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) You re now ready to implement binary search: def search(sequence, number, lower, upper): if lower == upper: assert number == sequence[upper] return upper else: middle = (lower + upper) // 2 if number > sequence[middle]: return search(sequence, number, middle+1, upper) else: return search(sequence, number, lower, middle) This does exactly what the definition said it should: If lower == upper, then return upper, which is the upper limit Note that you assume (assert) that the number you are looking for (number) has actually been found (number == sequence[upper]) If you haven t reached your base case yet, you find the middle, check whether your number is to the left or right, and call.

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Note I used to use an empty initialize() method and kept the initialization code in the initialization

Here s an example of the method: PROCEDURE initialize is begin -- Put your initialization code here! end initialize; Then add a call to initialize in the initialization section of your package: ... begin initialize(); end MY_PACKAGE; / Once this code is in place, any time you access the package for the first time, the package will execute the code in method initialize. And anytime you need to test the code from the initialization section of a package, all you need do is execute method initialize. Take a look at source file top_100_names.pkb for a complete example.

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How to deal with expensive operations like loading many child objects in a one-to-many relationship (lazy loading, proxy objects, or caching) Obviously, as the object graphs get more complex, the tools have to be more intelligent I ve seen countless companies that start with a very simple system for which they write their own persistence layer from the ground up We equate this to writing your own application server Sooner or later you ll run into some of technical questions pondered previously by others and discover that you re spending most of your time finetuning your persistence framework ORM tools take away the complexity of mapping classes in memory to databases They provide interfaces that automatically select, insert, update, and delete tables in the database in order to reflect changes made to an object model.

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search recursively with new limits. You could even make this easier to use by making the limit specifications optional. You simply add the following conditional to the beginning of the function definition: def search(sequence, number, lower=0, upper=None): if upper is None: upper = len(sequence)-1 ... Now, if you don t supply the limits, they are set to the first and last positions of the sequence. Let s see if this works: >>> >>> >>> [4, >>> 2 >>> 5 seq = [34, 67, 8, 123, 4, 100, 95] seq.sort() seq 8, 34, 67, 95, 100, 123] search(seq, 34) search(seq, 100)

The test procedure should be coded so it performs all necessary tests on its package or TYPE s methods. We covered this method extensively in 8. Here s a partial example of the method from code table package WORKER_TYPE_TS:

PROCEDURE test is n_worker_type_id v_code v_description begin -- Send feedback that the test ran pl('WORKER_TYPE_TS.test()'); -- Clear the last set of test results TEST_TS.clear('WORKER_TYPE_TS'); -- First, we need some test values -- Let's make sure they don't already exist: DELETE TEST_TS.set_test('WORKER_TYPE_TS', 'DELETE', 0, 'Delete test entries'); begin delete WORKER_TYPE_T where code in ( TEST_TS.v_TEST_30, TEST_TS.v_TEST_30_1, TEST_TS.v_TEST_30_2); TEST_TS.ok(); exception when OTHERS then TEST_TS.error(SQLERRM); end; -- Now let's add three test codes: INSERT TEST_TS.set_test('WORKER_TYPE_TS', 'INSERT', 1, 'Insert 3 test entries'); begin insert into WORKER_TYPE_T ( worker_type_id, code, description, active_date, inactive_date ) values ( get_id(), TEST_TS.v_TEST_30, TEST_TS.v_TEST_80, TEST_TS.d_TEST_19000101, NULL ); ... WORKER_TYPE_T.worker_type_id%TYPE; WORKER_TYPE_T.code%TYPE; WORKER_TYPE_T.description%TYPE;

Therefore my recommendation is that you choose a mapping tool earlier rather than later, before any temporary persistence logic in your application starts to look like a homemade framework Using an ORM layer has proven to increase productivity by moving developer focus away from figuring out how to store objects (a nonfunctional concern) to solving the real business problems Another positive side effect of using an ORM tool is that, like JDBC, it provides an isolating layer between the database and the application by providing an objectified view of the database In a better case, it completely makes persistence transparent, without the complexity of writing and maintaining straight JDBC code ORM tools also have drawbacks, including performance, portability (does the tool implement any of the known standards ), and the initial learning curve.

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