PyPy
  • What is PyPy?
  • Downloading and Installing PyPy
    • Download a pre-built PyPy
    • Installing PyPy
    • Installing using virtualenv
    • Building PyPy yourself
  • Building PyPy from Source
    • Clone the repository
    • Install build-time dependencies
    • Run the translation
    • Translating with non-standard options
    • Packaging (preparing for installation)
    • Installation
  • Frequently Asked Questions
    • What is PyPy?
    • Is PyPy a drop in replacement for CPython?
    • Module xyz does not work with PyPy: ImportError
    • Do CPython Extension modules work with PyPy?
    • On which platforms does PyPy run?
    • Which Python version (2.x?) does PyPy implement?
    • Does PyPy have a GIL? Why?
    • Is PyPy more clever than CPython about Tail Calls?
    • How do I write extension modules for PyPy?
    • How fast is PyPy?
    • Couldn’t the JIT dump and reload already-compiled machine code?
    • Would type annotations help PyPy’s performance?
    • Can I use PyPy’s translation toolchain for other languages besides Python?
    • How do I get into PyPy development? Can I come to sprints?
    • OSError: ... cannot restore segment prot after reloc... Help?
  • Differences between PyPy and CPython
    • Extension modules
    • Differences related to garbage collection strategies
    • Subclasses of built-in types
    • Mutating classes of objects which are already used as dictionary keys
    • Ignored exceptions
    • Object Identity of Primitive Values, is and id
    • Miscellaneous
  • Writing extension modules for pypy
    • CFFI
    • CTypes
    • Reflex
  • RPython Mixed Modules
    • cppyy: C++ bindings for PyPy
      • Motivation
      • Installation
      • Basic bindings example
      • Automatic class loader
      • Advanced example
      • Features
      • Templates
      • The fast lane
      • CPython
      • Python3
        • Backends for cppyy
        • File example.h
  • Embedding PyPy
    • Minimal example
    • More complete example
    • Finding pypy_home
    • Threading
  • Garbage collector configuration
    • Minimark
  • JIT hooks
  • Application-level Stackless features
    • Introduction
    • Theory
    • Application level interface
      • Continulets
      • Genlets
      • Greenlets
      • Unimplemented features
      • Recursion depth limit
      • Stacklets
      • Theory of composability
  • The __pypy__ module
    • Generally available functionality
    • Transparent Proxy Functionality
    • Functionality available on py.py (not after translation)
  • What PyPy can do for your objects
    • Transparent Proxies
      • Example of the core mechanism
      • Example of recording all operations on builtins
      • Transparent Proxy PyPy builtins and support
      • tputil helper module
      • Further points of interest
      • Implementation Notes
  • PyPy’s sandboxing features
    • Introduction
    • Overview
    • Howto
  • Software Transactional Memory
    • What pypy-stm is for
      • ...and what pypy-stm is not for
    • Getting Started
      • Current status (stmgc-c7)
    • Python 3, CPython, and others
    • User Guide
      • How to write multithreaded programs: the 10‘000-feet view
      • Drop-in replacement
      • transaction.TransactionQueue
      • Atomic sections
      • Locks
      • Miscellaneous functions
      • More details about conflicts
    • Implementation
      • Technical reports
      • Reference to implementation details
    • See also
  • Translating on Windows
    • Translating PyPy with Visual Studio
    • Preparing Windows for the large build
    • Installing external packages
    • Abridged method (for -Ojit builds using Visual Studio 2008)
    • Nonabrided method (building from scratch)
      • The Boehm garbage collector
      • The zlib compression library
      • The bz2 compression library
      • The sqlite3 database library
      • The expat XML parser
      • The OpenSSL library
      • TkInter module support
    • Using the mingw compiler
      • libffi for the mingw compiler
      • hacking on PyPy with the mingw compiler
    • What is missing for a full 64-bit translation
  • Getting Started Developing With PyPy
    • Using Mercurial
    • Running PyPy’s unit tests
    • Special Introspection Features of the Untranslated Python Interpreter
      • Interpreter-level console
      • pyinteractive.py options
      • Tracing bytecode and operations on objects
    • Demos
    • Additional Tools for running (and hacking) PyPy
      • graphviz & pygame for flow graph viewing (highly recommended)
      • py.test and the py lib
    • Getting involved
    • Where to start reading the sources
  • How to contribute to PyPy
    • Don’t just hack
    • Test driven development
    • Layers
  • You want to help with PyPy, now what?
