Mercurial > cpython-lru_cache-weakref
annotate Doc/tutorial/modules.rst @ 66978:aed2bbafa550 3.1
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r87324 | r.david.murray | 2010-12-16 14:08:51 -0500 (Thu, 16 Dec 2010) | 9 lines
#10719: restore messages generated on invalid compileall args
Before the introduction of filename arguments to compileall it gave semi useful
messages about not being able to 'list' names that weren't valid directories.
This fix restores that behavior. In addition to the test for this case, the
patch also adds a test for the default behavior of compileall when no arguments
are provided, and fixes a bug in one of the previously added tests.
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| author | R. David Murray <rdmurray@bitdance.com> |
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| date | Thu, 16 Dec 2010 19:10:16 +0000 |
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| children | bf8b4c43fb94 |
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1 .. _tut-modules: |
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2 |
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3 ******* |
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4 Modules |
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5 ******* |
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6 |
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7 If you quit from the Python interpreter and enter it again, the definitions you |
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8 have made (functions and variables) are lost. Therefore, if you want to write a |
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9 somewhat longer program, you are better off using a text editor to prepare the |
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10 input for the interpreter and running it with that file as input instead. This |
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11 is known as creating a *script*. As your program gets longer, you may want to |
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12 split it into several files for easier maintenance. You may also want to use a |
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13 handy function that you've written in several programs without copying its |
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14 definition into each program. |
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15 |
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16 To support this, Python has a way to put definitions in a file and use them in a |
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17 script or in an interactive instance of the interpreter. Such a file is called a |
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18 *module*; definitions from a module can be *imported* into other modules or into |
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19 the *main* module (the collection of variables that you have access to in a |
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20 script executed at the top level and in calculator mode). |
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21 |
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22 A module is a file containing Python definitions and statements. The file name |
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23 is the module name with the suffix :file:`.py` appended. Within a module, the |
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24 module's name (as a string) is available as the value of the global variable |
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25 ``__name__``. For instance, use your favorite text editor to create a file |
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26 called :file:`fibo.py` in the current directory with the following contents:: |
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27 |
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28 # Fibonacci numbers module |
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29 |
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30 def fib(n): # write Fibonacci series up to n |
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31 a, b = 0, 1 |
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32 while b < n: |
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33 print(b, end=' ') |
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34 a, b = b, a+b |
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35 print() |
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36 |
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37 def fib2(n): # return Fibonacci series up to n |
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38 result = [] |
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39 a, b = 0, 1 |
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40 while b < n: |
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41 result.append(b) |
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42 a, b = b, a+b |
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43 return result |
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44 |
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45 Now enter the Python interpreter and import this module with the following |
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46 command:: |
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47 |
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48 >>> import fibo |
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49 |
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50 This does not enter the names of the functions defined in ``fibo`` directly in |
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51 the current symbol table; it only enters the module name ``fibo`` there. Using |
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52 the module name you can access the functions:: |
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53 |
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54 >>> fibo.fib(1000) |
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55 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 |
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56 >>> fibo.fib2(100) |
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57 [1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89] |
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58 >>> fibo.__name__ |
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59 'fibo' |
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60 |
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61 If you intend to use a function often you can assign it to a local name:: |
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62 |
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63 >>> fib = fibo.fib |
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64 >>> fib(500) |
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65 1 1 2 3 5 8 13 21 34 55 89 144 233 377 |
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66 |
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67 |
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68 .. _tut-moremodules: |
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69 |
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70 More on Modules |
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71 =============== |
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72 |
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73 A module can contain executable statements as well as function definitions. |
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74 These statements are intended to initialize the module. They are executed only |
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75 the *first* time the module is imported somewhere. [#]_ |
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76 |
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77 Each module has its own private symbol table, which is used as the global symbol |
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78 table by all functions defined in the module. Thus, the author of a module can |
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79 use global variables in the module without worrying about accidental clashes |
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80 with a user's global variables. On the other hand, if you know what you are |
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81 doing you can touch a module's global variables with the same notation used to |
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82 refer to its functions, ``modname.itemname``. |
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83 |
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84 Modules can import other modules. It is customary but not required to place all |
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85 :keyword:`import` statements at the beginning of a module (or script, for that |
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86 matter). The imported module names are placed in the importing module's global |
