mirror of https://github.com/python/cpython
551 lines
23 KiB
ReStructuredText
551 lines
23 KiB
ReStructuredText
.. _tut-modules:
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*******
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Modules
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*******
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If you quit from the Python interpreter and enter it again, the definitions you
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have made (functions and variables) are lost. Therefore, if you want to write a
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somewhat longer program, you are better off using a text editor to prepare the
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input for the interpreter and running it with that file as input instead. This
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is known as creating a *script*. As your program gets longer, you may want to
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split it into several files for easier maintenance. You may also want to use a
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handy function that you've written in several programs without copying its
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definition into each program.
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To support this, Python has a way to put definitions in a file and use them in a
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script or in an interactive instance of the interpreter. Such a file is called a
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*module*; definitions from a module can be *imported* into other modules or into
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the *main* module (the collection of variables that you have access to in a
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script executed at the top level and in calculator mode).
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A module is a file containing Python definitions and statements. The file name
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is the module name with the suffix :file:`.py` appended. Within a module, the
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module's name (as a string) is available as the value of the global variable
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``__name__``. For instance, use your favorite text editor to create a file
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called :file:`fibo.py` in the current directory with the following contents::
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# Fibonacci numbers module
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def fib(n): # write Fibonacci series up to n
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a, b = 0, 1
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while b < n:
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print b,
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a, b = b, a+b
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def fib2(n): # return Fibonacci series up to n
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result = []
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a, b = 0, 1
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while b < n:
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result.append(b)
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a, b = b, a+b
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return result
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Now enter the Python interpreter and import this module with the following
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command::
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>>> import fibo
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This does not enter the names of the functions defined in ``fibo`` directly in
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the current symbol table; it only enters the module name ``fibo`` there. Using
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the module name you can access the functions::
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>>> fibo.fib(1000)
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1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987
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>>> fibo.fib2(100)
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[1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]
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>>> fibo.__name__
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'fibo'
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If you intend to use a function often you can assign it to a local name::
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>>> fib = fibo.fib
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>>> fib(500)
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1 1 2 3 5 8 13 21 34 55 89 144 233 377
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.. _tut-moremodules:
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More on Modules
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===============
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A module can contain executable statements as well as function definitions.
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These statements are intended to initialize the module. They are executed only
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the *first* time the module is imported somewhere. [#]_
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Each module has its own private symbol table, which is used as the global symbol
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table by all functions defined in the module. Thus, the author of a module can
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use global variables in the module without worrying about accidental clashes
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with a user's global variables. On the other hand, if you know what you are
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doing you can touch a module's global variables with the same notation used to
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refer to its functions, ``modname.itemname``.
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Modules can import other modules. It is customary but not required to place all
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:keyword:`import` statements at the beginning of a module (or script, for that
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matter). The imported module names are placed in the importing module's global
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symbol table.
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There is a variant of the :keyword:`import` statement that imports names from a
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module directly into the importing module's symbol table. For example::
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>>> from fibo import fib, fib2
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>>> fib(500)
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1 1 2 3 5 8 13 21 34 55 89 144 233 377
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This does not introduce the module name from which the imports are taken in the
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local symbol table (so in the example, ``fibo`` is not defined).
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There is even a variant to import all names that a module defines::
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>>> from fibo import *
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>>> fib(500)
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1 1 2 3 5 8 13 21 34 55 89 144 233 377
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This imports all names except those beginning with an underscore (``_``).
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.. note::
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For efficiency reasons, each module is only imported once per interpreter
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session. Therefore, if you change your modules, you must restart the
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interpreter -- or, if it's just one module you want to test interactively,
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use :func:`reload`, e.g. ``reload('modulename')``.
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.. _tut-modulesasscripts:
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Executing modules as scripts
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----------------------------
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When you run a Python module with ::
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python fibo.py <arguments>
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the code in the module will be executed, just as if you imported it, but with
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the ``__name__`` set to ``"__main__"``. That means that by adding this code at
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the end of your module::
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if __name__ == "__main__":
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import sys
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fib(int(sys.argv[1]))
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you can make the file usable as a script as well as an importable module,
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because the code that parses the command line only runs if the module is
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executed as the "main" file::
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$ python fibo.py 50
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1 1 2 3 5 8 13 21 34
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If the module is imported, the code is not run::
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>>> import fibo
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>>>
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This is often used either to provide a convenient user interface to a module, or
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for testing purposes (running the module as a script executes a test suite).
