[gDesklets] New Control added (Random)

[Bjoern Koch <H Humpel gmx de>]

Hi there,

rev. 93 just hit launchpad!

A new Control has been added: Random.
As the provided functions are very "basic" for programming in general 
and therefore they might be useful for some desklets I thought it might 
be a good candidate to be part of the basic Controls provided by 
gDesklets ;).

You need to "feed" the control with a sequence (tuple) with all 
necessary parameters.
Detailed information on these parameters can be found in the python 
docs: http://docs.python.org/lib/module-random.html

Basic/simple testing has been done, but some more testing might be a 
good idea (someone in here to volunteer ?! ;) ).

Here is the output from ./test-control.py Controls/Random/ :

IRandom:bss2bsoo8o0dl3kumdpegtrc2-2

  betavariate              r   Beta distribution. Conditions on the 
parameters are alpha > 0 and beta > 0. Returned values range between 0 
and 1. Sequence: (alpha, beta).
  choice                   r   Return a random element from the 
non-empty sequence seq. Sequence: (seq).
  expovariate              r   Exponential distribution. lambd is 1.0 
divided by the desired mean. Sequence: (lambd, ).
  gammavariate             r   Gamma distribution. (Not the gamma 
function!) Conditions on the parameters are alpha > 0 and beta > 0. 
Sequence: (alpha, beta).
  gauss                    r   Gaussian distribution. mu is the mean, 
and sigma is the standard deviation. Sequence: (mu, sigma).
  lognormvariate           r   Log normal distribution. Sequence: (mu, 
sigma).
  normalvariate            r   Normal distribution. mu is the mean, and 
sigma is the standard deviation. Sequence: (mu, sigma).
  paretovariate            r   Pareto distribution. alpha is the shape 
parameter. Sequence: (alpha, ).
  randint                  r   Return a random integer N such that a <= 
N <= b. Sequence: (a, b).
  random                   r   Return the next random floating point 
number in the range [0.0, 1.0). Sequence: ().
  randrange                r   Return a randomly selected element from 
range(start, stop, step). Sequence: (start, stop, step).
  sample                   r   Return a k length list of unique 
elements chosen from the population sequence. Sequence: (population, k).
  sequence                 rw  The sequence/tuple to be used.
  uniform                  r   Return a random real number N such that 
a <= N < b. Sequence: (a, b).
  vonmisesvariate          r   mu is the mean angle, expressed in 
radians between 0 and 2*pi, and kappa is the concentration parameter, 
which must be greater than or equal to zero. Sequence: (mu, kappa).
  weibullvariate           r   Weibull distribution. alpha is the scale 
parameter and beta is the shape parameter. Sequence: (alpha, beta).


Greetings, Bjoern