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authorVictor Stinner <victor.stinner@gmail.com>2017-11-08 22:44:44 (GMT)
committerGitHub <noreply@github.com>2017-11-08 22:44:44 (GMT)
commit8c663fd60ecba9c82aa4c404dbfb1aae69fe8553 (patch)
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parent0e163d2ced28ade8ff526e8c663faf03c2c0b168 (diff)
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Replace KB unit with KiB (#4293)
kB (*kilo* byte) unit means 1000 bytes, whereas KiB ("kibibyte") means 1024 bytes. KB was misused: replace kB or KB with KiB when appropriate. Same change for MB and GB which become MiB and GiB. Change the output of Tools/iobench/iobench.py. Round also the size of the documentation from 5.5 MB to 5 MiB.
Diffstat (limited to 'Misc/README.AIX')
-rw-r--r--Misc/README.AIX10
1 files changed, 5 insertions, 5 deletions
diff --git a/Misc/README.AIX b/Misc/README.AIX
index 82348f2..92ad029 100644
--- a/Misc/README.AIX
+++ b/Misc/README.AIX
@@ -51,24 +51,24 @@ Note: this section may not apply when compiling Python as a 64 bit
application.
By default on AIX each program gets one segment register for its data
-segment. As each segment register covers 256 MB, a Python program that
-would use more than 256MB will raise a MemoryError. The standard
+segment. As each segment register covers 256 MiB, a Python program that
+would use more than 256 MiB will raise a MemoryError. The standard
Python test suite is one such application.
To allocate more segment registers to Python, you must use the linker
option -bmaxdata or the ldedit tool to specify the number of bytes you
need in the data segment.
-For example, if you want to allow 512MB of memory for Python (this is
+For example, if you want to allow 512 MiB of memory for Python (this is
enough for the test suite to run without MemoryErrors), you should run
the following command at the end of compilation:
ldedit -b maxdata:0x20000000 ./python
-You can allow up to 2GB of memory for Python by using the value
+You can allow up to 2 GiB of memory for Python by using the value
0x80000000 for maxdata.
-It is also possible to go beyond 2GB of memory by activating Large
+It is also possible to go beyond 2 GiB of memory by activating Large
Page Use. You should consult the IBM documentation if you need to use
this option. You can also follow the discussion of this problem
in issue 11212 at bugs.python.org.