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# 5. The import system

Python code in one module gains access to the code in another module by the process of importing it. The `import` statement is the most common way of invoking the import machinery, but it is not the only way. Functions such as `importlib.import_module()` and built-in `__import__()` can also be used to invoke the import machinery.

The `import` statement combines two operations; it searches for the named module, then it binds the results of that search to a name in the local scope. The search operation of the `import` statement is defined as a call to the `__import__()` function, with the appropriate arguments. The return value of `__import__()` is used to perform the name binding operation of the `import` statement. See the `import` statement for the exact details of that name binding operation.

A direct call to `__import__()` performs only the module search and, if found, the module creation operation. While certain side-effects may occur, such as the importing of parent packages, and the updating of various caches (including `sys.modules`), only the `import` statement performs a name binding operation.

When calling `__import__()` as part of an import statement, the import system first checks the module global namespace for a function by that name. If it is not found, then the standard builtin `__import__()` is called. Other mechanisms for invoking the import system (such as `importlib.import_module()`) do not perform this check and will always use the standard import system.

When a module is first imported, Python searches for the module and if found, it creates a module object [1], initializing it. If the named module cannot be found, an `ImportError` is raised. Python implements various strategies to search for the named module when the import machinery is invoked. These strategies can be modified and extended by using various hooks described in the sections below.

Changed in version 3.3: The import system has been updated to fully implement the second phase of PEP 302. There is no longer any implicit import machinery - the full import system is exposed through `sys.meta_path`. In addition, native namespace package support has been implemented (see PEP 420).

## 5.1. `importlib`

The `importlib` module provides a rich API for interacting with the import system. For example `importlib.import_module()` provides a recommended, simpler API than built-in `__import__()` for invoking the import machinery. Refer to the `importlib` library documentation for additional detail.

## 5.2. Packages

Python has only one type of module object, and all modules are of this type, regardless of whether the module is implemented in Python, C, or something else. To help organize modules and provide a naming hierarchy, Python has a concept of packages.

You can think of packages as the directories on a file system and modules as files within directories, but don’t take this analogy too literally since packages and modules need not originate from the file system. For the purposes of this documentation, we’ll use this convenient analogy of directories and files. Like file system directories, packages are organized hierarchically, and packages may themselves contain subpackages, as well as regular modules.

It’s important to keep in mind that all packages are modules, but not all modules are packages. Or put another way, packages are just a special kind of module. Specifically, any module that contains a `__path__` attribute is considered a package.

All modules have a name. Subpackage names are separated from their parent package name by dots, akin to Python’s standard attribute access syntax. Thus you might have a module called `sys` and a package called `email`, which in turn has a subpackage called `email.mime` and a module within that subpackage called `email.mime.text`.

### 5.2.1. Regular packages

Python defines two types of packages, regular packages and namespace packages. Regular packages are traditional packages as they existed in Python 3.2 and earlier. A regular package is typically implemented as a directory containing an `__init__.py` file. When a regular package is imported, this `__init__.py` file is implicitly executed, and the objects it defines are bound to names in the package’s namespace. The `__init__.py` file can contain the same Python code that any other module can contain, and Python will add some additional attributes to the module when it is imported.

For example, the following file system layout defines a top level `parent` package with three subpackages:

    parent/
        __init__.py
        one/
            __init__.py
        two/
            __init__.py
        three/
            __init__.py

Importing `parent.one` will implicitly execute `parent/__init__.py` and `parent/one/__init__.py`. Subsequent imports of `parent.two` or `parent.three` will execute `parent/two/__init__.py` and `parent/three/__init__.py` respectively.

### 5.2.2. Namespace packages

A namespace package is a composite of various portions, where each portion contributes a subpackage to the parent package. Portions may reside in different locations on the file system. Portions may also be found in zip files, on the network, or anywhere else that Python searches during import. Namespace packages may or may not correspond directly to objects on the file system; they may be virtual modules that have no concrete representation.

Namespace packages do not use an ordinary list for their `__path__` attribute. They instead use a custom iterable type which will automatically perform a new search for package portions on the next import attempt within that package if the path of their parent package (or `sys.path` for a top level package) changes.

With namespace packages, there is no `parent/__init__.py` file. In fact, there may be multiple `parent` directories found during import search, where each one is provided by a different portion. Thus `parent/one` may not be physically located next to `parent/two`. In this case, Python will create a namespace package for the top-level `parent` package whenever it or one of its subpackages is imported.

See also PEP 420 for the namespace package specification.