    • Architecture
    • Toolset
  • Goals and Architecture Overview
    • Mission statement
    • High Level Goals
    • PyPy Python Interpreter
  • PyPy’s Configuration Handling
    • Main Assumption
    • API Details
      • Description of Options
        • OptionDescription
        • ChoiceOption
        • BoolOption
        • IntOption
        • FloatOption
        • StrOption
      • Configuration Objects
      • Production of optparse Parsers
    • The usage of config objects in PyPy
  • Potential project list
    • Simple tasks for newcomers
    • Mid-to-large tasks
      • Make bytearray type fast
      • Implement copy-on-write list slicing
      • Numpy improvements
      • Improving the jitviewer
      • Optimized Unicode Representation
      • Translation Toolchain
      • Various GCs
      • STM (Software Transactional Memory)
      • Introduce new benchmarks
      • Embedding PyPy and improving CFFI
      • Optimising cpyext (CPython C-API compatibility layer)
    • Make more python modules pypy-friendly
  • Project Documentation
    • Goals and Architecture Overview
      • Mission statement
      • High Level Goals
      • PyPy Python Interpreter
    • Coding Guide
      • Overview and motivation
        • CPython vs. PyPy
        • Application-level and interpreter-level execution and objects
        • Application level is often preferable
        • Our runtime interpreter is “RPython”
      • Wrapping rules
        • Wrapping
        • Naming conventions
        • Operations on w_xxx
        • Application-level exceptions
      • Modules in PyPy
        • Determining the location of a module implementation
        • Module directories / Import order
        • Modifying a CPython library module or regression test
        • Implementing a mixed interpreter/application level Module
        • application level definitions
        • interpreter level definitions
        • Testing modules in lib_pypy/
        • Testing modules in pypy/module
        • Testing modules in lib-python
      • Naming conventions and directory layout
        • Directory and File Naming
        • Naming of python objects
        • Committing & Branching to the repository
      • Using the development bug/feature tracker
      • Testing in PyPy
        • Interpreter level tests
        • Application Level tests
        • Command line tool test_all
        • Coverage reports
        • Test conventions
      • Changing documentation and website
        • documentation/website files in your local checkout
        • Automatically test documentation/website changes
    • Sprint reports from PyPy sprints 2003-2010
    • Papers, talks and related projects
      • Papers
      • Talks and Presentations
        • Talks in 2010
        • Talks in 2009
        • Talks in 2008
        • Talks in 2007
        • Talks in 2006
        • Talks in 2005
        • Talks in 2004
        • Talks in 2003
      • Related projects
    • PyPy video documentation
      • Copyrights and Licensing
      • Trailer: PyPy at the PyCon 2006
      • Interview with Tim Peters
      • Interview with Bob Ippolito
      • Introductory talk on PyPy
      • Talk on Agile Open Source Methods in the PyPy project
      • PyPy Architecture session
      • Sprint tutorial
      • Scripting .NET with IronPython by Jim Hugunin
      • Bram Cohen, founder and developer of BitTorrent
      • Keynote speech by Guido van Rossum on the new Python 2.5 features
      • Trailer: PyPy sprint at the University of Palma de Mallorca
      • Coding discussion of core developers Armin Rigo and Samuele Pedroni
      • PyPy technical talk at the University of Palma de Mallorca
    • PyPy - Overview over the EU-reports
      • Reports of 2007
      • Reports of 2006
      • Reports of 2005
    • Distributed and agile development in PyPy
      • Sprint driven development:
        • How is it done?