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.. _tut-searchpath:
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The Module Search Path
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----------------------
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.. index:: triple: module; search; path
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When a module named :mod:`spam` is imported, the interpreter searches for a file
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named :file:`spam.py` in the current directory, and then in the list of
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directories specified by the environment variable :envvar:`PYTHONPATH`. This
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has the same syntax as the shell variable :envvar:`PATH`, that is, a list of
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directory names. When :envvar:`PYTHONPATH` is not set, or when the file is not
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found there, the search continues in an installation-dependent default path; on
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Unix, this is usually :file:`.:/usr/local/lib/python`.
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Actually, modules are searched in the list of directories given by the variable
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``sys.path`` which is initialized from the directory containing the input script
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(or the current directory), :envvar:`PYTHONPATH` and the installation- dependent
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default. This allows Python programs that know what they're doing to modify or
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replace the module search path. Note that because the directory containing the
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script being run is on the search path, it is important that the script not have
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the same name as a standard module, or Python will attempt to load the script as
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a module when that module is imported. This will generally be an error. See
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section :ref:`tut-standardmodules` for more information.
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"Compiled" Python files
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-----------------------
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As an important speed-up of the start-up time for short programs that use a lot
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of standard modules, if a file called :file:`spam.pyc` exists in the directory
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where :file:`spam.py` is found, this is assumed to contain an
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already-"byte-compiled" version of the module :mod:`spam`. The modification time
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of the version of :file:`spam.py` used to create :file:`spam.pyc` is recorded in
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:file:`spam.pyc`, and the :file:`.pyc` file is ignored if these don't match.
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Normally, you don't need to do anything to create the :file:`spam.pyc` file.
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Whenever :file:`spam.py` is successfully compiled, an attempt is made to write
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the compiled version to :file:`spam.pyc`. It is not an error if this attempt
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fails; if for any reason the file is not written completely, the resulting
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:file:`spam.pyc` file will be recognized as invalid and thus ignored later. The
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contents of the :file:`spam.pyc` file are platform independent, so a Python
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module directory can be shared by machines of different architectures.
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Some tips for experts:
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* When the Python interpreter is invoked with the :option:`-O` flag, optimized
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code is generated and stored in :file:`.pyo` files. The optimizer currently
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doesn't help much; it only removes :keyword:`assert` statements. When
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:option:`-O` is used, *all* :term:`bytecode` is optimized; ``.pyc`` files are
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ignored and ``.py`` files are compiled to optimized bytecode.
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* Passing two :option:`-O` flags to the Python interpreter (:option:`-OO`) will
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cause the bytecode compiler to perform optimizations that could in some rare
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cases result in malfunctioning programs. Currently only ``__doc__`` strings are
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removed from the bytecode, resulting in more compact :file:`.pyo` files. Since
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some programs may rely on having these available, you should only use this
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option if you know what you're doing.
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* A program doesn't run any faster when it is read from a :file:`.pyc` or
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:file:`.pyo` file than when it is read from a :file:`.py` file; the only thing
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that's faster about :file:`.pyc` or :file:`.pyo` files is the speed with which
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they are loaded.
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* When a script is run by giving its name on the command line, the bytecode for
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the script is never written to a :file:`.pyc` or :file:`.pyo` file. Thus, the
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startup time of a script may be reduced by moving most of its code to a module
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and having a small bootstrap script that imports that module. It is also
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possible to name a :file:`.pyc` or :file:`.pyo` file directly on the command
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line.
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* It is possible to have a file called :file:`spam.pyc` (or :file:`spam.pyo`
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when :option:`-O` is used) without a file :file:`spam.py` for the same module.
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This can be used to distribute a library of Python code in a form that is
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moderately hard to reverse engineer.
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.. index:: module: compileall
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* The module :mod:`compileall` can create :file:`.pyc` files (or :file:`.pyo`
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files when :option:`-O` is used) for all modules in a directory.
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.. _tut-standardmodules:
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Standard Modules
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================
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.. index:: module: sys
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Python comes with a library of standard modules, described in a separate
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document, the Python Library Reference ("Library Reference" hereafter). Some
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modules are built into the interpreter; these provide access to operations that
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are not part of the core of the language but are nevertheless built in, either
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for efficiency or to provide access to operating system primitives such as
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system calls. The set of such modules is a configuration option which also
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depends on the underlying platform For example, the :mod:`winreg` module is only
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provided on Windows systems. One particular module deserves some attention:
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:mod:`sys`, which is built into every Python interpreter. The variables
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``sys.ps1`` and ``sys.ps2`` define the strings used as primary and secondary
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prompts::
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>>> import sys
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>>> sys.ps1
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'>>> '
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>>> sys.ps2
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'... '
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>>> sys.ps1 = 'C> '
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C> print 'Yuck!'