## 5.3. Searching

To begin the search, Python needs the fully qualified name of the module (or package, but for the purposes of this discussion, the difference is immaterial) being imported. This name may come from various arguments to the `import` statement, or from the parameters to the `importlib.import_module()` or `__import__()` functions.

This name will be used in various phases of the import search, and it may be the dotted path to a submodule, e.g. `foo.bar.baz`. In this case, Python first tries to import `foo`, then `foo.bar`, and finally `foo.bar.baz`. If any of the intermediate imports fail, an `ImportError` is raised.

### 5.3.1. The module cache

The first place checked during import search is `sys.modules`. This mapping serves as a cache of all modules that have been previously imported, including the intermediate paths. So if `foo.bar.baz` was previously imported, `sys.modules` will contain entries for `foo`, `foo.bar`, and `foo.bar.baz`. Each key will have as its value the corresponding module object.

During import, the module name is looked up in `sys.modules` and if present, the associated value is the module satisfying the import, and the process completes. However, if the value is `None`, then an `ImportError` is raised. If the module name is missing, Python will continue searching for the module.

`sys.modules` is writable. Deleting a key may not destroy the associated module (as other modules may hold references to it), but it will invalidate the cache entry for the named module, causing Python to search anew for the named module upon its next import. The key can also be assigned to `None`, forcing the next import of the module to result in an `ImportError`.

Beware though, as if you keep a reference to the module object, invalidate its cache entry in `sys.modules`, and then re-import the named module, the two module objects will not be the same. By contrast, `imp.reload()` will reuse the same module object, and simply reinitialise the module contents by rerunning the module’s code.

### 5.3.2. Finders and loaders

If the named module is not found in `sys.modules`, then Python’s import protocol is invoked to find and load the module. This protocol consists of two conceptual objects, finders and loaders. A finder’s job is to determine whether it can find the named module using whatever strategy it knows about. Objects that implement both of these interfaces are referred to as importers - they return themselves when they find that they can load the requested module.

Python includes a number of default finders and importers. The first one knows how to locate built-in modules, and the second knows how to locate frozen modules. A third default finder searches an import path for modules. The import path is a list of locations that may name file system paths or zip files. It can also be extended to search for any locatable resource, such as those identified by URLs.

The import machinery is extensible, so new finders can be added to extend the range and scope of module searching.

Finders do not actually load modules. If they can find the named module, they return a loader, which the import machinery then invokes to load the module and create the corresponding module object.

The following sections describe the protocol for finders and loaders in more detail, including how you can create and register new ones to extend the import machinery.

### 5.3.3. Import hooks

The import machinery is designed to be extensible; the primary mechanism for this are the import hooks. There are two types of import hooks: meta hooks and import path hooks.

Meta hooks are called at the start of import processing, before any other import processing has occurred, other than `sys.modules` cache look up. This allows meta hooks to override `sys.path` processing, frozen modules, or even built-in modules. Meta hooks are registered by adding new finder objects to `sys.meta_path`, as described below.

Import path hooks are called as part of `sys.path` (or `package.__path__`) processing, at the point where their associated path item is encountered. Import path hooks are registered by adding new callables to `sys.path_hooks` as described below.

### 5.3.4. The meta path

When the named module is not found in `sys.modules`, Python next searches `sys.meta_path`, which contains a list of meta path finder objects. These finders are queried in order to see if they know how to handle the named module. Meta path finders must implement a method called `find_module()` which takes two arguments, a name and an import path. The meta path finder can use any strategy it wants to determine whether it can handle the named module or not.

If the meta path finder knows how to handle the named module, it returns a loader object. If it cannot handle the named module, it returns `None`. If `sys.meta_path` processing reaches the end of its list without returning a loader, then an `ImportError` is raised. Any other exceptions raised are simply propagated up, aborting the import process.

The `find_module()` method of meta path finders is called with two arguments. The first is the fully qualified name of the module being imported, for example `foo.bar.baz`. The second argument is the path entries to use for the module search. For top-level modules, the second argument is `None`, but for submodules or subpackages, the second argument is the value of the parent package’s `__path__` attribute. If the appropriate `__path__` attribute cannot be accessed, an `ImportError` is raised.

The meta path may be traversed multiple times for a single import request. For example, assuming none of the modules involved has already been cached, importing `foo.bar.baz` will first perform a top level import, calling `mpf.find_module("foo", None)` on each meta path finder (`mpf`). After `foo` has been imported, `foo.bar` will be imported by traversing the meta path a second time, calling `mpf.find_module("foo.bar", foo.__path__)`. Once `foo.bar` has been imported, the final traversal will call `mpf.find_module("foo.bar.baz", foo.bar.__path__)`.

