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Full Discussion: strange numbers when df a fs
Operating Systems Solaris strange numbers when df a fs Post 302590178 by agama on Saturday 14th of January 2012 12:40:28 PM
Old 01-14-2012
First thing I'd do is unmount the filesystem and run fsck on it. I'd also run something like fdisk, cfdisk, or sfdisk to list the partition/slice layout for the physical disk. Ensure that the starting sector and lengths of each don't overlap. Be sure to read and understand the manual page for the fdisk like command you decide to use.

Depending on how you have your disk arranged, it is quite possible that when partitions/slices were defined, starting points were not correctly determined and data from a partition ahead of the one housing your odd filesystem has overwritten the filesystem in question, or you simply have a disk that's going bad.

Another clue would be any disk related messages in the system log.
 

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math::fuzzy(n)							 Tcl Math Library						    math::fuzzy(n)

__________________________________________________________________________________________________________________________________________________

NAME
math::fuzzy - Fuzzy comparison of floating-point numbers SYNOPSIS
package require Tcl ?8.3? package require math::fuzzy ?0.2? ::math::fuzzy::teq value1 value2 ::math::fuzzy::tne value1 value2 ::math::fuzzy::tge value1 value2 ::math::fuzzy::tle value1 value2 ::math::fuzzy::tlt value1 value2 ::math::fuzzy::tgt value1 value2 ::math::fuzzy::tfloor value ::math::fuzzy::tceil value ::math::fuzzy::tround value ::math::fuzzy::troundn value ndigits _________________________________________________________________ DESCRIPTION
The package Fuzzy is meant to solve common problems with floating-point numbers in a systematic way: o Comparing two numbers that are "supposed" to be identical, like 1.0 and 2.1/(1.2+0.9) is not guaranteed to give the intuitive result. o Rounding a number that is halfway two integer numbers can cause strange errors, like int(100.0*2.8) != 28 but 27 The Fuzzy package is meant to help sorting out this type of problems by defining "fuzzy" comparison procedures for floating-point numbers. It does so by allowing for a small margin that is determined automatically - the margin is three times the "epsilon" value, that is three times the smallest number eps such that 1.0 and 1.0+$eps canbe distinguished. In Tcl, which uses double precision floating-point numbers, this is typically 1.1e-16. PROCEDURES
Effectively the package provides the following procedures: ::math::fuzzy::teq value1 value2 Compares two floating-point numbers and returns 1 if their values fall within a small range. Otherwise it returns 0. ::math::fuzzy::tne value1 value2 Returns the negation, that is, if the difference is larger than the margin, it returns 1. ::math::fuzzy::tge value1 value2 Compares two floating-point numbers and returns 1 if their values either fall within a small range or if the first number is larger than the second. Otherwise it returns 0. ::math::fuzzy::tle value1 value2 Returns 1 if the two numbers are equal according to [teq] or if the first is smaller than the second. ::math::fuzzy::tlt value1 value2 Returns the opposite of [tge]. ::math::fuzzy::tgt value1 value2 Returns the opposite of [tle]. ::math::fuzzy::tfloor value Returns the integer number that is lower or equal to the given floating-point number, within a well-defined tolerance. ::math::fuzzy::tceil value Returns the integer number that is greater or equal to the given floating-point number, within a well-defined tolerance. ::math::fuzzy::tround value Rounds the floating-point number off. ::math::fuzzy::troundn value ndigits Rounds the floating-point number off to the specified number of decimals (Pro memorie). Usage: if { [teq $x $y] } { puts "x == y" } if { [tne $x $y] } { puts "x != y" } if { [tge $x $y] } { puts "x >= y" } if { [tgt $x $y] } { puts "x > y" } if { [tlt $x $y] } { puts "x < y" } if { [tle $x $y] } { puts "x <= y" } set fx [tfloor $x] set fc [tceil $x] set rounded [tround $x] set roundn [troundn $x $nodigits] TEST CASES
The problems that can occur with floating-point numbers are illustrated by the test cases in the file "fuzzy.test": o Several test case use the ordinary comparisons, and they fail invariably to produce understandable results o One test case uses [expr] without braces ({ and }). It too fails. The conclusion from this is that any expression should be surrounded by braces, because otherwise very awkward things can happen if you need accuracy. Furthermore, accuracy and understandable results are enhanced by using these "tolerant" or fuzzy comparisons. Note that besides the Tcl-only package, there is also a C-based version. REFERENCES
Original implementation in Fortran by dr. H.D. Knoble (Penn State University). P. E. Hagerty, "More on Fuzzy Floor and Ceiling," APL QUOTE QUAD 8(4):20-24, June 1978. Note that TFLOOR=FL5 took five years of refereed evolution (publication). L. M. Breed, "Definitions for Fuzzy Floor and Ceiling", APL QUOTE QUAD 8(3):16-23, March 1978. D. Knuth, Art of Computer Programming, Vol. 1, Problem 1.2.4-5. BUGS, IDEAS, FEEDBACK This document, and the package it describes, will undoubtedly contain bugs and other problems. Please report such in the category math :: fuzzy of the Tcllib SF Trackers [http://sourceforge.net/tracker/?group_id=12883]. Please also report any ideas for enhancements you may have for either package and/or documentation. KEYWORDS
floating-point, math, rounding math 0.2 math::fuzzy(n)
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