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877 lines
32 KiB
TeX
877 lines
32 KiB
TeX
\chapter{Data model}
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\section{Objects, values and types}
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{\em Objects} are Python's abstraction for data. All data in a Python
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program is represented by objects or by relations between objects.
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(In a sense, and in conformance to Von Neumann's model of a
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``stored program computer'', code is also represented by objects.)
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\index{object}
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\index{data}
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Every object has an identity, a type and a value. An object's {\em
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identity} never changes once it has been created; you may think of it
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as the object's address in memory. An object's {\em type} is also
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unchangeable. It determines the operations that an object supports
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(e.g. ``does it have a length?'') and also defines the possible
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values for objects of that type. The {\em value} of some objects can
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change. Objects whose value can change are said to be {\em mutable};
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objects whose value is unchangeable once they are created are called
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{\em immutable}. The type determines an object's (im)mutability.
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\index{identity of an object}
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\index{value of an object}
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\index{type of an object}
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\index{mutable object}
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\index{immutable object}
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Objects are never explicitly destroyed; however, when they become
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unreachable they may be garbage-collected. An implementation is
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allowed to delay garbage collection or omit it altogether --- it is a
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matter of implementation quality how garbage collection is
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implemented, as long as no objects are collected that are still
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reachable. (Implementation note: the current implementation uses a
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reference-counting scheme which collects most objects as soon as they
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become unreachable, but never collects garbage containing circular
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references.)
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\index{garbage collection}
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\index{reference counting}
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\index{unreachable object}
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Note that the use of the implementation's tracing or debugging
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facilities may keep objects alive that would normally be collectable.
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Some objects contain references to ``external'' resources such as open
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files or windows. It is understood that these resources are freed
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when the object is garbage-collected, but since garbage collection is
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not guaranteed to happen, such objects also provide an explicit way to
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release the external resource, usually a \verb@close@ method.
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Programs are strongly recommended to always explicitly close such
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objects.
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Some objects contain references to other objects; these are called
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{\em containers}. Examples of containers are tuples, lists and
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dictionaries. The references are part of a container's value. In
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most cases, when we talk about the value of a container, we imply the
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values, not the identities of the contained objects; however, when we
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talk about the (im)mutability of a container, only the identities of
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the immediately contained objects are implied. (So, if an immutable
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container contains a reference to a mutable object, its value changes
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if that mutable object is changed.)
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\index{container}
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Types affect almost all aspects of objects' lives. Even the meaning
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of object identity is affected in some sense: for immutable types,
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operations that compute new values may actually return a reference to
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any existing object with the same type and value, while for mutable
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objects this is not allowed. E.g. after
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\begin{verbatim}
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a = 1; b = 1; c = []; d = []
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\end{verbatim}
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\verb@a@ and \verb@b@ may or may not refer to the same object with the
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value one, depending on the implementation, but \verb@c@ and \verb@d@
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are guaranteed to refer to two different, unique, newly created empty
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lists.
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\section{The standard type hierarchy} \label{types}
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Below is a list of the types that are built into Python. Extension
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modules written in C can define additional types. Future versions of
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Python may add types to the type hierarchy (e.g. rational or complex
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numbers, efficiently stored arrays of integers, etc.).
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\index{type}
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\indexii{data}{type}
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\indexii{type}{hierarchy}
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\indexii{extension}{module}
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\index{C}
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Some of the type descriptions below contain a paragraph listing
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`special attributes'. These are attributes that provide access to the
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implementation and are not intended for general use. Their definition
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may change in the future. There are also some `generic' special
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attributes, not listed with the individual objects: \verb@__methods__@
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is a list of the method names of a built-in object, if it has any;
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\verb@__members__@ is a list of the data attribute names of a built-in
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object, if it has any.
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\index{attribute}
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\indexii{special}{attribute}
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\indexiii{generic}{special}{attribute}
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\ttindex{__methods__}
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\ttindex{__members__}
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\begin{description}
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\item[None]
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This type has a single value. There is a single object with this value.
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This object is accessed through the built-in name \verb@None@.
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It is returned from functions that don't explicitly return an object.
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\ttindex{None}
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\obindex{None@{\tt None}}
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\item[Numbers]
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These are created by numeric literals and returned as results by
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arithmetic operators and arithmetic built-in functions. Numeric
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objects are immutable; once created their value never changes. Python
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numbers are of course strongly related to mathematical numbers, but
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subject to the limitations of numerical representation in computers.