Some meta path finders only support top level imports. These importers will always return `None` when anything other than `None` is passed as the second argument.

Python’s default `sys.meta_path` has three meta path finders, one that knows how to import built-in modules, one that knows how to import frozen modules, and one that knows how to import modules from an import path (i.e. the path based finder).

## 5.4. Loaders

If and when a module loader is found its `load_module()` method is called, with a single argument, the fully qualified name of the module being imported. This method has several responsibilities, and should return the module object it has loaded [2]. If it cannot load the module, it should raise an `ImportError`, although any other exception raised during `load_module()` will be propagated.

In many cases, the finder and loader can be the same object; in such cases the `finder.find_module()` would just return `self`.

Loaders must satisfy the following requirements:

> - If there is an existing module object with the given name in `sys.modules`, the loader must use that existing module. (Otherwise, `imp.reload()` will not work correctly.) If the named module does not exist in `sys.modules`, the loader must create a new module object and add it to `sys.modules`.

>   Note that the module must exist in `sys.modules` before the loader executes the module code. This is crucial because the module code may (directly or indirectly) import itself; adding it to `sys.modules` beforehand prevents unbounded recursion in the worst case and multiple loading in the best.

>   If loading fails, the loader must remove any modules it has inserted into `sys.modules`, but it must remove only the failing module, and only if the loader itself has loaded it explicitly. Any module already in the `sys.modules` cache, and any module that was successfully loaded as a side-effect, must remain in the cache.

> - The loader may set the `__file__` attribute of the module. If set, this attribute’s value must be a string. The loader may opt to leave `__file__` unset if it has no semantic meaning (e.g. a module loaded from a database). If `__file__` is set, it may also be appropriate to set the `__cached__` attribute which is the path to any compiled version of the code (e.g. byte-compiled file). The file does not need to exist to set this attribute; the path can simply point to whether the compiled file would exist (see PEP 3147).

> - The loader may set the `__name__` attribute of the module. While not required, setting this attribute is highly recommended so that the `repr()` of the module is more informative.

> - If the module is a package (either regular or namespace), the loader must set the module object’s `__path__` attribute. The value must be iterable, but may be empty if `__path__` has no further significance to the loader. If `__path__` is not empty, it must produce strings when iterated over. More details on the semantics of `__path__` are given below.

> - The `__loader__` attribute must be set to the loader object that loaded the module. This is mostly for introspection and reloading, but can be used for additional loader-specific functionality, for example getting data associated with a loader.

> - The module’s `__package__` attribute should be set. Its value must be a string, but it can be the same value as its `__name__`. If the attribute is set to `None` or is missing, the import system will fill it in with a more appropriate value. When the module is a package, its `__package__` value should be set to its `__name__`. When the module is not a package, `__package__` should be set to the empty string for top-level modules, or for submodules, to the parent package’s name. See PEP 366 for further details.

>   This attribute is used instead of `__name__` to calculate explicit relative imports for main modules, as defined in PEP 366.

> - If the module is a Python module (as opposed to a built-in module or a dynamically loaded extension), the loader should execute the module’s code in the module’s global name space (`module.__dict__`).

### 5.4.1. Module reprs

By default, all modules have a usable repr, however depending on the attributes set above, and hooks in the loader, you can more explicitly control the repr of module objects.

Loaders may implement a `module_repr()` method which takes a single argument, the module object. When `repr(module)` is called for a module with a loader supporting this protocol, whatever is returned from `module.__loader__.module_repr(module)` is returned as the module’s repr without further processing. This return value must be a string.

If the module has no `__loader__` attribute, or the loader has no `module_repr()` method, then the module object implementation itself will craft a default repr using whatever information is available. It will try to use the `module.__name__`, `module.__file__`, and `module.__loader__` as input into the repr, with defaults for whatever information is missing.

Here are the exact rules used:

> - If the module has a `__loader__` and that loader has a `module_repr()` method, call it with a single argument, which is the module object. The value returned is used as the module’s repr.
> - If an exception occurs in `module_repr()`, the exception is caught and discarded, and the calculation of the module’s repr continues as if `module_repr()` did not exist.
> - If the module has a `__file__` attribute, this is used as part of the module’s repr.
> - If the module has no `__file__` but does have a `__loader__`, then the loader’s repr is used as part of the module’s repr.
> - Otherwise, just use the module’s `__name__` in the repr.

