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13 Python Runtime Services
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Prints exception information and a stack trace to file type is the exception type, and value is the exception value limit and file are the same as in print_tb()
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Same as print_exception() applied to the information returned by the sysexc_info() function
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format_exc([limit [, file]])
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Returns a string containing the same information printed by print_exc()
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Same as print_exception (syslast_type, syslast_value, syslast_traceback, limit, file)
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print_stack([frame [, limit [, file]]])
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Prints a stack trace from the point at which it s invoked frame specifies an optional stack frame from which to start limit and file have the same meaning as for print_tb()
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Extracts the stack trace information used by print_tb()The return value is a list of tuples of the form (filename, line, funcname, text) containing the same information that normally appears in a stack trace limit is the number of entries to return
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Extracts the same stack trace information used by print_stack(), but obtained from the stack frame frame If frame is omitted, the current stack frame of the caller is used and limit is the number of entries to return
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format_list(list)
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Formats stack trace information for printing list is a list of tuples as returned by extract_tb() or extract_stack()
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format_exception_only(type, value)
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Formats exception information for printing
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format_exception(type, value, traceback [, limit])
Formats an exception and stack trace for printing
format_tb(traceback [, limit])
Same as format_list(extract_tb(traceback, limit))
format_stack([frame [, limit]])
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tb_lineno(traceback)
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types
types
The types module defines names for the built-in types that correspond to functions, modules, generators, stack frames, and other program elementsThe contents of this module are often used in conjunction with the built-in isinstance() function and other type-related operations
Variable
BuiltinFunctionType CodeType FrameType FunctionType GeneratorType GetSetDescriptorType LambdaType MemberDescriptorType MethodType ModuleType TracebackType
Description
Type of built-in functions Type of code objects Type of execution frame object Type of user-defined functions and lambdas Type of generator-iterator objects Type of getset descriptor objects Alternative name for FunctionType Type of member descriptor objects Type of user-defined class methods Type of modules Type of traceback objects
Most of the preceding type objects serve as constructors that can be used to create an object of that typeThe following descriptions provide the parameters used to create functions, modules, code objects, and methods 3 contains detailed information about the attributes of the objects created and the arguments that need to be supplied to the functions described next
FunctionType(code, globals [, name [, defarags [, closure]]])
Creates a new function object
CodeType(argcount, nlocals, stacksize, flags, codestring, constants, names, varnames, filename, name, firstlineno, lnotab [, freevars [, cellvars ]])
Creates a new code object
MethodType(function, instance, class)
Creates a new bound instance method
ModuleType(name [, doc])
Creates a new module object
Notes
The types module should not be used to refer the type of built-in objects such as integers, lists, or dictionaries In Python 2, types contains other names such as IntType and DictType However, these names are just aliases for the built-in type names of int and dict In modern code, you should just use the built-in type names because the types module only contains the names listed previously in Python 3
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13 Python Runtime Services
warnings
The warnings module provides functions to issue and filter warning messages Unlike exceptions, warnings are intended to alert the user to potential problems, but without generating an exception or causing execution to stop One of the primary uses of the warnings module is to inform users about deprecated language features that may not be supported in future versions of Python For example:
>>> import regex _ _main_ _:1: DeprecationWarning: the regex module is deprecated; module >>> use the re
Like exceptions, warnings are organized into a class hierarchy that describes general categories of warningsThe following lists the currently supported categories:
Warning Object
Warning UserWarning DeprecationWarning SyntaxWarning RuntimeWarning FutureWarning
Description
Base class of all warning types User-defined warning Warning for use of a deprecated feature Potential syntax problem Potential runtime problem Warning that the semantics of a particular feature will change in a future release
Each of these classes is available in the _ _builtin_ _ module as well as the exceptions module In addition, they are also instances of ExceptionThis makes it possible to easily convert warnings into errors Warnings are issued using the warn() function For example:
warningswarn("feature X is deprecated") warningswarn("feature Y might be broken", RuntimeWarning)
If desired, warnings can be filteredThe filtering process can be used to alter the output behavior of warning messages, to ignore warnings, or to turn warnings into exceptions The filterwarnings() function is used to add a filter for a specific type of warning For example:
warningsfilterwarnings(action="ignore", message="*regex*", category=DeprecationWarning) import regex # Warning message disappears
Limited forms of filtering can also be specified using the W option to the interpreter For example: