importlib — The implementation of import¶Added in version 3.1.
Source code: Lib/importlib/__init__.py
The purpose of the importlib package is three-fold.
One is to provide the
implementation of the import statement (and thus, by extension, the
__import__() function) in Python source code. This provides an
implementation of import which is portable to any Python
interpreter. This also provides an implementation which is easier to
comprehend than one implemented in a programming language other than Python.
Two, the components to implement import are exposed in this
package, making it easier for users to create their own custom objects (known
generically as an importer) to participate in the import process.
Three, the package contains modules exposing additional functionality for managing aspects of Python packages:
importlib.metadata presents access to metadata from third-party
distributions.
importlib.resources provides routines for accessing non-code
“resources” from Python packages.
See also
The language reference for the import statement.
Original specification of packages. Some semantics have changed since
the writing of this document (e.g. redirecting based on None
in sys.modules).
__import__() functionThe import statement is syntactic sugar for this function.
The initialization of sys.path.
Import on Case-Insensitive Platforms
Defining Python Source Code Encodings
New Import Hooks
Imports: Multi-Line and Absolute/Relative
Main module explicit relative imports
Implicit namespace packages
A ModuleSpec Type for the Import System
Elimination of PYO files
Multi-phase extension module initialization
Deterministic pycs
Using UTF-8 as the Default Source Encoding
PYC Repository Directories
An implementation of the built-in __import__() function.
Note
Programmatic importing of modules should use import_module()
instead of this function.
Import a module. The name argument specifies what module to
import in absolute or relative terms
(e.g. either pkg.mod or ..mod). If the name is
specified in relative terms, then the package argument must be set to
the name of the package which is to act as the anchor for resolving the
package name (e.g. import_module('..mod', 'pkg.subpkg') will import
pkg.mod).
The import_module() function acts as a simplifying wrapper around
importlib.__import__(). This means all semantics of the function are
derived from importlib.__import__(). The most important difference
between these two functions is that import_module() returns the
specified package or module (e.g. pkg.mod), while __import__()
returns the top-level package or module (e.g. pkg).
If you are dynamically importing a module that was created since the
interpreter began execution (e.g., created a Python source file), you may
need to call invalidate_caches() in order for the new module to be
noticed by the import system.
If the module cannot be imported, import_module() will raise
ImportError or an appropriate subclass like
ModuleNotFoundError.
Changed in version 3.3: Parent packages are automatically imported.
Invalidate the internal caches of finders stored at
sys.meta_path. If a finder implements invalidate_caches() then it
will be called to perform the invalidation. This function should be called
if any modules are created/installed while your program is running to
guarantee all finders will notice the new module’s existence.
Added in version 3.3.
Changed in version 3.10: Namespace packages created/installed in a different sys.path
location after the same namespace was already imported are noticed.
Reload a previously imported module. The argument must be a module object,
so it must have been successfully imported before. This is useful if you
have edited the module source file using an external editor and want to try
out the new version without leaving the Python interpreter. The return value
is the module object (which can be different if re-importing causes a
different object to be placed in sys.modules).
When reload() is executed:
Python module’s code is recompiled and the module-level code re-executed,
defining a new set of objects which are bound to names in the module’s
dictionary by reusing the loader which originally loaded the
module. The init function of extension modules is not called a second
time.
As with all other objects in Python the old objects are only reclaimed after their reference counts drop to zero.
The names in the module namespace are updated to point to any new or changed objects.
Other references to the old objects (such as names external to the module) are not rebound to refer to the new objects and must be updated in each namespace where they occur if that is desired.
There are a number of other caveats:
When a module is reloaded, its dictionary (containing the module’s global
variables) is retained. Redefinitions of names will override the old
definitions, so this is generally not a problem. If the new version of a
module does not define a name that was defined by the old version, the old
definition remains. This feature can be used to the module’s advantage if it
maintains a global table or cache of objects — with a try
statement it can test for the table’s presence and skip its initialization if
desired:
try:
cache
except NameError:
cache = {}
It is generally not very useful to reload built-in or dynamically loaded
modules. Reloading sys, __main__, builtins and other
key modules is not recommended. In many cases extension modules are not
designed to be initialized more than once, and may fail in arbitrary ways
when reloaded.
