Mercurial > cpython-lru_cache-weakref
annotate Doc/tutorial/classes.rst @ 63490:f46dcd8a3113 3.1
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r82965 | georg.brandl | 2010-07-19 13:28:05 +0200 (Mo, 19 Jul 2010) | 1 line
Clarification. Yay importlib!
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| author | Georg Brandl <georg@python.org> |
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| date | Sun, 01 Aug 2010 21:28:39 +0000 |
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1 .. _tut-classes: |
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2 |
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3 ******* |
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4 Classes |
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5 ******* |
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6 |
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7 Python's class mechanism adds classes to the language with a minimum of new |
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8 syntax and semantics. It is a mixture of the class mechanisms found in C++ and |
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9 Modula-3. As is true for modules, classes in Python do not put an absolute |
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10 barrier between definition and user, but rather rely on the politeness of the |
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11 user not to "break into the definition." The most important features of classes |
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12 are retained with full power, however: the class inheritance mechanism allows |
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13 multiple base classes, a derived class can override any methods of its base |
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14 class or classes, and a method can call the method of a base class with the same |
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15 name. Objects can contain an arbitrary amount of data. |
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16 |
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17 In C++ terminology, normally class members (including the data members) are |
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18 *public* (except see below :ref:`tut-private`), |
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19 and all member functions are *virtual*. As in Modula-3, there are no shorthands |
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20 for referencing the object's members from its methods: the method function is |
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21 declared with an explicit first argument representing the object, which is |
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22 provided implicitly by the call. As in Smalltalk, classes themselves are |
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23 objects. This provides semantics for importing and renaming. Unlike C++ and |
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24 Modula-3, built-in types can be used as base classes for extension by the user. |
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25 Also, like in C++, most built-in operators with special syntax (arithmetic |
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26 operators, subscripting etc.) can be redefined for class instances. |
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27 |
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28 (Lacking universally accepted terminology to talk about classes, I will make |
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29 occasional use of Smalltalk and C++ terms. I would use Modula-3 terms, since |
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30 its object-oriented semantics are closer to those of Python than C++, but I |
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31 expect that few readers have heard of it.) |
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32 |
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33 |
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34 .. _tut-object: |
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35 |
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36 A Word About Names and Objects |
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37 ============================== |
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38 |
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39 Objects have individuality, and multiple names (in multiple scopes) can be bound |
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40 to the same object. This is known as aliasing in other languages. This is |
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41 usually not appreciated on a first glance at Python, and can be safely ignored |
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42 when dealing with immutable basic types (numbers, strings, tuples). However, |
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43 aliasing has a possibly surprising effect on the semantics of Python code |
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44 involving mutable objects such as lists, dictionaries, and most other types. |
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45 This is usually used to the benefit of the program, since aliases behave like |
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46 pointers in some respects. For example, passing an object is cheap since only a |
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47 pointer is passed by the implementation; and if a function modifies an object |
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48 passed as an argument, the caller will see the change --- this eliminates the |
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49 need for two different argument passing mechanisms as in Pascal. |
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50 |
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51 |
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52 .. _tut-scopes: |
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53 |
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54 Python Scopes and Namespaces |
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55 ============================ |
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56 |
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57 Before introducing classes, I first have to tell you something about Python's |
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58 scope rules. Class definitions play some neat tricks with namespaces, and you |
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59 need to know how scopes and namespaces work to fully understand what's going on. |
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60 Incidentally, knowledge about this subject is useful for any advanced Python |
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61 programmer. |
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62 |
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63 Let's begin with some definitions. |
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64 |
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65 A *namespace* is a mapping from names to objects. Most namespaces are currently |
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66 implemented as Python dictionaries, but that's normally not noticeable in any |
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67 way (except for performance), and it may change in the future. Examples of |
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68 namespaces are: the set of built-in names (functions such as :func:`abs`, and |
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69 built-in exception names); the global names in a module; and the local names in |
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70 a function invocation. In a sense the set of attributes of an object also form |
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71 a namespace. The important thing to know about namespaces is that there is |
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72 absolutely no relation between names in different namespaces; for instance, two |
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73 different modules may both define a function ``maximize`` without confusion --- |
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74 users of the modules must prefix it with the module name. |
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75 |
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76 By the way, I use the word *attribute* for any name following a dot --- for |
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77 example, in the expression ``z.real``, ``real`` is an attribute of the object |
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78 ``z``. Strictly speaking, references to names in modules are attribute |
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79 references: in the expression ``modname.funcname``, ``modname`` is a module |
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80 object and ``funcname`` is an attribute of it. In this case there happens to be |
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81 a straightforward mapping between the module's attributes and the global names |
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82 defined in the module: they share the same namespace! [#]_ |
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83 |
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84 Attributes may be read-only or writable. In the latter case, assignment to |
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85 attributes is possible. Module attributes are writable: you can write |
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86 ``modname.the_answer = 42``. Writable attributes may also be deleted with the |
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87 :keyword:`del` statement. For example, ``del modname.the_answer`` will remove |
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88 the attribute :attr:`the_answer` from the object named by ``modname``. |
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89 |
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90 Namespaces are created at different moments and have different lifetimes. The |