        • Can I join in?
    • Glossary
  • Source Code Documentation
    • The Object Space
      • Introduction
      • Object Space Interface
        • Administrative Functions
        • Operations on Objects in the Object Space
        • Convenience Functions
        • Creation of Application Level objects
        • Conversions from Application Level to Interpreter Level
        • Data Members
      • The Standard Object Space
        • Introduction
        • Object types
      • Object Space proxies
    • Bytecode Interpreter
      • Introduction and Overview
      • Bytecode Interpreter Implementation Classes
        • Frame classes
        • Code Class
        • Function and Method classes
        • Arguments Class
        • Module Class
        • Gateway classes
        • Introspection and Descriptors
    • Standard Interpreter Optimizations
      • Introduction
      • Object Optimizations
        • Integer Optimizations
        • Dictionary Optimizations
        • List Optimizations
        • User Class Optimizations
      • Interpreter Optimizations
        • Special Bytecodes
      • Overall Effects
    • PyPy Parser
      • Overview
      • Tokenizer
      • Parser
        • Building the Python grammar
        • Parser implementation
        • Parsing Python
      • Compiler
        • Building AST
        • AST Optimization
        • Symbol analysis
        • Bytecode generation
    • Configuration Options for PyPy
      • PyPy Python interpreter options
        • Internal Options
      • General translation options
        • Internal Options
      • translation
        • translation.continuation
        • translation.type_system
        • translation.backend
        • translation.shared
        • translation.log
        • translation.gc
        • translation.gctransformer
        • translation.gcremovetypeptr
        • translation.gcrootfinder
        • translation.thread
        • translation.sandbox
        • translation.rweakref
        • translation.jit
        • translation.jit_backend
        • translation.jit_profiler
        • translation.check_str_without_nul
        • translation.verbose
        • translation.cc
        • translation.profopt
        • translation.noprofopt
        • translation.instrument
        • translation.countmallocs
        • translation.fork_before
        • translation.dont_write_c_files
        • translation.instrumentctl
        • translation.output
        • translation.secondaryentrypoints
        • translation.dump_static_data_info
        • translation.no__thread
        • translation.make_jobs
        • translation.list_comprehension_operations
        • translation.withsmallfuncsets
        • translation.taggedpointers
        • translation.lldebug
        • translation.lldebug0
        • translation.icon
        • translation.backendopt
        • translation.platform
      • objspace
        • objspace.usemodules
        • objspace.allworkingmodules
        • objspace.extmodules
        • objspace.translationmodules
        • objspace.usepycfiles
        • objspace.lonepycfiles
        • objspace.soabi
        • objspace.honor__builtins__
        • objspace.disable_call_speedhacks
        • objspace.std
      • The --opt or -O translation option
    • Command line reference
      • Manual pages
        • pypy
    • PyPy directory cross-reference
  • Making a PyPy Release
    • Overview
    • Release Steps
  • Papers, talks and related projects
    • Papers
    • Talks and Presentations
      • Talks in 2010
      • Talks in 2009
      • Talks in 2008
      • Talks in 2007
      • Talks in 2006
      • Talks in 2005
      • Talks in 2004
      • Talks in 2003
    • Related projects
  • More sprints
    • EuroPython PyPy sprint 6-9 July 2006
    • PyPy at XP 2006 and Agile 2006
    • Duesseldorf PyPy sprint 2-9 June 2006
    • PyPy sprint at Akihabara (Tokyo, Japan)
    • PyPy at Python UK/ACCU Conference (United Kingdom)
    • PyPy at XPDay France 2006 in Paris March 23rd - March 24th 2006
    • Logic Sprint at Louvain-la-Neuve University (Louvain-la-Neuve, Belgium)
    • PyCon Sprint 2006 (Dallas, Texas, USA)
    • Talks at PyCon 2006 (Dallas, Texas, USA)
    • PyPy at Solutions Linux in Paris January 31st - February 2nd 2006
    • PyPy Sprint in Palma De Mallorca 23rd - 29th January 2006
    • Preliminary EU reports released
    • PyPy Sprint in Göteborg 7th - 11th December 2005
    • PyPy release 0.8.0
    • PyPy Sprint in Paris 10th-16th October 2005
    • PyPy release 0.7.0
    • PyPy Sprint in Heidelberg 22nd-29th August 2005
    • PyPy Hildesheim2 finished: first self-contained PyPy run!
