Mercurial > cpython-lru_cache-weakref
annotate Doc/tutorial/classes.rst @ 51810:c8d06dfd4c39 3.0
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| author | Georg Brandl <georg@python.org> |
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| date | Mon, 23 Feb 2009 10:42:25 +0000 |
| parents | ea7e307ddd51 |
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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 private 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*. There are no special constructors or |
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20 destructors. As in Modula-3, there are no shorthands for referencing the |
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21 object's members from its methods: the method function is declared with an |
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22 explicit first argument representing the object, which is provided implicitly by |
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23 the call. As in Smalltalk, classes themselves are objects, albeit in the wider |
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24 sense of the word: in Python, all data types are objects. This provides |
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25 semantics for importing and renaming. Unlike C++ and Modula-3, built-in types |
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26 can be used as base classes for extension by the user. Also, like in C++ but |
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27 unlike in Modula-3, most built-in operators with special syntax (arithmetic |
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28 operators, subscripting etc.) can be redefined for class instances. |
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29 |
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30 |
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31 .. _tut-terminology: |
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32 |
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33 A Word About Terminology |
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34 ======================== |
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35 |
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36 Lacking universally accepted terminology to talk about classes, I will make |
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37 occasional use of Smalltalk and C++ terms. (I would use Modula-3 terms, since |
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38 its object-oriented semantics are closer to those of Python than C++, but I |
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39 expect that few readers have heard of it.) |
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40 |
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41 Objects have individuality, and multiple names (in multiple scopes) can be bound |
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42 to the same object. This is known as aliasing in other languages. This is |
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43 usually not appreciated on a first glance at Python, and can be safely ignored |
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44 when dealing with immutable basic types (numbers, strings, tuples). However, |
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45 aliasing has an (intended!) effect on the semantics of Python code involving |
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46 mutable objects such as lists, dictionaries, and most types representing |
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47 entities outside the program (files, windows, etc.). This is usually used to |
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48 the benefit of the program, since aliases behave like pointers in some respects. |
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49 For example, passing an object is cheap since only a pointer is passed by the |
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50 implementation; and if a function modifies an object passed as an argument, the |
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51 caller will see the change --- this eliminates the need for two different |
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52 argument passing mechanisms as in Pascal. |
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53 |
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54 |
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55 .. _tut-scopes: |
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56 |
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57 Python Scopes and Name Spaces |
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58 ============================= |
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59 |
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60 Before introducing classes, I first have to tell you something about Python's |
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61 scope rules. Class definitions play some neat tricks with namespaces, and you |
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62 need to know how scopes and namespaces work to fully understand what's going on. |
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63 Incidentally, knowledge about this subject is useful for any advanced Python |
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64 programmer. |
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65 |
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66 Let's begin with some definitions. |
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67 |
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68 A *namespace* is a mapping from names to objects. Most namespaces are currently |
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69 implemented as Python dictionaries, but that's normally not noticeable in any |
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70 way (except for performance), and it may change in the future. Examples of |
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71 namespaces are: the set of built-in names (functions such as :func:`abs`, and |
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72 built-in exception names); the global names in a module; and the local names in |
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73 a function invocation. In a sense the set of attributes of an object also form |
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74 a namespace. The important thing to know about namespaces is that there is |
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75 absolutely no relation between names in different namespaces; for instance, two |
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76 different modules may both define a function "maximize" without confusion --- |
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77 users of the modules must prefix it with the module name. |
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78 |
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79 By the way, I use the word *attribute* for any name following a dot --- for |
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80 example, in the expression ``z.real``, ``real`` is an attribute of the object |
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81 ``z``. Strictly speaking, references to names in modules are attribute |
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82 references: in the expression ``modname.funcname``, ``modname`` is a module |
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83 object and ``funcname`` is an attribute of it. In this case there happens to be |
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84 a straightforward mapping between the module's attributes and the global names |
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85 defined in the module: they share the same namespace! [#]_ |
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86 |
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87 Attributes may be read-only or writable. In the latter case, assignment to |
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88 attributes is possible. Module attributes are writable: you can write |
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89 ``modname.the_answer = 42``. Writable attributes may also be deleted with the |
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90 :keyword:`del` statement. For example, ``del modname.the_answer`` will remove |
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91 the attribute :attr:`the_answer` from the object named by ``modname``. |
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92 |
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93 Name spaces are created at different moments and have different lifetimes. The |
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94 namespace containing the built-in names is created when the Python interpreter |
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95 starts up, and is never deleted. The global namespace for a module is created |
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96 when the module definition is read in; normally, module namespaces also last |
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97 until the interpreter quits. The statements executed by the top-level |
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98 invocation of the interpreter, either read from a script file or interactively, |
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99 are considered part of a module called :mod:`__main__`, so they have their own |
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100 global namespace. (The built-in names actually also live in a module; this is |
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101 called :mod:`builtins`.) |
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102 |
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103 The local namespace for a function is created when the function is called, and |
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104 deleted when the function returns or raises an exception that is not handled |