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91 namespace containing the built-in names is created when the Python interpreter |
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92 starts up, and is never deleted. The global namespace for a module is created |
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93 when the module definition is read in; normally, module namespaces also last |
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94 until the interpreter quits. The statements executed by the top-level |
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95 invocation of the interpreter, either read from a script file or interactively, |
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96 are considered part of a module called :mod:`__main__`, so they have their own |
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97 global namespace. (The built-in names actually also live in a module; this is |
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98 called :mod:`builtins`.) |
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99 |
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100 The local namespace for a function is created when the function is called, and |
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101 deleted when the function returns or raises an exception that is not handled |
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102 within the function. (Actually, forgetting would be a better way to describe |
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103 what actually happens.) Of course, recursive invocations each have their own |
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104 local namespace. |
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105 |
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106 A *scope* is a textual region of a Python program where a namespace is directly |
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107 accessible. "Directly accessible" here means that an unqualified reference to a |
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108 name attempts to find the name in the namespace. |
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109 |
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110 Although scopes are determined statically, they are used dynamically. At any |
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111 time during execution, there are at least three nested scopes whose namespaces |
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112 are directly accessible: |
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113 |
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114 * the innermost scope, which is searched first, contains the local names |
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115 * the scopes of any enclosing functions, which are searched starting with the |
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116 nearest enclosing scope, contains non-local, but also non-global names |
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117 * the next-to-last scope contains the current module's global names |
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118 * the outermost scope (searched last) is the namespace containing built-in names |
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119 |
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120 If a name is declared global, then all references and assignments go directly to |
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121 the middle scope containing the module's global names. To rebind variables |
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122 found outside of the innermost scope, the :keyword:`nonlocal` statement can be |
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123 used; if not declared nonlocal, those variable are read-only (an attempt to |
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124 write to such a variable will simply create a *new* local variable in the |
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125 innermost scope, leaving the identically named outer variable unchanged). |
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126 |
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127 Usually, the local scope references the local names of the (textually) current |
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128 function. Outside functions, the local scope references the same namespace as |
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129 the global scope: the module's namespace. Class definitions place yet another |
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130 namespace in the local scope. |
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131 |
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132 It is important to realize that scopes are determined textually: the global |
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133 scope of a function defined in a module is that module's namespace, no matter |
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134 from where or by what alias the function is called. On the other hand, the |
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135 actual search for names is done dynamically, at run time --- however, the |
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136 language definition is evolving towards static name resolution, at "compile" |
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137 time, so don't rely on dynamic name resolution! (In fact, local variables are |
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138 already determined statically.) |
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139 |
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140 A special quirk of Python is that -- if no :keyword:`global` statement is in |
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141 effect -- assignments to names always go into the innermost scope. Assignments |
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142 do not copy data --- they just bind names to objects. The same is true for |
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143 deletions: the statement ``del x`` removes the binding of ``x`` from the |
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144 namespace referenced by the local scope. In fact, all operations that introduce |
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145 new names use the local scope: in particular, :keyword:`import` statements and |
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146 function definitions bind the module or function name in the local scope. |
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147 |
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148 The :keyword:`global` statement can be used to indicate that particular |
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149 variables live in the global scope and should be rebound there; the |
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150 :keyword:`nonlocal` statement indicates that particular variables live in |
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151 an enclosing scope and should be rebound there. |
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152 |
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153 .. _tut-scopeexample: |
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154 |
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155 Scopes and Namespaces Example |
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156 ----------------------------- |
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157 |
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158 This is an example demonstrating how to reference the different scopes and |
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159 namespaces, and how :keyword:`global` and :keyword:`nonlocal` affect variable |
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160 binding:: |
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161 |
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162 def scope_test(): |
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163 def do_local(): |
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164 spam = "local spam" |
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165 def do_nonlocal(): |
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166 nonlocal spam |
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167 spam = "nonlocal spam" |
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168 def do_global(): |
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169 global spam |
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170 spam = "global spam" |
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171 |
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172 spam = "test spam" |
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173 do_local() |
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174 print("After local assignment:", spam) |
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175 do_nonlocal() |
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176 print("After nonlocal assignment:", spam) |
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177 do_global() |
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178 print("After global assignment:", spam) |
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179 |
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180 scope_test() |
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181 print("In global scope:", spam) |
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182 |
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183 The output of the example code is:: |
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184 |
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185 After local assignment: test spam |
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186 After nonlocal assignment: nonlocal spam |
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187 After global assignment: nonlocal spam |
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188 In global scope: global spam |
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189 |
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190 Note how the *local* assignment (which is default) didn't change *scope_test*\'s |
