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-rw-r--r--Doc/library/decimal.rst10
1 files changed, 5 insertions, 5 deletions
diff --git a/Doc/library/decimal.rst b/Doc/library/decimal.rst
index d052581..e7d3950 100644
--- a/Doc/library/decimal.rst
+++ b/Doc/library/decimal.rst
@@ -30,7 +30,7 @@
--------------
-The :mod:`decimal` module provides support for fast correctly-rounded
+The :mod:`decimal` module provides support for fast correctly rounded
decimal floating point arithmetic. It offers several advantages over the
:class:`float` datatype:
@@ -1371,16 +1371,16 @@ In addition to the three supplied contexts, new contexts can be created with the
With two arguments, compute ``x**y``. If ``x`` is negative then ``y``
must be integral. The result will be inexact unless ``y`` is integral and
the result is finite and can be expressed exactly in 'precision' digits.
- The rounding mode of the context is used. Results are always correctly-rounded
+ The rounding mode of the context is used. Results are always correctly rounded
in the Python version.
``Decimal(0) ** Decimal(0)`` results in ``InvalidOperation``, and if ``InvalidOperation``
is not trapped, then results in ``Decimal('NaN')``.
.. versionchanged:: 3.3
- The C module computes :meth:`power` in terms of the correctly-rounded
+ The C module computes :meth:`power` in terms of the correctly rounded
:meth:`exp` and :meth:`ln` functions. The result is well-defined but
- only "almost always correctly-rounded".
+ only "almost always correctly rounded".
With three arguments, compute ``(x**y) % modulo``. For the three argument
form, the following restrictions on the arguments hold:
@@ -2151,7 +2151,7 @@ Q. Is the CPython implementation fast for large numbers?
A. Yes. In the CPython and PyPy3 implementations, the C/CFFI versions of
the decimal module integrate the high speed `libmpdec
<https://www.bytereef.org/mpdecimal/doc/libmpdec/index.html>`_ library for
-arbitrary precision correctly-rounded decimal floating point arithmetic [#]_.
+arbitrary precision correctly rounded decimal floating point arithmetic [#]_.
``libmpdec`` uses `Karatsuba multiplication
<https://en.wikipedia.org/wiki/Karatsuba_algorithm>`_
for medium-sized numbers and the `Number Theoretic Transform