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The Lounge What is on Your Mind? Cut Over to New Data Center and Upgraded OS Done. :) Post 303022893 by Neo on Sunday 9th of September 2018 01:38:21 AM
Old 09-09-2018
Quote:
Originally Posted by Aia
I would like to repeat that it is all about CI/CD ( I do not have to highlight it since I made myself clear before). Companies (customers) that do not implement CI/CD for the most part do not appreciate the evolution to the Cloud. Thanks to Cloud computing and the implementation of automation the speed of developing and delivering time for applications is faster. I enjoy engineering systems that almost do not require manual intervention from the moment that we commit code to source control.
I have enjoyed seen teams confidence raise by the nature of CI, knowing that tests are well crafted, and real to what it will show in production. That a whole piece of infrastructure is created at demand, automatically for CI and once that the fast feedback is reported, it is brought down until the next test, which it could be some few minutes later. This is not a buzzword, it is real results that benefits organizations that wants faster deployments without compromising quality assurance and I have the fortune to work doing that. There is pride in me when I know I have engineered a system that provides reproducible results and that has been committed to source control and that can be brought to life in several minutes.
In fact, with the utilization of containers now I can even provide quicker infrastructure where immutability is possible.
It is not my intention to convince anyone (I am not in that business) but I want to reintegrate my original statement.
That's all great, and well written, but it has little to do with UNIX.COM moving our legacy server over to a new data center and upgrading.

If I moved it to the cloud, I would consider that a downgrade, not an upgrade, LOL

We have been on the cloud before... it's not an upgrade for UNIX.COM and our server.

Moving UNIX.COM to "the cloud" would be a downgrade, at least based on my experience.

And in closing moving to the cloud would not provide UNIX.COM:

Quote:
Continuous Integration and Continuous Delivery and Continuous Deployment.
This I know as a fact from years of experience.
Cheers.
This User Gave Thanks to Neo For This Post:
 

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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 CATEGORY
Mathematics math 0.2 math::fuzzy(n)
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