<rdar://problem/13069948>
Major fixed to allow reading files that are over 4GB. The main problems were that the DataExtractor was using 32 bit offsets as a data cursor, and since we mmap all of our object files we could run into cases where if we had a very large core file that was over 4GB, we were running into the 4GB boundary.
So I defined a new "lldb::offset_t" which should be used for all file offsets.
After making this change, I enabled warnings for data loss and for enexpected implicit conversions temporarily and found a ton of things that I fixed.
Any functions that take an index internally, should use "size_t" for any indexes and also should return "size_t" for any sizes of collections.
git-svn-id: https://llvm.org/svn/llvm-project/lldb/trunk@173463 91177308-0d34-0410-b5e6-96231b3b80d8
diff --git a/examples/python/operating_system.py b/examples/python/operating_system.py
index 2040632..cd4ae37 100644
--- a/examples/python/operating_system.py
+++ b/examples/python/operating_system.py
@@ -25,8 +25,9 @@
return self.process.target
def create_thread(self, tid, context):
+ print 'tid type is: ' + str(type(tid))
if tid == 0x444444444:
- thread_info = { 'tid' : 0x444444444, 'name' : 'four' , 'queue' : 'queue4', 'state' : 'stopped', 'stop_reason' : 'none' }
+ thread_info = { 'tid' : tid, 'name' : 'four' , 'queue' : 'queue4', 'state' : 'stopped', 'stop_reason' : 'none' }
self.threads.append(thread_info)
return thread_info
return None