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191 binding of *spam*. The :keyword:`nonlocal` assignment changed *scope_test*\'s |
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192 binding of *spam*, and the :keyword:`global` assignment changed the module-level |
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193 binding. |
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194 |
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195 You can also see that there was no previous binding for *spam* before the |
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196 :keyword:`global` assignment. |
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197 |
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198 |
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199 .. _tut-firstclasses: |
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200 |
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201 A First Look at Classes |
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202 ======================= |
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203 |
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204 Classes introduce a little bit of new syntax, three new object types, and some |
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205 new semantics. |
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206 |
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207 |
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208 .. _tut-classdefinition: |
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209 |
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210 Class Definition Syntax |
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211 ----------------------- |
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212 |
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213 The simplest form of class definition looks like this:: |
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214 |
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215 class ClassName: |
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216 <statement-1> |
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217 . |
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218 . |
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219 . |
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220 <statement-N> |
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221 |
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222 Class definitions, like function definitions (:keyword:`def` statements) must be |
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223 executed before they have any effect. (You could conceivably place a class |
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224 definition in a branch of an :keyword:`if` statement, or inside a function.) |
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225 |
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226 In practice, the statements inside a class definition will usually be function |
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227 definitions, but other statements are allowed, and sometimes useful --- we'll |
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228 come back to this later. The function definitions inside a class normally have |
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229 a peculiar form of argument list, dictated by the calling conventions for |
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230 methods --- again, this is explained later. |
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231 |
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232 When a class definition is entered, a new namespace is created, and used as the |
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233 local scope --- thus, all assignments to local variables go into this new |
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234 namespace. In particular, function definitions bind the name of the new |
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235 function here. |
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236 |
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237 When a class definition is left normally (via the end), a *class object* is |
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238 created. This is basically a wrapper around the contents of the namespace |
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239 created by the class definition; we'll learn more about class objects in the |
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240 next section. The original local scope (the one in effect just before the class |
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241 definition was entered) is reinstated, and the class object is bound here to the |
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242 class name given in the class definition header (:class:`ClassName` in the |
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243 example). |
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244 |
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245 |
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246 .. _tut-classobjects: |
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247 |
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248 Class Objects |
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249 ------------- |
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250 |
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251 Class objects support two kinds of operations: attribute references and |
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252 instantiation. |
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253 |
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254 *Attribute references* use the standard syntax used for all attribute references |
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255 in Python: ``obj.name``. Valid attribute names are all the names that were in |
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256 the class's namespace when the class object was created. So, if the class |
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257 definition looked like this:: |
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258 |
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259 class MyClass: |
| 49180 | 260 """A simple example class""" |
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261 i = 12345 |
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262 def f(self): |
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263 return 'hello world' |
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264 |
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265 then ``MyClass.i`` and ``MyClass.f`` are valid attribute references, returning |
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266 an integer and a function object, respectively. Class attributes can also be |
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267 assigned to, so you can change the value of ``MyClass.i`` by assignment. |
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268 :attr:`__doc__` is also a valid attribute, returning the docstring belonging to |
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269 the class: ``"A simple example class"``. |
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270 |
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271 Class *instantiation* uses function notation. Just pretend that the class |
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272 object is a parameterless function that returns a new instance of the class. |
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273 For example (assuming the above class):: |
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274 |
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275 x = MyClass() |
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276 |
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277 creates a new *instance* of the class and assigns this object to the local |
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278 variable ``x``. |
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279 |
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280 The instantiation operation ("calling" a class object) creates an empty object. |
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281 Many classes like to create objects with instances customized to a specific |
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282 initial state. Therefore a class may define a special method named |
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283 :meth:`__init__`, like this:: |
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284 |
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285 def __init__(self): |
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286 self.data = [] |
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287 |
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288 When a class defines an :meth:`__init__` method, class instantiation |
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289 automatically invokes :meth:`__init__` for the newly-created class instance. So |
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290 in this example, a new, initialized instance can be obtained by:: |
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291 |
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292 x = MyClass() |
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293 |
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294 Of course, the :meth:`__init__` method may have arguments for greater |
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295 flexibility. In that case, arguments given to the class instantiation operator |
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296 are passed on to :meth:`__init__`. For example, :: |
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297 |
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298 >>> class Complex: |
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299 ... def __init__(self, realpart, imagpart): |
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300 ... self.r = realpart |
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301 ... self.i = imagpart |
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302 ... |