If a module imports objects from another module using from …
import …, calling reload() for the other module does not
redefine the objects imported from it — one way around this is to
re-execute the from statement, another is to use import
and qualified names (module.name) instead.
If a module instantiates instances of a class, reloading the module that defines the class does not affect the method definitions of the instances — they continue to use the old class definition. The same is true for derived classes.
Added in version 3.4.
Changed in version 3.7: ModuleNotFoundError is raised when the module being reloaded lacks
a ModuleSpec.
Warning
This function is not thread-safe. Calling it from multiple threads can result
in unexpected behavior. It’s recommended to use the threading.Lock
or other synchronization primitives for thread-safe module reloading.
importlib.abc – Abstract base classes related to import¶Source code: Lib/importlib/abc.py
The importlib.abc module contains all of the core abstract base classes
used by import. Some subclasses of the core abstract base classes
are also provided to help in implementing the core ABCs.
ABC hierarchy:
object
+-- MetaPathFinder
+-- PathEntryFinder
+-- Loader
+-- ResourceLoader --------+
+-- InspectLoader |
+-- ExecutionLoader --+
+-- FileLoader
+-- SourceLoader
An abstract base class representing a meta path finder.
Added in version 3.3.
Changed in version 3.10: No longer a subclass of Finder.
An abstract method for finding a spec for
the specified module. If this is a top-level import, path will
be None. Otherwise, this is a search for a subpackage or
module and path will be the value of __path__ from the
parent package. If a spec cannot be found, None is returned.
When passed in, target is a module object that the finder may
use to make a more educated guess about what spec to return.
importlib.util.spec_from_loader() may be useful for implementing
concrete MetaPathFinders.
Added in version 3.4.
An optional method which, when called, should invalidate any internal
cache used by the finder. Used by importlib.invalidate_caches()
when invalidating the caches of all finders on sys.meta_path.
Changed in version 3.4: Returns None when called instead of NotImplemented.
An abstract base class representing a path entry finder. Though
it bears some similarities to MetaPathFinder, PathEntryFinder
is meant for use only within the path-based import subsystem provided
by importlib.machinery.PathFinder.
Added in version 3.3.
Changed in version 3.10: No longer a subclass of Finder.
An abstract method for finding a spec for
the specified module. The finder will search for the module only
within the path entry to which it is assigned. If a spec
cannot be found, None is returned. When passed in, target
is a module object that the finder may use to make a more educated
guess about what spec to return. importlib.util.spec_from_loader()
may be useful for implementing concrete PathEntryFinders.
Added in version 3.4.
An optional method which, when called, should invalidate any internal
cache used by the finder. Used by
importlib.machinery.PathFinder.invalidate_caches()
when invalidating the caches of all cached finders.
An abstract base class for a loader. See PEP 302 for the exact definition for a loader.
Loaders that wish to support resource reading should implement a
get_resource_reader()method as specified byimportlib.resources.abc.ResourceReader.Changed in version 3.7: Introduced the optional
get_resource_reader()method.
Changed in version 3.15: Removed the load_module() method.
A method that returns the module object to use when
importing a module. This method may return None,
indicating that default module creation semantics should take place.
Added in version 3.4.
Changed in version 3.6: This method is no longer optional when
exec_module() is defined.
An abstract method that executes the module in its own namespace
when a module is imported or reloaded. The module should already
be initialized when exec_module() is called. When this method exists,
create_module() must be defined.
Added in version 3.4.
Changed in version 3.6: create_module() must also be defined.
Superseded by TraversableResources
An abstract base class for a loader which implements the optional PEP 302 protocol for loading arbitrary resources from the storage back-end.
Deprecated since version 3.7: This ABC is deprecated in favour of supporting resource loading through
importlib.resources.abc.TraversableResources. This class exists for backwards compatibility only with other ABCs in this module.
- abstractmethod get_data(path)¶
An abstract method to return the bytes for the data located at path. Loaders that have a file-like storage back-end that allows storing arbitrary data can implement this abstract method to give direct access to the data stored.
OSErroris to be raised if the path cannot be found. The path is expected to be constructed using a module’s__file__attribute or an item from a package’s__path__.Changed in version 3.4: Raises
OSErrorinstead ofNotImplementedError.
An abstract base class for a loader which implements the optional PEP 302 protocol for loaders that inspect modules.