    • EuroPython 2005 sprints finished
  • Old discussion notes needing categorization
    • Ordering finalizers in the SemiSpace GC
      • Goal
      • Algorithm
    • Designing thread pickling or “the Essence of Stackless Python”
      • What is meant by pickling?
      • What is not meant by pickling?
      • Basic necessities
      • The real problem
      • Why a problem?
      • SLP switching strategies
      • Analogies between SLP and PyPy
      • Ways to handle the problem in a minimalistic way
      • Just an addition after some more thinking
    • Possible improvements of the rpython language
      • Improve the interpreter API
      • RPython language
      • Extensible type system for llexternal
    • PyPy’s ctypes implementation
      • Summary
      • Low-level part: _rawffi
      • High-level parts
      • Discussion and limitations
      • Running application examples
        • pyglet
      • ctypes configure
        • idea
        • installation
        • usage
    • A JIT-aware profiler
      • Expected output
      • What to do about “inner” bridges?
      • Detecting the enter to/exit from a loop
  • Historical release notes
    • CPython 2.7 compatible versions
      • PyPy 2.6.0 - Cameo Charm
        • What is PyPy?
        • Highlights
      • PyPy 2.5.1 - Pineapple Bromeliad
        • What is PyPy?
        • Highlights
      • PyPy 2.5.0 - Pincushion Protea
        • What is PyPy?
        • Highlights
      • PyPy 2.4 - Snow White
        • What is PyPy?
        • Highlights
      • PyPy 2.3.1 - Terrestrial Arthropod Trap Revisited
        • What is PyPy?
        • Highlights
      • PyPy 2.3 - Terrestrial Arthropod Trap
        • What is PyPy?
        • Highlights
      • PyPy 2.2.1 - Incrementalism.1
        • What is PyPy?
        • Highlights
      • PyPy 2.2 - Incrementalism
        • What is PyPy?
        • Highlights
      • PyPy 2.1 - Considered ARMful
        • What is PyPy?
        • Highlights
      • PyPy 2.1 beta 2
        • Highlights
        • What is PyPy?
        • How to use PyPy?
      • PyPy 2.1 beta 1
        • Highlights
        • What is PyPy?
        • How to use PyPy?
      • PyPy 2.1 - Considered ARMful
        • What is PyPy?
        • Highlights
      • PyPy 2.0.2 - Fermi Panini
        • What is PyPy?
        • Highlights
      • PyPy 2.0.1 - Bohr Smørrebrød
        • What is PyPy?
        • Highlights
      • PyPy 2.0 - Einstein Sandwich
        • What is PyPy?
        • Highlights
      • PyPy 2.0 beta 2
        • What is PyPy?
        • How to use PyPy?
        • Highlights
        • Improvements since 1.9
      • PyPy 2.0 beta 1
        • What is PyPy?
        • How to use PyPy?
        • Regressions
        • Highlights
        • Things we’re working on
      • PyPy 1.9 - Yard Wolf
        • What is PyPy?
        • Thanks to our donors
        • Highlights
        • JitViewer
      • PyPy 1.8 - business as usual
        • What is PyPy?
        • Highlights
        • Ongoing work
      • PyPy 1.7 - widening the sweet spot
        • What is PyPy?
        • Highlights
        • Things that didn’t make it, expect in 1.8 soon
        • Fundraising
      • PyPy 1.6 - kickass panda
        • What is PyPy?