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87 symbol table. |
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88 |
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89 There is a variant of the :keyword:`import` statement that imports names from a |
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90 module directly into the importing module's symbol table. For example:: |
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91 |
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92 >>> from fibo import fib, fib2 |
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93 >>> fib(500) |
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94 1 1 2 3 5 8 13 21 34 55 89 144 233 377 |
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95 |
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96 This does not introduce the module name from which the imports are taken in the |
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97 local symbol table (so in the example, ``fibo`` is not defined). |
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98 |
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99 There is even a variant to import all names that a module defines:: |
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100 |
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101 >>> from fibo import * |
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102 >>> fib(500) |
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103 1 1 2 3 5 8 13 21 34 55 89 144 233 377 |
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104 |
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105 This imports all names except those beginning with an underscore (``_``). |
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106 In most cases Python programmers do not use this facility since it introduces |
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107 an unknown set of names into the interpreter, possibly hiding some things |
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108 you have already defined. |
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109 |
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110 Note that in general the practice of importing ``*`` from a module or package is |
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111 frowned upon, since it often causes poorly readable code. However, it is okay to |
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112 use it to save typing in interactive sessions. |
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113 |
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114 .. note:: |
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116 For efficiency reasons, each module is only imported once per interpreter |
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117 session. Therefore, if you change your modules, you must restart the |
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118 interpreter -- or, if it's just one module you want to test interactively, |
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119 use :func:`imp.reload`, e.g. ``import imp; imp.reload(modulename)``. |
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120 |
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121 |
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122 .. _tut-modulesasscripts: |
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123 |
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124 Executing modules as scripts |
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125 ---------------------------- |
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126 |
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127 When you run a Python module with :: |
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128 |
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129 python fibo.py <arguments> |
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130 |
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131 the code in the module will be executed, just as if you imported it, but with |
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132 the ``__name__`` set to ``"__main__"``. That means that by adding this code at |
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133 the end of your module:: |
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134 |
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135 if __name__ == "__main__": |
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136 import sys |
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137 fib(int(sys.argv[1])) |
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138 |
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139 you can make the file usable as a script as well as an importable module, |
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140 because the code that parses the command line only runs if the module is |
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141 executed as the "main" file:: |
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142 |
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143 $ python fibo.py 50 |
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144 1 1 2 3 5 8 13 21 34 |
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145 |
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146 If the module is imported, the code is not run:: |
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147 |
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148 >>> import fibo |
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149 >>> |
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150 |
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151 This is often used either to provide a convenient user interface to a module, or |
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152 for testing purposes (running the module as a script executes a test suite). |
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153 |
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154 |
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155 .. _tut-searchpath: |
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156 |
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157 The Module Search Path |
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158 ---------------------- |
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159 |
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160 .. index:: triple: module; search; path |
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161 |
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162 When a module named :mod:`spam` is imported, the interpreter searches for a file |
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163 named :file:`spam.py` in the current directory, and then in the list of |
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164 directories specified by the environment variable :envvar:`PYTHONPATH`. This |
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165 has the same syntax as the shell variable :envvar:`PATH`, that is, a list of |
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166 directory names. When :envvar:`PYTHONPATH` is not set, or when the file is not |
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167 found there, the search continues in an installation-dependent default path; on |
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168 Unix, this is usually :file:`.:/usr/local/lib/python`. |
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169 |
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170 Actually, modules are searched in the list of directories given by the variable |
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171 ``sys.path`` which is initialized from the directory containing the input script |
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172 (or the current directory), :envvar:`PYTHONPATH` and the installation- dependent |
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173 default. This allows Python programs that know what they're doing to modify or |
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174 replace the module search path. Note that because the directory containing the |
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175 script being run is on the search path, it is important that the script not have |
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176 the same name as a standard module, or Python will attempt to load the script as |
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177 a module when that module is imported. This will generally be an error. See |
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178 section :ref:`tut-standardmodules` for more information. |
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179 |
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180 .. % |
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181 Do we need stuff on zip files etc. ? DUBOIS |
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182 |
