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Reference
ActivePython 2.4
Python Documentation
Library Reference
3. Python Runtime Services
3.1 sys -- System-specific parameters and functions
3.2 gc -- Garbage Collector interface
3.3 weakref -- Weak references
3.4 fpectl -- Floating point exception control
3.5 atexit -- Exit handlers
3.6 types -- Names for built-in types
3.7 UserDict -- Class wrapper for dictionary objects
3.8 UserList -- Class wrapper for list objects
3.9 UserString -- Class wrapper for string objects
3.10 operator -- Standard operators as functions.
3.11 inspect -- Inspect live objects
3.12 traceback -- Print or retrieve a stack traceback
3.13 linecache -- Random access to text lines
3.14 pickle -- Python object serialization
3.15 cPickle -- A faster pickle
3.16 copy reg -- Register pickle support functions
3.17 shelve -- Python object persistence
3.18 copy -- Shallow and deep copy operations
3.19 marshal -- Internal Python object serialization
3.20 warnings -- Warning control
3.21 imp -- Access the import internals
3.22 zipimport -- Import modules from Zip archives
3.23 pkgutil -- Package extension utility
3.24 modulefinder -- Find modules used by a script
3.25 code -- Interpreter base classes
3.26 codeop -- Compile Python code
3.27 pprint -- Data pretty printer
3.28 repr -- Alternate repr() implementation
3.29 new -- Creation of runtime internal objects
3.30 site -- Site-specific configuration hook
3.31 user -- User-specific configuration hook
3.32 builtin -- Built-in objects
3.33 main -- Top-level script environment
3.34 future -- Future statement definitions

MyASPN >> Reference >> ActivePython 2.4 >> Python Documentation >> Library Reference >> 3. Python Runtime Services
ActivePython 2.4 documentation

3.34 __future__ -- Future statement definitions

__future__ is a real module, and serves three purposes:

  • To avoid confusing existing tools that analyze import statements and expect to find the modules they're importing.

  • To ensure that future_statements run under releases prior to 2.1 at least yield runtime exceptions (the import of __future__ will fail, because there was no module of that name prior to 2.1).

  • To document when incompatible changes were introduced, and when they will be -- or were -- made mandatory. This is a form of executable documentation, and can be inspected programatically via importing __future__ and examining its contents.

Each statement in __future__.py is of the form:


 FeatureName = "_Feature(" OptionalRelease "," MandatoryRelease ","
                         CompilerFlag ")"
 

where, normally, OptionalRelease is less than MandatoryRelease, and both are 5-tuples of the same form as sys.version_info:

    (PY_MAJOR_VERSION, # the 2 in 2.1.0a3; an int
     PY_MINOR_VERSION, # the 1; an int
     PY_MICRO_VERSION, # the 0; an int
     PY_RELEASE_LEVEL, # "alpha", "beta", "candidate" or "final"; string
     PY_RELEASE_SERIAL # the 3; an int
    )

OptionalRelease records the first release in which the feature was accepted.

In the case of a MandatoryRelease that has not yet occurred, MandatoryRelease predicts the release in which the feature will become part of the language.

Else MandatoryRelease records when the feature became part of the language; in releases at or after that, modules no longer need a future statement to use the feature in question, but may continue to use such imports.

MandatoryRelease may also be None, meaning that a planned feature got dropped.

Instances of class _Feature have two corresponding methods, getOptionalRelease() and getMandatoryRelease().

CompilerFlag is the (bitfield) flag that should be passed in the fourth argument to the builtin function compile() to enable the feature in dynamically compiled code. This flag is stored in the compiler_flag attribute on _Feature instances.

No feature description will ever be deleted from __future__.

See About this document... for information on suggesting changes.

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