8.Compound statements¶
Compound statements contain (groups of) other statements; they affect or controlthe execution of those other statements in some way. In general, compoundstatements span multiple lines, although in simple incarnations a whole compoundstatement may be contained in one line.
Theif
,while
andfor
statements implementtraditional control flow constructs.try
specifies exceptionhandlers and/or cleanup code for a group of statements, while thewith
statement allows the execution of initialization andfinalization code around a block of code. Function and class definitions arealso syntactically compound statements.
A compound statement consists of one or more ‘clauses.’ A clause consists of aheader and a ‘suite.’ The clause headers of a particular compound statement areall at the same indentation level. Each clause header begins with a uniquelyidentifying keyword and ends with a colon. A suite is a group of statementscontrolled by a clause. A suite can be one or more semicolon-separated simplestatements on the same line as the header, following the header’s colon, or itcan be one or more indented statements on subsequent lines. Only the latterform of a suite can contain nested compound statements; the following is illegal,mostly because it wouldn’t be clear to whichif
clause a followingelse
clause would belong:
iftest1:iftest2:print(x)
Also note that the semicolon binds tighter than the colon in this context, sothat in the following example, either all or none of theprint()
calls areexecuted:
ifx<y<z:print(x);print(y);print(z)
Summarizing:
compound_stmt ::=if_stmt
|while_stmt
|for_stmt
|try_stmt
|with_stmt
|funcdef
|classdef
|async_with_stmt
|async_for_stmt
|async_funcdef
suite ::=stmt_list
NEWLINE | NEWLINE INDENTstatement
+ DEDENTstatement ::=stmt_list
NEWLINE |compound_stmt
stmt_list ::=simple_stmt
(";"simple_stmt
)* [";"]
Note that statements always end in aNEWLINE
possibly followed by aDEDENT
. Also note that optional continuation clauses always begin with akeyword that cannot start a statement, thus there are no ambiguities (the‘danglingelse
’ problem is solved in Python by requiring nestedif
statements to be indented).
The formatting of the grammar rules in the following sections places each clauseon a separate line for clarity.
8.1.Theif
statement¶
Theif
statement is used for conditional execution:
if_stmt ::= "if"assignment_expression
":"suite
("elif"assignment_expression
":"suite
)* ["else" ":"suite
]
It selects exactly one of the suites by evaluating the expressions one by oneuntil one is found to be true (see sectionBoolean operations for the definition oftrue and false); then that suite is executed (and no other part of theif
statement is executed or evaluated). If all expressions arefalse, the suite of theelse
clause, if present, is executed.
8.2.Thewhile
statement¶
Thewhile
statement is used for repeated execution as long as anexpression is true:
while_stmt ::= "while"assignment_expression
":"suite
["else" ":"suite
]
This repeatedly tests the expression and, if it is true, executes the firstsuite; if the expression is false (which may be the first time it is tested) thesuite of theelse
clause, if present, is executed and the loopterminates.
Abreak
statement executed in the first suite terminates the loopwithout executing theelse
clause’s suite. Acontinue
statement executed in the first suite skips the rest of the suite and goes backto testing the expression.
8.3.Thefor
statement¶
Thefor
statement is used to iterate over the elements of a sequence(such as a string, tuple or list) or other iterable object:
for_stmt ::= "for"target_list
"in"expression_list
":"suite
["else" ":"suite
]
The expression list is evaluated once; it should yield an iterable object. Aniterator is created for the result of theexpression_list
. The suite isthen executed once for each item provided by the iterator, in the order returnedby the iterator. Each item in turn is assigned to the target list using thestandard rules for assignments (seeAssignment statements), and then the suite isexecuted. When the items are exhausted (which is immediately when the sequenceis empty or an iterator raises aStopIteration
exception), the suite intheelse
clause, if present, is executed, and the loop terminates.
Abreak
statement executed in the first suite terminates the loopwithout executing theelse
clause’s suite. Acontinue
statement executed in the first suite skips the rest of the suite and continueswith the next item, or with theelse
clause if there is no nextitem.
The for-loop makes assignments to the variables in the target list.This overwrites all previous assignments to those variables includingthose made in the suite of the for-loop:
foriinrange(10):print(i)i=5# this will not affect the for-loop# because i will be overwritten with the next# index in the range
Names in the target list are not deleted when the loop is finished, but if thesequence is empty, they will not have been assigned to at all by the loop. Hint:the built-in functionrange()
returns an iterator of integers suitable toemulate the effect of Pascal’sfori:=atobdo
; e.g.,list(range(3))
returns the list[0,1,2]
.
