something like the following.

# Define adult step unit.
$geo->reg_unit( 43200, adult step );
# This can be read as "It takes 43,200 adult_steps to walk the radius of the earth".

Now, if you also wanted to do distances in baby steps you might think "well, now I gotta get a baby to walk to the center of the earth". But, you dont have to! If you do some research youll find (no research was actually conducted) that there are, on average, 4.7 baby steps in each adult step.

# Define baby step unit.
$geo->reg_unit( 4.7, baby step => adult step );
# This can be read as "4.7 baby steps is the same as one adult step".

And if we were doing this in reverse and already had the baby step unit but not the adult step, you would still use the exact same syntax as above.
distance

my $distance = $geo->distance( unit_type, $lon1,$lat1 => $lon2,$lat2 );

Calculates the distance between two lon/lat points.
closest

my $locations = $geo->closest(
dbh => $dbh,
table => $table,
lon => $lon,
lat => $lat,
unit => $unit_type,
distance => $dist_in_unit
);

This method finds the closest locations within a certain distance and returns an array reference with a hash for each location matched.

The closest method requires the following arguments:

dbh - a DBI database handle
table - a table within dbh that contains the locations to search
lon - the longitude of the center point
lat - the latitude of the center point
unit - the unit of measurement to use, such as "meter"
distance - the distance, in units, from the center point to find locations

The following arguments are optional:

lon_field - the name of the field in the table that contains the longitude, defaults to "lon"
lat_field - the name of the field in the table that contains the latitude, defaults to "lat"
fields - an array reference of extra field names that you would like returned with each location
where - additional rules for the where clause of the sql
bind - an array reference of bind variables to go with the placeholders in where
sort - whether to sort the locations by their distance, making the closest location the first returned
count - return at most these number of locations (implies sort => 1)

This method uses some very simplistic calculations to SQL select out of the dbh. This means that the SQL should work fine on almost any database (only tested on MySQL and SQLite so far) and this also means that it is fast. Once this sub set of locations has been retrieved then more precise calculations are made to narrow down the result set. Remember, though, that the farther out your distance is, and the more locations in the table, the slower your searches will be.

Math::BaseArith is a Perl extension for mixed-base number representation (like APL encode/decode).

SYNOPSIS

use Math::BaseArith;
encode( value, base_list );
decode( representation_list, base_list );

The inspiration for this module is a pair of functions in the APL programming language called encode (a.k.a. "representation") and decode (a.k.a. base-value). Their principal use is to convert numbers from one number base to another. Mixed number bases are permitted.

In this perl implementation, the representation of a number in a particular number base consists of a list whose elements are the digit values in that base. For example, the decimal number 31 would be expressed in binary as a list of five ones with any number of leading zeros: [0, 0, 0, 1, 1, 1, 1, 1]. The same number expressed as three hexadecimal (base 16) digits would be [0, 1, 15], while in base 10 it would be [0, 3, 1]. Fifty-one inches would be expressed in yards, feet, inches as [1, 1, 3], an example of a mixed number base.

In the following description of encode and decode, Q will mean an abstract value or quantity, R will be its representation and B will define the number base. Q will be a perl scalar; R and B are perl lists. The values in R correspond to the radix values in B.

In the examples below, assume the output of print has been altered by setting $, = and that => is your shell prompt.

patch-o-matic-ng it is a system to apply netfilter-related patches to the latest kernel and/or iptables sources.

FOLLOW THESE STEPS:

0) There may be some outstanding bugfixes or tweaks which are not yet in the official kernel. To look through these, do:

# KERNEL_DIR=
IPTABLES_DIR=
./runme pending

Please note that you have to recompile your kernel and your kernel modules after this step of kernel patching.

Thats it!

FEELING BRAVE?

1) The netfilter core team is maintaining a set of extensions / new features which are not yet committed to the mainstream kernel tree.

They are a collection of maybe-broken maybe-cool third-party extensions.

Please note that you cannot apply any combination of any of those patches. Some of them are incompatible...

This is why we provide two ways of applying them:

If you want to try some extensions, and be sure that they dont break each other, you can do the following:

# KERNEL_DIR=
IPTABLES_DIR=
./runme base

It will modify you kernel source (so back it up first!). You will have to recompile / rebuild your kernel and modules.

Alternatively, if you really know what your are doing, you can use the following command in order to offer you the full list of choices. Be aware that we dont prevent you from shooting yourself in the foot.

% KERNEL_DIR=
IPTABLES_DIR=
./runme extra

Overslack is a slackline simulator/game. A configurable model world containing a slackline, a slacker and ground is visualized and its time evolution is calculated while the user controls the slacker using the mouse. Just like with real slacklining there is no predefined goal, but it keeps track of the time you stand on the line.

The simulated world has only two dimensions. Although the forward direction offers many possibilities on a real slackline, it has very little to do with balancing and is quite uninteresting to simulate. Slow speeds are assumed, so the air resistance is neglected. The time evolution is calculated by applying Newtonian physics numerically as many times per second as the machine can handle.

The speed of the simulated world is configurable, making it run five times as slow as the real world makes it slow enough to be manageable and fast enough to keep the attention up. Unlike normal grass ground, the ground in the simulation is bouncy and doesnt cause injuries. It is (unfortunately) a bit unrealistic, but makes it more fun.

The simulated line behaves according to a quite simple model. An ideal spring between the lines point of equilibrium and the slackers feet makes a good approximation, but an ideal spring gives back all energy it stores, which would cause you to bounce forever without helping with your legs. To simulate some friction, it has a somewhat different spring constant depending on whether its extending or compressing. It is of course fully configurable, so anything from an ideal spring to an old, tired and non-elastic line are possible to simulate.

The slacker is controlled with the mouse. Move the mouse down to extend the legs, and move it up to crouch. Move the mouse to the right to lower your right arm and raise your left, and to the left to do the opposite. This is pretty much all you can do on a real slackline too, except that you can move more than just your arms, but thats just a question of terminology.

The slacker is infinitely fast and strong, if you move the mouse the slacker will move instantly to the new position regardless of the force and energy required.
It is possible to jump off the line and land on it again, with or without bouncing on the ground in between, but to make it simpler the slacker is moved to a perfectly balanced position whenever you press the right mouse button.

In addition to the line, slacker and some on-screen numerical physical information, vectors visualizing location (white), speed (green) and acceleration (red), both translational and rotational, are shown.