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Yuck!
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C>
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These two variables are only defined if the interpreter is in interactive mode.
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The variable ``sys.path`` is a list of strings that determines the interpreter's
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search path for modules. It is initialized to a default path taken from the
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environment variable :envvar:`PYTHONPATH`, or from a built-in default if
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:envvar:`PYTHONPATH` is not set. You can modify it using standard list
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operations::
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>>> import sys
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>>> sys.path.append('/ufs/guido/lib/python')
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.. _tut-dir:
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The :func:`dir` Function
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========================
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The built-in function :func:`dir` is used to find out which names a module
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defines. It returns a sorted list of strings::
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>>> import fibo, sys
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>>> dir(fibo)
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['__name__', 'fib', 'fib2']
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>>> dir(sys)
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['__displayhook__', '__doc__', '__excepthook__', '__name__', '__stderr__',
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'__stdin__', '__stdout__', '_getframe', 'api_version', 'argv',
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'builtin_module_names', 'byteorder', 'callstats', 'copyright',
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'displayhook', 'exc_clear', 'exc_info', 'exc_type', 'excepthook',
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'exec_prefix', 'executable', 'exit', 'getdefaultencoding', 'getdlopenflags',
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'getrecursionlimit', 'getrefcount', 'hexversion', 'maxint', 'maxunicode',
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'meta_path', 'modules', 'path', 'path_hooks', 'path_importer_cache',
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'platform', 'prefix', 'ps1', 'ps2', 'setcheckinterval', 'setdlopenflags',
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'setprofile', 'setrecursionlimit', 'settrace', 'stderr', 'stdin', 'stdout',
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'version', 'version_info', 'warnoptions']
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Without arguments, :func:`dir` lists the names you have defined currently::
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>>> a = [1, 2, 3, 4, 5]
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>>> import fibo
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>>> fib = fibo.fib
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>>> dir()
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['__builtins__', '__doc__', '__file__', '__name__', 'a', 'fib', 'fibo', 'sys']
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Note that it lists all types of names: variables, modules, functions, etc.
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.. index:: module: __builtin__
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:func:`dir` does not list the names of built-in functions and variables. If you
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want a list of those, they are defined in the standard module
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:mod:`__builtin__`::
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>>> import __builtin__
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>>> dir(__builtin__)
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['ArithmeticError', 'AssertionError', 'AttributeError', 'DeprecationWarning',
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'EOFError', 'Ellipsis', 'EnvironmentError', 'Exception', 'False',
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'FloatingPointError', 'FutureWarning', 'IOError', 'ImportError',
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'IndentationError', 'IndexError', 'KeyError', 'KeyboardInterrupt',
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'LookupError', 'MemoryError', 'NameError', 'None', 'NotImplemented',
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'NotImplementedError', 'OSError', 'OverflowError',
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'PendingDeprecationWarning', 'ReferenceError', 'RuntimeError',
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'RuntimeWarning', 'StandardError', 'StopIteration', 'SyntaxError',
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'SyntaxWarning', 'SystemError', 'SystemExit', 'TabError', 'True',
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'TypeError', 'UnboundLocalError', 'UnicodeDecodeError',
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'UnicodeEncodeError', 'UnicodeError', 'UnicodeTranslateError',
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'UserWarning', 'ValueError', 'Warning', 'WindowsError',
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'ZeroDivisionError', '_', '__debug__', '__doc__', '__import__',
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'__name__', 'abs', 'apply', 'basestring', 'bool', 'buffer',
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'callable', 'chr', 'classmethod', 'cmp', 'coerce', 'compile',
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'complex', 'copyright', 'credits', 'delattr', 'dict', 'dir', 'divmod',
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'enumerate', 'eval', 'execfile', 'exit', 'file', 'filter', 'float',
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'frozenset', 'getattr', 'globals', 'hasattr', 'hash', 'help', 'hex',
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'id', 'input', 'int', 'intern', 'isinstance', 'issubclass', 'iter',
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'len', 'license', 'list', 'locals', 'long', 'map', 'max', 'min',
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'object', 'oct', 'open', 'ord', 'pow', 'property', 'quit', 'range',
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'raw_input', 'reduce', 'reload', 'repr', 'reversed', 'round', 'set',
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'setattr', 'slice', 'sorted', 'staticmethod', 'str', 'sum', 'super',
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'tuple', 'type', 'unichr', 'unicode', 'vars', 'xrange', 'zip']
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.. _tut-packages:
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Packages
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========
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Packages are a way of structuring Python's module namespace by using "dotted
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module names". For example, the module name :mod:`A.B` designates a submodule
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named ``B`` in a package named ``A``. Just like the use of modules saves the
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authors of different modules from having to worry about each other's global
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variable names, the use of dotted module names saves the authors of multi-module
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packages like NumPy or the Python Imaging Library from having to worry about
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each other's module names.
