mirror of https://github.com/python/cpython.git
161 lines
6.1 KiB
TeX
161 lines
6.1 KiB
TeX
\chapter{Future statements and nested scopes \label{futures}}
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\sectionauthor{Jeremy Hylton}{jeremy@alum.mit.edu}
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The semantics of Python's static scoping will change in version 2.2 to
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support resolution of unbound local names in enclosing functions'
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namespaces. The new semantics will be available in Python 2.1 through
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the use of a future statement. This appendix documents these two
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features for Python 2.1; it will be removed in Python 2.2 and the
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features will be documented in the main sections of this manual.
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\section{Future statements \label{future-statements}}
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A \dfn{future statement}\indexii{future}{statement} is a directive to
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the compiler that a particular module should be compiled using syntax
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or semantics that will be available in a specified future release of
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Python. The future statement is intended to ease migration to future
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versions of Python that introduce incompatible changes to the
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language. It allows use of the new features on a per-module basis
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before the release in which the feature becomes standard.
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\begin{productionlist}[*]
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\production{future_statement}
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{"from" "__future__" "import" feature ["as" name]}
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\productioncont{("," feature ["as" name])*}
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\production{feature}{identifier}
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\production{name}{identifier}
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\end{productionlist}
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A future statement must appear near the top of the module. The only
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lines that can appear before a future statement are:
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\begin{itemize}
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\item the module docstring (if any),
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\item comments,
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\item blank lines, and
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\item other future statements.
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\end{itemize}
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The features recognized by Python 2.3 are \samp{generators},
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\samp{division} and \samp{nested_scopes}. \samp{generators} and
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\samp{nested_scopes} are redundant in 2.3 because they are always
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enabled.
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A future statement is recognized and treated specially at compile
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time: Changes to the semantics of core constructs are often
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implemented by generating different code. It may even be the case
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that a new feature introduces new incompatible syntax (such as a new
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reserved word), in which case the compiler may need to parse the
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module differently. Such decisions cannot be pushed off until
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runtime.
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For any given release, the compiler knows which feature names have been
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defined, and raises a compile-time error if a future statement contains
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a feature not known to it.
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The direct runtime semantics are the same as for any import statement:
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there is a standard module \module{__future__}, described later, and
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it will be imported in the usual way at the time the future statement
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is executed.
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The interesting runtime semantics depend on the specific feature
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enabled by the future statement.
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Note that there is nothing special about the statement:
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\begin{verbatim}
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import __future__ [as name]
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\end{verbatim}
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That is not a future statement; it's an ordinary import statement with
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no special semantics or syntax restrictions.
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Code compiled by an exec statement or calls to the builtin functions
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\function{compile()} and \function{execfile()} that occur in a module
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\module{M} containing a future statement will, by default, use the new
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syntax or semantics associated with the future statement. This can,
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starting with Python 2.2 be controlled by optional arguments to
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\function{compile()} --- see the documentation of that function in the
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library reference for details.
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A future statement typed at an interactive interpreter prompt will
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take effect for the rest of the interpreter session. If an
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interpreter is started with the \programopt{-i} option, is passed a
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script name to execute, and the script includes a future statement, it
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will be in effect in the interactive session started after the script
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is executed.
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\section{\module{__future__} ---
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Future statement definitions}
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\declaremodule[future]{standard}{__future__}
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\modulesynopsis{Future statement definitions}
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\module{__future__} is a real module, and serves three purposes:
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\begin{itemize}
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\item To avoid confusing existing tools that analyze import statements
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and expect to find the modules they're importing.
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\item To ensure that future_statements run under releases prior to 2.1
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at least yield runtime exceptions (the import of
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\module{__future__} will fail, because there was no module of
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that name prior to 2.1).
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\item To document when incompatible changes were introduced, and when they
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will be --- or were --- made mandatory. This is a form of executable
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documentation, and can be inspected programatically via importing
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\module{__future__} and examining its contents.
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\end{itemize}
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Each statment in \file{__future__.py} is of the form:
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\begin{verbatim}
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FeatureName = "_Feature(" OptionalRelease "," MandatoryRelease ","
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CompilerFlag ")"
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\end{verbatim}
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where, normally, OptionalRelease is less then MandatoryRelease, and
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both are 5-tuples of the same form as \code{sys.version_info}:
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\begin{verbatim}
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(PY_MAJOR_VERSION, # the 2 in 2.1.0a3; an int
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PY_MINOR_VERSION, # the 1; an int
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PY_MICRO_VERSION, # the 0; an int
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PY_RELEASE_LEVEL, # "alpha", "beta", "candidate" or "final"; string
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PY_RELEASE_SERIAL # the 3; an int
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)
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\end{verbatim}
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OptionalRelease records the first release in which the feature was
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accepted.
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In the case of MandatoryReleases that have not yet occurred,
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MandatoryRelease predicts the release in which the feature will become
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part of the language.
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Else MandatoryRelease records when the feature became part of the
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language; in releases at or after that, modules no longer need a
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future statement to use the feature in question, but may continue to
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use such imports.
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MandatoryRelease may also be \code{None}, meaning that a planned
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feature got dropped.
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Instances of class \class{_Feature} have two corresponding methods,
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\method{getOptionalRelease()} and \method{getMandatoryRelease()}.
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CompilerFlag is the (bitfield) flag that should be passed in the
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fourth argument to the builtin function \function{compile()} to enable
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the feature in dynamically compiled code. This flag is stored in the
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\member{compiler_flag} attribute on \class{_Future} instances.
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No feature description will ever be deleted from \module{__future__}.
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