Return the code object for a module, or None if the module does not
have a code object (as would be the case, for example, for a built-in
module). Raise an ImportError if loader cannot find the
requested module.
Note
While the method has a default implementation, it is suggested that it be overridden if possible for performance.
Changed in version 3.4: No longer abstract and a concrete implementation is provided.
An abstract method to return the source of a module. It is returned as a text string using universal newlines, translating all recognized line separators into
'\n'characters. ReturnsNoneif no source is available (e.g. a built-in module). RaisesImportErrorif the loader cannot find the module specified.Changed in version 3.4: Raises
ImportErrorinstead ofNotImplementedError.
An optional method to return a true value if the module is a package, a
false value otherwise. ImportError is raised if the
loader cannot find the module.
Changed in version 3.4: Raises ImportError instead of NotImplementedError.
Create a code object from Python source.
The data argument can be whatever the compile() function
supports (i.e. string or bytes). The path argument should be
the “path” to where the source code originated from, which can be an
abstract concept (e.g. location in a zip file).
With the subsequent code object one can execute it in a module by
running exec(code, module.__dict__).
The optional argument fullname specifies the module name. It is needed to unambiguous filter syntax warnings by module name.
Added in version 3.4.
Changed in version 3.5: Made the method static.
Added in version 3.15: Added the fullname parameter.
Implementation of Loader.exec_module().
Added in version 3.4.
An abstract base class which inherits from InspectLoader that,
when implemented, helps a module to be executed as a script. The ABC
represents an optional PEP 302 protocol.
An abstract method that is to return the value of
__file__for the specified module. If no path is available,ImportErroris raised.If source code is available, then the method should return the path to the source file, regardless of whether a bytecode was used to load the module.
Changed in version 3.4: Raises
ImportErrorinstead ofNotImplementedError.
An abstract base class which inherits from ResourceLoader and
ExecutionLoader, providing concrete implementations of
ResourceLoader.get_data() and ExecutionLoader.get_filename().
The fullname argument is a fully resolved name of the module the loader is to handle. The path argument is the path to the file for the module.
Added in version 3.3.
Changed in version 3.15: Removed the load_module() method.
The name of the module the loader can handle.
Path to the file of the module.
Reads path as a binary file and returns the bytes from it.
An abstract base class for implementing source (and optionally bytecode)
file loading. The class inherits from both ResourceLoader and
ExecutionLoader, requiring the implementation of:
ExecutionLoader.get_filename()Should only return the path to the source file; sourceless loading is not supported.
The abstract methods defined by this class are to add optional bytecode
file support. Not implementing these optional methods (or causing them to
raise NotImplementedError) causes the loader to
only work with source code. Implementing the methods allows the loader to
work with source and bytecode files; it does not allow for sourceless
loading where only bytecode is provided. Bytecode files are an
optimization to speed up loading by removing the parsing step of Python’s
compiler, and so no bytecode-specific API is exposed.
Changed in version 3.15: Removed the load_module() method.
Optional abstract method which returns a dict containing
metadata about the specified path. Supported dictionary keys are:
'mtime' (mandatory): an integer or floating-point number
representing the modification time of the source code;
'size' (optional): the size in bytes of the source code.
Any other keys in the dictionary are ignored, to allow for future
extensions. If the path cannot be handled, OSError is raised.
Added in version 3.3.
Changed in version 3.4: Raise OSError instead of NotImplementedError.
Optional abstract method which returns the modification time for the specified path.
Deprecated since version 3.3: This method is deprecated in favour of path_stats(). You don’t
have to implement it, but it is still available for compatibility
purposes. Raise OSError if the path cannot be handled.
Changed in version 3.4: Raise OSError instead of NotImplementedError.
Optional abstract method which writes the specified bytes to a file path. Any intermediate directories which do not exist are to be created automatically.
When writing to the path fails because the path is read-only
(errno.EACCES/PermissionError), do not propagate the
exception.
Changed in version 3.4: No longer raises NotImplementedError when called.
Concrete implementation of InspectLoader.get_code().
Concrete implementation of Loader.exec_module().
Added in version 3.4.
Concrete implementation of InspectLoader.get_source().
Concrete implementation of InspectLoader.is_package(). A module
is determined to be a package if its file path (as provided by
ExecutionLoader.get_filename()) is a file named
__init__ when the file extension is removed and the module name
itself does not end in __init__.
importlib.machinery – Importers and path hooks¶Source code: Lib/importlib/machinery.py
This module contains the various objects that help import
find and load modules.