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\obindex{number}
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\obindex{numeric}
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Python distinguishes between integers and floating point numbers:
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\begin{description}
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\item[Integers]
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These represent elements from the mathematical set of whole numbers.
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\obindex{integer}
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There are two types of integers:
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\begin{description}
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\item[Plain integers]
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These represent numbers in the range -2147483648 through 2147483647.
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(The range may be larger on machines with a larger natural word
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size, but not smaller.)
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When the result of an operation falls outside this range, the
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exception \verb@OverflowError@ is raised.
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For the purpose of shift and mask operations, integers are assumed to
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have a binary, 2's complement notation using 32 or more bits, and
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hiding no bits from the user (i.e., all 4294967296 different bit
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patterns correspond to different values).
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\obindex{plain integer}
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\item[Long integers]
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These represent numbers in an unlimited range, subject to available
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(virtual) memory only. For the purpose of shift and mask operations,
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a binary representation is assumed, and negative numbers are
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represented in a variant of 2's complement which gives the illusion of
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an infinite string of sign bits extending to the left.
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\obindex{long integer}
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\end{description} % Integers
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The rules for integer representation are intended to give the most
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meaningful interpretation of shift and mask operations involving
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negative integers and the least surprises when switching between the
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plain and long integer domains. For any operation except left shift,
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if it yields a result in the plain integer domain without causing
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overflow, it will yield the same result in the long integer domain or
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when using mixed operands.
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\indexii{integer}{representation}
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\item[Floating point numbers]
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These represent machine-level double precision floating point numbers.
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You are at the mercy of the underlying machine architecture and
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C implementation for the accepted range and handling of overflow.
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\obindex{floating point}
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\indexii{floating point}{number}
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\index{C}
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\end{description} % Numbers
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\item[Sequences]
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These represent finite ordered sets indexed by natural numbers.
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The built-in function \verb@len()@ returns the number of elements
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of a sequence. When this number is \var{n}, the index set contains
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the numbers 0, 1, \ldots, \var{n}-1. Element \var{i} of sequence
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\var{a} is selected by \code{\var{a}[\var{i}]}.
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\obindex{seqence}
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\bifuncindex{len}
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\index{index operation}
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\index{item selection}
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\index{subscription}
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Sequences also support slicing: \verb@a[i:j]@ selects all elements
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with index \var{k} such that \var{i} \code{<=} \var{k} \code{<}
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\var{j}. When used as an expression, a slice is a sequence of the
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same type --- this implies that the index set is renumbered so that it
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starts at 0 again.
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\index{slicing}
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Sequences are distinguished according to their mutability:
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\begin{description}
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%
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\item[Immutable sequences]
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An object of an immutable sequence type cannot change once it is
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created. (If the object contains references to other objects,
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these other objects may be mutable and may be changed; however
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the collection of objects directly referenced by an immutable object
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cannot change.)
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\obindex{immutable sequence}
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\obindex{immutable}
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The following types are immutable sequences:
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\begin{description}
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\item[Strings]
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The elements of a string are characters. There is no separate
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character type; a character is represented by a string of one element.
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Characters represent (at least) 8-bit bytes. The built-in
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functions \verb@chr()@ and \verb@ord()@ convert between characters
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and nonnegative integers representing the byte values.
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Bytes with the values 0-127 represent the corresponding \ASCII{} values.
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The string data type is also used to represent arrays of bytes, e.g.
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to hold data read from a file.
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\obindex{string}
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\index{character}
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\index{byte}
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\index{ASCII}
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\bifuncindex{chr}
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\bifuncindex{ord}
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(On systems whose native character set is not \ASCII{}, strings may use
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EBCDIC in their internal representation, provided the functions
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\verb@chr()@ and \verb@ord()@ implement a mapping between \ASCII{} and
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EBCDIC, and string comparison preserves the \ASCII{} order.
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Or perhaps someone can propose a better rule?)
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\index{ASCII}
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\index{EBCDIC}
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\index{character set}
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\indexii{string}{comparison}
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\bifuncindex{chr}
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\bifuncindex{ord}
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\item[Tuples]
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The elements of a tuple are arbitrary Python objects.
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Tuples of two or more elements are formed by comma-separated lists
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of expressions. A tuple of one element (a `singleton') can be formed
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by affixing a comma to an expression (an expression by itself does
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not create a tuple, since parentheses must be usable for grouping of
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expressions). An empty tuple can be formed by enclosing `nothing' in
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parentheses.