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105 within the function. (Actually, forgetting would be a better way to describe |
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106 what actually happens.) Of course, recursive invocations each have their own |
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107 local namespace. |
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108 |
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109 A *scope* is a textual region of a Python program where a namespace is directly |
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110 accessible. "Directly accessible" here means that an unqualified reference to a |
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111 name attempts to find the name in the namespace. |
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112 |
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113 Although scopes are determined statically, they are used dynamically. At any |
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114 time during execution, there are at least three nested scopes whose namespaces |
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115 are directly accessible: the innermost scope, which is searched first, contains |
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116 the local names; the namespaces of any enclosing functions, which are searched |
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117 starting with the nearest enclosing scope; the middle scope, searched next, |
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118 contains the current module's global names; and the outermost scope (searched |
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119 last) is the namespace containing built-in names. |
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120 |
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121 If a name is declared global, then all references and assignments go directly to |
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122 the middle scope containing the module's global names. To rebind variables |
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123 found outside of the innermost scope, the :keyword:`nonlocal` statement can be |
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124 used; if not declared nonlocal, those variable are read-only (an attempt to |
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125 write to such a variable will simply create a *new* local variable in the |
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126 innermost scope, leaving the identically named outer variable unchanged). |
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127 |
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128 Usually, the local scope references the local names of the (textually) current |
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129 function. Outside functions, the local scope references the same namespace as |
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130 the global scope: the module's namespace. Class definitions place yet another |
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131 namespace in the local scope. |
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132 |
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133 It is important to realize that scopes are determined textually: the global |
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134 scope of a function defined in a module is that module's namespace, no matter |
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135 from where or by what alias the function is called. On the other hand, the |
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136 actual search for names is done dynamically, at run time --- however, the |
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137 language definition is evolving towards static name resolution, at "compile" |
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138 time, so don't rely on dynamic name resolution! (In fact, local variables are |
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139 already determined statically.) |
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140 |
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141 A special quirk of Python is that -- if no :keyword:`global` or |
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142 :keyword:`nonlocal` statement is in effect -- assignments to names always go |
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143 into the innermost scope. Assignments do not copy data --- they just bind names |
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144 to objects. The same is true for deletions: the statement ``del x`` removes the |
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145 binding of ``x`` from the namespace referenced by the local scope. In fact, all |
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146 operations that introduce new names use the local scope: in particular, import |
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147 statements and function definitions bind the module or function name in the |
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148 local scope. (The :keyword:`global` statement can be used to indicate that |
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149 particular variables live in the global scope.) |
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150 |
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151 The :keyword:`global` statement can be used to indicate that particular |
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152 variables live in the global scope and should be rebound there; the |
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153 :keyword:`nonlocal` statement indicates that particular variables live in |
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154 an enclosing scope and should be rebound there. |
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155 |
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156 .. _tut-scopeexample: |
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157 |
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158 Scopes and Namespaces Example |
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159 ----------------------------- |
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160 |
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161 This is an example demonstrating how to reference the different scopes and |
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162 namespaces, and how :keyword:`global` and :keyword:`nonlocal` affect variable |
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163 binding:: |
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164 |
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165 def scope_test(): |
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166 def do_local(): |
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167 spam = "local spam" |
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168 def do_nonlocal(): |
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169 nonlocal spam |
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170 spam = "nonlocal spam" |
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171 def do_global(): |
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172 global spam |
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173 spam = "global spam" |
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174 |
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175 spam = "test spam" |
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176 do_local() |
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177 print("After local assignment:", spam) |
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178 do_nonlocal() |
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179 print("After nonlocal assignment:", spam) |
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180 do_global() |
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181 print("After global assignment:", spam) |
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182 |
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183 scope_test() |
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184 print("In global scope:", spam) |
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185 |
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186 The output of the example code is:: |
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187 |
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188 After local assignment: test spam |
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189 After nonlocal assignment: nonlocal spam |
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190 After global assignment: nonlocal spam |
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191 In global scope: global spam |
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192 |
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193 Note how the *local* assignment (which is default) didn't change *scope_test*\'s |
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194 binding of *spam*. The :keyword:`nonlocal` assignment changed *scope_test*\'s |
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195 binding of *spam*, and the :keyword:`global` assignment changed the module-level |
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196 binding. |
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197 |
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198 You can also see that there was no previous binding for *spam* before the |
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199 :keyword:`global` assignment. |
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200 |
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201 |
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202 .. _tut-firstclasses: |
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203 |
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204 A First Look at Classes |
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205 ======================= |
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206 |
