The codeop module provides utilities upon which the Python read-eval-print loop can be emulated, as is done in the code module. As a result, you probably don't want to use the module directly; if you want to include such a loop in your program you probably want to use the code module instead.
There are two parts to this job:
The codeop module provides a way of doing each of these things, and a way of doing them both.
To do just the former:
|source[, filename[, symbol]])|
Noneif source is not valid Python code, but is a prefix of valid Python code.
If there is a problem with source, an exception will be raised. SyntaxError is raised if there is invalid Python syntax, and OverflowError or ValueError if there is an invalid literal.
The symbol argument determines whether source is compiled
as a statement (
'single', the default) or as an expression
'eval'). Any other value will cause ValueError to
Caveat: It is possible (but not likely) that the parser stops parsing with a successful outcome before reaching the end of the source; in this case, trailing symbols may be ignored instead of causing an error. For example, a backslash followed by two newlines may be followed by arbitrary garbage. This will be fixed once the API for the parser is better.
__future__statement, the instance 'remembers' and compiles all subsequent program texts with the statement in force.
A note on version compatibility: the Compile and CommandCompiler are new in Python 2.2. If you want to enable the future-tracking features of 2.2 but also retain compatibility with 2.1 and earlier versions of Python you can either write
try: from codeop import CommandCompiler compile_command = CommandCompiler() del CommandCompiler except ImportError: from codeop import compile_command
which is a low-impact change, but introduces possibly unwanted global state into your program, or you can write:
try: from codeop import CommandCompiler except ImportError: def CommandCompiler(): from codeop import compile_command return compile_command
and then call
CommandCompiler every time you need a fresh