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[Serializable] public class StoreCollection : CollectionBase { public StoreCollection() { } public StoreCollection(Store[] value) { this.AddRange(value); } public Store this[int index] { get { return ((Store)(this.List[index])); } } public int Add(Store value) { return this.List.Add(value); } public void AddRange(Store[] value) { for (int i = 0; (i < value.Length); i = (i + 1)) { this.Add(value[i]); } }

require 'mongrel' require 'fastercsv' require 'remarkably/engines/xml'

s Caution The methods you defined did not specify an argument, so passing an argument to them results

(puts "usage: #{$0} csv_file_1 csv_file_2..."; exit) unless ARGV.length >=1 class StocksList def initialize @symbols = [] end def load_csv(files) valid_symbol_labels = ['Symbol'] files.each do |file| rows = FasterCSV.parse(open(file)) first_row= rows.shift symbol_index = nil first_row.each_with_index do |label, index| if(valid_symbol_labels.include (label)) symbol_index = index break end end if symbol_index.nil puts "Can't find symbol index on first row in file #{file}." else @symbols = @symbols + rows.map { |r| r[symbol_index] }.delete_if { |s| s.nil or s =='' } end end end include Remarkably::Common def to_xml # Output our stocks list as XML xml do symbols do @symbols.each do |s| symbol s end end end.to_s end end

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public void AddRange(StoreCollection value) { for (int i = 0; (i < value.Count); i = (i + 1)) { this.Add((Store)value.List[i]); } } public bool Contains(Store value) { return this.List.Contains(value); } public void CopyTo(Store[] array, int index) { this.List.CopyTo(array, index); } public int IndexOf(Store value) { return this.List.IndexOf(value); } public void Insert(int index, Store value) { List.Insert(index, value); } public void Remove(Store value) { List.Remove(value); } public new StoreEnumerator GetEnumerator() { return new StoreEnumerator(this); } public class StoreEnumerator : IEnumerator { private IEnumerator _enumerator; private IEnumerable _temp; public StoreEnumerator(StoreCollection mappings) { _temp = ((IEnumerable)(mappings)); _enumerator = _temp.GetEnumerator(); }

Classes can have arguments, which are listed after the name of the class. These arguments can be any valid OCaml type. Constructor arguments are available even after the object has been constructed. # class livingargs x y = object method print_sum_of_args = Printf.printf "%i\n" (x + y) end;; class livingargs : int -> int -> object method print_sum_of_args : unit end # let l = new livingargs 10 20;; val l : livingargs = <obj> # l#print_sum_of_args;; 30 - : unit = () #

class StocksListHandler < Mongrel::HttpHandler def initialize(stocks_list) @stocks_list = stocks_list super() end def process(request, response) response.start(200) do |headers, output_stream| headers["Content-Type"] = "text/xml" output_stream.write(@stocks_list.to_xml) end end end

In this section, you ll learn about the debugging tools that come with Visual Studio 2005 and how they help with debugging Ajax applications.

The word_count_map_reduce function implements the map and the reduce It actually implements two MapReduces; the first one is the filter function Listfilter can actually be thought of as a simple form of the MapReduce concept It is somewhat limited in the fact that the map calculation must return a Boolean, and the input data is not modified In this case, the result is the normal files (by name) in a given directory The function then counts the number of words in each file This list of word counts is then reduced to a total using the fold_left operation, and the result is the total number of words divided by the number of files let word_count_map_reduce directory = let files = Listfilter (fun x -> let ftype = (Unixstat (Filenameconcat directory x))Unixst_kind in match ftype with UnixS_REG -> true | _ -> false) (Array.

stocks_list = StocksList.new stocks_list.load_csv(ARGV) interface = '127.0.0.1' port = '3000' mongrel_server = Mongrel::HttpServer.new( interface, port) mongrel_server.register("/", StocksListHandler.new(stocks_list)) puts "** Fidelity XML server started on #{interface}:#{port}!" mongrel_server.run.join

to_list (Sysreaddir directory)) in let counts = Listmap fun x -> let ic = open_in (Filenameconcat directory x) in let lb = Lexingfrom_channel ic in let l,w,c = countemup lb 0 0 0 in close_in ic; w ) files in let numfiles = Listlength counts in (Listfold_left (+) 0 counts) / numfiles;; This example doesn t provide very much useful code, though There are other ways to get the average number of words in a given set of files What if you want to know the most frequent words in a given group of files Also, the single function used previously is probably best broken into smaller chunks Following is the get_files function, which gets the normal files in a given directory let get_files directory = Listfilter (fun x -> let ftype = (Unixstat (Filenameconcat directory x))Unix.

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