1 # Given a path to llvm-objdump and a directory tree, spider the directory tree
2 # dumping every object file encountered with correct options needed to demangle
3 # symbols in the object file, and collect statistics about failed / crashed
4 # demanglings. Useful for stress testing the demangler against a large corpus
7 from __future__
import print_function
16 from multiprocessing
import Pool
17 import multiprocessing
23 question
= line
.find("?")
27 open_paren
= line
.find("(", question
)
30 close_paren
= line
.rfind(")", open_paren
)
33 mangled
= line
[question
:open_paren
]
34 demangled
= line
[open_paren
+ 1 : close_paren
]
35 return mangled
.strip(), demangled
.strip()
47 class MapContext(object):
49 self
.rincomplete
= None
50 self
.rcumulative
= Result()
51 self
.pending_objs
= []
55 def process_file(path
, objdump
):
59 popen_args
= [objdump
, "-t", "-demangle", path
]
60 p
= subprocess
.Popen(popen_args
, stdout
=subprocess
.PIPE
, stderr
=subprocess
.PIPE
)
61 stdout
, stderr
= p
.communicate()
66 output
= stdout
.decode("utf-8")
68 for line
in output
.splitlines():
69 mangled
, demangled
= parse_line(line
)
73 if "invalid mangled name" in demangled
:
78 def add_results(r1
, r2
):
79 r1
.crashed
.extend(r2
.crashed
)
80 r1
.errors
.update(r2
.errors
)
81 r1
.nsymbols
+= r2
.nsymbols
82 r1
.nfiles
+= r2
.nfiles
85 def print_result_row(directory
, result
):
87 "[{0} files, {1} crashes, {2} errors, {3} symbols]: '{4}'".format(
97 def process_one_chunk(pool
, chunk_size
, objdump
, context
):
103 while context
.npending
> 0 and len(objs
) < chunk_size
:
104 this_dir
= context
.pending_objs
[0][0]
105 ordered_dirs
.append(this_dir
)
107 if context
.rincomplete
is not None:
108 re
= context
.rincomplete
109 context
.rincomplete
= None
111 dir_results
[this_dir
] = re
114 nneeded
= chunk_size
- len(objs
)
115 objs_this_dir
= context
.pending_objs
[0][1]
116 navail
= len(objs_this_dir
)
117 ntaken
= min(nneeded
, navail
)
118 objs
.extend(objs_this_dir
[0:ntaken
])
119 remaining_objs_this_dir
= objs_this_dir
[ntaken
:]
120 context
.pending_objs
[0] = (context
.pending_objs
[0][0], remaining_objs_this_dir
)
121 context
.npending
-= ntaken
123 context
.pending_objs
.pop(0)
129 assert len(objs
) == chunk_size
or context
.npending
== 0
131 copier
= functools
.partial(process_file
, objdump
=objdump
)
132 mapped_results
= list(pool
.map(copier
, objs
))
134 for mr
in mapped_results
:
135 result_dir
= os
.path
.dirname(mr
.file)
136 result_entry
= dir_results
[result_dir
]
137 add_results(result_entry
, mr
)
139 # It's only possible that a single item is incomplete, and it has to be the
142 context
.rincomplete
= dir_results
[ordered_dirs
[-1]]
145 # Now ordered_dirs contains a list of all directories which *did* complete.
146 for c
in ordered_dirs
:
148 add_results(context
.rcumulative
, re
)
149 print_result_row(c
, re
)
152 def process_pending_files(pool
, chunk_size
, objdump
, context
):
153 while context
.npending
>= chunk_size
:
154 process_one_chunk(pool
, chunk_size
, objdump
, context
)
161 extensions
= args
.extensions
.split(",")
162 extensions
= [x
if x
[0] == "." else "." + x
for x
in extensions
]
165 pool
= Pool(processes
=pool_size
)
169 context
= MapContext()
171 for root
, dirs
, files
in os
.walk(obj_dir
):
172 root
= os
.path
.normpath(root
)
175 file, ext
= os
.path
.splitext(f
)
176 if not ext
in extensions
:
180 full_path
= os
.path
.join(root
, f
)
181 full_path
= os
.path
.normpath(full_path
)
182 pending
.append(full_path
)
184 # If this directory had no object files, just print a default
185 # status line and continue with the next dir
186 if len(pending
) == 0:
187 print_result_row(root
, Result())
190 context
.npending
+= len(pending
)
191 context
.pending_objs
.append((root
, pending
))
192 # Drain the tasks, `pool_size` at a time, until we have less than
193 # `pool_size` tasks remaining.
194 process_pending_files(pool
, pool_size
, args
.objdump
, context
)
196 assert context
.npending
< pool_size
197 process_one_chunk(pool
, pool_size
, args
.objdump
, context
)
199 total
= context
.rcumulative
200 nfailed
= len(total
.errors
)
201 nsuccess
= total
.nsymbols
- nfailed
202 ncrashed
= len(total
.crashed
)
206 for m
in sorted(total
.errors
):
210 for f
in sorted(total
.crashed
):
213 spct
= float(nsuccess
) / float(total
.nsymbols
)
214 fpct
= float(nfailed
) / float(total
.nsymbols
)
215 cpct
= float(ncrashed
) / float(nfiles
)
216 print("Processed {0} object files.".format(nfiles
))
218 "{0}/{1} symbols successfully demangled ({2:.4%})".format(
219 nsuccess
, total
.nsymbols
, spct
222 print("{0} symbols could not be demangled ({1:.4%})".format(nfailed
, fpct
))
223 print("{0} files crashed while demangling ({1:.4%})".format(ncrashed
, cpct
))
226 traceback
.print_exc()
232 if __name__
== "__main__":
233 def_obj
= "obj" if sys
.platform
== "win32" else "o"
235 parser
= argparse
.ArgumentParser(
236 description
="Demangle all symbols in a tree of object files, looking for failures."
239 "dir", type=str, help="the root directory at which to start crawling"
244 help="path to llvm-objdump. If not specified "
245 + "the tool is located as if by `which llvm-objdump`.",
251 help="comma separated list of extensions to demangle (e.g. `o,obj`). "
252 + "By default this will be `obj` on Windows and `o` otherwise.",
255 args
= parser
.parse_args()
257 multiprocessing
.freeze_support()