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\obindex{tuple}
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\indexii{singleton}{tuple}
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\indexii{empty}{tuple}
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\end{description} % Immutable sequences
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\item[Mutable sequences]
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Mutable sequences can be changed after they are created. The
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subscription and slicing notations can be used as the target of
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assignment and \verb@del@ (delete) statements.
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\obindex{mutable sequece}
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\obindex{mutable}
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\indexii{assignment}{statement}
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\index{delete}
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\stindex{del}
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\index{subscription}
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\index{slicing}
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There is currently a single mutable sequence type:
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\begin{description}
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\item[Lists]
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The elements of a list are arbitrary Python objects. Lists are formed
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by placing a comma-separated list of expressions in square brackets.
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(Note that there are no special cases needed to form lists of length 0
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or 1.)
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\obindex{list}
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\end{description} % Mutable sequences
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\end{description} % Sequences
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\item[Mapping types]
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These represent finite sets of objects indexed by arbitrary index sets.
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The subscript notation \verb@a[k]@ selects the element indexed
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by \verb@k@ from the mapping \verb@a@; this can be used in
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expressions and as the target of assignments or \verb@del@ statements.
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The built-in function \verb@len()@ returns the number of elements
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in a mapping.
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\bifuncindex{len}
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\index{subscription}
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\obindex{mapping}
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There is currently a single mapping type:
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\begin{description}
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\item[Dictionaries]
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These represent finite sets of objects indexed by almost arbitrary
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values. The only types of values not acceptable as keys are values
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containing lists or dictionaries or other mutable types that are
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compared by value rather than by object identity --- the reason being
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that the implementation requires that a key's hash value be constant.
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Numeric types used for keys obey the normal rules for numeric
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comparison: if two numbers compare equal (e.g. 1 and 1.0) then they
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can be used interchangeably to index the same dictionary entry.
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Dictionaries are mutable; they are created by the \verb@{...}@
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notation (see section \ref{dict}).
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\obindex{dictionary}
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\obindex{mutable}
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\end{description} % Mapping types
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\item[Callable types]
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These are the types to which the function call (invocation) operation,
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written as \verb@function(argument, argument, ...)@, can be applied:
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\indexii{function}{call}
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\index{invocation}
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\indexii{function}{argument}
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\obindex{callable}
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\begin{description}
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\item[User-defined functions]
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A user-defined function object is created by a function definition
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(see section \ref{function}). It should be called with an argument
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list containing the same number of items as the function's formal
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parameter list.
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\indexii{user-defined}{function}
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\obindex{function}
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\obindex{user-defined function}
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Special read-only attributes: \verb@func_code@ is the code object
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representing the compiled function body, and \verb@func_globals@ is (a
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reference to) the dictionary that holds the function's global
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variables --- it implements the global name space of the module in
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which the function was defined.
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\ttindex{func_code}
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\ttindex{func_globals}
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\indexii{global}{name space}
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\item[User-defined methods]
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A user-defined method (a.k.a. {\em object closure}) is a pair of a
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class instance object and a user-defined function. It should be
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called with an argument list containing one item less than the number
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of items in the function's formal parameter list. When called, the
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class instance becomes the first argument, and the call arguments are
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shifted one to the right.
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\obindex{method}
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\obindex{user-defined method}
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\indexii{user-defined}{method}
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\index{object closure}
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Special read-only attributes: \verb@im_self@ is the class instance
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object, \verb@im_func@ is the function object.
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\ttindex{im_func}
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\ttindex{im_self}
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\item[Built-in functions]
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A built-in function object is a wrapper around a C function. Examples
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of built-in functions are \verb@len@ and \verb@math.sin@. There
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are no special attributes. The number and type of the arguments are
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determined by the C function.
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\obindex{built-in function}
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\obindex{function}
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\index{C}
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\item[Built-in methods]
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This is really a different disguise of a built-in function, this time
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containing an object passed to the C function as an implicit extra
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argument. An example of a built-in method is \verb@list.append@ if
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\verb@list@ is a list object.
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\obindex{built-in method}
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\obindex{method}
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\indexii{built-in}{method}
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\item[Classes]
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Class objects are described below. When a class object is called as a
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function, a new class instance (also described below) is created and
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returned. This implies a call to the class's \verb@__init__@ method
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if it has one. Any arguments are passed on to the \verb@__init__@
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method --- if there is no \verb@__init__@ method, the class must be called
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without arguments.