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303 >>> x = Complex(3.0, -4.5) |
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304 >>> x.r, x.i |
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305 (3.0, -4.5) |
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306 |
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307 |
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308 .. _tut-instanceobjects: |
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309 |
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310 Instance Objects |
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311 ---------------- |
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312 |
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313 Now what can we do with instance objects? The only operations understood by |
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314 instance objects are attribute references. There are two kinds of valid |
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315 attribute names, data attributes and methods. |
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316 |
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317 *data attributes* correspond to "instance variables" in Smalltalk, and to "data |
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318 members" in C++. Data attributes need not be declared; like local variables, |
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319 they spring into existence when they are first assigned to. For example, if |
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320 ``x`` is the instance of :class:`MyClass` created above, the following piece of |
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321 code will print the value ``16``, without leaving a trace:: |
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322 |
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323 x.counter = 1 |
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324 while x.counter < 10: |
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325 x.counter = x.counter * 2 |
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326 print(x.counter) |
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327 del x.counter |
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328 |
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329 The other kind of instance attribute reference is a *method*. A method is a |
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330 function that "belongs to" an object. (In Python, the term method is not unique |
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331 to class instances: other object types can have methods as well. For example, |
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332 list objects have methods called append, insert, remove, sort, and so on. |
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333 However, in the following discussion, we'll use the term method exclusively to |
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334 mean methods of class instance objects, unless explicitly stated otherwise.) |
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335 |
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336 .. index:: object: method |
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337 |
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338 Valid method names of an instance object depend on its class. By definition, |
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339 all attributes of a class that are function objects define corresponding |
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340 methods of its instances. So in our example, ``x.f`` is a valid method |
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341 reference, since ``MyClass.f`` is a function, but ``x.i`` is not, since |
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342 ``MyClass.i`` is not. But ``x.f`` is not the same thing as ``MyClass.f`` --- it |
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343 is a *method object*, not a function object. |
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344 |
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345 |
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346 .. _tut-methodobjects: |
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347 |
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348 Method Objects |
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349 -------------- |
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350 |
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351 Usually, a method is called right after it is bound:: |
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352 |
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353 x.f() |
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354 |
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355 In the :class:`MyClass` example, this will return the string ``'hello world'``. |
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356 However, it is not necessary to call a method right away: ``x.f`` is a method |
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357 object, and can be stored away and called at a later time. For example:: |
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358 |
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359 xf = x.f |
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360 while True: |
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361 print(xf()) |
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362 |
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363 will continue to print ``hello world`` until the end of time. |
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364 |
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365 What exactly happens when a method is called? You may have noticed that |
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366 ``x.f()`` was called without an argument above, even though the function |
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367 definition for :meth:`f` specified an argument. What happened to the argument? |
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368 Surely Python raises an exception when a function that requires an argument is |
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369 called without any --- even if the argument isn't actually used... |
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370 |
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371 Actually, you may have guessed the answer: the special thing about methods is |
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372 that the object is passed as the first argument of the function. In our |
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373 example, the call ``x.f()`` is exactly equivalent to ``MyClass.f(x)``. In |
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374 general, calling a method with a list of *n* arguments is equivalent to calling |
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375 the corresponding function with an argument list that is created by inserting |
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376 the method's object before the first argument. |
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377 |
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378 If you still don't understand how methods work, a look at the implementation can |
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379 perhaps clarify matters. When an instance attribute is referenced that isn't a |
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380 data attribute, its class is searched. If the name denotes a valid class |
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381 attribute that is a function object, a method object is created by packing |
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382 (pointers to) the instance object and the function object just found together in |
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383 an abstract object: this is the method object. When the method object is called |
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384 with an argument list, a new argument list is constructed from the instance |
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385 object and the argument list, and the function object is called with this new |
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386 argument list. |
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387 |
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388 |
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389 .. _tut-remarks: |
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390 |
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391 Random Remarks |
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392 ============== |
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393 |
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394 .. These should perhaps be placed more carefully... |
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395 |
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396 Data attributes override method attributes with the same name; to avoid |
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397 accidental name conflicts, which may cause hard-to-find bugs in large programs, |
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398 it is wise to use some kind of convention that minimizes the chance of |
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399 conflicts. Possible conventions include capitalizing method names, prefixing |
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400 data attribute names with a small unique string (perhaps just an underscore), or |
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401 using verbs for methods and nouns for data attributes. |
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402 |
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403 Data attributes may be referenced by methods as well as by ordinary users |
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404 ("clients") of an object. In other words, classes are not usable to implement |
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405 pure abstract data types. In fact, nothing in Python makes it possible to |
