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contrib/fixeddecimal/README.md
@@ -15,7 +15,7 @@ Often there are data storage requirements where the built in REAL and
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DOUBLE PRECISION types cannot be used due to the non-exact representation of
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numbers using these types, e.g. where monetary values need to be stored. In many
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of these cases NUMERIC is an almost perfect type, although with NUMERIC
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-performance is no match for the performance of REAL or DOUBLE PRCISION, as
+performance is no match for the performance of REAL or DOUBLE PRECISION, as
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these use CPU native processor types. FixedDecimal aims to offer performance
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advantages over NUMERIC without the imprecise representations that are
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apparent in REAL and DOUBLE PRECISION, but it comes with some caveats...
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