Issue #14200: Add benchmark results to text flow.
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@ -167,19 +167,16 @@ The storage of Unicode strings now depends on the highest codepoint in the strin
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* non-BMP strings (``U+10000-U+10FFFF``) use 4 bytes per codepoint.
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* non-BMP strings (``U+10000-U+10FFFF``) use 4 bytes per codepoint.
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The net effect is that for most applications, memory usage of string storage
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The net effect is that for most applications, memory usage of string
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should decrease significantly - especially compared to former wide unicode
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storage should decrease significantly - especially compared to former
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builds - as, in many cases, strings will be pure ASCII even in international
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wide unicode builds - as, in many cases, strings will be pure ASCII
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contexts (because many strings store non-human language data, such as XML
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even in international contexts (because many strings store non-human
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fragments, HTTP headers, JSON-encoded data, etc.). We also hope that it
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language data, such as XML fragments, HTTP headers, JSON-encoded data,
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will, for the same reasons, increase CPU cache efficiency on non-trivial
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etc.). We also hope that it will, for the same reasons, increase CPU
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applications.
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cache efficiency on non-trivial applications. The memory usage of
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Python 3.3 is two to three times smaller than Python 3.2, and a little
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.. The memory usage of Python 3.3 is two to three times smaller than Python 3.2,
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bit better than Python 2.7, on a Django benchmark (see the PEP for
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and a little bit better than Python 2.7, on a `Django benchmark
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details).
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<http://mail.python.org/pipermail/python-dev/2011-September/113714.html>`_.
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XXX The result should be moved in the PEP and a link to the PEP should
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be added here.
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PEP 3151: Reworking the OS and IO exception hierarchy
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PEP 3151: Reworking the OS and IO exception hierarchy
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