        • Highlights
      • PyPy 1.5: Catching Up
        • What is PyPy?
        • More highlights
      • PyPy 1.4.1
        • What is PyPy
        • More highlights
      • PyPy 1.4beta - towards 1.4.0 release
      • PyPy 1.4: Ouroboros in practice
        • What is PyPy
        • More highlights
      • PyPy 1.3: Stabilization
        • Highlights of this release
      • PyPy 1.2: Just-in-Time Compilation
        • Highlights of This Release
        • What is PyPy?
      • PyPy 1.1: Compatibility & Consolidation
        • Highlights of This Release
        • Other Changes
        • What is PyPy?
      • PyPy 1.0: JIT compilers for free and more
        • What is PyPy?
        • 1.0.0 Feature highlights
        • Funding partners and organizations
      • pypy-0.99.0: new object spaces, optimizations, configuration ...
        • What is PyPy?
        • Key 0.99.0 Features
        • What about 1.0?
        • Funding partners and organizations
      • pypy-0.9.0: stackless, new extension compiler
        • What is PyPy (about)?
        • Where to start?
        • Ongoing work and near term goals
        • Project Details
      • pypy-0.8.0: Translatable compiler/parser and some more speed
        • What is PyPy (about)?
        • Where to start?
        • Ongoing work and near term goals
      • pypy-0.7.0: first PyPy-generated Python Implementations
        • What is PyPy (about)?
        • Where to start?
        • Ongoing work and near term goals
      • The PyPy 0.6 release
      • What it is and where to start
      • Interesting bits and highlights
      • Ongoing work and near term goals
    • CPython 3.2 compatible versions
      • PyPy3 2.4 - Snow White
        • What is PyPy?
        • PyPy3 Highlights
        • Further Highlights (shared w/ PyPy2)
      • PyPy3 2.3.1 - Fulcrum
        • Highlights
        • What is PyPy?
        • How to use PyPy?
      • PyPy3 2.1 beta 1
        • Highlights
        • What is PyPy?
        • How to use PyPy?
  • Changelogs
    • CPython 2.7 compatible versions
      • What’s new in PyPy 2.6+
      • What’s new in PyPy 2.5+
      • What’s new in PyPy 2.5.1
      • What’s new in PyPy 2.5.0
      • What’s new in PyPy 2.4+
      • What’s new in PyPy 2.3
      • What’s new in PyPy 2.2.1
      • What’s new in PyPy 2.2
      • What’s new in PyPy 2.1
      • What’s new in PyPy 2.0
      • What’s new in PyPy xxx
      • What’s new in PyPy 1.9
    • CPython 3.2 compatible versions
      • What’s new in PyPy3 2.4.0
      • What’s new in PyPy3 2.3.1
  • Contributors to PyPy
 
PyPy
  • Docs »
  • Project Documentation »
  • Configuration Options for PyPy »
  • objspace »
  • objspace.std
  • Edit on Bitbucket

objspace.std¶

  • objspace.std.withtproxy
  • objspace.std.withprebuiltint
  • objspace.std.prebuiltintfrom
  • objspace.std.prebuiltintto
  • objspace.std.withsmalllong
  • objspace.std.withstrbuf
  • objspace.std.withprebuiltchar
  • objspace.std.sharesmallstr
  • objspace.std.withspecialisedtuple
  • objspace.std.withcelldict
  • objspace.std.withmapdict
  • objspace.std.withrangelist
  • objspace.std.withliststrategies
  • objspace.std.withtypeversion
  • objspace.std.withmethodcache
  • objspace.std.withmethodcachecounter
  • objspace.std.methodcachesizeexp
  • objspace.std.intshortcut
  • objspace.std.optimized_list_getitem
  • objspace.std.getattributeshortcut
  • objspace.std.newshortcut
  • objspace.std.withidentitydict
  • objspace.std.withidentitydict
  • name: std
  • description: Standard Object Space Options
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