[Kevin Jacobs]
#- Python decimals would do well to support the creation of
#- instances with
#- fixed scale
#- and precision parameters, since this information will be what is
#- provided by databases,
#- other financial and engineering applications, and schema.
#- i.e., these
#- parameters override
#- the natural scale and precision found in the literal values
#- used when
#- constructing decimals.
#- e.g., hypothetically:
#-
#- Decimal('2.4000', precision=2, scale=1) == Decimal('2.4')
#- Decimal('2.4', precision=5, scale=4) == Decimal('2.4000')
#-
#- Remember, these literals are frequently coming from an
#- external source
#- that must
#- be constrained to a given schema. This issue doesn't come up with
#- floating point
#- numbers nearly as often, because those schema use explicitly
#- precision-qualified
#- types (i.e., single, double, quad precision).
I like it a lot, but not for Decimal.
Money maybe will get something like this.
. Facundo
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