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\ttindex{__init__}
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\obindex{class}
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\obindex{class instance}
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\obindex{instance}
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\indexii{class object}{call}
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\end{description}
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\item[Modules]
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Modules are imported by the \verb@import@ statement (see section
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\ref{import}). A module object is a container for a module's name
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space, which is a dictionary (the same dictionary as referenced by the
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\verb@func_globals@ attribute of functions defined in the module).
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Module attribute references are translated to lookups in this
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dictionary. A module object does not contain the code object used to
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initialize the module (since it isn't needed once the initialization
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is done).
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\stindex{import}
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\obindex{module}
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Attribute assignment update the module's name space dictionary.
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Special read-only attributes: \verb@__dict__@ yields the module's name
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space as a dictionary object; \verb@__name__@ yields the module's name
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as a string object.
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\ttindex{__dict__}
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\ttindex{__name__}
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\indexii{module}{name space}
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\item[Classes]
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Class objects are created by class definitions (see section
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\ref{class}). A class is a container for a dictionary containing the
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class's name space. Class attribute references are translated to
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lookups in this dictionary. When an attribute name is not found
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there, the attribute search continues in the base classes. The search
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is depth-first, left-to-right in the order of their occurrence in the
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base class list.
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\obindex{class}
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\obindex{class instance}
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\obindex{instance}
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\indexii{class object}{call}
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\index{container}
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\obindex{dictionary}
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\indexii{class}{attribute}
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Class attribute assignments update the class's dictionary, never the
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dictionary of a base class.
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\indexiii{class}{attribute}{assignment}
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A class can be called as a function to yield a class instance (see
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above).
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\indexii{class object}{call}
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Special read-only attributes: \verb@__dict__@ yields the dictionary
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containing the class's name space; \verb@__bases__@ yields a tuple
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(possibly empty or a singleton) containing the base classes, in the
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order of their occurrence in the base class list.
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\ttindex{__dict__}
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\ttindex{__bases__}
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\item[Class instances]
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A class instance is created by calling a class object as a
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function. A class instance has a dictionary in which
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attribute references are searched. When an attribute is not found
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there, and the instance's class has an attribute by that name, and
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that class attribute is a user-defined function (and in no other
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cases), the instance attribute reference yields a user-defined method
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object (see above) constructed from the instance and the function.
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\obindex{class instance}
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\obindex{instance}
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\indexii{class}{instance}
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\indexii{class instance}{attribute}
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Attribute assignments update the instance's dictionary.
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\indexiii{class instance}{attribute}{assignment}
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Class instances can pretend to be numbers, sequences, or mappings if
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they have methods with certain special names. These are described in
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section \ref{specialnames}.
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\obindex{number}
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\obindex{sequence}
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\obindex{mapping}
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Special read-only attributes: \verb@__dict__@ yields the attribute
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dictionary; \verb@__class__@ yields the instance's class.
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\ttindex{__dict__}
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\ttindex{__class__}
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\item[Files]
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A file object represents an open file. (It is a wrapper around a C
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{\tt stdio} file pointer.) File objects are created by the
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\verb@open()@ built-in function, and also by \verb@posix.popen()@ and
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the \verb@makefile@ method of socket objects. \verb@sys.stdin@,
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\verb@sys.stdout@ and \verb@sys.stderr@ are file objects corresponding
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to the interpreter's standard input, output and error streams.
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See the Python Library Reference for methods of file objects and other
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details.
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\obindex{file}
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\index{C}
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\index{stdio}
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\bifuncindex{open}
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\bifuncindex{popen}
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\bifuncindex{makefile}
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\ttindex{stdin}
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\ttindex{stdout}
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\ttindex{stderr}
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\ttindex{sys.stdin}
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\ttindex{sys.stdout}
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\ttindex{sys.stderr}
|
|
|
|
\item[Internal types]
|
|
A few types used internally by the interpreter are exposed to the user.
|
|
Their definition may change with future versions of the interpreter,
|
|
but they are mentioned here for completeness.
|
|
\index{internal type}
|
|
|
|
\begin{description}
|
|
|
|
\item[Code objects]
|
|
Code objects represent ``pseudo-compiled'' executable Python code.
|
|
The difference between a code
|
|
object and a function object is that the function object contains an
|
|
explicit reference to the function's context (the module in which it
|
|
was defined) while a code object contains no context.