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207 Classes introduce a little bit of new syntax, three new object types, and some |
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208 new semantics. |
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209 |
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210 |
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211 .. _tut-classdefinition: |
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212 |
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213 Class Definition Syntax |
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214 ----------------------- |
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215 |
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216 The simplest form of class definition looks like this:: |
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217 |
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218 class ClassName: |
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219 <statement-1> |
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220 . |
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221 . |
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222 . |
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223 <statement-N> |
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224 |
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225 Class definitions, like function definitions (:keyword:`def` statements) must be |
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226 executed before they have any effect. (You could conceivably place a class |
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227 definition in a branch of an :keyword:`if` statement, or inside a function.) |
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228 |
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229 In practice, the statements inside a class definition will usually be function |
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230 definitions, but other statements are allowed, and sometimes useful --- we'll |
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231 come back to this later. The function definitions inside a class normally have |
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232 a peculiar form of argument list, dictated by the calling conventions for |
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233 methods --- again, this is explained later. |
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234 |
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235 When a class definition is entered, a new namespace is created, and used as the |
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236 local scope --- thus, all assignments to local variables go into this new |
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237 namespace. In particular, function definitions bind the name of the new |
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238 function here. |
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239 |
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240 When a class definition is left normally (via the end), a *class object* is |
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241 created. This is basically a wrapper around the contents of the namespace |
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242 created by the class definition; we'll learn more about class objects in the |
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243 next section. The original local scope (the one in effect just before the class |
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244 definition was entered) is reinstated, and the class object is bound here to the |
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245 class name given in the class definition header (:class:`ClassName` in the |
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246 example). |
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247 |
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248 |
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249 .. _tut-classobjects: |
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250 |
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251 Class Objects |
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252 ------------- |
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253 |
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254 Class objects support two kinds of operations: attribute references and |
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255 instantiation. |
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256 |
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257 *Attribute references* use the standard syntax used for all attribute references |
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258 in Python: ``obj.name``. Valid attribute names are all the names that were in |
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259 the class's namespace when the class object was created. So, if the class |
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260 definition looked like this:: |
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261 |
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262 class MyClass: |
| 49180 | 263 """A simple example class""" |
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264 i = 12345 |
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265 def f(self): |
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266 return 'hello world' |
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267 |
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268 then ``MyClass.i`` and ``MyClass.f`` are valid attribute references, returning |
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269 an integer and a function object, respectively. Class attributes can also be |
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270 assigned to, so you can change the value of ``MyClass.i`` by assignment. |
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271 :attr:`__doc__` is also a valid attribute, returning the docstring belonging to |
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272 the class: ``"A simple example class"``. |
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273 |
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274 Class *instantiation* uses function notation. Just pretend that the class |
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275 object is a parameterless function that returns a new instance of the class. |
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276 For example (assuming the above class):: |
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277 |
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278 x = MyClass() |
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279 |
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280 creates a new *instance* of the class and assigns this object to the local |
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281 variable ``x``. |
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282 |
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283 The instantiation operation ("calling" a class object) creates an empty object. |
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284 Many classes like to create objects with instances customized to a specific |
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285 initial state. Therefore a class may define a special method named |
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286 :meth:`__init__`, like this:: |
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287 |
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288 def __init__(self): |
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289 self.data = [] |
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290 |
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291 When a class defines an :meth:`__init__` method, class instantiation |
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292 automatically invokes :meth:`__init__` for the newly-created class instance. So |
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293 in this example, a new, initialized instance can be obtained by:: |
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294 |
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295 x = MyClass() |
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296 |
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297 Of course, the :meth:`__init__` method may have arguments for greater |
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298 flexibility. In that case, arguments given to the class instantiation operator |
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299 are passed on to :meth:`__init__`. For example, :: |
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300 |
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301 >>> class Complex: |
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302 ... def __init__(self, realpart, imagpart): |
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303 ... self.r = realpart |
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304 ... self.i = imagpart |
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305 ... |
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306 >>> x = Complex(3.0, -4.5) |
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307 >>> x.r, x.i |
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308 (3.0, -4.5) |
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309 |
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310 |
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311 .. _tut-instanceobjects: |
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312 |
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313 Instance Objects |
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314 ---------------- |
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315 |
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316 Now what can we do with instance objects? The only operations understood by |
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317 instance objects are attribute references. There are two kinds of valid |