Note
There is a subtlety when the sequence is being modified by the loop (this canonly occur for mutable sequences, e.g. lists). An internal counter is usedto keep track of which item is used next, and this is incremented on eachiteration. When this counter has reached the length of the sequence the loopterminates. This means that if the suite deletes the current (or a previous)item from the sequence, the next item will be skipped (since it gets theindex of the current item which has already been treated). Likewise, if thesuite inserts an item in the sequence before the current item, the currentitem will be treated again the next time through the loop. This can lead tonasty bugs that can be avoided by making a temporary copy using a slice ofthe whole sequence, e.g.,
forxina[:]:ifx<0:a.remove(x)
8.4.Thetry
statement¶
Thetry
statement specifies exception handlers and/or cleanup codefor a group of statements:
try_stmt ::=try1_stmt
|try2_stmt
try1_stmt ::= "try" ":"suite
("except" [expression
["as"identifier
]] ":"suite
)+ ["else" ":"suite
] ["finally" ":"suite
]try2_stmt ::= "try" ":"suite
"finally" ":"suite
Theexcept
clause(s) specify one or more exception handlers. When noexception occurs in thetry
clause, no exception handler is executed.When an exception occurs in thetry
suite, a search for an exceptionhandler is started. This search inspects the except clauses in turn until oneis found that matches the exception. An expression-less except clause, ifpresent, must be last; it matches any exception. For an except clause with anexpression, that expression is evaluated, and the clause matches the exceptionif the resulting object is “compatible” with the exception. An object iscompatible with an exception if the object is the class or anon-virtual base class of the exception object,or a tuple containing an item that is the class or a non-virtual base classof the exception object.
If no except clause matches the exception, the search for an exception handlercontinues in the surrounding code and on the invocation stack.1
If the evaluation of an expression in the header of an except clause raises anexception, the original search for a handler is canceled and a search starts forthe new exception in the surrounding code and on the call stack (it is treatedas if the entiretry
statement raised the exception).
When a matching except clause is found, the exception is assigned to the targetspecified after theas
keyword in that except clause, if present, andthe except clause’s suite is executed. All except clauses must have anexecutable block. When the end of this block is reached, execution continuesnormally after the entire try statement. (This means that if two nestedhandlers exist for the same exception, and the exception occurs in the tryclause of the inner handler, the outer handler will not handle the exception.)
When an exception has been assigned usingastarget
, it is cleared at theend of the except clause. This is as if
exceptEasN:foo
was translated to
exceptEasN:try:foofinally:delN
This means the exception must be assigned to a different name to be able torefer to it after the except clause. Exceptions are cleared because with thetraceback attached to them, they form a reference cycle with the stack frame,keeping all locals in that frame alive until the next garbage collection occurs.
Before an except clause’s suite is executed, details about the exception arestored in thesys
module and can be accessed viasys.exc_info()
.sys.exc_info()
returns a 3-tuple consisting of the exception class, theexception instance and a traceback object (see sectionThe standard type hierarchy) identifyingthe point in the program where the exception occurred.sys.exc_info()
values are restored to their previous values (before the call) when returningfrom a function that handled an exception.
The optionalelse
clause is executed if the control flow leaves thetry
suite, no exception was raised, and noreturn
,continue
, orbreak
statement was executed. Exceptions intheelse
clause are not handled by the precedingexcept
clauses.
Iffinally
is present, it specifies a ‘cleanup’ handler. Thetry
clause is executed, including anyexcept
andelse
clauses. If an exception occurs in any of the clauses and isnot handled, the exception is temporarily saved. Thefinally
clauseis executed. If there is a saved exception it is re-raised at the end of thefinally
clause. If thefinally
clause raises anotherexception, the saved exception is set as the context of the new exception.If thefinally
clause executes areturn
,break
orcontinue
statement, the saved exception is discarded:
>>>deff():...try:...1/0...finally:...return42...>>>f()42
The exception information is not available to the program during execution ofthefinally
clause.
When areturn
,break
orcontinue
statement isexecuted in thetry
suite of atry
…finally
statement, thefinally
clause is also executed ‘on the way out.’