A list of strings representing the recognized file suffixes for source modules.
Added in version 3.3.
A list of strings representing the file suffixes for non-optimized bytecode modules.
Added in version 3.3.
Deprecated since version 3.5: Use BYTECODE_SUFFIXES instead.
A list of strings representing the file suffixes for optimized bytecode modules.
Added in version 3.3.
Deprecated since version 3.5: Use BYTECODE_SUFFIXES instead.
A list of strings representing the recognized file suffixes for bytecode modules (including the leading dot).
Added in version 3.3.
Changed in version 3.5: The value is no longer dependent on __debug__.
A list of strings representing the recognized file suffixes for extension modules.
Added in version 3.3.
Returns a combined list of strings representing all file suffixes for
modules recognized by the standard import machinery. This is a
helper for code which simply needs to know if a filesystem path
potentially refers to a module without needing any details on the kind
of module (for example, inspect.getmodulename()).
Added in version 3.3.
An importer for built-in modules. All known built-in modules are
listed in sys.builtin_module_names. This class implements the
importlib.abc.MetaPathFinder and
importlib.abc.InspectLoader ABCs.
Only class methods are defined by this class to alleviate the need for instantiation.
Changed in version 3.5: As part of PEP 489, the builtin importer now implements
Loader.create_module() and Loader.exec_module()
An importer for frozen modules. This class implements the
importlib.abc.MetaPathFinder and
importlib.abc.InspectLoader ABCs.
Only class methods are defined by this class to alleviate the need for instantiation.
Changed in version 3.4: Gained create_module() and exec_module()
methods.
Finder for modules declared in the Windows registry. This class
implements the importlib.abc.MetaPathFinder ABC.
Only class methods are defined by this class to alleviate the need for instantiation.
Added in version 3.3.
Deprecated since version 3.6: Use site configuration instead. Future versions of Python may
not enable this finder by default.
A Finder for sys.path and package __path__ attributes.
This class implements the importlib.abc.MetaPathFinder ABC.
Only class methods are defined by this class to alleviate the need for instantiation.
Class method that attempts to find a spec
for the module specified by fullname on sys.path or, if
defined, on path. For each path entry that is searched,
sys.path_importer_cache is checked. If a non-false object
is found then it is used as the path entry finder to look
for the module being searched for. If no entry is found in
sys.path_importer_cache, then sys.path_hooks is
searched for a finder for the path entry and, if found, is stored
in sys.path_importer_cache along with being queried about
the module. If no finder is ever found then None is both
stored in the cache and returned.
Added in version 3.4.
Changed in version 3.5: If the current working directory – represented by an empty string –
is no longer valid then None is returned but no value is cached
in sys.path_importer_cache.
Calls importlib.abc.PathEntryFinder.invalidate_caches() on all
finders stored in sys.path_importer_cache that define the method.
Otherwise entries in sys.path_importer_cache set to None are
deleted.
Changed in version 3.7: Entries of None in sys.path_importer_cache are deleted.
Changed in version 3.4: Calls objects in sys.path_hooks with the current working
directory for '' (i.e. the empty string).
A concrete implementation of importlib.abc.PathEntryFinder which
caches results from the file system.
The path argument is the directory for which the finder is in charge of searching.
The loader_details argument is a variable number of 2-item tuples each containing a loader and a sequence of file suffixes the loader recognizes. The loaders are expected to be callables which accept two arguments of the module’s name and the path to the file found.
The finder will cache the directory contents as necessary, making stat calls
for each module search to verify the cache is not outdated. Because cache
staleness relies upon the granularity of the operating system’s state
information of the file system, there is a potential race condition of
searching for a module, creating a new file, and then searching for the
module the new file represents. If the operations happen fast enough to fit
within the granularity of stat calls, then the module search will fail. To
prevent this from happening, when you create a module dynamically, make sure
to call importlib.invalidate_caches().
Added in version 3.3.
The path the finder will search in.
Attempt to find the spec to handle fullname within path.
Added in version 3.4.
Clear out the internal cache.
A class method which returns a closure for use on sys.path_hooks.
An instance of FileFinder is returned by the closure using the
path argument given to the closure directly and loader_details
indirectly.