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318 attribute names, data attributes and methods. |
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319 |
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320 *data attributes* correspond to "instance variables" in Smalltalk, and to "data |
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321 members" in C++. Data attributes need not be declared; like local variables, |
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322 they spring into existence when they are first assigned to. For example, if |
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323 ``x`` is the instance of :class:`MyClass` created above, the following piece of |
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324 code will print the value ``16``, without leaving a trace:: |
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325 |
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326 x.counter = 1 |
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327 while x.counter < 10: |
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328 x.counter = x.counter * 2 |
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329 print(x.counter) |
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330 del x.counter |
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331 |
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332 The other kind of instance attribute reference is a *method*. A method is a |
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333 function that "belongs to" an object. (In Python, the term method is not unique |
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334 to class instances: other object types can have methods as well. For example, |
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335 list objects have methods called append, insert, remove, sort, and so on. |
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336 However, in the following discussion, we'll use the term method exclusively to |
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337 mean methods of class instance objects, unless explicitly stated otherwise.) |
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338 |
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339 .. index:: object: method |
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340 |
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341 Valid method names of an instance object depend on its class. By definition, |
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342 all attributes of a class that are function objects define corresponding |
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343 methods of its instances. So in our example, ``x.f`` is a valid method |
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344 reference, since ``MyClass.f`` is a function, but ``x.i`` is not, since |
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345 ``MyClass.i`` is not. But ``x.f`` is not the same thing as ``MyClass.f`` --- it |
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346 is a *method object*, not a function object. |
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347 |
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348 |
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349 .. _tut-methodobjects: |
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350 |
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351 Method Objects |
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352 -------------- |
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353 |
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354 Usually, a method is called right after it is bound:: |
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355 |
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356 x.f() |
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357 |
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358 In the :class:`MyClass` example, this will return the string ``'hello world'``. |
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359 However, it is not necessary to call a method right away: ``x.f`` is a method |
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360 object, and can be stored away and called at a later time. For example:: |
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361 |
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362 xf = x.f |
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363 while True: |
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364 print(xf()) |
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365 |
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366 will continue to print ``hello world`` until the end of time. |
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367 |
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368 What exactly happens when a method is called? You may have noticed that |
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369 ``x.f()`` was called without an argument above, even though the function |
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370 definition for :meth:`f` specified an argument. What happened to the argument? |
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371 Surely Python raises an exception when a function that requires an argument is |
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372 called without any --- even if the argument isn't actually used... |
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373 |
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374 Actually, you may have guessed the answer: the special thing about methods is |
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375 that the object is passed as the first argument of the function. In our |
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376 example, the call ``x.f()`` is exactly equivalent to ``MyClass.f(x)``. In |
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377 general, calling a method with a list of *n* arguments is equivalent to calling |
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378 the corresponding function with an argument list that is created by inserting |
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379 the method's object before the first argument. |
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380 |
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381 If you still don't understand how methods work, a look at the implementation can |
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382 perhaps clarify matters. When an instance attribute is referenced that isn't a |
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383 data attribute, its class is searched. If the name denotes a valid class |
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384 attribute that is a function object, a method object is created by packing |
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385 (pointers to) the instance object and the function object just found together in |
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386 an abstract object: this is the method object. When the method object is called |
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387 with an argument list, it is unpacked again, a new argument list is constructed |
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388 from the instance object and the original argument list, and the function object |
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389 is called with this new argument list. |
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390 |
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391 |
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392 .. _tut-remarks: |
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393 |
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394 Random Remarks |
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395 ============== |
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396 |
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397 .. These should perhaps be placed more carefully... |
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398 |
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399 Data attributes override method attributes with the same name; to avoid |
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400 accidental name conflicts, which may cause hard-to-find bugs in large programs, |
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401 it is wise to use some kind of convention that minimizes the chance of |
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402 conflicts. Possible conventions include capitalizing method names, prefixing |
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403 data attribute names with a small unique string (perhaps just an underscore), or |
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404 using verbs for methods and nouns for data attributes. |
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405 |
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406 Data attributes may be referenced by methods as well as by ordinary users |
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407 ("clients") of an object. In other words, classes are not usable to implement |
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408 pure abstract data types. In fact, nothing in Python makes it possible to |
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409 enforce data hiding --- it is all based upon convention. (On the other hand, |
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410 the Python implementation, written in C, can completely hide implementation |
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411 details and control access to an object if necessary; this can be used by |
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412 extensions to Python written in C.) |
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413 |
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414 Clients should use data attributes with care --- clients may mess up invariants |
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415 maintained by the methods by stamping on their data attributes. Note that |