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406 enforce data hiding --- it is all based upon convention. (On the other hand, |
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407 the Python implementation, written in C, can completely hide implementation |
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408 details and control access to an object if necessary; this can be used by |
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409 extensions to Python written in C.) |
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410 |
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411 Clients should use data attributes with care --- clients may mess up invariants |
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412 maintained by the methods by stamping on their data attributes. Note that |
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413 clients may add data attributes of their own to an instance object without |
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414 affecting the validity of the methods, as long as name conflicts are avoided --- |
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415 again, a naming convention can save a lot of headaches here. |
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416 |
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417 There is no shorthand for referencing data attributes (or other methods!) from |
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418 within methods. I find that this actually increases the readability of methods: |
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419 there is no chance of confusing local variables and instance variables when |
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420 glancing through a method. |
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421 |
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422 Often, the first argument of a method is called ``self``. This is nothing more |
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423 than a convention: the name ``self`` has absolutely no special meaning to |
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424 Python. Note, however, that by not following the convention your code may be |
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425 less readable to other Python programmers, and it is also conceivable that a |
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426 *class browser* program might be written that relies upon such a convention. |
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427 |
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428 Any function object that is a class attribute defines a method for instances of |
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429 that class. It is not necessary that the function definition is textually |
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430 enclosed in the class definition: assigning a function object to a local |
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431 variable in the class is also ok. For example:: |
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432 |
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433 # Function defined outside the class |
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434 def f1(self, x, y): |
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435 return min(x, x+y) |
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436 |
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437 class C: |
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438 f = f1 |
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439 def g(self): |
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440 return 'hello world' |
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441 h = g |
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442 |
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443 Now ``f``, ``g`` and ``h`` are all attributes of class :class:`C` that refer to |
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444 function objects, and consequently they are all methods of instances of |
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445 :class:`C` --- ``h`` being exactly equivalent to ``g``. Note that this practice |
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446 usually only serves to confuse the reader of a program. |
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447 |
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448 Methods may call other methods by using method attributes of the ``self`` |
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449 argument:: |
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451 class Bag: |
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452 def __init__(self): |
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453 self.data = [] |
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454 def add(self, x): |
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455 self.data.append(x) |
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456 def addtwice(self, x): |
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457 self.add(x) |
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458 self.add(x) |
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459 |
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460 Methods may reference global names in the same way as ordinary functions. The |
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461 global scope associated with a method is the module containing the class |
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462 definition. (The class itself is never used as a global scope.) While one |
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463 rarely encounters a good reason for using global data in a method, there are |
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464 many legitimate uses of the global scope: for one thing, functions and modules |
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465 imported into the global scope can be used by methods, as well as functions and |
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466 classes defined in it. Usually, the class containing the method is itself |
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467 defined in this global scope, and in the next section we'll find some good |
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468 reasons why a method would want to reference its own class. |
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469 |
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470 Each value is an object, and therefore has a *class* (also called its *type*). |
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471 It is stored as ``object.__class__``. |
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472 |
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473 |
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474 .. _tut-inheritance: |
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475 |
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476 Inheritance |
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477 =========== |
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478 |
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479 Of course, a language feature would not be worthy of the name "class" without |
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480 supporting inheritance. The syntax for a derived class definition looks like |
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481 this:: |
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482 |
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483 class DerivedClassName(BaseClassName): |
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484 <statement-1> |
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485 . |
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486 . |
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487 . |
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488 <statement-N> |
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489 |
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490 The name :class:`BaseClassName` must be defined in a scope containing the |
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491 derived class definition. In place of a base class name, other arbitrary |
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492 expressions are also allowed. This can be useful, for example, when the base |
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493 class is defined in another module:: |
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494 |
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495 class DerivedClassName(modname.BaseClassName): |
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496 |
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497 Execution of a derived class definition proceeds the same as for a base class. |
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498 When the class object is constructed, the base class is remembered. This is |
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499 used for resolving attribute references: if a requested attribute is not found |
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500 in the class, the search proceeds to look in the base class. This rule is |
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501 applied recursively if the base class itself is derived from some other class. |
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502 |
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503 There's nothing special about instantiation of derived classes: |
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504 ``DerivedClassName()`` creates a new instance of the class. Method references |
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505 are resolved as follows: the corresponding class attribute is searched, |
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506 descending down the chain of base classes if necessary, and the method reference |
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507 is valid if this yields a function object. |
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508 |
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509 Derived classes may override methods of their base classes. Because methods |