If the argument to the closure is not an existing directory,
ImportError is raised.
Represents a namespace package’s path (module.__path__).
When its __path__ value is accessed it will be recomputed if necessary.
This keeps it in-sync with the global state (sys.modules).
The name argument is the name of the namespace module.
The path argument is the initial path value.
The path_finder argument is the callable used to recompute the path value.
The callable has the same signature as importlib.abc.MetaPathFinder.find_spec().
When the parent’s module.__path__ attribute is updated, the path
value is recomputed.
If the parent module is missing from sys.modules, then
ModuleNotFoundError will be raised.
For top-level modules, the parent module’s path is sys.path.
Note
PathFinder.invalidate_caches() invalidates NamespacePath,
forcing the path value to be recomputed next time it is accessed.
Added in version 3.15.
A concrete implementation of importlib.abc.SourceLoader by
subclassing importlib.abc.FileLoader and providing some concrete
implementations of other methods.
Added in version 3.3.
Changed in version 3.15: Removed the load_module() method.
The name of the module that this loader will handle.
The path to the source file.
Concrete implementation of importlib.abc.SourceLoader.path_stats().
Concrete implementation of importlib.abc.SourceLoader.set_data().
A concrete implementation of importlib.abc.FileLoader which can
import bytecode files (i.e. no source code files exist).
Please note that direct use of bytecode files (and thus not source code files) inhibits your modules from being usable by all Python implementations or new versions of Python which change the bytecode format.
Added in version 3.3.
Changed in version 3.15: Removed the load_module() method.
The name of the module the loader will handle.
The path to the bytecode file.
Returns None as bytecode files have no source when this loader is
used.
A concrete implementation of importlib.abc.ExecutionLoader for
extension modules.
The fullname argument specifies the name of the module the loader is to support. The path argument is the path to the extension module’s file.
Note that, by default, importing an extension module will fail in subinterpreters if it doesn’t implement multi-phase init (see PEP 489), even if it would otherwise import successfully.
Added in version 3.3.
Changed in version 3.12: Multi-phase init is now required for use in subinterpreters.
Name of the module the loader supports.
Path to the extension module.
Creates the module object from the given specification in accordance with PEP 489.
Added in version 3.5.
Initializes the given module object in accordance with PEP 489.
Added in version 3.5.
Returns True if the file path points to a package’s __init__
module based on EXTENSION_SUFFIXES.
Returns None as extension modules lack a code object.
Returns None as extension modules do not have source code.
A concrete implementation of importlib.abc.InspectLoader for
namespace packages. This is an alias for a private class and is only made
public for introspecting the __loader__ attribute on namespace
packages:
>>> from importlib.machinery import NamespaceLoader
>>> import my_namespace
>>> isinstance(my_namespace.__loader__, NamespaceLoader)
True
>>> import importlib.abc
>>> isinstance(my_namespace.__loader__, importlib.abc.Loader)
True
Added in version 3.11.
A specification for a module’s import-system-related state. This is
typically exposed as the module’s __spec__ attribute. Many
of these attributes are also available directly on a module: for example,
module.__spec__.origin == module.__file__. Note, however, that
while the values are usually equivalent, they can differ since there is
no synchronization between the two objects. For example, it is possible to
update the module’s __file__ at runtime and this will not be
automatically reflected in the module’s
__spec__.origin, and vice versa.
Added in version 3.4.
The module’s fully qualified name (see module.__name__).
The finder should always set this attribute to a non-empty string.
The loader used to load the module (see module.__loader__).
The finder should always set this attribute.
The location the loader should use to load the module
(see module.__file__).
For example, for modules loaded from a .py file this is the filename.
The finder should always set this attribute to a meaningful value
for the loader to use. In the uncommon case that there is not one
(like for namespace packages), it should be set to None.
A (possibly empty) sequence of strings enumerating the locations
in which a package’s submodules will be found
(see module.__path__). Most of the time there will only be a
single directory in this list.
The finder should set this attribute to a sequence, even an empty
one, to indicate
to the import system that the module is a package. It should be set to None for
non-package modules. It is set automatically later to a special object for
namespace packages.
The finder may set this attribute to an object containing additional,
module-specific data to use when loading the module. Otherwise it should be
set to None.
The filename of a compiled version of the module’s code.