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Suppose you want to design a collection of modules (a "package") for the uniform
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handling of sound files and sound data. There are many different sound file
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formats (usually recognized by their extension, for example: :file:`.wav`,
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:file:`.aiff`, :file:`.au`), so you may need to create and maintain a growing
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collection of modules for the conversion between the various file formats.
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There are also many different operations you might want to perform on sound data
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(such as mixing, adding echo, applying an equalizer function, creating an
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artificial stereo effect), so in addition you will be writing a never-ending
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stream of modules to perform these operations. Here's a possible structure for
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your package (expressed in terms of a hierarchical filesystem)::
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sound/ Top-level package
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__init__.py Initialize the sound package
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formats/ Subpackage for file format conversions
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__init__.py
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wavread.py
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wavwrite.py
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aiffread.py
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aiffwrite.py
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auread.py
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auwrite.py
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...
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effects/ Subpackage for sound effects
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__init__.py
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echo.py
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surround.py
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reverse.py
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...
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filters/ Subpackage for filters
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__init__.py
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equalizer.py
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vocoder.py
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karaoke.py
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...
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When importing the package, Python searches through the directories on
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``sys.path`` looking for the package subdirectory.
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The :file:`__init__.py` files are required to make Python treat the directories
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as containing packages; this is done to prevent directories with a common name,
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such as ``string``, from unintentionally hiding valid modules that occur later
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on the module search path. In the simplest case, :file:`__init__.py` can just be
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an empty file, but it can also execute initialization code for the package or
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set the ``__all__`` variable, described later.
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Users of the package can import individual modules from the package, for
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example::
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import sound.effects.echo
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This loads the submodule :mod:`sound.effects.echo`. It must be referenced with
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its full name. ::
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sound.effects.echo.echofilter(input, output, delay=0.7, atten=4)
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An alternative way of importing the submodule is::
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from sound.effects import echo
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This also loads the submodule :mod:`echo`, and makes it available without its
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package prefix, so it can be used as follows::
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echo.echofilter(input, output, delay=0.7, atten=4)
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Yet another variation is to import the desired function or variable directly::
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from sound.effects.echo import echofilter
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Again, this loads the submodule :mod:`echo`, but this makes its function
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:func:`echofilter` directly available::
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echofilter(input, output, delay=0.7, atten=4)
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Note that when using ``from package import item``, the item can be either a
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submodule (or subpackage) of the package, or some other name defined in the
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package, like a function, class or variable. The ``import`` statement first
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tests whether the item is defined in the package; if not, it assumes it is a
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module and attempts to load it. If it fails to find it, an :exc:`ImportError`
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exception is raised.
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Contrarily, when using syntax like ``import item.subitem.subsubitem``, each item
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except for the last must be a package; the last item can be a module or a
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package but can't be a class or function or variable defined in the previous
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item.
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.. _tut-pkg-import-star:
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Importing \* From a Package
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---------------------------
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.. index:: single: __all__
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Now what happens when the user writes ``from sound.effects import *``? Ideally,
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one would hope that this somehow goes out to the filesystem, finds which
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submodules are present in the package, and imports them all. Unfortunately,
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this operation does not work very well on Windows platforms, where the
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filesystem does not always have accurate information about the case of a
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filename! On these platforms, there is no guaranteed way to know whether a file
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:file:`ECHO.PY` should be imported as a module :mod:`echo`, :mod:`Echo` or
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:mod:`ECHO`. (For example, Windows 95 has the annoying practice of showing all
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file names with a capitalized first letter.) The DOS 8+3 filename restriction
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adds another interesting problem for long module names.