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416 clients may add data attributes of their own to an instance object without |
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417 affecting the validity of the methods, as long as name conflicts are avoided --- |
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418 again, a naming convention can save a lot of headaches here. |
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419 |
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420 There is no shorthand for referencing data attributes (or other methods!) from |
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421 within methods. I find that this actually increases the readability of methods: |
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422 there is no chance of confusing local variables and instance variables when |
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423 glancing through a method. |
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424 |
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425 Often, the first argument of a method is called ``self``. This is nothing more |
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426 than a convention: the name ``self`` has absolutely no special meaning to |
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427 Python. (Note, however, that by not following the convention your code may be |
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428 less readable to other Python programmers, and it is also conceivable that a |
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429 *class browser* program might be written that relies upon such a convention.) |
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430 |
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431 Any function object that is a class attribute defines a method for instances of |
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432 that class. It is not necessary that the function definition is textually |
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433 enclosed in the class definition: assigning a function object to a local |
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434 variable in the class is also ok. For example:: |
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435 |
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436 # Function defined outside the class |
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437 def f1(self, x, y): |
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438 return min(x, x+y) |
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439 |
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440 class C: |
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441 f = f1 |
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442 def g(self): |
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443 return 'hello world' |
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444 h = g |
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445 |
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446 Now ``f``, ``g`` and ``h`` are all attributes of class :class:`C` that refer to |
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447 function objects, and consequently they are all methods of instances of |
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448 :class:`C` --- ``h`` being exactly equivalent to ``g``. Note that this practice |
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449 usually only serves to confuse the reader of a program. |
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450 |
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451 Methods may call other methods by using method attributes of the ``self`` |
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452 argument:: |
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453 |
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454 class Bag: |
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455 def __init__(self): |
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456 self.data = [] |
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457 def add(self, x): |
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458 self.data.append(x) |
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459 def addtwice(self, x): |
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460 self.add(x) |
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461 self.add(x) |
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462 |
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463 Methods may reference global names in the same way as ordinary functions. The |
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464 global scope associated with a method is the module containing the class |
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465 definition. (The class itself is never used as a global scope!) While one |
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466 rarely encounters a good reason for using global data in a method, there are |
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467 many legitimate uses of the global scope: for one thing, functions and modules |
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468 imported into the global scope can be used by methods, as well as functions and |
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469 classes defined in it. Usually, the class containing the method is itself |
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470 defined in this global scope, and in the next section we'll find some good |
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471 reasons why a method would want to reference its own class! |
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472 |
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473 Each value is an object, and therefore has a *class* (also called its *type*). |
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474 It is stored as ``object.__class__``. |
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476 |
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477 .. _tut-inheritance: |
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478 |
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479 Inheritance |
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480 =========== |
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481 |
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482 Of course, a language feature would not be worthy of the name "class" without |
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483 supporting inheritance. The syntax for a derived class definition looks like |
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484 this:: |
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485 |
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486 class DerivedClassName(BaseClassName): |
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487 <statement-1> |
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488 . |
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489 . |
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490 . |
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491 <statement-N> |
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492 |
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493 The name :class:`BaseClassName` must be defined in a scope containing the |
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494 derived class definition. In place of a base class name, other arbitrary |
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495 expressions are also allowed. This can be useful, for example, when the base |
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496 class is defined in another module:: |
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497 |
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498 class DerivedClassName(modname.BaseClassName): |
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499 |
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500 Execution of a derived class definition proceeds the same as for a base class. |
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501 When the class object is constructed, the base class is remembered. This is |
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502 used for resolving attribute references: if a requested attribute is not found |
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503 in the class, the search proceeds to look in the base class. This rule is |
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504 applied recursively if the base class itself is derived from some other class. |
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505 |
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506 There's nothing special about instantiation of derived classes: |
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507 ``DerivedClassName()`` creates a new instance of the class. Method references |
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508 are resolved as follows: the corresponding class attribute is searched, |
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509 descending down the chain of base classes if necessary, and the method reference |
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510 is valid if this yields a function object. |
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511 |
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512 Derived classes may override methods of their base classes. Because methods |
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513 have no special privileges when calling other methods of the same object, a |
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514 method of a base class that calls another method defined in the same base class |
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515 may end up calling a method of a derived class that overrides it. (For C++ |
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516 programmers: all methods in Python are effectively ``virtual``.) |
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517 |
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518 An overriding method in a derived class may in fact want to extend rather than |