The finder should always set this attribute but it may be None
for modules that do not need compiled code stored.
(Read-only) The fully qualified name of the package the module is in (or the
empty string for a top-level module).
See module.__package__.
If the module is a package then this is the same as name.
A specialization of importlib.machinery.ExtensionFileLoader that
is able to load extension modules in Framework format.
For compatibility with the iOS App Store, all binary modules in an iOS app
must be dynamic libraries, contained in a framework with appropriate
metadata, stored in the Frameworks folder of the packaged app. There can
be only a single binary per framework, and there can be no executable binary
material outside the Frameworks folder.
To accommodate this requirement, when running on iOS, extension module
binaries are not packaged as .so files on sys.path, but as
individual standalone frameworks. To discover those frameworks, this loader
is registered against the .fwork file extension, with a .fwork
file acting as a placeholder in the original location of the binary on
sys.path. The .fwork file contains the path of the actual binary in
the Frameworks folder, relative to the app bundle. To allow for
resolving a framework-packaged binary back to the original location, the
framework is expected to contain a .origin file that contains the
location of the .fwork file, relative to the app bundle.
For example, consider the case of an import from foo.bar import _whiz,
where _whiz is implemented with the binary module
sources/foo/bar/_whiz.abi3.so, with sources being the location
registered on sys.path, relative to the application bundle. This module
must be distributed as
Frameworks/foo.bar._whiz.framework/foo.bar._whiz (creating the framework
name from the full import path of the module), with an Info.plist file
in the .framework directory identifying the binary as a framework. The
foo.bar._whiz module would be represented in the original location with
a sources/foo/bar/_whiz.abi3.fwork marker file, containing the path
Frameworks/foo.bar._whiz/foo.bar._whiz. The framework would also contain
Frameworks/foo.bar._whiz.framework/foo.bar._whiz.origin, containing the
path to the .fwork file.
When a module is loaded with this loader, the __file__ for the module
will report as the location of the .fwork file. This allows code to use
the __file__ of a module as an anchor for file system traversal.
However, the spec origin will reference the location of the actual binary
in the .framework folder.
The Xcode project building the app is responsible for converting any .so
files from wherever they exist in the PYTHONPATH into frameworks in the
Frameworks folder (including stripping extensions from the module file,
the addition of framework metadata, and signing the resulting framework),
and creating the .fwork and .origin files. This will usually be done
with a build step in the Xcode project; see the iOS documentation for
details on how to construct this build step.
Added in version 3.13.
Availability: iOS.
Name of the module the loader supports.
Path to the .fwork file for the extension module.
importlib.util – Utility code for importers¶Source code: Lib/importlib/util.py
This module contains the various objects that help in the construction of an importer.
The bytes which represent the bytecode version number. If you need help with
loading/writing bytecode then consider importlib.abc.SourceLoader.
Added in version 3.4.
Return the PEP 3147/PEP 488 path to the byte-compiled file associated
with the source path. For example, if path is /foo/bar/baz.py the return
value would be /foo/bar/__pycache__/baz.cpython-32.pyc for Python 3.2.
The cpython-32 string comes from the current magic tag (see
get_tag(); if sys.implementation.cache_tag is not defined then
NotImplementedError will be raised).
The optimization parameter is used to specify the optimization level of the
bytecode file. An empty string represents no optimization, so
/foo/bar/baz.py with an optimization of '' will result in a
bytecode path of /foo/bar/__pycache__/baz.cpython-32.pyc. None causes
the interpreter’s optimization level to be used. Any other value’s string
representation is used, so /foo/bar/baz.py with an optimization of
2 will lead to the bytecode path of
/foo/bar/__pycache__/baz.cpython-32.opt-2.pyc. The string representation
of optimization can only be alphanumeric, else ValueError is raised.
Added in version 3.4.
Changed in version 3.5: The optimization parameter was added and the debug_override parameter was deprecated.
Changed in version 3.6: Accepts a path-like object.
Changed in version 3.15: The debug_override parameter was removed.
Given the path to a PEP 3147 file name, return the associated source code
file path. For example, if path is
/foo/bar/__pycache__/baz.cpython-32.pyc the returned path would be
/foo/bar/baz.py. path need not exist, however if it does not conform
to PEP 3147 or PEP 488 format, a ValueError is raised. If
sys.implementation.cache_tag is not defined,
NotImplementedError is raised.
