fix sched compare regression
[official-gcc.git] / contrib / jit-coverage-report.py
blob529336f59fbfe729da8c3a16ea1508863ac8bd37
1 #! /usr/bin/python
3 # Print a report on which libgccjit.so symbols are used in which test
4 # cases, and which lack test coverage. Tested with Python 2.7 and 3.2
5 # To be run from the root directory of the source tree.
7 # Copyright (C) 2014 Free Software Foundation, Inc.
8 # Written by David Malcolm <dmalcolm@redhat.com>.
10 # This script is Free Software, and it can be copied, distributed and
11 # modified as defined in the GNU General Public License. A copy of
12 # its license can be downloaded from http://www.gnu.org/copyleft/gpl.html
14 from collections import Counter
15 import glob
16 import re
17 import sys
19 def parse_map_file(path):
20 """
21 Parse libgccjit.map, returning the symbols in the API as a list of str.
22 """
23 syms = []
24 with open(path) as f:
25 for line in f:
26 m = re.match('^\s+([a-z_]+);$', line)
27 if m:
28 syms.append(m.group(1))
29 return syms
31 def parse_test_case(path):
32 """
33 Locate all symbol-like things in a C test case, yielding
34 them as a sequence of str.
35 """
36 with open(path) as f:
37 for line in f:
38 for m in re.finditer('([_A-Za-z][_A-Za-z0-9]*)', line):
39 yield m.group(1)
41 def find_test_cases():
42 for path in glob.glob('gcc/testsuite/jit.dg/*.[ch]'):
43 yield path
45 api_syms = parse_map_file('gcc/jit/libgccjit.map')
47 syms_in_test_cases = {}
48 for path in find_test_cases():
49 syms_in_test_cases[path] = list(parse_test_case(path))
51 uses = Counter()
52 for sym in sorted(api_syms):
53 print('symbol: %s' % sym)
54 uses[sym] = 0
55 for path in syms_in_test_cases:
56 count = syms_in_test_cases[path].count(sym)
57 uses[sym] += count
58 if count:
59 print(' uses in %s: %i' % (path, count))
60 if uses[sym] == 0:
61 print(' NEVER USED')
62 sys.stdout.write('\n')
64 layout = '%40s %5s %s'
65 print(layout % ('SYMBOL', 'USES', 'HISTOGRAM'))
66 for sym, count in uses.most_common():
67 print(layout % (sym, count, '*' * count if count else 'UNUSED'))