idea 7.0 pro 直装版

This is Python version 2.7.13 ============================= Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016 Python Software Foundation. All rights reserved. Copyright (c) 2000 BeOpen.com. All rights reserved. Copyright (c) 1995-2001 Corporation for National Research Initiatives. All rights reserved. Copyright (c) 1991-1995 Stichting Mathematisch Centrum. All rights reserved. License information ------------------- See the file "LICENSE" for information on the history of this software, terms & conditions for usage, and a DISCLAIMER OF ALL WARRANTIES. This Python distribution contains no GNU General Public Licensed (GPLed) code so it may be used in proprietary projects just like prior Python distributions. There are interfaces to some GNU code but these are entirely optional. All trademarks referenced herein are property of their respective holders. What's new in this release? --------------------------- See the file "Misc/NEWS". If you don't read instructions ------------------------------ Congratulations on getting this far. :-) To start building right away (on UNIX): type "./configure" in the current directory and when it finishes, type "make". This creates an executable "./python"; to install in /usr/local, first do "su root" and then "make install". The section `Build instructions' below is still recommended reading. What is Python anyway? ---------------------- Python is an interpreted, interactive object-oriented programming language suitable (amongst other uses) for distributed application development, scripting, numeric computing and system testing. Python is often compared to Tcl, Perl, Java, JavaScript, Visual Basic or Scheme. To find out more about what Python can do for you, point your browser to http://www.python.org/. How do I learn Python? ---------------------- The official tutorial is still a good place to start; see http://docs.python.org/ for online and downloadable versions, as well as a list of other introductions, and reference documentation. There's a quickly growing set of books on Python. See http://wiki.python.org/moin/PythonBooks for a list. Documentation ------------- All documentation is provided online in a variety of formats. In order of importance for new users: Tutorial, Library Reference, Language Reference, Extending & Embedding, and the Python/C API. The Library Reference is especially of immense value since much of Python's power is described there, including the built-in data types and functions! All documentation is also available online at the Python web site (http://docs.python.org/, see below). It is available online for occasional reference, or can be downloaded in many formats for faster access. The documentation is downloadable in HTML, PostScript, PDF, LaTeX, and reStructuredText (2.6+) formats; the LaTeX and reStructuredText versions are primarily for documentation authors, translators, and people with special formatting requirements. If you would like to contribute to the development of Python, relevant documentation is available at: http://docs.python.org/devguide/ For information about building Python's documentation, refer to Doc/README.txt. Web sites --------- New Python releases and related technologies are published at http://www.python.org/. Come visit us! Newsgroups and Mailing Lists ---------------------------- Read comp.lang.python, a high-volume discussion newsgroup about Python, or comp.lang.python.announce, a low-volume moderated newsgroup for Python-related announcements. These are also accessible as mailing lists: see http://www.python.org/community/lists/ for an overview of these and many other Python-related mailing lists. Archives are accessible via the Google Groups Usenet archive; see http://groups.google.com/. The mailing lists are also archived, see http://www.python.org/community/lists/ for details. Bug reports ----------- To report or search for bugs, please use the Python Bug Tracker at http://bugs.python.org/. Patches and contributions ------------------------- To submit a patch or other contribution, please use the Python Patch Manager at http://bugs.python.org/. Guidelines for patch submission may be found at http://www.python.org/dev/patches/. If you have a proposal to change Python, you may want to send an email to the comp.lang.python or python-ideas mailing lists for inital feedback. A Python Enhancement Proposal (PEP) may be submitted if your idea gains ground. All current PEPs, as well as guidelines for submitting a new PEP, are listed at http://www.python.org/dev/peps/. Questions --------- For help, if you can't find it in the manuals or on the web site, it's best to post to the comp.lang.python or the Python mailing list (see above). If you specifically don't want to involve the newsgroup or mailing list, send questions to help@python.org (a group of volunteers who answer questions as they can). The newsgroup is the most efficient way to ask public questions. Build instructions ================== Before you can build Python, you must first configure it. Fortunately, the configuration and build process has been automated for Unix and Linux installations, so all you usually have to do is type a few commands and sit back. There are some platforms where things are not quite as smooth; see the platform specific notes below. If you want to build for multiple platforms sharing the same source tree, see the section on VPATH below. Start by running the script "./configure", which determines your system configuration and creates the Makefile. (It takes a minute or two -- please be patient!) You may want to pass options to the configure script -- see the section below on configuration options and variables. When it's done, you are ready to run make. To build Python, you normally type "make" in the toplevel directory. If you have changed the configuration, the Makefile may have to be rebuilt. In this case, you may have to run make again to correctly build your desired target. The interpreter executable is built in the top level directory. To get an optimized build of Python, "configure --enable-optimizations" before you run make. This sets the default make targets up to enable Profile Guided Optimization (PGO) and may be used to auto-enable Link Time Optimization (LTO) on some platforms. For more details, see the sections bellow. Once you have built a Python interpreter, see the subsections below on testing and installation. If you run into trouble, see the next section. Previous versions of Python used a manual configuration process that involved editing the file Modules/Setup. While this file still exists and manual configuration is still supported, it is rarely needed any more: almost all modules are automatically built as appropriate under guidance of the setup.py script, which is run by Make after the interpreter has been built. Profile Guided Optimization --------------------------- PGO takes advantage of recent versions of the GCC or Clang compilers. If ran, "make profile-opt" will do several steps. First, the entire Python directory is cleaned of temporary files that may have resulted in a previous compilation. Then, an instrumented version of the interpreter is built, using suitable compiler flags for each flavour. Note that this is just an intermediary step and the binary resulted after this step is not good for real life workloads, as it has profiling instructions embedded inside. After this instrumented version of the interpreter is built, the Makefile will automatically run a training workload. This is necessary in order to profile the interpreter execution. Note also that any output, both stdout and stderr, tha