Added in version 3.4.
Changed in version 3.6: Accepts a path-like object.
Decode the given bytes representing source code and return it as a string
with universal newlines (as required by
importlib.abc.InspectLoader.get_source()).
Added in version 3.4.
Resolve a relative module name to an absolute one.
If name has no leading dots, then name is simply returned. This
allows for usage such as
importlib.util.resolve_name('sys', __spec__.parent) without doing a
check to see if the package argument is needed.
ImportError is raised if name is a relative module name but
package is a false value (e.g. None or the empty string).
ImportError is also raised if a relative name would escape its
containing package (e.g. requesting ..bacon from within the spam
package).
Added in version 3.3.
Changed in version 3.9: To improve consistency with import statements, raise
ImportError instead of ValueError for invalid relative
import attempts.
Find the spec for a module, optionally relative to
the specified package name. If the module is in sys.modules,
then sys.modules[name].__spec__ is returned (unless the spec would be
None or is not set, in which case ValueError is raised).
Otherwise a search using sys.meta_path is done. None is
returned if no spec is found.
If name is for a submodule (contains a dot), the parent module is automatically imported.
name and package work the same as for import_module().
Added in version 3.4.
Changed in version 3.7: Raises ModuleNotFoundError instead of AttributeError if
package is in fact not a package (i.e. lacks a
__path__ attribute).
Create a new module based on spec and
spec.loader.create_module.
If spec.loader.create_module
does not return None, then any pre-existing attributes will not be reset.
Also, no AttributeError will be raised if triggered while accessing
spec or setting an attribute on the module.
This function is preferred over using types.ModuleType to create a
new module as spec is used to set as many import-controlled attributes on
the module as possible.
Added in version 3.5.
A factory function for creating a ModuleSpec
instance based on a loader. The parameters have the same meaning as they do
for ModuleSpec. The function uses available loader APIs, such as
InspectLoader.is_package(), to fill in any missing
information on the spec.
Added in version 3.4.
A factory function for creating a ModuleSpec
instance based on the path to a file. Missing information will be filled in
on the spec by making use of loader APIs and by the implication that the
module will be file-based.
Added in version 3.4.
Changed in version 3.6: Accepts a path-like object.
Return the hash of source_bytes as bytes. A hash-based .pyc file embeds
the source_hash() of the corresponding source file’s contents in its
header.
Added in version 3.7.
A context manager that can temporarily skip the compatibility check for extension modules. By default the check is enabled and will fail when a single-phase init module is imported in a subinterpreter. It will also fail for a multi-phase init module that doesn’t explicitly support a per-interpreter GIL, when imported in an interpreter with its own GIL.
Note that this function is meant to accommodate an unusual case; one which is likely to eventually go away. There’s is a pretty good chance this is not what you were looking for.
You can get the same effect as this function by implementing the basic interface of multi-phase init (PEP 489) and lying about support for multiple interpreters (or per-interpreter GIL).
Warning
Using this function to disable the check can lead to unexpected behavior and even crashes. It should only be used during extension module development.
Added in version 3.12.
A class which postpones the execution of the loader of a module until the module has an attribute accessed.
This class only works with loaders that define
exec_module() as control over what module type
is used for the module is required. For those same reasons, the loader’s
create_module() method must return None or a
type for which its __class__ attribute can be mutated along with not
using slots. Finally, modules which substitute the object
placed into sys.modules will not work as there is no way to properly
replace the module references throughout the interpreter safely;
ValueError is raised if such a substitution is detected.
Note
For projects where startup time is critical, this class allows for potentially minimizing the cost of loading a module if it is never used. For projects where startup time is not essential then use of this class is heavily discouraged due to error messages created during loading being postponed and thus occurring out of context.
Added in version 3.5.
Changed in version 3.6: Began calling create_module(), removing the
compatibility warning for importlib.machinery.BuiltinImporter and
importlib.machinery.ExtensionFileLoader.
A class method which returns a callable that creates a lazy loader. This is meant to be used in situations where the loader is passed by class instead of by instance.
suffixes = importlib.machinery.SOURCE_SUFFIXES
loader = importlib.machinery.SourceFileLoader
lazy_loader = importlib.util.LazyLoader.factory(loader)
finder = importlib.machinery.FileFinder(path, (lazy_loader, suffixes))
To programmatically import a module, use importlib.import_module().
import importlib
itertools = importlib.import_module('itertools')
If you need to find out if a module can be imported without actually doing the
import, then you should use importlib.util.find_spec().
