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authorNoah Falk <noahfalk@users.noreply.github.com>2019-06-25 16:33:08 -0700
committerGitHub <noreply@github.com>2019-06-25 16:33:08 -0700
commit74ccf988e52f083e24b5ac3bc0db0702588b2572 (patch)
treedab555b45fc71c3762551e75d1b6643ab6c44981
parent3d7247e894cdc8d158ab3874b434de77e6418241 (diff)
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Policheck comment adjustment
-rw-r--r--src/vm/eventpipebuffermanager.cpp2
1 files changed, 1 insertions, 1 deletions
diff --git a/src/vm/eventpipebuffermanager.cpp b/src/vm/eventpipebuffermanager.cpp
index 3ac90fd719..af403ff168 100644
--- a/src/vm/eventpipebuffermanager.cpp
+++ b/src/vm/eventpipebuffermanager.cpp
@@ -576,7 +576,7 @@ void EventPipeBufferManager::WriteAllBuffersToFileV4(EventPipeFile *pFile, LARGE
// in the current scheme. In the worst case you could imagine N threads, each of which was already allocated a
// max size buffer (currently 1MB) but only an insignificant portion has been used. Even if the trigger
// threshhold is a modest amount such as 10MB, the threads could first write 1MB * N bytes to the stream
- // beforehand. I'm betting on these extreme cases being very rare and even something like 1GB isn't a crazy
+ // beforehand. I'm betting on these extreme cases being very rare and even something like 1GB isn't an unreasonable
// amount of virtual memory to use on to parse an extreme trace. However if I am wrong we can control
// both the allocation policy and the triggering instrumentation. Nothing requires us to give out 1MB buffers to
// 1000 threads simulatneously, nor are we prevented from observing buffer usage at finer granularity than we