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519 simply replace the base class method of the same name. There is a simple way to |
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520 call the base class method directly: just call ``BaseClassName.methodname(self, |
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521 arguments)``. This is occasionally useful to clients as well. (Note that this |
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522 only works if the base class is defined or imported directly in the global |
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523 scope.) |
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524 |
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525 Python has two builtin functions that work with inheritance: |
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526 |
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527 * Use :func:`isinstance` to check an object's type: ``isinstance(obj, int)`` |
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528 will be ``True`` only if ``obj.__class__`` is :class:`int` or some class |
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529 derived from :class:`int`. |
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530 |
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531 * Use :func:`issubclass` to check class inheritance: ``issubclass(bool, int)`` |
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532 is ``True`` since :class:`bool` is a subclass of :class:`int`. However, |
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533 ``issubclass(float, int)`` is ``False`` since :class:`float` is not a |
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534 subclass of :class:`int`. |
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535 |
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536 |
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537 |
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538 .. _tut-multiple: |
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539 |
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540 Multiple Inheritance |
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541 -------------------- |
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542 |
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543 Python supports a form of multiple inheritance as well. A class definition with |
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544 multiple base classes looks like this:: |
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545 |
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546 class DerivedClassName(Base1, Base2, Base3): |
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547 <statement-1> |
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548 . |
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549 . |
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550 . |
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551 <statement-N> |
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553 For most purposes, in the simplest cases, you can think of the search for |
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554 attributes inherited from a parent class as depth-first, left-to-right, not |
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555 searching twice in the same class where there is an overlap in the hierarchy. |
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556 Thus, if an attribute is not found in :class:`DerivedClassName`, it is searched |
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557 for in :class:`Base1`, then (recursively) in the base classes of :class:`Base1`, |
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558 and if it was not found there, it was searched for in :class:`Base2`, and so on. |
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559 |
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560 In fact, it is slightly more complex than that; the method resolution order |
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561 changes dynamically to support cooperative calls to :func:`super`. This |
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562 approach is known in some other multiple-inheritance languages as |
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563 call-next-method and is more powerful than the super call found in |
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564 single-inheritance languages. |
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565 |
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567 one or more diamond relationships (where at least one of the parent classes |
| 43155 | 568 can be accessed through multiple paths from the bottommost class). For example, |
| 569 all classes inherit from :class:`object`, so any case of multiple inheritance | |
| 570 provides more than one path to reach :class:`object`. To keep the base classes | |
| 571 from being accessed more than once, the dynamic algorithm linearizes the search | |
| 572 order in a way that preserves the left-to-right ordering specified in each | |
| 573 class, that calls each parent only once, and that is monotonic (meaning that a | |
| 574 class can be subclassed without affecting the precedence order of its parents). | |
| 575 Taken together, these properties make it possible to design reliable and | |
| 576 extensible classes with multiple inheritance. For more detail, see | |
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577 http://www.python.org/download/releases/2.3/mro/. |
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578 |
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579 |
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580 .. _tut-private: |
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581 |
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582 Private Variables |
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583 ================= |
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584 |
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585 There is limited support for class-private identifiers. Any identifier of the |
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586 form ``__spam`` (at least two leading underscores, at most one trailing |
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587 underscore) is textually replaced with ``_classname__spam``, where ``classname`` |
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588 is the current class name with leading underscore(s) stripped. This mangling is |
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589 done without regard to the syntactic position of the identifier, so it can be |
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590 used to define class-private instance and class variables, methods, variables |
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591 stored in globals, and even variables stored in instances. private to this class |
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592 on instances of *other* classes. Truncation may occur when the mangled name |
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593 would be longer than 255 characters. Outside classes, or when the class name |
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594 consists of only underscores, no mangling occurs. |
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595 |
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596 Name mangling is intended to give classes an easy way to define "private" |
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597 instance variables and methods, without having to worry about instance variables |
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598 defined by derived classes, or mucking with instance variables by code outside |
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599 the class. Note that the mangling rules are designed mostly to avoid accidents; |
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600 it still is possible for a determined soul to access or modify a variable that |
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601 is considered private. This can even be useful in special circumstances, such |
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602 as in the debugger, and that's one reason why this loophole is not closed. |
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603 (Buglet: derivation of a class with the same name as the base class makes use of |
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604 private variables of the base class possible.) |
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605 |
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606 Notice that code passed to ``exec()`` or ``eval()`` does not |
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607 consider the classname of the invoking class to be the current class; this is |
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608 similar to the effect of the ``global`` statement, the effect of which is |
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609 likewise restricted to code that is byte-compiled together. The same |
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610 restriction applies to ``getattr()``, ``setattr()`` and ``delattr()``, as well |
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611 as when referencing ``__dict__`` directly. |
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612 |
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613 |
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614 .. _tut-odds: |
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615 |
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616 Odds and Ends |
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617 ============= |
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618 |
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619 Sometimes it is useful to have a data type similar to the Pascal "record" or C |
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620 "struct", bundling together a few named data items. An empty class definition |
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621 will do nicely:: |
