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Each of the four value sets includes not only the nite nonzero values that are ascribed to it above, but also NaN values and the four values positive zero, negative zero, positive in nity, and negative in nity Note that the constraints in Table 41 are designed so that every element of the oat value set is necessarily also an element of the oat-extended-exponent value set, the double value set, and the double-extended-exponent value set Likewise, each element of the double value set is necessarily also an element of the doubleextended-exponent value set Each extended-exponent value set has a larger range of exponent values than the corresponding standard value set, but does not have more precision The elements of the oat value set are exactly the values that can be represented using the single oating-point format de ned in the IEEE 754 standard The elements of the double value set are exactly the values that can be represented using the double oating-point format de ned in the IEEE 754 standard Note, however, that the elements of the oat-extended-exponent and double-extendedexponent value sets de ned here do not correspond to the values that can be represented using IEEE 754 single extended and double extended formats, respectively The oat, oat-extended-exponent, double, and double-extended-exponent value sets are not types It is always correct for an implementation of the Java programming language to use an element of the oat value set to represent a value of type float; however, it may be permissible in certain regions of code for an implementation to use an element of the oat-extended-exponent value set instead Similarly, it is always correct for an implementation to use an element of the double value set to represent a value of type double; however, it may be permissible in certain regions of code for an implementation to use an element of the double-extended-exponent value set instead Except for NaN, oating-point values are ordered; arranged from smallest to largest, they are negative in nity, negative nite nonzero values, positive and negative zero, positive nite nonzero values, and positive in nity IEEE 754 allows multiple distinct NaN values for each of its single and double oating-point formats While each hardware architecture returns a particular bit pattern for NaN when a new NaN is generated, a programmer can also create NaNs with different bit patterns to encode, for example, retrospective diagnostic information For the most part, the Java platform treats NaN values of a given type as though collapsed into a single canonical value (and hence this speci cation normally refers to an arbitrary NaN as though to a canonical value) However, version 13 the Java platform introduced methods enabling the programmer to distinguish between NaN values: the FloatfloatToRawIntBits and DoubledoubleToRawLongBits methods The interested reader is referred to the speci cations for the Float and Double classes for more information.

class IncidentCollection(dict): def values(self): for report_id in selfkeys(): yield self[report_id] def items(self): for report_id in selfkeys(): yield (report_id, self[report_id]) def __iter__(self): for report_id in sorted(super()keys()): yield report_id keys = __iter__

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Creating a copy of the connection constraints to modify for each operation (if particular options are desired for the operation) is a good thing, because then you don t have to worry about what other parts of the code might be doing with the options However, we still have the problem with authentication The LDAP protocol de nes authentication as an operation, not an option to an operation Authenticating changes the state of the connection, and the credentials presented remain in effect for all subsequent operations until there is a new authentication 16 discusses a special control that can be used to bypass this restriction in some cases, but for now we will present a general-purpose way to share connections without risk of affecting other threads or other code segments: cloned connections When you call LDAPConnectionclone, you receive an object that shares a physical connection with an LDAP server (if a connection has been established at that point) but has its own state Any changes you make to the options or constraints of the original object or of any clone will affect only that individual object In the following example, for instance, conn1 will continue to follow referrals automatically, and conn2 won t

The Java programming language provides a number of operators that act on oating-point values: The comparison operators, which result in a value of type boolean:

We have not needed to reimplement the initializer since dict__init__() is suf cient The keys are report IDs and the values are Incidents We have reimplemented the values(), items(), and keys() methods so that their iterators

The numerical operators, which result in a value of type float or double:

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