Aggregate pattern: Difference between revisions

Revision as of 11:08, 20 November 2019

Revision as of 13:08, 6 December 2019

Line 34:

myNumbers = [1, 7, 4, 3, 22]

def average(g) -> float:

return float(sum(g)) / len(g) # In Python 3 the cast to float willis no longer be necessary

</source>

Python hides essentially all of the details using the [https://docs.python.org/3/library/stdtypes.html#iterator-types iterator protocol]. Confusingly, ''[[Design Patterns]]'' uses "aggregate" to refer to the blank in the code <code>for x in ___:</code> which is unrelated to the term "aggregation".<ref>[[Design Patterns]], p. 22: "Aggregation implies that one object owns or is responsible for another object. ... Aggregation implies that an aggregate object and its owner have identical lifetimes."</ref> Neither of these terms refer to the statistical aggregation of data such as the act of adding up the Fibonacci sequence or taking the average of a list of numbers.

== See also ==