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The dir() function is commonly used to inspect objects An object can supply the list of names returned by dir() by implementing _ _dir_ _(self) Defining this makes it easier to hide the internal details of objects that you don t want a user to directly access However, keep in mind that a user can still inspect the underlying _ _dict_ _ attribute of instances and classes to see everything that is defined

his chapter describes Python s built-in operators, expressions, and evaluation rules Although much of this chapter describes Python s built-in types, user-defined objects can easily redefine any of the operators to provide their own behavior

In contrast, because the next query declares the fetches all players that belong to a team:

The following operations can be applied to all numeric types:

Addition Subtraction Multiplication Division Truncating division Power (xy) Modulo (x mod y) Unary minus Unary plus

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The truncating division operator (//, also known as floor division) truncates the result to an integer and works with both integers and floating-point numbers In Python 2, the true division operator (/) also truncates the result to an integer if the operands are integersTherefore, 7/4 is 1, not 175 However, this behavior changes in Python 3, where division produces a floating-point resultThe modulo operator returns the remainder of the division x // y For example, 7 % 4 is 3 For floating-point numbers, the modulo operator returns the floating-point remainder of x // y, which is x (x // y) * y For complex numbers, the modulo (%) and truncating division operators (//) are invalid The following shifting and bitwise logical operators can be applied only to integers:

The following query returns the same results as the preceding query, but the clause makes it easier to read:

The bitwise operators assume that integers are represented in a 2 s complement binary representation and that the sign bit is infinitely extended to the left Some care is required if you are working with raw bit-patterns that are intended to map to native integers on the hardwareThis is because Python does not truncate the bits or allow values to overflow instead, the result will grow arbitrarily large in magnitude In addition, you can apply the following built-in functions to all the numerical types:

abs(x) divmod(x,y) pow(x,y [,modulo]) round(x,[n])

Absolute value Returns (x // y, x % y) Returns (x ** y) % modulo Rounds to the nearest multiple of 10-n (floating-point numbers only)

An identification variable always designates a reference to a single value, whose type is that of the expression used in the declaration There are two kinds of declarations: range variable and collection member Range Variable Declarations To declare an identification variable as an abstract schema type, you specify a range variable declaration In other words, an identification variable can range over the abstract schema type of an entity bean In the following example, an : identification variable named represents the abstract schema named

The three diagram types we've used so far, object diagrams, use case diagrams, and sequences, are the most useful UML diagrams, and the ones you will see most often There are others, which are described in the sidebar "More UML" on page 113 Note that this example is based on a specific scenario, and can be used to help with the final design - which operations will be needed, such as findReader, borrow, and so on In other cases, sequence diagrams are helpful to understand behavior of existing designs We will use them to help clarify some of the Java Swing examples in 5

The abs() function returns the absolute value of a numberThe divmod() function returns the quotient and remainder of a division operation and is only valid on noncomplex numbersThe pow() function can be used in place of the ** operator but also supports the ternary power-modulo function (often used in cryptographic algorithms) The round() function rounds a floating-point number, x, to the nearest multiple of 10 to the power minus n If n is omitted, it s set to 0 If x is equally close to two multiples, Python 2 rounds to the nearest multiple away from zero (for example, 05 is rounded to 10 and -05 is rounded to -10) One caution here is that Python 3 rounds equally close values to the nearest even multiple (for example, 05 is rounded to 00, and 15 is rounded to 20)This is a subtle portability issue for mathematical programs being ported to Python 3 The following comparison operators have the standard mathematical interpretation and return a Boolean value of True for true, False for false:

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