|
|
\obindex{code}
|
|
|
|
Special read-only attributes: \verb@co_code@ is a string representing
|
|
the sequence of instructions; \verb@co_consts@ is a list of literals
|
|
used by the code; \verb@co_names@ is a list of names (strings) used by
|
|
the code; \verb@co_filename@ is the filename from which the code was
|
|
compiled. (To find out the line numbers, you would have to decode the
|
|
instructions; the standard library module \verb@dis@ contains an
|
|
example of how to do this.)
|
|
\ttindex{co_code}
|
|
\ttindex{co_consts}
|
|
\ttindex{co_names}
|
|
\ttindex{co_filename}
|
|
|
|
\item[Frame objects]
|
|
Frame objects represent execution frames. They may occur in traceback
|
|
objects (see below).
|
|
\obindex{frame}
|
|
|
|
Special read-only attributes: \verb@f_back@ is to the previous
|
|
stack frame (towards the caller), or \verb@None@ if this is the bottom
|
|
stack frame; \verb@f_code@ is the code object being executed in this
|
|
frame; \verb@f_globals@ is the dictionary used to look up global
|
|
variables; \verb@f_locals@ is used for local variables;
|
|
\verb@f_lineno@ gives the line number and \verb@f_lasti@ gives the
|
|
precise instruction (this is an index into the instruction string of
|
|
the code object).
|
|
\ttindex{f_back}
|
|
\ttindex{f_code}
|
|
\ttindex{f_globals}
|
|
\ttindex{f_locals}
|
|
\ttindex{f_lineno}
|
|
\ttindex{f_lasti}
|
|
|
|
\item[Traceback objects] \label{traceback}
|
|
Traceback objects represent a stack trace of an exception. A
|
|
traceback object is created when an exception occurs. When the search
|
|
for an exception handler unwinds the execution stack, at each unwound
|
|
level a traceback object is inserted in front of the current
|
|
traceback. When an exception handler is entered
|
|
(see also section \ref{try}), the stack trace is
|
|
made available to the program as \verb@sys.exc_traceback@. When the
|
|
program contains no suitable handler, the stack trace is written
|
|
(nicely formatted) to the standard error stream; if the interpreter is
|
|
interactive, it is also made available to the user as
|
|
\verb@sys.last_traceback@.
|
|
\obindex{traceback}
|
|
\indexii{stack}{trace}
|
|
\indexii{exception}{handler}
|
|
\indexii{execution}{stack}
|
|
\ttindex{exc_traceback}
|
|
\ttindex{last_traceback}
|
|
\ttindex{sys.exc_traceback}
|
|
\ttindex{sys.last_traceback}
|
|
|
|
Special read-only attributes: \verb@tb_next@ is the next level in the
|
|
stack trace (towards the frame where the exception occurred), or
|
|
\verb@None@ if there is no next level; \verb@tb_frame@ points to the
|
|
execution frame of the current level; \verb@tb_lineno@ gives the line
|
|
number where the exception occurred; \verb@tb_lasti@ indicates the
|
|
precise instruction. The line number and last instruction in the
|
|
traceback may differ from the line number of its frame object if the
|
|
exception occurred in a \verb@try@ statement with no matching
|
|
\verb@except@ clause or with a \verb@finally@ clause.
|
|
\ttindex{tb_next}
|
|
\ttindex{tb_frame}
|
|
\ttindex{tb_lineno}
|
|
\ttindex{tb_lasti}
|
|
\stindex{try}
|
|
|
|
\end{description} % Internal types
|
|
|
|
\end{description} % Types
|
|
|
|
|
|
\section{Special method names} \label{specialnames}
|
|
|
|
A class can implement certain operations that are invoked by special
|
|
syntax (such as subscription or arithmetic operations) by defining
|
|
methods with special names. For instance, if a class defines a
|
|
method named \verb@__getitem__@, and \verb@x@ is an instance of this
|
|
class, then \verb@x[i]@ is equivalent to \verb@x.__getitem__(i)@.
|
|
(The reverse is not true --- if \verb@x@ is a list object,
|
|
\verb@x.__getitem__(i)@ is not equivalent to \verb@x[i]@.)
|
|
\ttindex{__getitem__}
|
|
|
|
Except for \verb@__repr__@, \verb@__str__@ and \verb@__cmp__@,
|
|
attempts to execute an
|
|
operation raise an exception when no appropriate method is defined.
|
|
For \verb@__repr__@, the default is to return a string describing the
|
|
object's class and address.