This example, from PEP 420 shows how a loader can craft its own module repr:

    class NamespaceLoader:
        @classmethod
        def module_repr(cls, module):
            return "<module '{}' (namespace)>".format(module.__name__)

### 5.4.2. module.__path__

By definition, if a module has an `__path__` attribute, it is a package, regardless of its value.

A package’s `__path__` attribute is used during imports of its subpackages. Within the import machinery, it functions much the same as `sys.path`, i.e. providing a list of locations to search for modules during import. However, `__path__` is typically much more constrained than `sys.path`.

`__path__` must be an iterable of strings, but it may be empty. The same rules used for `sys.path` also apply to a package’s `__path__`, and `sys.path_hooks` (described below) are consulted when traversing a package’s `__path__`.

A package’s `__init__.py` file may set or alter the package’s `__path__` attribute, and this was typically the way namespace packages were implemented prior to PEP 420. With the adoption of PEP 420, namespace packages no longer need to supply `__init__.py` files containing only `__path__` manipulation code; the namespace loader automatically sets `__path__` correctly for the namespace package.

## 5.5. The Path Based Finder

As mentioned previously, Python comes with several default meta path finders. One of these, called the path based finder, searches an import path, which contains a list of path entries. Each path entry names a location to search for modules.

The path based finder itself doesn’t know how to import anything. Instead, it traverses the individual path entries, associating each of them with a path entry finder that knows how to handle that particular kind of path.

The default set of path entry finders implement all the semantics for finding modules on the file system, handling special file types such as Python source code (`.py` files), Python byte code (`.pyc` and `.pyo` files) and shared libraries (e.g. `.so` files). When supported by the `zipimport` module in the standard library, the default path entry finders also handle loading all of these file types (other than shared libraries) from zipfiles.

Path entries need not be limited to file system locations. They can refer to URLs, database queries, or any other location that can be specified as a string.

The path based finder provides additional hooks and protocols so that you can extend and customize the types of searchable path entries. For example, if you wanted to support path entries as network URLs, you could write a hook that implements HTTP semantics to find modules on the web. This hook (a callable) would return a path entry finder supporting the protocol described below, which was then used to get a loader for the module from the web.

A word of warning: this section and the previous both use the term finder, distinguishing between them by using the terms meta path finder and path entry finder. These two types of finders are very similar, support similar protocols, and function in similar ways during the import process, but it’s important to keep in mind that they are subtly different. In particular, meta path finders operate at the beginning of the import process, as keyed off the `sys.meta_path` traversal.

By contrast, path entry finders are in a sense an implementation detail of the path based finder, and in fact, if the path based finder were to be removed from `sys.meta_path`, none of the path entry finder semantics would be invoked.

### 5.5.1. Path entry finders

The path based finder is responsible for finding and loading Python modules and packages whose location is specified with a string path entry. Most path entries name locations in the file system, but they need not be limited to this.

As a meta path finder, the path based finder implements the `find_module()` protocol previously described, however it exposes additional hooks that can be used to customize how modules are found and loaded from the import path.

Three variables are used by the path based finder, `sys.path`, `sys.path_hooks` and `sys.path_importer_cache`. The `__path__` attributes on package objects are also used. These provide additional ways that the import machinery can be customized.

`sys.path` contains a list of strings providing search locations for modules and packages. It is initialized from the `PYTHONPATH` environment variable and various other installation- and implementation-specific defaults. Entries in `sys.path` can name directories on the file system, zip files, and potentially other “locations” (see the `site` module) that should be searched for modules, such as URLs, or database queries. Only strings and bytes should be present on `sys.path`; all other data types are ignored. The encoding of bytes entries is determined by the individual path entry finders.

The path based finder is a meta path finder, so the import machinery begins the import path search by calling the path based finder’s `find_module()` method as described previously. When the `path` argument to `find_module()` is given, it will be a list of string paths to traverse - typically a package’s `__path__` attribute for an import within that package. If the `path` argument is `None`, this indicates a top level import and `sys.path` is used.

The path based finder iterates over every entry in the search path, and for each of these, looks for an appropriate path entry finder for the path entry. Because this can be an expensive operation (e.g. there may be stat() call overheads for this search), the path based finder maintains a cache mapping path entries to path entry finders. This cache is maintained in `sys.path_importer_cache` (despite the name, this cache actually stores finder objects rather than being limited to importer objects). In this way, the expensive search for a particular path entry location’s path entry finder need only be done once. User code is free to remove cache entries from `sys.path_importer_cache` forcing the path based finder to perform the path entry search again [3].

