4.Execution model

4.1.Structure of a program

A Python program is constructed from code blocks.Ablock is a piece of Python program text that is executed as a unit.The following are blocks: a module, a function body, and a class definition.Each command typed interactively is a block. A script file (a file given asstandard input to the interpreter or specified as a command line argument to theinterpreter) is a code block. A script command (a command specified on theinterpreter command line with the-c option) is a code block.A module run as a top level script (as module__main__) from the commandline using a-m argument is also a code block. The stringargument passed to the built-in functionseval() andexec() is acode block.

A code block is executed in anexecution frame. A frame contains someadministrative information (used for debugging) and determines where and howexecution continues after the code block’s execution has completed.

4.2.Naming and binding

4.2.1.Binding of names

Names refer to objects. Names are introduced by name binding operations.

The following constructs bind names:

  • formal parameters to functions,

  • class definitions,

  • function definitions,

  • assignment expressions,

  • targets that are identifiers if occurring inan assignment:

    • for loop header,

    • afteras in awith statement,exceptclause,except* clause, or in the as-pattern in structural pattern matching,

    • in a capture pattern in structural pattern matching

  • import statements.

  • type statements.

  • type parameter lists.

Theimport statement of the formfrom...import* binds allnames defined in the imported module, except those beginning with an underscore.This form may only be used at the module level.

A target occurring in adel statement is also considered bound forthis purpose (though the actual semantics are to unbind the name).

Each assignment or import statement occurs within a block defined by a class orfunction definition or at the module level (the top-level code block).

If a name is bound in a block, it is a local variable of that block, unlessdeclared asnonlocal orglobal. If a name is bound atthe module level, it is a global variable. (The variables of the module codeblock are local and global.) If a variable is used in a code block but notdefined there, it is afree variable.

Each occurrence of a name in the program text refers to thebinding ofthat name established by the following name resolution rules.

4.2.2.Resolution of names

Ascope defines the visibility of a name within a block. If a localvariable is defined in a block, its scope includes that block. If thedefinition occurs in a function block, the scope extends to any blocks containedwithin the defining one, unless a contained block introduces a different bindingfor the name.

When a name is used in a code block, it is resolved using the nearest enclosingscope. The set of all such scopes visible to a code block is called the block’senvironment.

When a name is not found at all, aNameError exception is raised.If the current scope is a function scope, and the name refers to a localvariable that has not yet been bound to a value at the point where the name isused, anUnboundLocalError exception is raised.UnboundLocalError is a subclass ofNameError.

If a name binding operation occurs anywhere within a code block, all uses of thename within the block are treated as references to the current block. This canlead to errors when a name is used within a block before it is bound. This ruleis subtle. Python lacks declarations and allows name binding operations tooccur anywhere within a code block. The local variables of a code block can bedetermined by scanning the entire text of the block for name binding operations.Seethe FAQ entry on UnboundLocalErrorfor examples.

If theglobal statement occurs within a block, all uses of the namesspecified in the statement refer to the bindings of those names in the top-levelnamespace. Names are resolved in the top-level namespace by searching theglobal namespace, i.e. the namespace of the module containing the code block,and the builtins namespace, the namespace of the modulebuiltins. Theglobal namespace is searched first. If the names are not found there, thebuiltins namespace is searched next. If the names are also not found in thebuiltins namespace, new variables are created in the global namespace.The global statement must precede all uses of the listed names.

Theglobal statement has the same scope as a name binding operationin the same block. If the nearest enclosing scope for a free variable containsa global statement, the free variable is treated as a global.

Thenonlocal statement causes corresponding names to referto previously bound variables in the nearest enclosing function scope.SyntaxError is raised at compile time if the given name does notexist in any enclosing function scope.Type parameterscannot be rebound with thenonlocal statement.

The namespace for a module is automatically created the first time a module isimported. The main module for a script is always called__main__.

Class definition blocks and arguments toexec() andeval() arespecial in the context of name resolution.A class definition is an executable statement that may use and define names.These references follow the normal rules for name resolution with an exceptionthat unbound local variables are looked up in the global namespace.The namespace of the class definition becomes the attribute dictionary ofthe class. The scope of names defined in a class block is limited to theclass block; it does not extend to the code blocks of methods. This includescomprehensions and generator expressions, but it does not includeannotation scopes,which have access to their enclosing class scopes.This means that the following will fail:

classA:a=42b=list(a+iforiinrange(10))

However, the following will succeed:

classA:typeAlias=NestedclassNested:passprint(A.Alias.__value__)# <type 'A.Nested'>

4.2.3.Annotation scopes

Type parameter lists andtype statementsintroduceannotation scopes, which behave mostly like function scopes,but with some exceptions discussed below.Annotationscurrently do not use annotation scopes, but they are expected to useannotation scopes in Python 3.13 whenPEP 649 is implemented.

Annotation scopes are used in the following contexts:

  • Type parameter lists forgeneric type aliases.

  • Type parameter lists forgeneric functions.A generic function’s annotations areexecuted within the annotation scope, but its defaults and decorators are not.

  • Type parameter lists forgeneric classes.A generic class’s base classes andkeyword arguments are executed within the annotation scope, but its decorators are not.

