abstract-syntax-tree

I am trying to modify source code using eclipse plugin, JDT and AST (Abstract Syntax Tree). I can read all Java files and make operation on all those file, But when i am saving those changes (Edits) in to files using TextEdit edits = rewriter.rewriteAST(); // apply the text edits to the compilation unit edits.apply(document); iCompilationUnit.getBuffer().setContents(document.get()); It only make changes in file those are open in eclipse in unsaved mode. Rest of files are not affected. Find my code snippet below: CompilationUnit cu = parse(iCompilationUnit); MethodVisitor visitor = new

My requirement is to change ** operator to power function For example 1.Input -"B**2" Output - power(B,2) 2."B**2&&T**2*X" Output - power(B,2) I have wrote following regular expression to address that problem rx=r"([a-zA-Z0-9]+)\*\*([a-zA-Z0-9()]+)" result = regex.sub(rx, r"power(\1,\2)", expression, 0, regex.IGNORECASE | regex.MULTILINE) But above code successfully converting expression similar to the example 1 and example 2, but failed to convert expression like (a+1)**2 or ((a+b)*c)**2 . I realized regular expression is not the best way to handle such scenarios. Instead of that parsing will

I am quite new to Haskell and functional programming in general, so excuse me if the question seems straightforward or silly. I have a parser for a simple language that produces an abstract syntax tree. In order to flatten the AST (turn while and if statements into jumps) I need to put labels in the tree. The problem is that I do not know what the next label should be (I am still thinking imperatively, because if I had state, none of this would be a problem). The function that I have so far is the following: transform :: Stmt -> FStmt transform (Seq stmt) = FSeq (map transform stmt) transform

I am writing unit tests for my plugin that makes use of IType and IMethod interfaces from JDT. To write unit tests I would need to instantiate such interfaces. Answer to this question shows how to create AST model, but I don't know how to convert it into Java model? My code looks like this: String source = "package com.test\n" + "\n" + "import com.test.something;" + "\n" + "public class Class{\n" + "int sum(int a, int b)\n" + "}\n"; ASTParser parser = ASTParser.newParser(AST.JLS4); parser.setSource(source.toCharArray()); CompilationUnit unit = (CompilationUnit) parser.createAST(null); So I

I'd like to start a project that involves transforming C code, but I'd like to include the preprocessor directives. I don't want to reinvent the wheel by writing my own C parser, so does anyone know of a front-end that can parse C preprocessor and C code, and produce an AST that can be used to re-generate (or pretty-print) the original source? e.g.,: #define FILENAME "filename" #include <stdio.h> FILE *f=0; ... if (file_is_open) { #ifdef CAN_OPEN_IT f = fopen(FILENAME, "r"); #else printf("Unable to open file.\n"); #endif } The above code should be parsed into some in-memory representation that

I am trying to work on a script that manipulates another script in Python, the script to be modified has structure like: class SomethingRecord(Record): description = 'This records something' author = 'john smith' I use ast to locate the description line number, and I use some code to change the original file with new description string base on the line number. So far so good. Now the only issue is description occasionally is a multi-line string, e.g. description = ('line 1' 'line 2' 'line 3') or description = 'line 1' \ 'line 2' \ 'line 3' and I only have the line number of the first line, not

My question is about parsing expressions in R language. Let me jump right into an example: fun_text <- c(" 0 -> var f1 <- function() { 0 -> sum_var sum_var2 = 0 sum_var3 <- 0 } (function() { 0 -> sum_var sum_var2 = 0 sum_var3 <- 0 })->f2 f3 = function(x) { 0 -> sum_var sum_var2 = 0 sum_var3 <- 0 } ") fun_tree <- parse(text=fun_text) fun_tree fun_tree[[1]] fun_tree[[2]] fun_tree[[3]] fun_tree[[4]] After that, we obtain those results: expression(0 -> var, f1 <- function() { 0 -> sum_var sum_var2 = 0 sum_var3 <- 0 }, (function() { 0 -> sum_var sum_var2 = 0 sum_var3 <- 0 })->f2, f3 = function(x) {