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510 have no special privileges when calling other methods of the same object, a |
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511 method of a base class that calls another method defined in the same base class |
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512 may end up calling a method of a derived class that overrides it. (For C++ |
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513 programmers: all methods in Python are effectively ``virtual``.) |
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514 |
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515 An overriding method in a derived class may in fact want to extend rather than |
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516 simply replace the base class method of the same name. There is a simple way to |
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517 call the base class method directly: just call ``BaseClassName.methodname(self, |
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518 arguments)``. This is occasionally useful to clients as well. (Note that this |
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519 only works if the base class is accessible as ``BaseClassName`` in the global |
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520 scope.) |
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521 |
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522 Python has two built-in functions that work with inheritance: |
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523 |
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524 * Use :func:`isinstance` to check an instance's type: ``isinstance(obj, int)`` |
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525 will be ``True`` only if ``obj.__class__`` is :class:`int` or some class |
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526 derived from :class:`int`. |
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527 |
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528 * Use :func:`issubclass` to check class inheritance: ``issubclass(bool, int)`` |
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529 is ``True`` since :class:`bool` is a subclass of :class:`int`. However, |
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530 ``issubclass(float, int)`` is ``False`` since :class:`float` is not a |
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531 subclass of :class:`int`. |
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532 |
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533 |
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534 |
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535 .. _tut-multiple: |
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536 |
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537 Multiple Inheritance |
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538 -------------------- |
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539 |
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540 Python supports a form of multiple inheritance as well. A class definition with |
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541 multiple base classes looks like this:: |
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542 |
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543 class DerivedClassName(Base1, Base2, Base3): |
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544 <statement-1> |
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545 . |
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546 . |
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547 . |
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548 <statement-N> |
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549 |
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550 For most purposes, in the simplest cases, you can think of the search for |
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551 attributes inherited from a parent class as depth-first, left-to-right, not |
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552 searching twice in the same class where there is an overlap in the hierarchy. |
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553 Thus, if an attribute is not found in :class:`DerivedClassName`, it is searched |
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554 for in :class:`Base1`, then (recursively) in the base classes of :class:`Base1`, |
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555 and if it was not found there, it was searched for in :class:`Base2`, and so on. |
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556 |
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557 In fact, it is slightly more complex than that; the method resolution order |
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558 changes dynamically to support cooperative calls to :func:`super`. This |
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559 approach is known in some other multiple-inheritance languages as |
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560 call-next-method and is more powerful than the super call found in |
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561 single-inheritance languages. |
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562 |
| 43155 | 563 Dynamic ordering is necessary because all cases of multiple inheritance exhibit |
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564 one or more diamond relationships (where at least one of the parent classes |
| 43155 | 565 can be accessed through multiple paths from the bottommost class). For example, |
| 566 all classes inherit from :class:`object`, so any case of multiple inheritance | |
| 567 provides more than one path to reach :class:`object`. To keep the base classes | |
| 568 from being accessed more than once, the dynamic algorithm linearizes the search | |
| 569 order in a way that preserves the left-to-right ordering specified in each | |
| 570 class, that calls each parent only once, and that is monotonic (meaning that a | |
| 571 class can be subclassed without affecting the precedence order of its parents). | |
| 572 Taken together, these properties make it possible to design reliable and | |
| 573 extensible classes with multiple inheritance. For more detail, see | |
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574 http://www.python.org/download/releases/2.3/mro/. |
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575 |
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576 |
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577 .. _tut-private: |
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578 |
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579 Private Variables |
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580 ================= |
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581 |
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582 "Private" instance variables that cannot be accessed except from inside an |
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583 object don't exist in Python. However, there is a convention that is followed |
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584 by most Python code: a name prefixed with an underscore (e.g. ``_spam``) should |
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585 be treated as a non-public part of the API (whether it is a function, a method |
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586 or a data member). It should be considered an implementation detail and subject |
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587 to change without notice. |
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588 |
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589 Since there is a valid use-case for class-private members (namely to avoid name |
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590 clashes of names with names defined by subclasses), there is limited support for |
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591 such a mechanism, called :dfn:`name mangling`. Any identifier of the form |
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592 ``__spam`` (at least two leading underscores, at most one trailing underscore) |
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593 is textually replaced with ``_classname__spam``, where ``classname`` is the |
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594 current class name with leading underscore(s) stripped. This mangling is done |
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595 without regard to the syntactic position of the identifier, as long as it |
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596 occurs within the definition of a class. |
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597 |
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598 Note that the mangling rules are designed mostly to avoid accidents; it still is |
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599 possible to access or modify a variable that is considered private. This can |
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600 even be useful in special circumstances, such as in the debugger. |
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601 |
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602 Notice that code passed to ``exec()`` or ``eval()`` does not consider the |
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603 classname of the invoking class to be the current class; this is similar to the |
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604 effect of the ``global`` statement, the effect of which is likewise restricted |
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605 to code that is byte-compiled together. The same restriction applies to |
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606 ``getattr()``, ``setattr()`` and ``delattr()``, as well as when referencing |
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607 ``__dict__`` directly. |
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608 |
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609 |
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610 .. _tut-odds: |
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611 |
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612 Odds and Ends |
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613 ============= |
