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The function will read from an input stream and generate a Grammar as output The while loop looks like many that we've seen before: It reads a line at a time from in and stores what it read in line The while terminates when we run out of input or encounter invalid data The body of the while is astonishingly concise We use the split function from 611/103 to break the input into words, and store the resulting vector in a variable called entry If entry is empty, we saw a blank input line, so we disregard it Otherwise, we know that the first element in entry will be the category that we are defining We use this element as the index into ret The expression ret[entry[0]] yields the object of type Rule_collection that is associated with the category in entry[0], remembering that a Rule_collection is a vector, each element of which holds a Rule (or, equivalently, a vector<string>) Therefore, ret[entry[0]] is a vector, onto the back of which we push the rule that we just read That rule is in entry, starting with the second element; the first element in entry is the category We construct a new, unnamed Rule, by copying the elements from entry (except for the first element), and push that newly created Rule onto the back of the Rule_collection indexed by ret[entry[0]]

setActivePage(IEditorPart) Sets the active page of the multipage editor to the given editor If there is no active page, or if the active page does not have a corresponding editor, the argument is null

By borrowing from orgeclipseuieditorstextTextEditorActionand orgeclipseuitexteditorBasicTextEditorContributor ActionContributor, you will create your own contributor for the Properties

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Having read all the input, we must next generate a random sentence We know that our input will be a grammar, and that we want to produce a sentence Our output will be a vector<string> that represents the output sentence That's the easy part The more interesting problem is how the function should work We know that initially we'll need to find a rule that corresponds to <sentence> Moreover, we know that we are going to build our output in pieces, which we will assemble from various rules and parts of rules In principle, we could concatenate those pieces to form our result However, because there is no built-in concatenation operation for vectors, we will start with an empty vector and call push_back repeatedly on it These two constraints starting with <sentence>, and calling push_back repeatedly on an initially empty vector suggest that we are going to want to define our sentence generator in terms of an auxiliary function, which we will call as follows:

editor This contributor hooks up global actions (eg, cut, copy, paste, etc in the Edit menu) appropriate not only to the active editor but also to the active page within the editor

This idiom is useful for random access List implementations such as ArrayList and Vector because it is likely to run faster than the preferred idiom above for such lists The important thing to notice about this idiom is that it has two loop variables, i and n, both of which have exactly the right scope The use of the second variable is essential to the performance of the idiom Without it, the loop would have to call the size method once per iteration, which would negate the performance advantage of the idiom Using this idiom is acceptable when you're sure the list really does provide random access; otherwise, it displays quadratic performance Similar idioms exist for other looping tasks, for example,

package comqualityeclipsefavoriteseditors; import public class PropertiesEditorContributor extends EditorActionBarContributor { private static final String[] WORKBENCH_ACTION_IDS = { ActionFactoryDELETEgetId(), ActionFactoryUNDOgetId(), ActionFactoryREDOgetId(), ActionFactoryCUTgetId(), ActionFactoryCOPYgetId(), ActionFactoryPASTEgetId(), ActionFactorySELECT_ALLgetId(), ActionFactoryFINDgetId(), IDEActionFactoryBOOKMARKgetId(), }; private static final String[] TEXTEDITOR_ACTION_IDS = { ActionFactoryDELETEgetId(), ActionFactoryUNDOgetId(), ActionFactoryREDOgetId(), ActionFactoryCUTgetId(), ActionFactoryCOPYgetId(), ActionFactoryPASTEgetId(), ActionFactorySELECT_ALLgetId(), ActionFactoryFINDgetId(), IDEActionFactoryBOOKMARKgetId(), }; public void setActiveEditor(IEditorPart part) { PropertiesEditor editor = (PropertiesEditor) part; setActivePage(editor, editorgetActivePage()); } public void setActivePage( PropertiesEditor editor, int pageIndex ) { IActionBars actionBars = getActionBars(); if (actionBars != null) { switch (pageIndex) { case 0 : hookGlobalTreeActions(editor, actionBars); break; case 1 : hookGlobalTextActions(editor, actionBars); break; } actionBarsupdateActionBars(); } }

vector<string> gen_sentence(const Grammar& g) { vector<string> ret; gen_aux(g, "<sentence>", ret); return ret; }

To modify the visibleWhen expression, right-click on the iterate element and select New > and Drag the or element onto the and element so that it becomes the and element s first child element Right-click on the and element just created and select New > test, then modify the test element s properties as follows: property = comqualityeclipsefavoritesnotFavorite The fully qualified name of the property to be tested The fully qualified name is the propertyTester s namespace followed by the name of the property to be tested separated by a dot args = leave this blank A comma-separated list of additional arguments No additional arguments need to be passed to our property tester value = leave this blank The expected value for the property Our tester tests a boolean property and needs no expected value forcePluginActivation = leave this blank Agressively activates the plug-in if it is not already active See discussion below for more information

In effect, the call to gen_aux is a request to use the grammar g to generate a sentence according to the <sentence> rule, and to append that sentence to ret Our remaining task is to define gen_aux Before we do so, we note that gen_aux will have to determine whether a word represents a category, which it will do by checking whether the word is bracketed We shall, therefore, define a predicate to do so:

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