05-24-2016
Quote:
Originally Posted by
Don Cragun
Hi roof,
Why don't you think 000 and 029 just as valid as 3-digit random numbers as 100 and 999?
I didn't say it isn't, but it might be. Some people consider a 3-digit number as one which is higher than 99 (and might be disappointed, if they get promised an hourly payment in the "range of a 3-digit-number" and end up getting payed US$ 002 per hour), and others are happy with a leading zero. The OP didn't say anything, and I gave my implementation as an example.
Quote:
Originally Posted by
Don Cragun
And, since the input is "thousands of lines", it isn't obvious whether or not my awk suggestion would be slower or faster processing the desired file than the zsh (or ksh93 or bash) script you suggested.
To be honest, even for a couple of thousands of lines, speed difference should only matter if the same type of transformation is done many times in a loop. I gave zsh as an example, because I personally use either zsh or Ruby for this type of task (out of a habit), but bash, Perl, Python, awk etc. work of course equally well, and the OP did not have expressed a preference for a particular language.
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LEARN ABOUT DEBIAN
slarnv
slarnv.f(3) LAPACK slarnv.f(3)
NAME
slarnv.f -
SYNOPSIS
Functions/Subroutines
subroutine slarnv (IDIST, ISEED, N, X)
SLARNV
Function/Subroutine Documentation
subroutine slarnv (integerIDIST, integer, dimension( 4 )ISEED, integerN, real, dimension( * )X)
SLARNV
Purpose:
SLARNV returns a vector of n random real numbers from a uniform or
normal distribution.
Parameters:
IDIST
IDIST is INTEGER
Specifies the distribution of the random numbers:
= 1: uniform (0,1)
= 2: uniform (-1,1)
= 3: normal (0,1)
ISEED
ISEED is INTEGER array, dimension (4)
On entry, the seed of the random number generator; the array
elements must be between 0 and 4095, and ISEED(4) must be
odd.
On exit, the seed is updated.
N
N is INTEGER
The number of random numbers to be generated.
X
X is REAL array, dimension (N)
The generated random numbers.
Author:
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
November 2011
Further Details:
This routine calls the auxiliary routine SLARUV to generate random
real numbers from a uniform (0,1) distribution, in batches of up to
128 using vectorisable code. The Box-Muller method is used to
transform numbers from a uniform to a normal distribution.
Definition at line 98 of file slarnv.f.
Author
Generated automatically by Doxygen for LAPACK from the source code.
Version 3.4.1 Sun May 26 2013 slarnv.f(3)