|
|
For \verb@__cmp__@, the default is to compare instances based on their
|
|
address.
|
|
For \verb@__str__@, the default is to use \verb@__repr__@.
|
|
\ttindex{__repr__}
|
|
\ttindex{__str__}
|
|
\ttindex{__cmp__}
|
|
|
|
|
|
\subsection{Special methods for any type}
|
|
|
|
\begin{description}
|
|
|
|
\item[{\tt __init__(self, args...)}]
|
|
Called when the instance is created. The arguments are those passed
|
|
to the class constructor expression. If a base class has an
|
|
\code{__init__} method the derived class's \code{__init__} method must
|
|
explicitly call it to ensure proper initialization of the base class
|
|
part of the instance.
|
|
\ttindex{__init__}
|
|
\indexii{class}{constructor}
|
|
|
|
|
|
\item[{\tt __del__(self)}]
|
|
Called when the instance is about to be destroyed. If a base class
|
|
has an \code{__del__} method the derived class's \code{__del__} method
|
|
must explicitly call it to ensure proper deletion of the base class
|
|
part of the instance. Note that it is possible for the \code{__del__}
|
|
method to postpone destruction of the instance by creating a new
|
|
reference to it. It may then be called at a later time when this new
|
|
reference is deleted. It is not guaranteed that
|
|
\code{__del__} methods are called for objects that still exist when
|
|
the interpreter exits.
|
|
\ttindex{__del__}
|
|
\stindex{del}
|
|
|
|
Note that \code{del x} doesn't directly call \code{x.__del__} --- the
|
|
former decrements the reference count for \code{x} by one, but
|
|
\code{x.__del__} is only called when its reference count reaches zero.
|
|
|
|
\item[{\tt __repr__(self)}]
|
|
Called by the \verb@repr()@ built-in function and by string conversions
|
|
(reverse or backward quotes) to compute the string representation of an object.
|
|
\ttindex{__repr__}
|
|
\bifuncindex{repr}
|
|
\indexii{string}{conversion}
|
|
\indexii{reverse}{quotes}
|
|
\indexii{backward}{quotes}
|
|
\index{back-quotes}
|
|
|
|
\item[{\tt __str__(self)}]
|
|
Called by the \verb@str()@ built-in function and by the \verb@print@
|
|
statement compute the string representation of an object.
|
|
\ttindex{__str__}
|
|
\bifuncindex{str}
|
|
\stindex{print}
|
|
|
|
\item[{\tt __cmp__(self, other)}]
|
|
Called by all comparison operations. Should return -1 if
|
|
\verb@self < other@, 0 if \verb@self == other@, +1 if
|
|
\verb@self > other@. If no \code{__cmp__} operation is defined, class
|
|
instances are compared by object identity (``address'').
|
|
(Implementation note: due to limitations in the interpreter,
|
|
exceptions raised by comparisons are ignored, and the objects will be
|
|
considered equal in this case.)
|
|
\ttindex{__cmp__}
|
|
\bifuncindex{cmp}
|
|
\index{comparisons}
|
|
|
|
\item[{\tt __hash__(self)}]
|
|
Called for the key object for dictionary operations,
|
|
and by the built-in function
|
|
\code{hash()}. Should return a 32-bit integer usable as a hash value
|
|
for dictionary operations. The only required property is that objects
|
|
which compare equal have the same hash value; it is advised to somehow
|
|
mix together (e.g. using exclusive or) the hash values for the
|
|
components of the object that also play a part in comparison of
|
|
objects. If a class does not define a \code{__cmp__} method it should
|
|
not define a \code{__hash__} operation either; if it defines
|
|
\code{__cmp__} but not \code{__hash__} its instances will not be
|
|
usable as dictionary keys. If a class defines mutable objects and
|
|
implements a \code{__cmp__} method it should not implement
|
|
\code{__hash__}, since the dictionary implementation assumes that a
|
|
key's hash value is a constant.
|
|
\obindex{dictionary}
|
|
\ttindex{__cmp__}
|
|
\ttindex{__hash__}
|
|
\bifuncindex{hash}
|
|
|
|
\item[{\tt __call__(self, *args)}]
|
|
Called when the instance is ``called'' as a function.
|
|
\ttindex{__call__}
|
|
\indexii{call}{instance}
|
|
|
|
\end{description}
|
|
|
|
|
|
\subsection{Special methods for attribute access}
|
|
|
|
The following methods can be used to change the meaning of attribute
|
|
access for class instances.