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614 |
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615 Sometimes it is useful to have a data type similar to the Pascal "record" or C |
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616 "struct", bundling together a few named data items. An empty class definition |
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617 will do nicely:: |
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618 |
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619 class Employee: |
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620 pass |
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621 |
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622 john = Employee() # Create an empty employee record |
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623 |
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624 # Fill the fields of the record |
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625 john.name = 'John Doe' |
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626 john.dept = 'computer lab' |
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627 john.salary = 1000 |
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628 |
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629 A piece of Python code that expects a particular abstract data type can often be |
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630 passed a class that emulates the methods of that data type instead. For |
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631 instance, if you have a function that formats some data from a file object, you |
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632 can define a class with methods :meth:`read` and :meth:`readline` that get the |
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633 data from a string buffer instead, and pass it as an argument. |
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634 |
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635 .. (Unfortunately, this technique has its limitations: a class can't define |
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636 operations that are accessed by special syntax such as sequence subscripting |
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637 or arithmetic operators, and assigning such a "pseudo-file" to sys.stdin will |
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638 not cause the interpreter to read further input from it.) |
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639 |
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640 Instance method objects have attributes, too: ``m.__self__`` is the instance |
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641 object with the method :meth:`m`, and ``m.__func__`` is the function object |
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642 corresponding to the method. |
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645 .. _tut-exceptionclasses: |
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646 |
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647 Exceptions Are Classes Too |
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648 ========================== |
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649 |
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650 User-defined exceptions are identified by classes as well. Using this mechanism |
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651 it is possible to create extensible hierarchies of exceptions. |
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652 |
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653 There are two new valid (semantic) forms for the :keyword:`raise` statement:: |
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654 |
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655 raise Class |
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656 |
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657 raise Instance |
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658 |
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659 In the first form, ``Class`` must be an instance of :class:`type` or of a |
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660 class derived from it. The first form is a shorthand for:: |
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661 |
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662 raise Class() |
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664 A class in an :keyword:`except` clause is compatible with an exception if it is |
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665 the same class or a base class thereof (but not the other way around --- an |
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666 except clause listing a derived class is not compatible with a base class). For |
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667 example, the following code will print B, C, D in that order:: |
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668 |
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#3525: 3.0 exception changes in tutorial.
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669 class B(Exception): |
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670 pass |
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671 class C(B): |
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672 pass |
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673 class D(C): |
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674 pass |
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675 |
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676 for c in [B, C, D]: |
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677 try: |
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678 raise c() |
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679 except D: |
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680 print("D") |
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681 except C: |
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682 print("C") |
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683 except B: |
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684 print("B") |
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685 |
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686 Note that if the except clauses were reversed (with ``except B`` first), it |
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687 would have printed B, B, B --- the first matching except clause is triggered. |
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688 |
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689 When an error message is printed for an unhandled exception, the exception's |
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690 class name is printed, then a colon and a space, and finally the instance |
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691 converted to a string using the built-in function :func:`str`. |
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692 |
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693 |
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694 .. _tut-iterators: |
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695 |
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696 Iterators |
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697 ========= |
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698 |
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699 By now you have probably noticed that most container objects can be looped over |
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700 using a :keyword:`for` statement:: |
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701 |
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702 for element in [1, 2, 3]: |
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703 print(element) |
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704 for element in (1, 2, 3): |
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705 print(element) |
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706 for key in {'one':1, 'two':2}: |
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707 print(key) |
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708 for char in "123": |
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709 print(char) |
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710 for line in open("myfile.txt"): |
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711 print(line) |
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712 |
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713 This style of access is clear, concise, and convenient. The use of iterators |
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714 pervades and unifies Python. Behind the scenes, the :keyword:`for` statement |
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715 calls :func:`iter` on the container object. The function returns an iterator |
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716 object that defines the method :meth:`__next__` which accesses elements in the |
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717 container one at a time. When there are no more elements, :meth:`__next__` |
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718 raises a :exc:`StopIteration` exception which tells the :keyword:`for` loop to |
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719 terminate. You can call the :meth:`__next__` method using the :func:`next` |
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720 builtin; this example shows how it all works:: |
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721 |
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722 >>> s = 'abc' |
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723 >>> it = iter(s) |
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724 >>> it |
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725 <iterator object at 0x00A1DB50> |
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726 >>> next(it) |
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727 'a' |
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728 >>> next(it) |
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729 'b' |
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730 >>> next(it) |
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731 'c' |
