Start copying resolution/inference data from front end to analyzer ASTs.

pkg/front_end/tool/fasta_perf.dart

 // Copyright (c) 2017, the Dart project authors.  Please see the AUTHORS file
 // for details. All rights reserved. Use of this source code is governed by a
 // BSD-style license that can be found in the LICENSE file.
 
 /// An entrypoint used to run portions of fasta and measure its performance.
 library front_end.tool.fasta_perf;
 
 import 'dart:async';
 import 'dart:io';
 
@@ skipping 176 matching lines @@
 /// Parse the full body of [source].
 parseFull(Uri uri, List<int> source) {
   var tokens = tokenize(source);
   Parser parser = new Parser(new _PartialAstBuilder(uri));
   parser.parseUnit(tokens);
 }
 
 // Note: AstBuilder doesn't build compilation-units or classes, only method
 // bodies. So this listener is not feature complete.
 class _PartialAstBuilder extends AstBuilder {
-  _PartialAstBuilder(Uri uri) : super(null, null, null, null, null, true, uri);
+  _PartialAstBuilder(Uri uri)
+      : super(null, null, null, null, null, true, true, uri);
 
   // Note: this method converts the body to kernel, so we skip that here.
   @override
   finishFunction(annotations, formals, asyncModifier, body) {}
 }
 
 // Invoke the fasta kernel generator for the program starting in [entryUri]
 generateKernel(Uri entryUri,
     {bool compileSdk: true, bool strongMode: false}) async {
   // TODO(sigmund): this is here only to compute the input size,
@@ skipping 37 matching lines @@
 /// Report that metric [name] took [time] micro-seconds to process
 /// [inputSize] characters.
 void report(String name, int time) {
   var sb = new StringBuffer();
   var padding = ' ' * (20 - name.length);
   sb.write('$name:$padding $time us, ${time ~/ 1000} ms');
   var invSpeed = (time * 1000 / inputSize).toStringAsFixed(2);
   sb.write(', $invSpeed ns/char');
   print('$sb');
 }