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When looking for a module (for example, foo), the interpreter searches each of the directories in syspath for the following files (listed in search order): 1 A directory, foo, defining a package 2 foopyd, fooso, foomoduleso, or foomoduledll (compiled extensions) 3 foopyo (only if the -O or -OO option has been used) 4 foopyc 5 foopy (on Windows, Python also checks for pyw files) Packages are described shortly; compiled extensions are described in 26, Extending and Embedding Python For py files, when a module is first imported, it s compiled into bytecode and written back to disk as a pyc file On subsequent imports, the interpreter loads this precompiled bytecode unless the modification date of the py file is more recent (in which case, the pyc file is regenerated) pyo files are used in conjunction with the interpreter s -O optionThese files contain bytecode stripped of line numbers, assertions, and other debugging information As a result, they re somewhat smaller and allow the interpreter to run slightly faster If the -OO option is specified instead of -O, documentation strings are also stripped from the fileThis removal of documentation strings occurs only when pyo files are created not when they re loaded If none of these files exists in any of the directories in syspath, the interpreter checks whether the name corresponds to a built-in module name If no match exists, an ImportError exception is raised The automatic compilation of files into pyc and pyo files occurs only in conjunction with the import statement Programs specified on the command line or standard input don t produce such files In addition, these files aren t created if the directory containing a module s py file doesn t allow writing (eg, either due to insufficient permission or if it s part of a zip archive)The -B option to the interpreter also disables the generation of these files If pyc and pyo files are available, it is not necessary for a corresponding py file to existThus, if you are packaging code and don t wish to include source, you can merely bundle a set of pyc files together However, be aware that Python has extensive support for introspection and disassembly Knowledgeable users will still be able to inspect and find out a lot of details about your program even if the source hasn t been provided Also, be aware that pyc files tend to be version-specificThus, a pyc file generated for one version of Python might not work in a future release When import searches for files, it matches filenames in a case-sensitive manner even on machines where the underlying file system is case-insensitive, such as on Windows and OS X (such systems are case-preserving, however)Therefore, import foo will only import the file foopy and not the file FOOPY However, as a general rule, you should avoid the use of module names that differ in case only.

for adding callback functions and viewing the roles the currently loggedin user is a member of The methods listed in Table 912 enable you to load all the roles a user is a member of and verify that a user is in a speci c role

This does nothing but defer the real work to follow and unfollow partials, which need a new routes file with rules for the Relationships resource, which follows the Microposts resource example (Listing 1121), as seen in Listing 1224

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Python provides no real support for reloading or unloading of previously imported modules Although you can remove a module from sysmodules, this does not generally unload a module from memoryThis is because references to the module object may still exist in other program components that used import to load that module Moreover, if there are instances of classes defined in the module, those instances contain references back to their class object, which in turn holds references to the module in which it was defined The fact that module references exist in many places makes it generally impractical to reload a module after making changes to its implementation For example, if you remove a module from sysmodules and use import to reload it, this will not retroactively change all of the previous references to the module used in a program Instead, you ll have one reference to the new module created by the most recent import statement and a set of references to the old module created by imports in other parts of the codeThis is rarely what you want and never safe to use in any kind of sane production code unless you are able to carefully control the entire execution environment Older versions of Python provided a reload() function for reloading a module However, use of this function was never really safe (for all of the aforementioned reasons), and its use was actively discouraged except as a possible debugging aid Python 3 removes this feature entirely So, it s best not to rely upon it Finally, it should be noted that C/C++ extensions to Python cannot be safely unloaded or reloaded in any way No support is provided for this, and the underlying operating system may prohibit it anywaysThus, your only recourse is to restart the Python interpreter process

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