The return value of a function is determined by the lastreturn
statement executed. Since thefinally
clause always executes, areturn
statement executed in thefinally
clause willalways be the last one executed:
>>>deffoo():...try:...return'try'...finally:...return'finally'...>>>foo()'finally'
Additional information on exceptions can be found in sectionExceptions,and information on using theraise
statement to generate exceptionsmay be found in sectionThe raise statement.
8.5.Thewith
statement¶
Thewith
statement is used to wrap the execution of a block withmethods defined by a context manager (see sectionWith Statement Context Managers).This allows commontry
…except
…finally
usage patterns to be encapsulated for convenient reuse.
with_stmt ::= "with"with_item
(","with_item
)* ":"suite
with_item ::=expression
["as"target
]
The execution of thewith
statement with one “item” proceeds as follows:
The context expression (the expression given in the
with_item
) isevaluated to obtain a context manager.The context manager’s
__enter__()
is loaded for later use.The context manager’s
__exit__()
is loaded for later use.The context manager’s
__enter__()
method is invoked.If a target was included in the
with
statement, the return valuefrom__enter__()
is assigned to it.Note
The
with
statement guarantees that if the__enter__()
method returns without an error, then__exit__()
will always becalled. Thus, if an error occurs during the assignment to the target list,it will be treated the same as an error occurring within the suite wouldbe. See step 6 below.The suite is executed.
The context manager’s
__exit__()
method is invoked. If an exceptioncaused the suite to be exited, its type, value, and traceback are passed asarguments to__exit__()
. Otherwise, threeNone
arguments aresupplied.If the suite was exited due to an exception, and the return value from the
__exit__()
method was false, the exception is reraised. If the returnvalue was true, the exception is suppressed, and execution continues with thestatement following thewith
statement.If the suite was exited for any reason other than an exception, the returnvalue from
__exit__()
is ignored, and execution proceeds at the normallocation for the kind of exit that was taken.
The following code:
withEXPRESSIONasTARGET:SUITE
is semantically equivalent to:
manager=(EXPRESSION)enter=type(manager).__enter__exit=type(manager).__exit__value=enter(manager)hit_except=Falsetry:TARGET=valueSUITEexcept:hit_except=Trueifnotexit(manager,*sys.exc_info()):raisefinally:ifnothit_except:exit(manager,None,None,None)
With more than one item, the context managers are processed as if multiplewith
statements were nested:
withA()asa,B()asb:SUITE
is semantically equivalent to:
withA()asa:withB()asb:SUITE
Changed in version 3.1:Support for multiple context expressions.
8.6.Function definitions¶
A function definition defines a user-defined function object (see sectionThe standard type hierarchy):
funcdef ::= [decorators
] "def"funcname
"(" [parameter_list
] ")" ["->"expression
] ":"suite
decorators ::=decorator
+decorator ::= "@"assignment_expression
NEWLINEparameter_list ::=defparameter
(","defparameter
)* "," "/" ["," [parameter_list_no_posonly
]] |parameter_list_no_posonly
parameter_list_no_posonly ::=defparameter
(","defparameter
)* ["," [parameter_list_starargs
]] |parameter_list_starargs
parameter_list_starargs ::= "*" [parameter
] (","defparameter
)* ["," ["**"parameter
[","]]] | "**"parameter
[","]parameter ::=identifier
[":"expression
]defparameter ::=parameter
["="expression
]funcname ::=identifier
A function definition is an executable statement. Its execution binds thefunction name in the current local namespace to a function object (a wrapperaround the executable code for the function). This function object contains areference to the current global namespace as the global namespace to be usedwhen the function is called.
The function definition does not execute the function body; this gets executedonly when the function is called.2
A function definition may be wrapped by one or moredecorator expressions.Decorator expressions are evaluated when the function is defined, in the scopethat contains the function definition. The result must be a callable, which isinvoked with the function object as the only argument. The returned value isbound to the function name instead of the function object. Multiple decoratorsare applied in nested fashion. For example, the following code
@f1(arg)@f2deffunc():pass
is roughly equivalent to
deffunc():passfunc=f1(arg)(f2(func))
except that the original function is not temporarily bound to the namefunc
.
Changed in version 3.9:Functions may be decorated with any validassignment_expression
.Previously, the grammar was much more restrictive; seePEP 614 fordetails.
