Packages
Packages are a way of structuring Python’s module namespace by using “dotted module names”. For example, the module name A.B
designates a submodule namedB
in a package named A
. Just like the use of modules saves the authors of different modules from having to worry about each other’s global variable names, the use of dotted module names saves the authors of multi-module packages like NumPy or the Python Imaging Library from having to worry about each other’s module names.
Suppose you want to design a collection of modules (a “package”) for the uniform handling of sound files and sound data. There are many different sound file formats (usually recognized by their extension, for example: .wav
, .aiff
, .au
), so you may need to create and maintain a growing collection of modules for the conversion between the various file formats. There are also many different operations you might want to perform on sound data (such as mixing, adding echo, applying an equalizer function, creating an artificial stereo effect), so in addition you will be writing a never-ending stream of modules to perform these operations. Here’s a possible structure for your package (expressed in terms of a hierarchical filesystem):
sound/ Top-level package
__init__.py Initialize the sound package
formats/ Subpackage for file format conversions
__init__.py
wavread.py
wavwrite.py
aiffread.py
aiffwrite.py
auread.py
auwrite.py
...
effects/ Subpackage for sound effects
__init__.py
echo.py
surround.py
reverse.py
...
filters/ Subpackage for filters
__init__.py
equalizer.py
vocoder.py
karaoke.py
...
When importing the package, Python searches through the directories on sys.path
looking for the package subdirectory.
The __init__.py
files are required to make Python treat the directories as containing packages; this is done to prevent directories with a common name, such asstring
, from unintentionally hiding valid modules that occur later on the module search path. In the simplest case, __init__.py
can just be an empty file, but it can also execute initialization code for the package or set the __all__
variable, described later.
Users of the package can import individual modules from the package, for example:
import sound.effects.echo
This loads the submodule sound.effects.echo
. It must be referenced with its full name.
sound.effects.echo.echofilter(input, output, delay=0.7, atten=4)
An alternative way of importing the submodule is:
from sound.effects import echo
This also loads the submodule echo
, and makes it available without its package prefix, so it can be used as follows:
echo.echofilter(input, output, delay=0.7, atten=4)
Yet another variation is to import the desired function or variable directly:
from sound.effects.echo import echofilter
Again, this loads the submodule echo
, but this makes its function echofilter()
directly available:
echofilter(input, output, delay=0.7, atten=4)
Note that when using from package import item
, the item can be either a submodule (or subpackage) of the package, or some other name defined in the package, like a function, class or variable. The import
statement first tests whether the item is defined in the package; if not, it assumes it is a module and attempts to load it. If it fails to find it, an ImportError
exception is raised.
Contrarily, when using syntax like import item.subitem.subsubitem
, each item except for the last must be a package; the last item can be a module or a package but can’t be a class or function or variable defined in the previous item.
Now what happens when the user writes from sound.effects import *
? Ideally, one would hope that this somehow goes out to the filesystem, finds which submodules are present in the package, and imports them all. This could take a long time and importing sub-modules might have unwanted side-effects that should only happen when the sub-module is explicitly imported.
The only solution is for the package author to provide an explicit index of the package. The import
statement uses the following convention: if a package’s__init__.py
code defines a list named __all__
, it is taken to be the list of module names that should be imported when from package import *
is encountered. It is up to the package author to keep this list up-to-date when a new version of the package is released. Package authors may also decide not to support it, if they don’t see a use for importing * from their package. For example, the file sound/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 sound
package.
If __all__
is not defined, the statement from sound.effects import *
does not import all submodules from the package sound.effects
into the current namespace; it only ensures that the package sound.effects
has been imported (possibly running any initialization code in __init__.py
) and then imports whatever names are defined in the package. This includes any names defined (and submodules explicitly loaded) by __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 sound.effects
package when thefrom...import
statement is executed. (This also works when __all__
is defined.)
Although certain modules are designed to export only names that follow certain patterns when you use import *
, it is still considered bad practise in production code.
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.
他这里的__all__指的是在dir()的时候的区别
Packages support one more special attribute, __path__
. This is initialized to be a list containing the name of the directory holding the package’s __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.
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