Counting the differences based on a specific rule Post: 302233323

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Top Forums Shell Programming and Scripting Counting the differences based on a specific rule Post 302233323 by labrazil on Sunday 7th of September 2008 05:46:16 AM

09-07-2008

Registered User

Counting the differences based on a specific rule

Hi,
I've been trying to create a perl file to run something very specific. But I'm not getting any success. I'm not very good with hashing.

I have a file with two columns (tab separated) (already sorted)

99890 +
100281 +
104919 -
109672 +
113428 -
114501 +
115357 +
115598 -
116100 +
118192 +
119470 +

What I am trying to do is determine the difference between two sets of numbers only when a + is followed by a -. And then based on the difference value, to count those that are less than 100, 100-200, 201-500, 501-750, 751-1000, or greater than 1001 and also to determine how many didn't follow the rule (+ followed by -).

Based on the file above, I would assume the output would be:
<100 - 0
100-200 - 0
201-500 - 1
501-750 - 0
751-1000 - 0
>1001 - 2

no match - 5

Please if anyone can help me...
Thanks.

labrazil

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pnmpsnr

pnmpsnr(1)						      General Commands Manual							pnmpsnr(1)

NAME

       pnmpsnr - compute the difference between two portable anymaps

SYNOPSIS

       pnmpsnr [pnmfile1] [pnmfile2]

DESCRIPTION

       Reads  two  PBM,  PGM, or PPM files, or PAM equivalents, as input.  Prints the peak signal-to-noise ratio (PSNR) difference between the two
       images.	This metric is typically used in image compression papers to rate the distortion between original and decoded image.

       If the inputs are PBM or PGM, pnmpsnr prints the PSNR of the luminance only.  Otherwise, it prints the separate PSNRs of the luminance, and
       chrominance (Cb and Cr) components of the colors.

       The  PSNR  of  a  given component is the ratio of the mean square difference of the component for the two images to the maximum mean square
       difference that can exist betwee any two images.  It is expressed as a decibel value.

       The mean square difference of a component for two images is the mean square difference of the component value, comparing  each  pixel  with
       the pixel in the same position of the other image.  For the purposes of this computation, components are normalized to the scale [0..1].

       The maximum mean square difference is identically 1.

       So the higher the PSNR, the closer the images are.  A luminance PSNR of 20 means the mean square difference of the luminances of the pixels
       is 100 times less than the maximum possible difference, i.e. 0.01.

SEE ALSO

       pnm(5)

								   04 March 2001							pnmpsnr(1)