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The only solution is for the package author to provide an explicit index of the
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package. The import statement uses the following convention: if a package's
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:file:`__init__.py` code defines a list named ``__all__``, it is taken to be the
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list of module names that should be imported when ``from package import *`` is
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encountered. It is up to the package author to keep this list up-to-date when a
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new version of the package is released. Package authors may also decide not to
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support it, if they don't see a use for importing \* from their package. For
|
|
example, the file :file:`sounds/effects/__init__.py` could contain the following
|
|
code::
|
|
|
|
__all__ = ["echo", "surround", "reverse"]
|
|
|
|
This would mean that ``from sound.effects import *`` would import the three
|
|
named submodules of the :mod:`sound` package.
|
|
|
|
If ``__all__`` is not defined, the statement ``from sound.effects import *``
|
|
does *not* import all submodules from the package :mod:`sound.effects` into the
|
|
current namespace; it only ensures that the package :mod:`sound.effects` has
|
|
been imported (possibly running any initialization code in :file:`__init__.py`)
|
|
and then imports whatever names are defined in the package. This includes any
|
|
names defined (and submodules explicitly loaded) by :file:`__init__.py`. It
|
|
also includes any submodules of the package that were explicitly loaded by
|
|
previous import statements. Consider this code::
|
|
|
|
import sound.effects.echo
|
|
import sound.effects.surround
|
|
from sound.effects import *
|
|
|
|
In this example, the echo and surround modules are imported in the current
|
|
namespace because they are defined in the :mod:`sound.effects` package when the
|
|
``from...import`` statement is executed. (This also works when ``__all__`` is
|
|
defined.)
|
|
|
|
Note that in general the practice of importing ``*`` from a module or package is
|
|
frowned upon, since it often causes poorly readable code. However, it is okay to
|
|
use it to save typing in interactive sessions, and certain modules are designed
|
|
to export only names that follow certain patterns.
|
|
|
|
Remember, there is nothing wrong with using ``from Package import
|
|
specific_submodule``! In fact, this is the recommended notation unless the
|
|
importing module needs to use submodules with the same name from different
|
|
packages.
|
|
|
|
|
|
Intra-package References
|
|
------------------------
|
|
|
|
The submodules often need to refer to each other. For example, the
|
|
:mod:`surround` module might use the :mod:`echo` module. In fact, such
|
|
references are so common that the :keyword:`import` statement first looks in the
|
|
containing package before looking in the standard module search path. Thus, the
|
|
:mod:`surround` module can simply use ``import echo`` or ``from echo import
|
|
echofilter``. If the imported module is not found in the current package (the
|
|
package of which the current module is a submodule), the :keyword:`import`
|
|
statement looks for a top-level module with the given name.
|
|
|
|
When packages are structured into subpackages (as with the :mod:`sound` package
|
|
in the example), you can use absolute imports to refer to submodules of siblings
|
|
packages. For example, if the module :mod:`sound.filters.vocoder` needs to use
|
|
the :mod:`echo` module in the :mod:`sound.effects` package, it can use ``from
|
|
sound.effects import echo``.
|
|
|
|
Starting with Python 2.5, in addition to the implicit relative imports described
|
|
above, you can write explicit relative imports with the ``from module import
|
|
name`` form of import statement. These explicit relative imports use leading
|
|
dots to indicate the current and parent packages involved in the relative
|
|
import. From the :mod:`surround` module for example, you might use::
|
|
|
|
from . import echo
|
|
from .. import formats
|
|
from ..filters import equalizer
|
|
|
|
Note that both explicit and implicit relative imports are based on the name of
|
|
the current module. Since the name of the main module is always ``"__main__"``,
|
|
modules intended for use as the main module of a Python application should
|
|
always use absolute imports.
|
|
|
|
|
|
Packages in Multiple Directories
|
|
--------------------------------
|
|
|
|
Packages support one more special attribute, :attr:`__path__`. This is
|
|
initialized to be a list containing the name of the directory holding the
|
|
package's :file:`__init__.py` before the code in that file is executed. This
|
|
variable can be modified; doing so affects future searches for modules and
|
|
subpackages contained in the package.
|
|
|
|
While this feature is not often needed, it can be used to extend the set of
|
|
modules found in a package.
|
|
|
|
|
|
.. rubric:: Footnotes
|
|
|
|
.. [#] In fact function definitions are also 'statements' that are 'executed'; the
|
|
execution enters the function name in the module's global symbol table.
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|
|