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732 >>> next(it) |
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733 |
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734 Traceback (most recent call last): |
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735 File "<stdin>", line 1, in ? |
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736 next(it) |
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737 StopIteration |
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738 |
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739 Having seen the mechanics behind the iterator protocol, it is easy to add |
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740 iterator behavior to your classes. Define an :meth:`__iter__` method which |
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741 returns an object with a :meth:`__next__` method. If the class defines |
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742 :meth:`__next__`, then :meth:`__iter__` can just return ``self``:: |
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743 |
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744 class Reverse: |
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745 "Iterator for looping over a sequence backwards" |
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746 def __init__(self, data): |
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747 self.data = data |
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748 self.index = len(data) |
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749 def __iter__(self): |
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750 return self |
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751 def __next__(self): |
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752 if self.index == 0: |
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753 raise StopIteration |
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754 self.index = self.index - 1 |
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755 return self.data[self.index] |
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756 |
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757 >>> rev = Reverse('spam') |
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758 >>> iter(rev) |
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759 <__main__.Reverse object at 0x00A1DB50> |
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760 >>> for char in rev: |
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761 ... print(char) |
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762 ... |
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763 m |
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764 a |
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765 p |
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766 s |
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767 |
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768 |
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769 .. _tut-generators: |
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770 |
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771 Generators |
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772 ========== |
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773 |
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774 :term:`Generator`\s are a simple and powerful tool for creating iterators. They |
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775 are written like regular functions but use the :keyword:`yield` statement |
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776 whenever they want to return data. Each time :func:`next` is called on it, the |
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777 generator resumes where it left-off (it remembers all the data values and which |
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778 statement was last executed). An example shows that generators can be trivially |
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779 easy to create:: |
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780 |
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781 def reverse(data): |
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782 for index in range(len(data)-1, -1, -1): |
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783 yield data[index] |
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784 |
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785 >>> for char in reverse('golf'): |
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786 ... print(char) |
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787 ... |
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788 f |
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789 l |
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790 o |
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793 Anything that can be done with generators can also be done with class based |
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794 iterators as described in the previous section. What makes generators so |
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795 compact is that the :meth:`__iter__` and :meth:`__next__` methods are created |
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796 automatically. |
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797 |
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798 Another key feature is that the local variables and execution state are |
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799 automatically saved between calls. This made the function easier to write and |
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800 much more clear than an approach using instance variables like ``self.index`` |
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801 and ``self.data``. |
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802 |
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803 In addition to automatic method creation and saving program state, when |
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804 generators terminate, they automatically raise :exc:`StopIteration`. In |
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805 combination, these features make it easy to create iterators with no more effort |
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806 than writing a regular function. |
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807 |
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808 |
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809 .. _tut-genexps: |
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810 |
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811 Generator Expressions |
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812 ===================== |
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813 |
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814 Some simple generators can be coded succinctly as expressions using a syntax |
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815 similar to list comprehensions but with parentheses instead of brackets. These |
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816 expressions are designed for situations where the generator is used right away |
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817 by an enclosing function. Generator expressions are more compact but less |
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818 versatile than full generator definitions and tend to be more memory friendly |
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819 than equivalent list comprehensions. |
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820 |
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821 Examples:: |
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822 |
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823 >>> sum(i*i for i in range(10)) # sum of squares |
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824 285 |
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825 |
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826 >>> xvec = [10, 20, 30] |
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827 >>> yvec = [7, 5, 3] |
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828 >>> sum(x*y for x,y in zip(xvec, yvec)) # dot product |
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829 260 |
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830 |
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831 >>> from math import pi, sin |
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832 >>> sine_table = {x: sin(x*pi/180) for x in range(0, 91)} |
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833 |
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834 >>> unique_words = set(word for line in page for word in line.split()) |
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835 |
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836 >>> valedictorian = max((student.gpa, student.name) for student in graduates) |
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837 |
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838 >>> data = 'golf' |
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839 >>> list(data[i] for i in range(len(data)-1, -1, -1)) |
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840 ['f', 'l', 'o', 'g'] |
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841 |
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842 |
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843 |
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844 .. rubric:: Footnotes |
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845 |
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846 .. [#] Except for one thing. Module objects have a secret read-only attribute called |
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847 :attr:`__dict__` which returns the dictionary used to implement the module's |
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848 namespace; the name :attr:`__dict__` is an attribute but not a global name. |
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849 Obviously, using this violates the abstraction of namespace implementation, and |
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850 should be restricted to things like post-mortem debuggers. |
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851 |
