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Small elaboration and typo fixes.
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1 changed files with 19 additions and 5 deletions
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@ -22,7 +22,7 @@ arithmetic. It offers several advantages over the \class{float()} datatype:
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\item Decimal numbers can be represented exactly. In contrast, numbers like
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\constant{1.1} do not have an exact representation in binary floating point.
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End users typically wound not expect \constant{1.1} to display as
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End users typically would not expect \constant{1.1} to display as
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\constant{1.1000000000000001} as it does with binary floating point.
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\item The exactness carries over into arithmetic. In decimal floating point,
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@ -538,7 +538,19 @@ large number of methods for doing arithmetic directly in a given context.
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rounding method, flags, and traps are applied to the conversion.
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This is useful because constants are often given to a greater precision than
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is needed by the application.
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is needed by the application. Another benefit is that rounding immediately
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eliminates unintended effects from digits beyond the current precision.
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In the following example, using unrounded inputs means that adding zero
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to a sum can change the result:
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\begin{verbatim}
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>>> getcontext().prec = 3
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>>> Decimal("3.4445") + Decimal("1.0023")
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Decimal("4.45")
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>>> Decimal("3.4445") + Decimal(0) + Decimal("1.0023")
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Decimal("4.44")
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\end{verbatim}
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\end{methoddesc}
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\begin{methoddesc}{Etiny}{}
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@ -612,12 +624,14 @@ here.
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\begin{methoddesc}{normalize}{x}
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Normalize reduces an operand to its simplest form.
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Essentially a plus operation with all trailing zeros removed from the
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result.
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Essentially a \method{plus} operation with all trailing zeros removed from
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the result.
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\end{methoddesc}
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\begin{methoddesc}{plus}{x}
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Minus corresponds to the unary prefix plus operator in Python.
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Plus corresponds to the unary prefix plus operator in Python. This
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operation applies the context precision and rounding, so it is
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\emph{not} an identity operation.
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\end{methoddesc}
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\begin{methoddesc}{power}{x, y\optional{, modulo}}
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