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The is*() methods work on the basis of Unicode character classi cations, so for example, calling strisdigit() on the strings "\N{circled digit two}03" and " 03" returns True for both of them For this reason we cannot assume that a string can be converted to an integer when isdigit() returns True When we receive strings from external sources (other programs, les, network connections, and especially interactive users), the strings may have unwanted leading and trailing whitespace We can strip whitespace from the left using strlstrip(), from the right using strrstrip(), or from both ends using strstrip() We can also give a string as an argument to the strip methods, in which case every occurrence of every character given will be stripped from the appropriate end or ends For example:

>>> s = "\t no parking " >>> slstrip(), srstrip(), sstrip() ('no parking ', '\t no parking', 'no parking') >>> "<[unbracketed]>"strip("[](){}<>") 'unbracketed'

One-to-one relationships are implemented in exactly the same way as oneto-many relationships sort of You still create a primary key and a foreign key; the problem is that at this point SQL Server still allows users to insert many rows into the foreign key table that reference the primary key table

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We can also replace strings within strings using the strreplace() method This method takes two string arguments, and returns a copy of the string it is called on with every occurrence of the rst string replaced with the second If the second argument is an empty string the effect is to delete every occurrence of the rst string We will see examples of strreplace() and some other string methods in the csv2htmlpy example in the Examples section toward the end of the chapter One frequent requirement is to split a string into a list of strings For example, we might have a text le of data with one record per line and each record s elds separated by asterisks This can be done using the strsplit() method and passing in the string to split on as its rst argument, and optionally the maximum number of splits to make as the second argument If we don t specify the second argument, as many splits are made as possible Here is an example:

As an example, we show in Fig C5 a code fragment in which the main thread submits an anonymous Callable to an Executor The Executor arranges for the call method to be executed in another thread Meanwhile, the original thread performs some other work When finished with the other work, it uses the get method to obtain the result of the Callable's execution If necessary, the main thread will block on the get method until the result is available

>>> record = "Leo Tolstoy*1828-8-28*1910-11-20" >>> fields = recordsplit("*") >>> fields ['Leo Tolstoy', '1828-8-28', '1910-11-20']

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Figure C5 Code fragment illustrating use of Callable and Future /*execute a Callable that returns a Double The notation Future<Double> indicates a (generic) Future that has been specialized to be a <Double> */ Future<Double> future = executorsubmit( new Callable<Double>() { public Double call() { return result_of_long_computation; } }); do_something_else( ); /* do other things while long computation proceeds in another thread */ try { Double d = (futureget()); /* get results of long computation, waiting if necessary*/ } catch (ExecutionException ex) { cleanup(); return; }

There is no way, by default, to constrain the data to one-to-one To implement a one-to-one relationship that is enforced, you must get a little creative The first option is to write a stored procedure (more on stored procedures later in this chapter) to do all your inserting, and then add logic to prevent a second row from being added to the table This method works in most cases, but what if you need to load data directly to tables without a stored procedure Another option to implement one-to-one relationships is to use a trigger, which we also look at shortly Basically, a trigger is a piece of code that can be executed after or instead of the actual insert statement Using this method, you could roll back any insert that would violate the one-to-one relationship Additionally and this is probably the easiest method you can add a unique constraint on the foreign key columns This would mean that the data in the foreign key would have to be a value from the primary key, and each value could appear only once in the referencing table This approach effectively creates a one-to-one relationship that is managed and enforced by SQL Server

Now we can use strsplit() again on the date of birth and date of death to calculate how long he lived (give or take a year):

>>> born = fields[1]split("-") >>> born ['1828', '8', '28'] >>> died = fields[2]split("-") >>> print("lived about", int(died[0]) - int(born[0]), "years") lived about 82 years

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