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183 "Compiled" Python files |
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184 ----------------------- |
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185 |
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186 As an important speed-up of the start-up time for short programs that use a lot |
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187 of standard modules, if a file called :file:`spam.pyc` exists in the directory |
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188 where :file:`spam.py` is found, this is assumed to contain an |
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189 already-"byte-compiled" version of the module :mod:`spam`. The modification time |
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190 of the version of :file:`spam.py` used to create :file:`spam.pyc` is recorded in |
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191 :file:`spam.pyc`, and the :file:`.pyc` file is ignored if these don't match. |
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192 |
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193 Normally, you don't need to do anything to create the :file:`spam.pyc` file. |
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194 Whenever :file:`spam.py` is successfully compiled, an attempt is made to write |
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195 the compiled version to :file:`spam.pyc`. It is not an error if this attempt |
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196 fails; if for any reason the file is not written completely, the resulting |
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197 :file:`spam.pyc` file will be recognized as invalid and thus ignored later. The |
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198 contents of the :file:`spam.pyc` file are platform independent, so a Python |
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199 module directory can be shared by machines of different architectures. |
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200 |
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201 Some tips for experts: |
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202 |
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203 * When the Python interpreter is invoked with the :option:`-O` flag, optimized |
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204 code is generated and stored in :file:`.pyo` files. The optimizer currently |
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205 doesn't help much; it only removes :keyword:`assert` statements. When |
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206 :option:`-O` is used, *all* :term:`bytecode` is optimized; ``.pyc`` files are |
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207 ignored and ``.py`` files are compiled to optimized bytecode. |
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208 |
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209 * Passing two :option:`-O` flags to the Python interpreter (:option:`-OO`) will |
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210 cause the bytecode compiler to perform optimizations that could in some rare |
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211 cases result in malfunctioning programs. Currently only ``__doc__`` strings are |
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212 removed from the bytecode, resulting in more compact :file:`.pyo` files. Since |
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213 some programs may rely on having these available, you should only use this |
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214 option if you know what you're doing. |
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215 |
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216 * A program doesn't run any faster when it is read from a :file:`.pyc` or |
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217 :file:`.pyo` file than when it is read from a :file:`.py` file; the only thing |
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218 that's faster about :file:`.pyc` or :file:`.pyo` files is the speed with which |
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219 they are loaded. |
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220 |
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221 * When a script is run by giving its name on the command line, the bytecode for |
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222 the script is never written to a :file:`.pyc` or :file:`.pyo` file. Thus, the |
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223 startup time of a script may be reduced by moving most of its code to a module |
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224 and having a small bootstrap script that imports that module. It is also |
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225 possible to name a :file:`.pyc` or :file:`.pyo` file directly on the command |
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226 line. |
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227 |
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228 * It is possible to have a file called :file:`spam.pyc` (or :file:`spam.pyo` |
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229 when :option:`-O` is used) without a file :file:`spam.py` for the same module. |
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230 This can be used to distribute a library of Python code in a form that is |
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231 moderately hard to reverse engineer. |
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232 |
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233 .. index:: module: compileall |
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234 |
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235 * The module :mod:`compileall` can create :file:`.pyc` files (or :file:`.pyo` |
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236 files when :option:`-O` is used) for all modules in a directory. |
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237 |
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238 |
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239 .. _tut-standardmodules: |
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240 |
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241 Standard Modules |
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242 ================ |
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243 |
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244 .. index:: module: sys |
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245 |
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246 Python comes with a library of standard modules, described in a separate |
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247 document, the Python Library Reference ("Library Reference" hereafter). Some |
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248 modules are built into the interpreter; these provide access to operations that |
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249 are not part of the core of the language but are nevertheless built in, either |
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250 for efficiency or to provide access to operating system primitives such as |
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251 system calls. The set of such modules is a configuration option which also |
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252 depends on the underlying platform For example, the :mod:`winreg` module is only |
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253 provided on Windows systems. One particular module deserves some attention: |
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254 :mod:`sys`, which is built into every Python interpreter. The variables |
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255 ``sys.ps1`` and ``sys.ps2`` define the strings used as primary and secondary |
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256 prompts:: |
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257 |
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258 >>> import sys |
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259 >>> sys.ps1 |
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260 '>>> ' |
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261 >>> sys.ps2 |
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262 '... ' |
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263 >>> sys.ps1 = 'C> ' |
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264 C> print('Yuck!') |
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265 Yuck! |
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266 C> |
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267 |
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268 |
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269 These two variables are only defined if the interpreter is in interactive mode. |