|
|
|
|
\begin{description}
|
|
|
|
\item[{\tt __getattr__(self, name)}]
|
|
Called when an attribute lookup has not found the attribute in the
|
|
usual places (i.e. it is not an instance attribute nor is it found in
|
|
the class tree for \code{self}). \code{name} is the attribute name.
|
|
\ttindex{__getattr__}
|
|
|
|
Note that if the attribute is found through the normal mechanism,
|
|
\code{__getattr__} is not called. (This is an asymmetry between
|
|
\code{__getattr__} and \code{__setattr__}.)
|
|
This is done both for efficiency reasons and because otherwise
|
|
\code{__getattr__} would have no way to access other attributes of the
|
|
instance.
|
|
Note that at least for instance variables, \code{__getattr__} can fake
|
|
total control by simply not inserting any values in the instance
|
|
attribute dictionary.
|
|
\ttindex{__setattr__}
|
|
|
|
\item[{\tt __setattr__(self, name, value)}]
|
|
Called when an attribute assignment is attempted. This is called
|
|
instead of the normal mechanism (i.e. store the value as an instance
|
|
attribute). \code{name} is the attribute name, \code{value} is the
|
|
value to be assigned to it.
|
|
\ttindex{__setattr__}
|
|
|
|
If \code{__setattr__} wants to assign to an instance attribute, it
|
|
should not simply execute \code{self.\var{name} = value} --- this would
|
|
cause a recursive call. Instead, it should insert the value in the
|
|
dictionary of instance attributes, e.g. \code{self.__dict__[name] =
|
|
value}.
|
|
\ttindex{__dict__}
|
|
|
|
\item[{\tt __delattr__(self, name)}]
|
|
Like \code{__setattr__} but for attribute deletion instead of
|
|
assignment.
|
|
\ttindex{__delattr__}
|
|
|
|
\end{description}
|
|
|
|
|
|
\subsection{Special methods for sequence and mapping types}
|
|
|
|
\begin{description}
|
|
|
|
\item[{\tt __len__(self)}]
|
|
Called to implement the built-in function \verb@len()@. Should return
|
|
the length of the object, an integer \verb@>=@ 0. Also, an object
|
|
whose \verb@__len__()@ method returns 0 is considered to be false in a
|
|
Boolean context.
|
|
\ttindex{__len__}
|
|
|
|
\item[{\tt __getitem__(self, key)}]
|
|
Called to implement evaluation of \verb@self[key]@. Note that the
|
|
special interpretation of negative keys (if the class wishes to
|
|
emulate a sequence type) is up to the \verb@__getitem__@ method.
|
|
\ttindex{__getitem__}
|
|
|
|
\item[{\tt __setitem__(self, key, value)}]
|
|
Called to implement assignment to \verb@self[key]@. Same note as for
|
|
\verb@__getitem__@.
|
|
\ttindex{__setitem__}
|
|
|
|
\item[{\tt __delitem__(self, key)}]
|
|
Called to implement deletion of \verb@self[key]@. Same note as for
|
|
\verb@__getitem__@.
|
|
\ttindex{__delitem__}
|
|
|
|
\end{description}
|
|
|
|
|
|
\subsection{Special methods for sequence types}
|
|
|
|
\begin{description}
|
|
|
|
\item[{\tt __getslice__(self, i, j)}]
|
|
Called to implement evaluation of \verb@self[i:j]@. Note that missing
|
|
\verb@i@ or \verb@j@ are replaced by 0 or \verb@len(self)@,
|
|
respectively, and \verb@len(self)@ has been added (once) to originally
|
|
negative \verb@i@ or \verb@j@ by the time this function is called
|
|
(unlike for \verb@__getitem__@).
|
|
\ttindex{__getslice__}
|
|
|
|
\item[{\tt __setslice__(self, i, j, sequence)}]
|
|
Called to implement assignment to \verb@self[i:j]@. Same notes as for
|
|
\verb@__getslice__@.
|
|
\ttindex{__setslice__}
|
|
|
|
\item[{\tt __delslice__(self, i, j)}]
|
|
Called to implement deletion of \verb@self[i:j]@. Same notes as for
|
|
\verb@__getslice__@.
