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Figure 4-6. Output of the Dictionary example The code is pretty similar to the ArrayList example. After instantiating dojox. collections.Dictionary, as with the ArrayList, the add() method is used to add elements to the Dictionary. In this case, however, the method takes two values: the key and the value to map to the key. We can again iterate over the Dictionary, which is actually iterating over the values. If we d instead prefer to iterate over the keys, we can do so by using the getKeyList() method, which returns an array that we can then iterate through: var keys = dy.getKeyList(); for (var i = 0; i < keys.length; i++) { dojo.byId("divOutput").innerHTML += " - " + keys[i] + "<br>"; } Similarly, the getValuesList() method gives us the same thing as getIterator() does, but like getKeyList(), it gives us an array rather than an Iterator. We can check whether a given key exists in the Dictionary by calling the containsKey() method, passing it the key to check for. The containsValue() method works the same way but checks the collection of values instead. We can get the value for a given key by calling entry() and passing it the key to look up. The remove() method, which is passed a key value, can be used to remove a given key/value pair from the Dictionary. The clear() method will clear the Dictionary entirely, and we can ensure that either worked by checking the count attribute, which gives us the number of items currently in the Dictionary.

Let s examine who the actors are in this matching process Two counterparties, at a minimum, are required with opposing views to trade with each other after all, one must be willing to buy when another is willing to sell And their orders must converge on a common platform, which is the exchange Generally, exchanges support two forms of trading: Oral auctions Electronic trading In an oral auction, traders meet each other face to face on the exchange s trading floor They shout their bids and offer prices for other traders to hear; the other traders constantly write down these quotes When two traders agree on a price and an associated quantity, a transaction takes place Some traders may provide a two-way quotation (a bid price and an asking price) and enter into a transaction only with another trader willing to take the offer or accept the bid.

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A Stack is another extremely common data structure. Although there are other kinds, you ll usually deal with what s known as a FILO stack, FILO standing for first in, last out. So, every time you add an element to a Stack, it s conceptually added to the front (unlike an ArrayList, where the element is added at the end). With a Stack, however, you generally talk about the top of the Stack because the Stack is pictured as being vertical. Each element added pushes down all the other items lower into the Stack. That s called pushing onto the Stack. Later you do what s called popping off the Stack, which means the item at the top is removed and the next item now moves to the top. All of that I suspect you already knew just fine, so let s just move on to the code! Listing 4-3 shows an example of using Dojo s Stack implementation. Listing 4-3. Stack Example (ch4_collections_Stack.htm) <html> <head> <script type="text/javascript"> var djConfig = { baseScriptUri : "js/dojo/", parseOnLoad : true }; </script> <script type="text/javascript" src="js/dojo/dojo/dojo.js"></script> <script> dojo.require("dojox.collections.Stack"); function testIt() { var st = new dojox.collections.Stack(); st.push("Romeo"); st.push("Juliet"); st.push("Sam"); st.push("Diane"); dojo.byId("divOutput").innerHTML += "<br>Stack via toArray() after 4 push()'s: " + st.toArray(); dojo.byId("divOutput").innerHTML += "<br>Stack via iterator:<br>"; var it = st.getIterator(); while (!it.atEnd()) { dojo.byId("divOutput").innerHTML += " - " + it.get() + "<br>"; } var ret = st.pop(); dojo.byId("divOutput").innerHTML += "Stack after pop'ing: " + st.toArray();

Oral auctions are the conventional form of trading used in absence of automation, but with the advent of electronic trading, they are on verge of decline Electronic trading offers the same function through a computer and a trading screen Traders log their orders through the trading system, and their orders are recorded in the exchange s order book These orders are then considered for potential matches as designated per the order-matching rules and algorithm defined by exchange The most common matching logic uses the concept of priority based on price and time: All buy orders received by the exchange are first sorted in descending order of bid price and in ascending order of time for the same prices This means orders where traders are willing to pay the highest price are kept on the top, reflecting the highest priority.

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