Note that if name is a submodule (contains a dot),
importlib.util.find_spec() will import the parent module.
import importlib.util
import sys
# For illustrative purposes.
name = 'itertools'
if name in sys.modules:
print(f"{name!r} already in sys.modules")
elif (spec := importlib.util.find_spec(name)) is not None:
# If you chose to perform the actual import ...
module = importlib.util.module_from_spec(spec)
sys.modules[name] = module
spec.loader.exec_module(module)
print(f"{name!r} has been imported")
else:
print(f"can't find the {name!r} module")
This recipe should be used with caution: it is an approximation of an import
statement where the file path is specified directly, rather than
sys.path being searched. Alternatives should first be considered first,
such as modifying sys.path when a proper module is required, or using
runpy.run_path() when the global namespace resulting from running a Python
file is appropriate.
To import a Python source file directly from a path, use the following recipe:
import importlib.util
import sys
def import_from_path(module_name, file_path):
spec = importlib.util.spec_from_file_location(module_name, file_path)
module = importlib.util.module_from_spec(spec)
sys.modules[module_name] = module
spec.loader.exec_module(module)
return module
# For illustrative purposes only (use of `json` is arbitrary).
import json
file_path = json.__file__
module_name = json.__name__
# Similar outcome as `import json`.
json = import_from_path(module_name, file_path)
The example below shows how to implement lazy imports:
>>> import importlib.util
>>> import sys
>>> def lazy_import(name):
... spec = importlib.util.find_spec(name)
... loader = importlib.util.LazyLoader(spec.loader)
... spec.loader = loader
... module = importlib.util.module_from_spec(spec)
... sys.modules[name] = module
... loader.exec_module(module)
... return module
...
>>> lazy_typing = lazy_import("typing")
>>> #lazy_typing is a real module object,
>>> #but it is not loaded in memory yet.
>>> lazy_typing.TYPE_CHECKING
False
For deep customizations of import, you typically want to implement an
importer. This means managing both the finder and loader
side of things. For finders there are two flavours to choose from depending on
your needs: a meta path finder or a path entry finder. The
former is what you would put on sys.meta_path while the latter is what
you create using a path entry hook on sys.path_hooks which works
with sys.path entries to potentially create a finder. This example will
show you how to register your own importers so that import will use them (for
creating an importer for yourself, read the documentation for the appropriate
classes defined within this package):
import importlib.machinery
import sys
# For illustrative purposes only.
SpamMetaPathFinder = importlib.machinery.PathFinder
SpamPathEntryFinder = importlib.machinery.FileFinder
loader_details = (importlib.machinery.SourceFileLoader,
importlib.machinery.SOURCE_SUFFIXES)
# Setting up a meta path finder.
# Make sure to put the finder in the proper location in the list in terms of
# priority.
sys.meta_path.append(SpamMetaPathFinder)
# Setting up a path entry finder.
# Make sure to put the path hook in the proper location in the list in terms
# of priority.
sys.path_hooks.append(SpamPathEntryFinder.path_hook(loader_details))
importlib.import_module()¶Import itself is implemented in Python code, making it possible to
expose most of the import machinery through importlib. The following
helps illustrate the various APIs that importlib exposes by providing an
approximate implementation of
importlib.import_module():
import importlib.util
import sys
def import_module(name, package=None):
"""An approximate implementation of import."""
absolute_name = importlib.util.resolve_name(name, package)
try:
return sys.modules[absolute_name]
except KeyError:
pass
path = None
if '.' in absolute_name:
parent_name, _, child_name = absolute_name.rpartition('.')
parent_module = import_module(parent_name)
path = parent_module.__spec__.submodule_search_locations
for finder in sys.meta_path:
spec = finder.find_spec(absolute_name, path)
if spec is not None:
break
else:
msg = f'No module named {absolute_name!r}'
raise ModuleNotFoundError(msg, name=absolute_name)
module = importlib.util.module_from_spec(spec)
sys.modules[absolute_name] = module
spec.loader.exec_module(module)
if path is not None:
setattr(parent_module, child_name, module)
return module