|
|
\ttindex{__delslice__}
|
|
|
|
\end{description}
|
|
|
|
|
|
\subsection{Special methods for numeric types}
|
|
|
|
\begin{description}
|
|
|
|
\item[{\tt __add__(self, other)}]\itemjoin
|
|
\item[{\tt __sub__(self, other)}]\itemjoin
|
|
\item[{\tt __mul__(self, other)}]\itemjoin
|
|
\item[{\tt __div__(self, other)}]\itemjoin
|
|
\item[{\tt __mod__(self, other)}]\itemjoin
|
|
\item[{\tt __divmod__(self, other)}]\itemjoin
|
|
\item[{\tt __pow__(self, other)}]\itemjoin
|
|
\item[{\tt __lshift__(self, other)}]\itemjoin
|
|
\item[{\tt __rshift__(self, other)}]\itemjoin
|
|
\item[{\tt __and__(self, other)}]\itemjoin
|
|
\item[{\tt __xor__(self, other)}]\itemjoin
|
|
\item[{\tt __or__(self, other)}]\itembreak
|
|
Called to implement the binary arithmetic operations (\verb@+@,
|
|
\verb@-@, \verb@*@, \verb@/@, \verb@%@, \verb@divmod()@, \verb@pow()@,
|
|
\verb@<<@, \verb@>>@, \verb@&@, \verb@^@, \verb@|@).
|
|
\ttindex{__or__}
|
|
\ttindex{__xor__}
|
|
\ttindex{__and__}
|
|
\ttindex{__rshift__}
|
|
\ttindex{__lshift__}
|
|
\ttindex{__pow__}
|
|
\ttindex{__divmod__}
|
|
\ttindex{__mod__}
|
|
\ttindex{__div__}
|
|
\ttindex{__mul__}
|
|
\ttindex{__sub__}
|
|
\ttindex{__add__}
|
|
|
|
\item[{\tt __neg__(self)}]\itemjoin
|
|
\item[{\tt __pos__(self)}]\itemjoin
|
|
\item[{\tt __abs__(self)}]\itemjoin
|
|
\item[{\tt __invert__(self)}]\itembreak
|
|
Called to implement the unary arithmetic operations (\verb@-@, \verb@+@,
|
|
\verb@abs()@ and \verb@~@).
|
|
\ttindex{__invert__}
|
|
\ttindex{__abs__}
|
|
\ttindex{__pos__}
|
|
\ttindex{__neg__}
|
|
|
|
\item[{\tt __nonzero__(self)}]
|
|
Called to implement boolean testing; should return 0 or 1. An
|
|
alternative name for this method is \verb@__len__@.
|
|
\ttindex{__nonzero__}
|
|
|
|
\item[{\tt __coerce__(self, other)}]
|
|
Called to implement ``mixed-mode'' numeric arithmetic. Should either
|
|
return a tuple containing self and other converted to a common numeric
|
|
type, or None if no way of conversion is known. When the common type
|
|
would be the type of other, it is sufficient to return None, since the
|
|
interpreter will also ask the other object to attempt a coercion (but
|
|
sometimes, if the implementation of the other type cannot be changed,
|
|
it is useful to do the conversion to the other type here).
|
|
\ttindex{__coerce__}
|
|
|
|
Note that this method is not called to coerce the arguments to \verb@+@
|
|
and \verb@*@, because these are also used to implement sequence
|
|
concatenation and repetition, respectively. Also note that, for the
|
|
same reason, in \verb@n*x@, where \verb@n@ is a built-in number and
|
|
\verb@x@ is an instance, a call to \verb@x.__mul__(n)@ is made.%
|
|
\footnote{The interpreter should really distinguish between
|
|
user-defined classes implementing sequences, mappings or numbers, but
|
|
currently it doesn't --- hence this strange exception.}
|
|
\ttindex{__mul__}
|
|
|
|
\item[{\tt __int__(self)}]\itemjoin
|
|
\item[{\tt __long__(self)}]\itemjoin
|
|
\item[{\tt __float__(self)}]\itembreak
|
|
Called to implement the built-in functions \verb@int()@, \verb@long()@
|
|
and \verb@float()@. Should return a value of the appropriate type.
|
|
\ttindex{__float__}
|
|
\ttindex{__long__}
|
|
\ttindex{__int__}
|
|
|
|
\item[{\tt __oct__(self)}]\itemjoin
|
|
\item[{\tt __hex__(self)}]\itembreak
|
|
Called to implement the built-in functions \verb@oct()@ and
|
|
\verb@hex()@. Should return a string value.
|
|
\ttindex{__hex__}
|
|
\ttindex{__oct__}
|
|
|
|
\end{description}
|