When one or moreparameters have the formparameter=
expression, the function is said to have “default parameter values.” For aparameter with a default value, the correspondingargument may beomitted from a call, in whichcase the parameter’s default value is substituted. If a parameter has a defaultvalue, all following parameters up until the “*
” must also have a defaultvalue — this is a syntactic restriction that is not expressed by the grammar.
Default parameter values are evaluated from left to right when the functiondefinition is executed. This means that the expression is evaluated once, whenthe function is defined, and that the same “pre-computed” value is used for eachcall. This is especially important to understand when a default parameter is amutable object, such as a list or a dictionary: if the function modifies theobject (e.g. by appending an item to a list), the default value is in effectmodified. This is generally not what was intended. A way around this is to useNone
as the default, and explicitly test for it in the body of the function,e.g.:
defwhats_on_the_telly(penguin=None):ifpenguinisNone:penguin=[]penguin.append("property of the zoo")returnpenguin
Function call semantics are described in more detail in sectionCalls. Afunction call always assigns values to all parameters mentioned in the parameterlist, either from positional arguments, from keyword arguments, or from defaultvalues. If the form “*identifier
” is present, it is initialized to a tuplereceiving any excess positional parameters, defaulting to the empty tuple.If the form “**identifier
” is present, it is initialized to a newordered mapping receiving any excess keyword arguments, defaulting to anew empty mapping of the same type. Parameters after “*
” or“*identifier
” are keyword-only parameters and may only be passedby keyword arguments. Parameters before “/
” are positional-only parametersand may only be passed by positional arguments.
Changed in version 3.8:The/
function parameter syntax may be used to indicate positional-onlyparameters. SeePEP 570 for details.
Parameters may have anannotation of the form “:expression
”following the parameter name. Any parameter may have an annotation, even those of the form*identifier
or**identifier
. Functions may have “return” annotation ofthe form “->expression
” after the parameter list. These annotations can beany valid Python expression. The presence of annotations does not change thesemantics of a function. The annotation values are available as values ofa dictionary keyed by the parameters’ names in the__annotations__
attribute of the function object. If theannotations
import from__future__
is used, annotations are preserved as strings at runtime whichenables postponed evaluation. Otherwise, they are evaluated when the functiondefinition is executed. In this case annotations may be evaluated ina different order than they appear in the source code.
It is also possible to create anonymous functions (functions not bound to aname), for immediate use in expressions. This uses lambda expressions, described insectionLambdas. Note that the lambda expression is merely a shorthand for asimplified function definition; a function defined in a “def
”statement can be passed around or assigned to another name just like a functiondefined by a lambda expression. The “def
” form is actually more powerfulsince it allows the execution of multiple statements and annotations.
Programmer’s note: Functions are first-class objects. A “def
” statementexecuted inside a function definition defines a local function that can bereturned or passed around. Free variables used in the nested function canaccess the local variables of the function containing the def. See sectionNaming and binding for details.
See also
- PEP 3107 - Function Annotations
The original specification for function annotations.
- PEP 484 - Type Hints
Definition of a standard meaning for annotations: type hints.
- PEP 526 - Syntax for Variable Annotations
Ability to type hint variable declarations, including classvariables and instance variables
- PEP 563 - Postponed Evaluation of Annotations
Support for forward references within annotations by preservingannotations in a string form at runtime instead of eager evaluation.
8.7.Class definitions¶
A class definition defines a class object (see sectionThe standard type hierarchy):
classdef ::= [decorators
] "class"classname
[inheritance
] ":"suite
inheritance ::= "(" [argument_list
] ")"classname ::=identifier
A class definition is an executable statement. The inheritance list usuallygives a list of base classes (seeMetaclasses for more advanced uses), soeach item in the list should evaluate to a class object which allowssubclassing. Classes without an inheritance list inherit, by default, from thebase classobject
; hence,
classFoo:pass
is equivalent to
classFoo(object):pass
The class’s suite is then executed in a new execution frame (seeNaming and binding),using a newly created local namespace and the original global namespace.(Usually, the suite contains mostly function definitions.) When the class’ssuite finishes execution, its execution frame is discarded but its localnamespace is saved.3 A class object is then created using the inheritancelist for the base classes and the saved local namespace for the attributedictionary. The class name is bound to this class object in the original localnamespace.