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622 |
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623 class Employee: |
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624 pass |
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625 |
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626 john = Employee() # Create an empty employee record |
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627 |
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628 # Fill the fields of the record |
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629 john.name = 'John Doe' |
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630 john.dept = 'computer lab' |
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631 john.salary = 1000 |
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632 |
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633 A piece of Python code that expects a particular abstract data type can often be |
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634 passed a class that emulates the methods of that data type instead. For |
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635 instance, if you have a function that formats some data from a file object, you |
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636 can define a class with methods :meth:`read` and :meth:`readline` that get the |
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637 data from a string buffer instead, and pass it as an argument. |
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638 |
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639 .. (Unfortunately, this technique has its limitations: a class can't define |
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640 operations that are accessed by special syntax such as sequence subscripting |
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641 or arithmetic operators, and assigning such a "pseudo-file" to sys.stdin will |
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642 not cause the interpreter to read further input from it.) |
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643 |
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644 Instance method objects have attributes, too: ``m.__self__`` is the instance |
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645 object with the method :meth:`m`, and ``m.__func__`` is the function object |
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646 corresponding to the method. |
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647 |
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648 |
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649 .. _tut-exceptionclasses: |
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650 |
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651 Exceptions Are Classes Too |
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652 ========================== |
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653 |
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654 User-defined exceptions are identified by classes as well. Using this mechanism |
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655 it is possible to create extensible hierarchies of exceptions. |
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656 |
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657 There are two valid (semantic) forms for the raise statement:: |
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658 |
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659 raise Class |
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660 |
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661 raise Instance |
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662 |
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663 In the first form, ``Class`` must be an instance of :class:`type` or of a |
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664 class derived from it. The first form is a shorthand for:: |
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665 |
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666 raise Class() |
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667 |
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668 A class in an except clause is compatible with an exception if it is the same |
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669 class or a base class thereof (but not the other way around --- an except clause |
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670 listing a derived class is not compatible with a base class). For example, the |
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671 following code will print B, C, D in that order:: |
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672 |
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673 class B(Exception): |
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674 pass |
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675 class C(B): |
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676 pass |
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677 class D(C): |
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678 pass |
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679 |
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680 for c in [B, C, D]: |
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681 try: |
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682 raise c() |
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683 except D: |
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684 print("D") |
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685 except C: |
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686 print("C") |
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687 except B: |
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688 print("B") |
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689 |
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690 Note that if the except clauses were reversed (with ``except B`` first), it |
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691 would have printed B, B, B --- the first matching except clause is triggered. |
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692 |
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693 When an error message is printed for an unhandled exception, the exception's |
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694 class name is printed, then a colon and a space, and finally the instance |
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695 converted to a string using the built-in function :func:`str`. |
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696 |
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697 |
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698 .. _tut-iterators: |
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699 |
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|
700 Iterators |
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|
701 ========= |
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702 |
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703 By now you have probably noticed that most container objects can be looped over |
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704 using a :keyword:`for` statement:: |
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705 |
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706 for element in [1, 2, 3]: |
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707 print(element) |
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708 for element in (1, 2, 3): |
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709 print(element) |
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710 for key in {'one':1, 'two':2}: |
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711 print(key) |
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712 for char in "123": |
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713 print(char) |
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714 for line in open("myfile.txt"): |
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715 print(line) |
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716 |
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717 This style of access is clear, concise, and convenient. The use of iterators |
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718 pervades and unifies Python. Behind the scenes, the :keyword:`for` statement |
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719 calls :func:`iter` on the container object. The function returns an iterator |
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720 object that defines the method :meth:`__next__` which accesses elements in the |
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721 container one at a time. When there are no more elements, :meth:`__next__` |
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722 raises a :exc:`StopIteration` exception which tells the :keyword:`for` loop to |
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723 terminate. You can call the :meth:`__next__` method using the :func:`next` |
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724 builtin; this example shows how it all works:: |
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725 |
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726 >>> s = 'abc' |
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727 >>> it = iter(s) |
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728 >>> it |
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729 <iterator object at 0x00A1DB50> |
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730 >>> next(it) |
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731 'a' |
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732 >>> next(it) |
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733 'b' |
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734 >>> next(it) |
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735 'c' |
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736 >>> next(it) |
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737 |
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738 Traceback (most recent call last): |
