[Arjen Markus] (17 october 2008) Normally I do not use any (formal) [OO] system to create my [Tcl] programs or libraries. But yesterday I bit the bullet - here is a small experiment to make a [Snit] type to store and manipulate data. Nothing fancy and certainly not something actually useful, I just wanted to get a feel for Snit (or any other kind of Tcl OO system). Some remarks (see also the code): * I do not know if it is (easily) possible to extend or modify a Snit object with new methods or fields. Such a facility would be handly : have a ''type'' that represents a mathematical function (with integration and root finding methods for instance) and different ''objects'' that each define their own function. * I have no idea how to make an expression like {$x > $y} behave correctly, that is: x is a local variable in the filter, but y is passed on from the caller. [[[apply]]] should do the trick I guess or [[[subst]]] ... Anyway I was too lazy to examine that. * Creating a new object within a method seems to misbehave a bit - or rather: not behave as I wanted. Probably should add some [[[namespace[]] wizardry. [NEM] 18Oct08: I've changed the code below to fix some of these problems and use some more snit features. Hope the changes are useful! ---- ====== # wrap_stat.tcl -- # Small experiment with Snit and wrapping some of the # numerical functions in Tcllib, to get a more object-oriented # approach. # # Some remarks: # - dataset is a new command inside the mySnitExperiment, but it # is not imported into the filter method. # - without the global namespace in the call to filter (main code), # the new object will reside in the mySnitExperiment namespace. # - because I was too lazy to try and do it the more elegant way, # the expression is not surrounded by braces, but explicitly # escapes the $ before x. (y gets substituted, x not). # # Question: # Can I define new methods on the fly for a particular object or # redefine existing ones? # package require snit package require math::statistics namespace eval mySnitExperiment { namespace import ::math::statistics::* # dataset -- # Define a simple Snit type that contains data and can deal with # statistical operations on these data. Could be extended to # include plotting functionality. # ::snit::type dataset { option -data -default {} -configuremethod ChangeData variable mean {} variable cached 0 constructor args { $self configurelist $args } method ChangeData {option value} { set options($option) $value ;# commit change set cached 0 } method setdata {data} { $self configure -data $data } method get {} { return $options(-data) } method mean {} { if { ! $cached } { set mean [::math::statistics::mean $options(-data)] set cached 1 } return $mean } # # Filter creates a new object with data that conform to # some predicate, p. # method filter {name p} { set newData {} foreach x $options(-data) { if {[{*}$p $x]} { lappend newData $x } } return [$type create $name -data $newData] } } } # Separate construction of functions/predicates from application proc func {params body args} { list ::apply [list $params [list expr $body]] {*}$args } # main -- # Test this very basic data type # ::mySnitExperiment::dataset create series1 series1 setdata {1 2 3 4 5 6} puts "Data: [series1 get]" puts "Mean: [series1 mean]" set y 4 series1 filter ::series2 [func {y x} {$x > $y} $y] puts "Filtered data: [series2 get]" ====== ---- !!!!!! %| [Category Snit] |% !!!!!!