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authorGreg Clayton <gclayton@apple.com>2013-01-25 18:06:21 +0000
committerGreg Clayton <gclayton@apple.com>2013-01-25 18:06:21 +0000
commitc7bece56faa5eef1c3d141d0c0b0b68b28a9aed2 (patch)
tree9a0132fc3b0bb4f38d06a0f352ee75ac57994771 /lldb/examples/python/operating_system.py
parentd0ed6c249dbd6bd488b6491b536a387548c00f7e (diff)
downloadbcm5719-llvm-c7bece56faa5eef1c3d141d0c0b0b68b28a9aed2.tar.gz
bcm5719-llvm-c7bece56faa5eef1c3d141d0c0b0b68b28a9aed2.zip
<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. llvm-svn: 173463
Diffstat (limited to 'lldb/examples/python/operating_system.py')
-rw-r--r--lldb/examples/python/operating_system.py3
1 files changed, 2 insertions, 1 deletions
diff --git a/lldb/examples/python/operating_system.py b/lldb/examples/python/operating_system.py
index 204063298bf..cd4ae37f854 100644
--- a/lldb/examples/python/operating_system.py
+++ b/lldb/examples/python/operating_system.py
@@ -25,8 +25,9 @@ class OperatingSystemPlugIn(object):
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
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