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739 File "<stdin>", line 1, in ? |
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740 next(it) |
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741 StopIteration |
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742 |
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743 Having seen the mechanics behind the iterator protocol, it is easy to add |
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744 iterator behavior to your classes. Define a :meth:`__iter__` method which |
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745 returns an object with a :meth:`__next__` method. If the class defines |
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746 :meth:`__next__`, then :meth:`__iter__` can just return ``self``:: |
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747 |
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748 class Reverse: |
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749 "Iterator for looping over a sequence backwards" |
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750 def __init__(self, data): |
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751 self.data = data |
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752 self.index = len(data) |
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753 def __iter__(self): |
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754 return self |
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755 def __next__(self): |
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756 if self.index == 0: |
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757 raise StopIteration |
|
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758 self.index = self.index - 1 |
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759 return self.data[self.index] |
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760 |
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761 >>> for char in Reverse('spam'): |
|
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762 ... print(char) |
|
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|
763 ... |
|
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|
764 m |
|
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|
765 a |
|
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|
766 p |
|
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|
767 s |
|
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768 |
|
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|
769 |
|
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770 .. _tut-generators: |
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771 |
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|
772 Generators |
|
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773 ========== |
|
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774 |
|
43737
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775 :term:`Generator`\s are a simple and powerful tool for creating iterators. They |
|
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|
776 are written like regular functions but use the :keyword:`yield` statement |
|
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|
777 whenever they want to return data. Each time :func:`next` is called on it, the |
|
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|
778 generator resumes where it left-off (it remembers all the data values and which |
|
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|
779 statement was last executed). An example shows that generators can be trivially |
|
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780 easy to create:: |
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781 |
|
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782 def reverse(data): |
|
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783 for index in range(len(data)-1, -1, -1): |
|
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784 yield data[index] |
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|
785 |
|
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786 >>> for char in reverse('golf'): |
|
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|
787 ... print(char) |
|
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788 ... |
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789 f |
|
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|
790 l |
|
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791 o |
|
50566
ea7e307ddd51
Merged revisions 68229 via svnmerge from
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|
792 g |
|
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793 |
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794 Anything that can be done with generators can also be done with class based |
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795 iterators as described in the previous section. What makes generators so |
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796 compact is that the :meth:`__iter__` and :meth:`__next__` methods are created |
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797 automatically. |
|
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798 |
|
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799 Another key feature is that the local variables and execution state are |
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800 automatically saved between calls. This made the function easier to write and |
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801 much more clear than an approach using instance variables like ``self.index`` |
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802 and ``self.data``. |
|
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|
803 |
|
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804 In addition to automatic method creation and saving program state, when |
|
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805 generators terminate, they automatically raise :exc:`StopIteration`. In |
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806 combination, these features make it easy to create iterators with no more effort |
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807 than writing a regular function. |
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|
808 |
|
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|
809 |
|
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810 .. _tut-genexps: |
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|
811 |
|
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812 Generator Expressions |
|
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813 ===================== |
|
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814 |
|
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815 Some simple generators can be coded succinctly as expressions using a syntax |
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816 similar to list comprehensions but with parentheses instead of brackets. These |
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817 expressions are designed for situations where the generator is used right away |
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818 by an enclosing function. Generator expressions are more compact but less |
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819 versatile than full generator definitions and tend to be more memory friendly |
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820 than equivalent list comprehensions. |
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821 |
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822 Examples:: |
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823 |
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824 >>> sum(i*i for i in range(10)) # sum of squares |
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825 285 |
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826 |
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827 >>> xvec = [10, 20, 30] |
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828 >>> yvec = [7, 5, 3] |
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829 >>> sum(x*y for x,y in zip(xvec, yvec)) # dot product |
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830 260 |
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831 |
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832 >>> from math import pi, sin |
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833 >>> sine_table = {x: sin(x*pi/180) for x in range(0, 91)} |
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834 |
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835 >>> unique_words = set(word for line in page for word in line.split()) |
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836 |
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837 >>> valedictorian = max((student.gpa, student.name) for student in graduates) |
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838 |
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839 >>> data = 'golf' |
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840 >>> list(data[i] for i in range(len(data)-1, -1, -1)) |
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841 ['f', 'l', 'o', 'g'] |
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842 |
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843 |
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844 |
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845 .. rubric:: Footnotes |
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846 |
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847 .. [#] Except for one thing. Module objects have a secret read-only attribute called |
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848 :attr:`__dict__` which returns the dictionary used to implement the module's |
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849 namespace; the name :attr:`__dict__` is an attribute but not a global name. |
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850 Obviously, using this violates the abstraction of namespace implementation, and |
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851 should be restricted to things like post-mortem debuggers. |
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852 |
