Remove untrampolining, untransformed getTopLevelVars for now

src/dependency-analysis.js

@@ -60,14 +60,6 @@ function m() {
 
 var ast = esprima.parse(m.toString())
 
-var untrampoline = function(ast) {
- replace(ast,
- {enter: function(node, parent) {
-
- }}
- )
-}
-
 var getReturnVariables = function(ast) {
  var rets = [];
  // find where we call the _k1 continuation and extract those arguments (minus globalStore)
@@ -85,23 +77,6 @@ var getReturnVariables = function(ast) {
  return rets;
 }
 
-// undo the trampolining
-
-
-// MOCK
-var mUntrampolined = [
- '(function() {',
- 'var x = flip(0.5); // [x]',
- 'var y = repeat(2, x ? gaussian(0,1) : beta(2,2)); // [x,y]', // TODO: second arg should be a function, not a value
- 'var z = map(function (x) { var y = x + 1; return y }, y); // [x,y,x]',
- 'return z',
- '})'
-].join('\n')
-
-
-var astUntrampolined = esprima.parse(mUntrampolined);
-
-
 // _ast must be untrampolined
 var uniqueNames = function(_ast) {
  var ast = lodash.cloneDeep(_ast);
@@ -226,18 +201,8 @@ var uniqueNames = function(_ast) {
 
 var ast2 = uniqueNames(ast);
 
-// TODO: make this work for the transformed code
-// TODO: filter out variables that are entirely deterministic (i.e., neither random nor derived from random)
-var getTopLevelVarsUntransformed = function(ast) {
- return _.chain(ast.body[0].expression.body.body)
- .where({type: 'VariableDeclaration'})
- .pluck('declarations')
- .flatten()
- .pluck('id')
- .pluck('name')
- .value();
-}
 
+// TODO: filter out variables that are entirely deterministic (i.e., neither random nor derived from random)
 var getTopLevelVars = function(ast) {
  var vars = [];
  var whitelistContinuation = true; // the top level continuation in a model function has an _address in it, so we don't count it as a lower-level cont