If the path entry is not present in the cache, the path based finder iterates over every callable in `sys.path_hooks`. Each of the path entry hooks in this list is called with a single argument, the path entry to be searched. This callable may either return a path entry finder that can handle the path entry, or it may raise `ImportError`. An `ImportError` is used by the path based finder to signal that the hook cannot find a path entry finder for that path entry. The exception is ignored and import path iteration continues. The hook should expect either a string or bytes object; the encoding of bytes objects is up to the hook (e.g. it may be a file system encoding, UTF-8, or something else), and if the hook cannot decode the argument, it should raise `ImportError`.

If `sys.path_hooks` iteration ends with no path entry finder being returned, then the path based finder’s `find_module()` method will store `None` in `sys.path_importer_cache` (to indicate that there is no finder for this path entry) and return `None`, indicating that this meta path finder could not find the module.

If a path entry finder is returned by one of the path entry hook callables on `sys.path_hooks`, then the following protocol is used to ask the finder for a module loader, which is then used to load the module.

### 5.5.2. Path entry finder protocol

In order to support imports of modules and initialized packages and also to contribute portions to namespace packages, path entry finders must implement the `find_loader()` method.

`find_loader()` takes one argument, the fully qualified name of the module being imported. `find_loader()` returns a 2-tuple where the first item is the loader and the second item is a namespace portion. When the first item (i.e. the loader) is `None`, this means that while the path entry finder does not have a loader for the named module, it knows that the path entry contributes to a namespace portion for the named module. This will almost always be the case where Python is asked to import a namespace package that has no physical presence on the file system. When a path entry finder returns `None` for the loader, the second item of the 2-tuple return value must be a sequence, although it can be empty.

If `find_loader()` returns a non-`None` loader value, the portion is ignored and the loader is returned from the path based finder, terminating the search through the path entries.

For backwards compatibility with other implementations of the import protocol, many path entry finders also support the same, traditional `find_module()` method that meta path finders support. However path entry finder `find_module()` methods are never called with a `path` argument (they are expected to record the appropriate path information from the initial call to the path hook).

The `find_module()` method on path entry finders is deprecated, as it does not allow the path entry finder to contribute portions to namespace packages. Instead path entry finders should implement the `find_loader()` method as described above. If it exists on the path entry finder, the import system will always call `find_loader()` in preference to `find_module()`.

## 5.6. Replacing the standard import system

The most reliable mechanism for replacing the entire import system is to delete the default contents of `sys.meta_path`, replacing them entirely with a custom meta path hook.

If it is acceptable to only alter the behaviour of import statements without affecting other APIs that access the import system, then replacing the builtin `__import__()` function may be sufficient. This technique may also be employed at the module level to only alter the behaviour of import statements within that module.

To selectively prevent import of some modules from a hook early on the meta path (rather than disabling the standard import system entirely), it is sufficient to raise `ImportError` directly from `find_module()` instead of returning `None`. The latter indicates that the meta path search should continue. while raising an exception terminates it immediately.

## 5.7. Open issues

XXX It would be really nice to have a diagram.

XXX * (import_machinery.rst) how about a section devoted just to the attributes of modules and packages, perhaps expanding upon or supplanting the related entries in the data model reference page?

XXX runpy, pkgutil, et al in the library manual should all get “See Also” links at the top pointing to the new import system section.

## 5.8. References

The import machinery has evolved considerably since Python’s early days. The original specification for packages is still available to read, although some details have changed since the writing of that document.

The original specification for `sys.meta_path` was PEP 302, with subsequent extension in PEP 420.

PEP 420 introduced namespace packages for Python 3.3. PEP 420 also introduced the `find_loader()` protocol as an alternative to `find_module()`.

PEP 366 describes the addition of the `__package__` attribute for explicit relative imports in main modules.

PEP 328 introduced absolute and explicit relative imports and initially proposed `__name__` for semantics PEP 366 would eventually specify for `__package__`.

PEP 338 defines executing modules as scripts.

Footnotes

[1] | See `types.ModuleType`.

[2] | The importlib implementation avoids using the return value directly. Instead, it gets the module object by looking the module name up in `sys.modules`. The indirect effect of this is that an imported module may replace itself in `sys.modules`. This is implementation-specific behavior that is not guaranteed to work in other Python implementations.

[3] | In legacy code, it is possible to find instances of `imp.NullImporter` in the `sys.path_importer_cache`. It is recommended that code be changed to use `None` instead. See Porting Python code for more details.

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