A Mentoring Course on Smalltalk by Andrés Valloud

By Andrés Valloud

A developer regularly seeks larger realizing of software program engineering and layout. occasionally good fortune intervenes and a mentor is helping to increase one's skills. even though, there are just such a lot of of those infrequent encounters, and therefore, no longer everyone seems to be afforded such possibilities. This booklet makes an attempt to take away good fortune as a restricting issue for one's expert progress in Smalltalk by means of disseminating fabric discovered over a number of years of mentoring.

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Notice the otherwise: wildcard that catches all the cases for which the first keyword did not apply. The keyword otherwise: itself is quite colloquial and almost informal. However, it is revealing and precise enough for its purpose. For the sake of completeness, these messages should be extended to three arguments as well. ifAllTrue:ifAnyTrue:otherwise: ifAllFalse:ifAnyFalse:otherwise: The keyword otherwise: avoids ifAllFalse: at the end of the three keyword selector, which would look almost redundant.

Object new interesting What about this other expression? 16 [10] Is aFraction negated always a fraction? 17 [10] Is aFraction reciprocal always a fraction? 18 [10] Is aFloat reciprocal always a float? 19 [10] Is aSmallInteger negated always a small integer? 20 [10] Is aLargeInteger negated always a large integer? 21 [10] Is the sum of small integers always a small integer? 22 [10] Is the sum of large integers always a large integer? 23 [26] Take a look at the following test method. testExample self shouldnt: [SomeClass new performAction] raise: ActionException The intention of shouldnt:raise: is to fail if evaluating the block raises the exception given.

There is a feedback cycle between requirements and solutions because the constraints define the size of the answer space in the same way that a system of linear equations implies a vector space of solutions. If there are too many solutions, it can be a sign of too little expressed intention because the distinguished result set is too large. To address this, you need either more requirements or stricter conditions. In either case, you can typically obtain additional constraints to finetune your solution selection by recognizing a class of unwanted solutions, and then turning its distinguishing characteristics into a requirement of their opposite.

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