forked from GitHub/gf-core
some missing pieces of documentation for Java
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@@ -396,6 +396,13 @@ a tree into a function name and a list of arguments:
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Prelude PGF2> unApp e
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Just ("AdjCN", [..., ...])
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</pre>
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<pre class="java">
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ExprApplication app = e.unApp();
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System.out.println(app.getFunction());
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for (Expr arg : app.getArguments()) {
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System.out.println(arg);
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}
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</pre>
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</p>
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<p>
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<span class="python">
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@@ -420,6 +427,17 @@ For example the result from:
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Prelude PGF2> readExpr "\"literal\"" >>= unStr
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"literal"
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</pre>
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<span class="java">
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The result from <tt>unApp</tt> is not <tt>null</tt> if the expression
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is an application, and <tt>null</tt> in all other cases.
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Similarly, if the tree is a literal string then the return value
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from <tt>unStr</tt> will not be <tt>null</tt> with the actual literal.
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For example the output from:
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</span>
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<pre class="java">
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Expr e = Expr.readExpr("\"literal\"")
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System.out.println(e.unStr())
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</pre>
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is just the string "literal".
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<span class="python">Situations like this can be detected
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in Python by checking the type of the result from <tt>unpack</tt>.
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@@ -489,6 +507,14 @@ Prelude PGF2> print e2
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DetCN (DetQuant IndefArt NumSg) (AdjCN (PositA red_A) (UseN theatre_N))
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</pre>
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</span>
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<span class="java">
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using the constructor for <tt>Expr</tt>:
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<pre class="java">
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Expr quant = Expr.readExpr("DetQuant IndefArt NumSg");
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Expr e2 = new Expr("DetCN", new Expr[] {quant, e});
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System.out.println(e2);
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</pre>
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</span>
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<span class="python">
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<h2>Embedded GF Grammars</h2>
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@@ -653,8 +679,7 @@ AdjCN (PositA red_A) (UseN theatre_N)
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</pre>
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<pre class="java">
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Expr e = gr.checkExpr(e,Type.readType("CN"))
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>>> System.out.println(e)
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AdjCN (PositA red_A) (UseN theatre_N)
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System.out.println(e)
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</pre>
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<p>In case of type error you will get an error:
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<pre class="python">
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@@ -668,7 +693,7 @@ Prelude PGF2> putStrLn msg
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</pre>
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<pre class="java">
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Expr e = gr.checkExpr(e,Type.readType("A"))
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pgf.TypeError: The expected type of the expression AdjCN (PositA red_A) (UseN theatre_N) is A but CN is infered
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TypeError: The expected type of the expression AdjCN (PositA red_A) (UseN theatre_N) is A but CN is infered
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</pre></p>
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<span class="python">
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@@ -800,6 +825,20 @@ n3 -- n4 [style = "solid"]
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n0 -- n3 [style = "solid"]
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}
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</pre>
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<pre class="java">
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System.out.println(gr.graphvizAbstractTree(e))
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graph {
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n0[label = "AdjCN", style = "solid", shape = "plaintext"]
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n1[label = "PositA", style = "solid", shape = "plaintext"]
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n2[label = "red_A", style = "solid", shape = "plaintext"]
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n1 -- n2 [style = "solid"]
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n0 -- n1 [style = "solid"]
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n3[label = "UseN", style = "solid", shape = "plaintext"]
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n4[label = "theatre_N", style = "solid", shape = "plaintext"]
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n3 -- n4 [style = "solid"]
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n0 -- n3 [style = "solid"]
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}
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</pre>
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<pre class="python">
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>>> print(eng.graphvizParseTree(e))
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@@ -874,6 +913,43 @@ graph {
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n0 -- n100000
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n2 -- n100001
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}
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</pre>
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<pre class="java">
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System.out.println(eng.graphvizParseTree(e))
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graph {
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node[shape=plaintext]
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subgraph {rank=same;
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n4[label="CN"]
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}
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subgraph {rank=same;
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edge[style=invis]
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n1[label="AP"]
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n3[label="CN"]
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n1 -- n3
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}
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n4 -- n1
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n4 -- n3
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subgraph {rank=same;
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edge[style=invis]
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n0[label="A"]
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n2[label="N"]
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n0 -- n2
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}
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n1 -- n0
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n3 -- n2
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subgraph {rank=same;
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edge[style=invis]
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n100000[label="red"]
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n100001[label="theatre"]
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n100000 -- n100001
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}
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n0 -- n100000
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n2 -- n100001
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}
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</pre>
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</body>
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