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270 |
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271 The variable ``sys.path`` is a list of strings that determines the interpreter's |
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272 search path for modules. It is initialized to a default path taken from the |
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273 environment variable :envvar:`PYTHONPATH`, or from a built-in default if |
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274 :envvar:`PYTHONPATH` is not set. You can modify it using standard list |
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275 operations:: |
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276 |
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277 >>> import sys |
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278 >>> sys.path.append('/ufs/guido/lib/python') |
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279 |
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280 |
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281 .. _tut-dir: |
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282 |
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283 The :func:`dir` Function |
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284 ======================== |
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285 |
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286 The built-in function :func:`dir` is used to find out which names a module |
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287 defines. It returns a sorted list of strings:: |
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288 |
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289 >>> import fibo, sys |
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290 >>> dir(fibo) |
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291 ['__name__', 'fib', 'fib2'] |
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292 >>> dir(sys) |
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293 ['__displayhook__', '__doc__', '__excepthook__', '__name__', '__stderr__', |
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294 '__stdin__', '__stdout__', '_getframe', 'api_version', 'argv', |
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295 'builtin_module_names', 'byteorder', 'callstats', 'copyright', |
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296 'displayhook', 'exc_info', 'excepthook', |
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297 'exec_prefix', 'executable', 'exit', 'getdefaultencoding', 'getdlopenflags', |
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298 'getrecursionlimit', 'getrefcount', 'hexversion', 'maxint', 'maxunicode', |
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299 'meta_path', 'modules', 'path', 'path_hooks', 'path_importer_cache', |
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300 'platform', 'prefix', 'ps1', 'ps2', 'setcheckinterval', 'setdlopenflags', |
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301 'setprofile', 'setrecursionlimit', 'settrace', 'stderr', 'stdin', 'stdout', |
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302 'version', 'version_info', 'warnoptions'] |
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303 |
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304 Without arguments, :func:`dir` lists the names you have defined currently:: |
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305 |
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306 >>> a = [1, 2, 3, 4, 5] |
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307 >>> import fibo |
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308 >>> fib = fibo.fib |
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309 >>> dir() |
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310 ['__builtins__', '__doc__', '__file__', '__name__', 'a', 'fib', 'fibo', 'sys'] |
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311 |
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312 Note that it lists all types of names: variables, modules, functions, etc. |
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313 |
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314 .. index:: module: builtins |
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315 |
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316 :func:`dir` does not list the names of built-in functions and variables. If you |
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317 want a list of those, they are defined in the standard module |
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318 :mod:`builtins`:: |
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319 |
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320 >>> import builtins |
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321 >>> dir(builtins) |
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322 |
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323 ['ArithmeticError', 'AssertionError', 'AttributeError', 'BaseException', 'Buffer |
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324 Error', 'BytesWarning', 'DeprecationWarning', 'EOFError', 'Ellipsis', 'Environme |
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325 ntError', 'Exception', 'False', 'FloatingPointError', 'FutureWarning', 'Generato |
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326 rExit', 'IOError', 'ImportError', 'ImportWarning', 'IndentationError', 'IndexErr |
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327 or', 'KeyError', 'KeyboardInterrupt', 'LookupError', 'MemoryError', 'NameError', |
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328 'None', 'NotImplemented', 'NotImplementedError', 'OSError', 'OverflowError', 'P |
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329 endingDeprecationWarning', 'ReferenceError', 'RuntimeError', 'RuntimeWarning', ' |
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330 StopIteration', 'SyntaxError', 'SyntaxWarning', 'SystemError', 'SystemExit', 'Ta |
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331 bError', 'True', 'TypeError', 'UnboundLocalError', 'UnicodeDecodeError', 'Unicod |
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332 eEncodeError', 'UnicodeError', 'UnicodeTranslateError', 'UnicodeWarning', 'UserW |
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333 arning', 'ValueError', 'Warning', 'ZeroDivisionError', '__build_class__', '__deb |
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334 ug__', '__doc__', '__import__', '__name__', '__package__', 'abs', 'all', 'any', |
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335 'ascii', 'bin', 'bool', 'bytearray', 'bytes', 'chr', 'classmethod', 'compile', ' |
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336 complex', 'copyright', 'credits', 'delattr', 'dict', 'dir', 'divmod', 'enumerate |
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337 ', 'eval', 'exec', 'exit', 'filter', 'float', 'format', 'frozenset', 'getattr', |
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338 'globals', 'hasattr', 'hash', 'help', 'hex', 'id', 'input', 'int', 'isinstance', |
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339 'issubclass', 'iter', 'len', 'license', 'list', 'locals', 'map', 'max', 'memory |
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340 view', 'min', 'next', 'object', 'oct', 'open', 'ord', 'pow', 'print', 'property' |
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341 , 'quit', 'range', 'repr', 'reversed', 'round', 'set', 'setattr', 'slice', 'sort |
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342 ed', 'staticmethod', 'str', 'sum', 'super', 'tuple', 'type', 'vars', 'zip'] |
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343 |
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344 .. _tut-packages: |
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345 |
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346 Packages |
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347 ======== |
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348 |
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349 Packages are a way of structuring Python's module namespace by using "dotted |
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350 module names". For example, the module name :mod:`A.B` designates a submodule |
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351 named ``B`` in a package named ``A``. Just like the use of modules saves the |
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352 authors of different modules from having to worry about each other's global |
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353 variable names, the use of dotted module names saves the authors of multi-module |
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354 packages like NumPy or the Python Imaging Library from having to worry about |
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355 each other's module names. |
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356 |