  • The bounds, constraints, and default values for type parameters(lazily evaluated).

  • The value of type aliases (lazily evaluated).

Annotation scopes differ from function scopes in the following ways:

  • Annotation scopes have access to their enclosing class namespace.If an annotation scope is immediately within a class scope, or within anotherannotation scope that is immediately within a class scope, the code in theannotation scope can use names defined in the class scope as if it wereexecuted directly within the class body. This contrasts with regularfunctions defined within classes, which cannot access names defined in the class scope.

  • Expressions in annotation scopes cannot containyield,yieldfrom,await, or:=expressions. (These expressions are allowed in other scopes contained within theannotation scope.)

  • Names defined in annotation scopes cannot be rebound withnonlocalstatements in inner scopes. This includes only type parameters, as no othersyntactic elements that can appear within annotation scopes can introduce new names.

  • While annotation scopes have an internal name, that name is not reflected in thequalified name of objects defined within the scope.Instead, the__qualname__of such objects is as if the object were defined in the enclosing scope.

Added in version 3.12:Annotation scopes were introduced in Python 3.12 as part ofPEP 695.

Changed in version 3.13:Annotation scopes are also used for type parameter defaults, asintroduced byPEP 696.

4.2.4.Lazy evaluation

The values of type aliases created through thetype statement arelazily evaluated. The same applies to the bounds, constraints, and default values of typevariables created through thetype parameter syntax.This means that they are not evaluated when the type alias or type variable iscreated. Instead, they are only evaluated when doing so is necessary to resolvean attribute access.

Example:

>>>typeAlias=1/0>>>Alias.__value__Traceback (most recent call last):...ZeroDivisionError:division by zero>>>deffunc[T:1/0]():pass>>>T=func.__type_params__[0]>>>T.__bound__Traceback (most recent call last):...ZeroDivisionError:division by zero

Here the exception is raised only when the__value__ attributeof the type alias or the__bound__ attribute of the type variableis accessed.

This behavior is primarily useful for references to types that have notyet been defined when the type alias or type variable is created. For example,lazy evaluation enables creation of mutually recursive type aliases:

fromtypingimportLiteraltypeSimpleExpr=int|ParenthesizedtypeParenthesized=tuple[Literal["("],Expr,Literal[")"]]typeExpr=SimpleExpr|tuple[SimpleExpr,Literal["+","-"],Expr]

Lazily evaluated values are evaluated inannotation scope,which means that names that appear inside the lazily evaluated value are looked upas if they were used in the immediately enclosing scope.

Added in version 3.12.

4.2.5.Builtins and restricted execution

CPython implementation detail: Users should not touch__builtins__; it is strictly an implementationdetail. Users wanting to override values in the builtins namespace shouldimport thebuiltins module and modify itsattributes appropriately.

The builtins namespace associated with the execution of a code blockis actually found by looking up the name__builtins__ in itsglobal namespace; this should be a dictionary or a module (in thelatter case the module’s dictionary is used). By default, when in the__main__ module,__builtins__ is the built-in modulebuiltins; when in any other module,__builtins__ is analias for the dictionary of thebuiltins module itself.

4.2.6.Interaction with dynamic features

Name resolution of free variables occurs at runtime, not at compile time.This means that the following code will print 42:

i=10deff():print(i)i=42f()

Theeval() andexec() functions do not have access to the fullenvironment for resolving names. Names may be resolved in the local and globalnamespaces of the caller. Free variables are not resolved in the nearestenclosing namespace, but in the global namespace.[1] Theexec() andeval() functions have optional arguments to override the global and localnamespace. If only one namespace is specified, it is used for both.

4.3.Exceptions

Exceptions are a means of breaking out of the normal flow of control of a codeblock in order to handle errors or other exceptional conditions. An exceptionisraised at the point where the error is detected; it may behandled by thesurrounding code block or by any code block that directly or indirectly invokedthe code block where the error occurred.

The Python interpreter raises an exception when it detects a run-time error(such as division by zero). A Python program can also explicitly raise anexception with theraise statement. Exception handlers are specifiedwith thetryexcept statement. Thefinallyclause of such a statement can be used to specify cleanup code which does nothandle the exception, but is executed whether an exception occurred or not inthe preceding code.

Python uses the “termination” model of error handling: an exception handler canfind out what happened and continue execution at an outer level, but it cannotrepair the cause of the error and retry the failing operation (except byre-entering the offending piece of code from the top).

When an exception is not handled at all, the interpreter terminates execution ofthe program, or returns to its interactive main loop. In either case, it printsa stack traceback, except when the exception isSystemExit.

Exceptions are identified by class instances. Theexcept clause isselected depending on the class of the instance: it must reference the class ofthe instance or anon-virtual base class thereof.The instance can be received by the handler and can carry additional informationabout the exceptional condition.

Note

Exception messages are not part of the Python API. Their contents may changefrom one version of Python to the next without warning and should not berelied on by code which will run under multiple versions of the interpreter.

See also the description of thetry statement in sectionThe try statementandraise statement in sectionThe raise statement.

Footnotes

[1]

This limitation occurs because the code that is executed by these operationsis not available at the time the module is compiled.