__future__ — Future statement definitions

Python documentation

Source code:

Lib/__future__.py

———
Imports of the form from__future__importfeature are called

future statements

. These are special-cased by the Python compiler to allow the use of new Python features in modules containing the future statement before the release in which the feature becomes standard.

While these future statements are given additional special meaning by the Python compiler, they are still executed like any other import statement and the

__future__

exists and is handled by the import system the same way any other Python module would be. This design serves three purposes:

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

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 programmatically via importing

__future__

and examining its contents.

To ensure that

future statements

run under releases prior to Python 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).

Module Contents

No feature description will ever be deleted from

__future__

. Since its introduction in Python 2.1 the following features have found their way into the language using this mechanism:

feature

optional in

mandatory in

effect

nested_scopes

2.1.0b1

2.2

PEP 227

: Statically Nested Scopes

generators

2.2.0a1

2.3

PEP 255

: Simple Generators

division

2.2.0a2

3.0

PEP 238

: Changing the Division Operator

absolute_import

2.5.0a1

3.0

PEP 328

: Imports: Multi-Line and Absolute/Relative

with_statement

2.5.0a1

2.6

PEP 343

: The “with” Statement

print_function

2.6.0a2

3.0

PEP 3105

: Make print a function

unicode_literals

2.6.0a2

3.0

PEP 3112

: Bytes literals in Python 3000

generator_stop

3.5.0b1

3.7

PEP 479

: StopIteration handling inside generators

annotations

3.7.0b1

TBD

[1]

PEP 563

: Postponed evaluation of annotations

class__future__._Feature

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 intPY_MINOR_VERSION,# the 1; an intPY_MICRO_VERSION,# the 0; an intPY_RELEASE_LEVEL,# "alpha", "beta", "candidate" or "final"; stringPY_RELEASE_SERIAL# the 3; an int)_Feature.getOptionalRelease()

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

_Feature.getMandatoryRelease()

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 or that it is not yet decided.

_Feature.compiler_flag

CompilerFlag is the (bitfield) flag that should be passed in the fourth argument to the built-in function

compile()

to enable the feature in dynamically compiled code. This flag is stored in the

_Feature.compiler_flag

attribute on

_Feature

instances.

See also

Future statements

How the compiler treats future imports.

PEP 236

- Back to the __future__The original proposal for the __future__ mechanism.