simplay
/ own_dsl.rb
Created
May 21, 2013 18:30
event monitoring system - example for scope, blocks, procs, lambdas in ruby
source: metaprogramming-ruby
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| lambda { | |
| setups = [] | |
| events = {} | |
| Kernel.send :define_method, :event do |name, &block| | |
| events[name] = block | |
| end | |
| Kernel.send :define_method, :setup do |&block| | |
| setups << block | |
| end |
simplay
/ refactoring_using_metaprogrammin.rb
Created
May 20, 2013 14:57
Refactoring in Ruby
using dynamic methods and dynamic dispatch (1)
using dynamic proxy that is also a blank slate (2) source: book - metaprogramming-ruby
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| # given class Computer: refactor me | |
| class Computer | |
| def initialize(computer_id, data_source) | |
| @id = computer_id | |
| @data_source = data_source | |
| end | |
| def mouse | |
| info = @data_source.get_mouse_info(@id) | |
| price = @data_source.get_mouse_price(@id) |
simplay
/ Ruby_Lambda_Fun_Numerical _Integration_Trapezoid.rb
Last active
April 22, 2022 15:23
# Numerical Integraion over real domain of real 1d valued functions using Newton-Cotes approximation.
# NB1: Error of approximation in O(f'' * (b-a)^3 )
# NB2: In practice quite usable for many common functions, like affine, trigonomatric function
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| # D subset |R Domain over which we integrate - sample D = [1,10] | |
| D = (1..10).to_a | |
| # f:|R->|R function - sample x |-> f(x) := x^2 | |
| f = lambda {|x| x*x} | |
| # summation of function values over our domain | |
| summator = lambda {|function, domain| domain.inject(0){|x,y| x += function.call(y)} } | |
| # Integrations Driver (for real valued 1d functions only) - assumption: integration steps equidistant |
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