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357 Suppose you want to design a collection of modules (a "package") for the uniform |
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358 handling of sound files and sound data. There are many different sound file |
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359 formats (usually recognized by their extension, for example: :file:`.wav`, |
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360 :file:`.aiff`, :file:`.au`), so you may need to create and maintain a growing |
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361 collection of modules for the conversion between the various file formats. |
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362 There are also many different operations you might want to perform on sound data |
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363 (such as mixing, adding echo, applying an equalizer function, creating an |
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364 artificial stereo effect), so in addition you will be writing a never-ending |
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365 stream of modules to perform these operations. Here's a possible structure for |
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366 your package (expressed in terms of a hierarchical filesystem):: |
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367 |
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368 sound/ Top-level package |
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369 __init__.py Initialize the sound package |
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370 formats/ Subpackage for file format conversions |
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371 __init__.py |
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372 wavread.py |
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373 wavwrite.py |
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374 aiffread.py |
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375 aiffwrite.py |
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376 auread.py |
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377 auwrite.py |
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378 ... |
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379 effects/ Subpackage for sound effects |
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380 __init__.py |
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381 echo.py |
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382 surround.py |
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383 reverse.py |
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384 ... |
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385 filters/ Subpackage for filters |
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386 __init__.py |
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387 equalizer.py |
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388 vocoder.py |
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389 karaoke.py |
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390 ... |
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391 |
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392 When importing the package, Python searches through the directories on |
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393 ``sys.path`` looking for the package subdirectory. |
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394 |
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395 The :file:`__init__.py` files are required to make Python treat the directories |
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396 as containing packages; this is done to prevent directories with a common name, |
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397 such as ``string``, from unintentionally hiding valid modules that occur later |
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398 on the module search path. In the simplest case, :file:`__init__.py` can just be |
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399 an empty file, but it can also execute initialization code for the package or |
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400 set the ``__all__`` variable, described later. |
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401 |
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402 Users of the package can import individual modules from the package, for |
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403 example:: |
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404 |
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405 import sound.effects.echo |
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406 |
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407 This loads the submodule :mod:`sound.effects.echo`. It must be referenced with |
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408 its full name. :: |
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409 |
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410 sound.effects.echo.echofilter(input, output, delay=0.7, atten=4) |
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411 |
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412 An alternative way of importing the submodule is:: |
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413 |
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414 from sound.effects import echo |
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415 |
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416 This also loads the submodule :mod:`echo`, and makes it available without its |
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417 package prefix, so it can be used as follows:: |
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418 |
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419 echo.echofilter(input, output, delay=0.7, atten=4) |
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420 |
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421 Yet another variation is to import the desired function or variable directly:: |
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422 |
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423 from sound.effects.echo import echofilter |
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424 |
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425 Again, this loads the submodule :mod:`echo`, but this makes its function |
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426 :func:`echofilter` directly available:: |
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427 |
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428 echofilter(input, output, delay=0.7, atten=4) |
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429 |
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430 Note that when using ``from package import item``, the item can be either a |
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431 submodule (or subpackage) of the package, or some other name defined in the |
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432 package, like a function, class or variable. The ``import`` statement first |
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433 tests whether the item is defined in the package; if not, it assumes it is a |
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434 module and attempts to load it. If it fails to find it, an :exc:`ImportError` |
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435 exception is raised. |
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436 |
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437 Contrarily, when using syntax like ``import item.subitem.subsubitem``, each item |
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438 except for the last must be a package; the last item can be a module or a |
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439 package but can't be a class or function or variable defined in the previous |
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440 item. |
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441 |
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442 |
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443 .. _tut-pkg-import-star: |
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444 |
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445 Importing \* From a Package |
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446 --------------------------- |
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447 |
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448 .. index:: single: __all__ |
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449 |
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450 Now what happens when the user writes ``from sound.effects import *``? Ideally, |
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451 one would hope that this somehow goes out to the filesystem, finds which |
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452 submodules are present in the package, and imports them all. This could take a |
