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-rw-r--r--Doc/whatsnew/3.1.rst8
1 files changed, 4 insertions, 4 deletions
diff --git a/Doc/whatsnew/3.1.rst b/Doc/whatsnew/3.1.rst
index c1972ec..41973ac 100644
--- a/Doc/whatsnew/3.1.rst
+++ b/Doc/whatsnew/3.1.rst
@@ -155,7 +155,7 @@ Some smaller changes made to the core Python language are:
The significance is easily seen with a number like ``1.1`` which does not
have an exact equivalent in binary floating point. Since there is no exact
- equivalent, an expression like ``float("1.1")`` evaluates to the nearest
+ equivalent, an expression like ``float('1.1')`` evaluates to the nearest
representable value which is ``0x1.199999999999ap+0`` in hex or
``1.100000000000000088817841970012523233890533447265625`` in decimal. That
nearest value was and still is used in subsequent floating point
@@ -163,16 +163,16 @@ Some smaller changes made to the core Python language are:
What is new is how the number gets displayed. Formerly, Python used a
simple approach. The value of ``repr(1.1)`` was computed as ``format(1.1,
- '.17g')`` which evaluates to ``'1.1000000000000001'``. The advantage of
+ '.17g')`` which evaluated to ``'1.1000000000000001'``. The advantage of
using 17 digits was that it relied on IEEE-754 guarantees to assure that
``eval(repr(1.1))`` would round-trip exactly to its original value. The
disadvantage is that many people found the output to be confusing (mistaking
intrinsic limitations of binary floating point representation as being a
problem with Python itself).
- The new algorithm for ``repr(1.1)`` is smarter and returns ``1.1``.
+ The new algorithm for ``repr(1.1)`` is smarter and returns ``'1.1'``.
Effectively, it searches all equivalent string representations (ones that
- get stored as the same underlying float value) and returns the shortest
+ get stored with the same underlying float value) and returns the shortest
representation.
The new algorithm tends to emit cleaner representations when possible, but