mirror of https://github.com/python/cpython.git
9a6e855a27
the install directory. Added -h option to print the full usage message; by default, only two lines are now printed for errors. |
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README | ||
checkextensions.py | ||
findmodules.py | ||
freeze.py | ||
hello.py | ||
makeconfig.py | ||
makefreeze.py | ||
makemakefile.py | ||
parsesetup.py |
README
THE FREEZE SCRIPT ================= What is Freeze? --------------- Freeze make it possible to ship arbitrary Python programs to people who don't have Python. The shipped file (called a "frozen" version of your Python program) is an executable, so this only works if your platform is compatible with that on the receiving end (this is usually a matter of having the same major operating system revision and CPU type). The shipped file contains a Python interpreter and large portions of the Python run-time. Some measures have been taken to avoid linking unneeded modules, but the resulting binary is usually not small. The Python source code of your program (and of the library modules written in Python that it uses) is not included in the binary -- instead, the compiled byte-code (the instruction stream used internally by the interpreter) is incorporated. This gives some protection of your Python source code, though not much -- a disassembler for Python byte-code is available in the standard Python library. At least someone running "strings" on your binary won't see the source. How does Freeze know which modules to include? ---------------------------------------------- Freeze uses a pretty simple-minded algorithm to find the modules that your program uses: given a file containing Python source code, it scans for lines beginning with the word "import" or "from" (possibly preceded by whitespace) and then it knows where to find the module name(s) in those lines. It then recursively scans the source for those modules (if found, and not already processed) in the same way. Freeze will not see import statements hidden behind another statement, like this: if some_test: import M # M not seen or like this: import A; import B; import C # B and C not seen nor will it see import statements constructed using string operations and passed to 'exec', like this: exec "import %s" % "M" # M not seen On the other hand, Freeze will think you are importing a module even if the import statement it sees will never be executed, like this: if 0: import M # M is seen One tricky issue: Freeze assumes that the Python interpreter and environment you're using to run Freeze is the same one that would be used to run your program, which should also be the same whose sources and installed files you will learn about in the next section. In particular, your PYTHONPATH setting should be the same as for running your program locally. (Tip: if the program doesn't run when you type "python hello.py" there's little chance of getting the frozen version to run.) How do I use Freeze? -------------------- Normally, you should be able to use it as follows: python freeze.py hello.py where hello.py is your program and freeze.py is the main file of Freeze (in actuality, you'll probably specify an absolute pathname such as /usr/joe/python/Tools/freeze/freeze.py). (With Python 1.4, freeze is much more likely to work "out of the box" than before, provided Python has been installed properly.) What do I do next? ------------------ Freeze creates three files: frozen.c, config.c and Makefile. To produce the frozen version of your program, you can simply type "make". This should produce a binary file. If the filename argument to Freeze was "hello.py", the binary will be called "hello". Note: you can use the -o option to freeze to specify an alternative directory where these files are created. This makes it easier to clean up after you've shipped the frozen binary. Troubleshooting --------------- If you have trouble using Freeze for a large program, it's probably best to start playing with a really simple program first (like the file hello.py). If you can't get that to work there's something fundamentally wrong -- perhaps you haven't installed Python. To do a proper install, you should do "make install" in the Python root directory. --Guido van Rossum (home page: http://www.python.org/~guido/)