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If the path entry does not exist in the cache, the path-based Finder iterates over each sys.path_hooks callable. Each of the path entry brackets in this list is called with a single argument, the path entry to look for. This call can return a path entry lookup tool that can process the path entry or throw ImportError. An ImportError is used by the path-based Finder to report that the hook cannot find a path entry lookup tool for that path entry. The exception is ignored and the import path iteration continues. The hook should expect a string or byte object. The encoding of byte objects depends on the hook (for example, it can be file system encoding, UTF-8, or other), and if the hook cannot decode the argument, it must throw ImportError. This name is used at different stages of the import search and can be the dotted path to a submodule, such as foo.bar.baz. In this case, Python tries to import foo first, then foo.bar, and finally foo.bar.baz. If one of the intermediate imports fails, a ModuleNotFoundError is thrown. The path-based search tool goes through each entry in the search path and looks for an appropriate path entry lookup tool (PathEntryFinder) for the path entry for each of those entries. Because this can be an expensive operation (for example, there may be a stat() call overhead for this search), the path-based Finder maintains a cache that maps path entries to path entry search tools. This cache is managed in sys.path_importer_cache (despite its name, this cache actually stores Finder objects and is not limited to importing objects).

In this way, the expensive search tool for path entry of a specific path entry location only needs to be done once. User code can remove cache entries from sys.path_importer_cache the path-based Finder to look for path 3 entries again. Here is the implementation to illustrate how we can import a class into our program: The standard set of path input detectors implements all the semantics to locate modules in the file system and handles special file types such as Python source code (.py files), Python bytecode (.pyc files), and shared libraries (e.g., B.so files). While supported by the zipimport module in the default library, the default path entry search tools also handle loading all of these file types (except shared libraries) from ZIP files. There are similar circular debates about import instructions in other languages that have a similar concept to Java packages. If a module specification is found, the importing machine uses it (and the loader it contains) when loading the module. Here`s an approximation of what happens during the loading portion of the import: The find_module() method on path entry lookup tools is deprecated because it does not allow the path entry finder to bring parts to namespace packages. If find_loader() and find_module() exist on a path entry lookup tool, the import system always calls find_loader() instead of find_module(). If a class with the same name exists in the two different packages that you import with the star shape, the compiler remains silent unless you try to use one of the classes. In this case, you will receive an error, i.e.

Compilation Errors and must explicitly name the class that determines their package. Version 3.3 Change: The import system has been updated to fully implement the second phase of PIP 302. There are no more implicit import mechanisms – the entire import system is exposed by sys.meta_path. In addition, support for native namespace packages has been implemented (see PEP 420). The asterisk in the import statement can only be used to specify all classes in a package, as shown here. It cannot be used to match a subset of the classes in a package. For example, the following does not match all classes in the graphics package that begin with A. When creating Automated Stoic, I wanted to use the source code of Memento Mori. However, since I didn`t know how to use the import statement correctly, I had to do it.

If a member of one package shares its name with a member of another package and both packages are imported, you must label each member by its qualified name. For example, the graphics package defined a class named Rectangle. The java.awt package also contains a Rectangle class. If the graphics and java.awt have been imported, the following are ambiguous. If the Metapathfinder knows how to handle the named module, it returns a specification object. If the named module cannot be processed, none is returned. If sys.meta_path process reaches the bottom of its list without returning a specification, a ModuleNotFoundError is thrown. All other exceptions handled are simply propagated, which cancels the import process.

The importing machine populates these attributes during loading based on the module specification for each module object before the loader runs the module. When a submodule is loaded using a mechanism (for example, importlib APIs, import or import-from statements, or the built-in __import__()), a binding to the submodule object is placed in the namespace of the parent module. For example, if packet spam has a foo submodule, after spam.foo is imported, the spam will have a foo attribute linked to the submodule. Suppose you have the following directory structure: A practical rule of thumb might be to specify the package name down to the last node, but not necessarily to write a separate import statement for each class. It seems to me that the intent is revealing without inviting visual clutter, as in Dan North`s example of the thread Kevlin started: An import statement tells the compiler the path of an entire class or package. This is different from “#include” in C++, which contains all the program code. The Import statement tells the compiler that we want to use a class (or classes) defined under a package. It is very useful and recommended compared to the “fully qualified name” method because it reduces the overall size of the code and improves the readability of the source code. Given Python`s well-known naming rules, this may seem surprising, but it`s actually a fundamental feature of the import system. The invariant attitude is that if you have sys.modules[`spam`] and sys.modules[`spam.foo`] (as you would after the import above), the latter should appear as the foo attribute of the former.