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difference if computing the data item s value is expensive, or if accessing the data item causes side effects Thanks to the strong aspect of Python s dynamic typing, comparisons that don t make sense will cause an exception to be raised For example:

>>> "three" < 4 Traceback (most recent call last): TypeError: unorderable types: str() < int()

When an exception is raised and not handled, Python outputs a traceback along with the exception s error message For clarity, we have omitted the traceback part of the output, replacing it with an ellipsis The same TypeError exception would occur if we wrote "3" < 4 because Python does not try to guess our intentions the right approach is either to explicitly convert, for example, int("3") < 4, or to use comparable types, that is, both integers or both strings Python makes it easy for us to create custom data types that will integrate nicely so that, for example, we could create our own custom numeric type which would be able to participate in comparisons with the built-in int type, and with other built-in or custom numeric types, but not with strings or other non-numeric types

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Short-running transactions encapsulate discrete business functions They typically take seconds to complete The business functions can be exposed at a high-level (for example, Open New Account) to aggregate or update information from multiple sources The business functions can also be exposed at a lower level (Update Customer Address) to update just one data source In either case, all data updates within the transaction must succeed or fail as an atomic unit to maintain integrity of the business function If one component update fails within the transaction, the service must undo the updates that succeeded prior to the failure so that it leaves the data exactly as it was found before the operation began This behavior is commonly known as an ACID transaction Much has been written on this topic, but in short ACID transactions are Atomic All updates within the transaction are successful, or they re all rolled back No partial updates are allowed For instance, in a bank transfer, if the debit succeeds but the credit fails, the debit is rolled back so money isn t created or lost Consistent After the operation, all data is valid according to the business rules For instance, in a bank transfer, the To and From accounts must be valid accounts or the transaction will abort Isolated While the operation is executing, no partial results are visible outside the transactions For instance, as a bank transfer is being executed, other users will not see the balances part way through the transfer Durable After the transaction is committed, the data must be persisted in a way that can survive system failures

The Almanac format presents all classes and interfaces in alphabetic order Each class displays a list of its members in alphabetic order, mixing fields, methods, and constructors together

415

256

For data types that are sequences or collections such as strings, lists, and tuples, we can test for membership using the in operator, and for nonmembership using the not in operator For example:

Transactional Operations Within a Service Transactional service operations succeed or fail as a unit They are initiated by one party, which assumes that the result will be consistent, whether the operation succeeds or fails Figure 59 depicts pseudo code of this behavior The client opens a connection to the service and calls its method executes a debit, a credit, and then marks the transaction complete The client is uninvolved in the transactional semantics

The Almanac format used in this book is modeled after the style introduced by Patrick Chan in his excellent book, JavaTM Developers Almanac

For lists and tuples, the in operator uses a linear search which can be slow for very large collections (tens of thousands of items or more) On the other hand, in is very fast when used on a dictionary or a set; both of these collection data types are covered in 3 Here is how in can be used with a string:

A traceback (sometimes called a backtrace) is a list of all the calls made from the point where the unhandled exception occurred back to the top of the call stack

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