The order in which attributes are defined in the class body is preservedin the new class’s__dict__
. Note that this is reliable only rightafter the class is created and only for classes that were defined usingthe definition syntax.
Class creation can be customized heavily usingmetaclasses.
Classes can also be decorated: just like when decorating functions,
@f1(arg)@f2classFoo:pass
is roughly equivalent to
classFoo:passFoo=f1(arg)(f2(Foo))
The evaluation rules for the decorator expressions are the same as for functiondecorators. The result is then bound to the class name.
Changed in version 3.9:Classes may be decorated with any validassignment_expression
.Previously, the grammar was much more restrictive; seePEP 614 fordetails.
Programmer’s note: Variables defined in the class definition are classattributes; they are shared by instances. Instance attributes can be set in amethod withself.name=value
. Both class and instance attributes areaccessible through the notation “self.name
”, and an instance attribute hidesa class attribute with the same name when accessed in this way. Classattributes can be used as defaults for instance attributes, but using mutablevalues there can lead to unexpected results.Descriptorscan be used to create instance variables with different implementation details.
See also
- PEP 3115 - Metaclasses in Python 3000
The proposal that changed the declaration of metaclasses to the currentsyntax, and the semantics for how classes with metaclasses areconstructed.
- PEP 3129 - Class Decorators
The proposal that added class decorators. Function and method decoratorswere introduced inPEP 318.
8.8.Coroutines¶
New in version 3.5.
8.8.1.Coroutine function definition¶
async_funcdef ::= [decorators
] "async" "def"funcname
"(" [parameter_list
] ")" ["->"expression
] ":"suite
Execution of Python coroutines can be suspended and resumed at many points(seecoroutine). Inside the body of a coroutine function,await
andasync
identifiers become reserved keywords;await
expressions,asyncfor
andasyncwith
can only be used incoroutine function bodies.
Functions defined withasyncdef
syntax are always coroutine functions,even if they do not containawait
orasync
keywords.
It is aSyntaxError
to use ayieldfrom
expression inside the bodyof a coroutine function.
An example of a coroutine function:
asyncdeffunc(param1,param2):do_stuff()awaitsome_coroutine()
8.8.2.Theasyncfor
statement¶
async_for_stmt ::= "async"for_stmt
Anasynchronous iterable provides an__aiter__
method that directlyreturns anasynchronous iterator, which can call asynchronous code inits__anext__
method.
Theasyncfor
statement allows convenient iteration over asynchronousiterables.
The following code:
asyncforTARGETinITER:SUITEelse:SUITE2
Is semantically equivalent to:
iter=(ITER)iter=type(iter).__aiter__(iter)running=Truewhilerunning:try:TARGET=awaittype(iter).__anext__(iter)exceptStopAsyncIteration:running=Falseelse:SUITEelse:SUITE2
See also__aiter__()
and__anext__()
for details.
It is aSyntaxError
to use anasyncfor
statement outside thebody of a coroutine function.
8.8.3.Theasyncwith
statement¶
async_with_stmt ::= "async"with_stmt
Anasynchronous context manager is acontext manager that isable to suspend execution in itsenter andexit methods.
The following code:
asyncwithEXPRESSIONasTARGET:SUITE
is semantically equivalent to:
manager=(EXPRESSION)aenter=type(manager).__aenter__aexit=type(manager).__aexit__value=awaitaenter(manager)hit_except=Falsetry:TARGET=valueSUITEexcept:hit_except=Trueifnotawaitaexit(manager,*sys.exc_info()):raisefinally:ifnothit_except:awaitaexit(manager,None,None,None)
See also__aenter__()
and__aexit__()
for details.
It is aSyntaxError
to use anasyncwith
statement outside thebody of a coroutine function.
See also
- PEP 492 - Coroutines with async and await syntax
The proposal that made coroutines a proper standalone concept in Python,and added supporting syntax.
Footnotes
- 1
The exception is propagated to the invocation stack unlessthere is a
finally
clause which happens to raise anotherexception. That new exception causes the old one to be lost.- 2
A string literal appearing as the first statement in the function body istransformed into the function’s
__doc__
attribute and therefore thefunction’sdocstring.- 3
A string literal appearing as the first statement in the class body istransformed into the namespace’s
__doc__
item and therefore the class’sdocstring.