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453 long time and importing sub-modules might have unwanted side-effects that should |
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454 only happen when the sub-module is explicitly imported. |
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455 |
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456 The only solution is for the package author to provide an explicit index of the |
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457 package. The :keyword:`import` statement uses the following convention: if a package's |
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458 :file:`__init__.py` code defines a list named ``__all__``, it is taken to be the |
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459 list of module names that should be imported when ``from package import *`` is |
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460 encountered. It is up to the package author to keep this list up-to-date when a |
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461 new version of the package is released. Package authors may also decide not to |
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462 support it, if they don't see a use for importing \* from their package. For |
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463 example, the file :file:`sounds/effects/__init__.py` could contain the following |
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464 code:: |
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465 |
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466 __all__ = ["echo", "surround", "reverse"] |
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467 |
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468 This would mean that ``from sound.effects import *`` would import the three |
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469 named submodules of the :mod:`sound` package. |
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470 |
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471 If ``__all__`` is not defined, the statement ``from sound.effects import *`` |
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472 does *not* import all submodules from the package :mod:`sound.effects` into the |
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473 current namespace; it only ensures that the package :mod:`sound.effects` has |
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474 been imported (possibly running any initialization code in :file:`__init__.py`) |
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475 and then imports whatever names are defined in the package. This includes any |
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476 names defined (and submodules explicitly loaded) by :file:`__init__.py`. It |
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477 also includes any submodules of the package that were explicitly loaded by |
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478 previous :keyword:`import` statements. Consider this code:: |
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479 |
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480 import sound.effects.echo |
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481 import sound.effects.surround |
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482 from sound.effects import * |
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483 |
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484 In this example, the :mod:`echo` and :mod:`surround` modules are imported in the |
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485 current namespace because they are defined in the :mod:`sound.effects` package |
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486 when the ``from...import`` statement is executed. (This also works when |
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487 ``__all__`` is defined.) |
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488 |
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489 Although certain modules are designed to export only names that follow certain |
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490 patterns when you use ``import *``, it is still considered bad practise in |
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491 production code. |
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492 |
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493 Remember, there is nothing wrong with using ``from Package import |
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494 specific_submodule``! In fact, this is the recommended notation unless the |
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495 importing module needs to use submodules with the same name from different |
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496 packages. |
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497 |
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498 |
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499 Intra-package References |
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500 ------------------------ |
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501 |
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502 When packages are structured into subpackages (as with the :mod:`sound` package |
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503 in the example), you can use absolute imports to refer to submodules of siblings |
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504 packages. For example, if the module :mod:`sound.filters.vocoder` needs to use |
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505 the :mod:`echo` module in the :mod:`sound.effects` package, it can use ``from |
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506 sound.effects import echo``. |
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507 |
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508 You can also write relative imports, with the ``from module import name`` form |
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509 of import statement. These imports use leading dots to indicate the current and |
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510 parent packages involved in the relative import. From the :mod:`surround` |
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511 module for example, you might use:: |
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512 |
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513 from . import echo |
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514 from .. import formats |
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515 from ..filters import equalizer |
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516 |
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517 Note that relative imports are based on the name of the current module. Since |
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518 the name of the main module is always ``"__main__"``, modules intended for use |
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519 as the main module of a Python application must always use absolute imports. |
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520 |
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521 |
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522 Packages in Multiple Directories |
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523 -------------------------------- |
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524 |
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525 Packages support one more special attribute, :attr:`__path__`. This is |
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526 initialized to be a list containing the name of the directory holding the |
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527 package's :file:`__init__.py` before the code in that file is executed. This |
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528 variable can be modified; doing so affects future searches for modules and |
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529 subpackages contained in the package. |
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530 |
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531 While this feature is not often needed, it can be used to extend the set of |
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532 modules found in a package. |
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533 |
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534 |
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535 .. rubric:: Footnotes |
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536 |
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537 .. [#] In fact function definitions are also 'statements' that are 'executed'; the |
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538 execution of a module-level function enters the function name in the module's |
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539 global symbol table. |
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540 |
