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# Simple statements {#simple}
::: index
pair: simple; statement
:::
A simple statement is comprised within a single logical line. Several simple statements may occur on a single line separated by semicolons. The syntax for simple statements is:
::: productionlist
python-grammar simple_stmt: [expression_stmt]{.title-ref} : \| [assert_stmt]{.title-ref} : \| [assignment_stmt]{.title-ref} : \| [augmented_assignment_stmt]{.title-ref} : \| [annotated_assignment_stmt]{.title-ref} : \| [pass_stmt]{.title-ref} : \| [del_stmt]{.title-ref} : \| [return_stmt]{.title-ref} : \| [yield_stmt]{.title-ref} : \| [raise_stmt]{.title-ref} : \| [break_stmt]{.title-ref} : \| [continue_stmt]{.title-ref} : \| [import_stmt]{.title-ref} : \| [future_stmt]{.title-ref} : \| [global_stmt]{.title-ref} : \| [nonlocal_stmt]{.title-ref} : \| [type_stmt]{.title-ref}
:::
## Expression statements {#exprstmts}
::: index
pair: expression; statement pair: expression; list
:::
::: index
pair: expression; list
:::
Expression statements are used (mostly interactively) to compute and write a value, or (usually) to call a procedure (a function that returns no meaningful result; in Python, procedures return the value `None`). Other uses of expression statements are allowed and occasionally useful. The syntax for an expression statement is:
::: productionlist
python-grammar expression_stmt: [starred_expression]{.title-ref}
:::
An expression statement evaluates the expression list (which may be a single expression).
::: index
pair: built-in function; repr pair: object; None pair: string; conversion single: output pair: standard; output pair: writing; values pair: procedure; call
:::
In interactive mode, if the value is not `None`, it is converted to a string using the built-in `repr`{.interpreted-text role="func"} function and the resulting string is written to standard output on a line by itself (except if the result is `None`, so that procedure calls do not cause any output.)
## Assignment statements {#assignment}
::: index
single: = (equals); assignment statement pair: assignment; statement pair: binding; name pair: rebinding; name pair: object; mutable pair: attribute; assignment
:::
Assignment statements are used to (re)bind names to values and to modify attributes or items of mutable objects:
::: productionlist
python-grammar assignment_stmt: ([target_list]{.title-ref} \"=\")+ ([starred_expression]{.title-ref} \| [yield_expression]{.title-ref}) target_list: [target]{.title-ref} (\",\" [target]{.title-ref})\* \[\",\"\] target: [identifier]{.title-ref} : \| \"(\" \[[target_list]{.title-ref}\] \")\" : \| \"\[\" \[[target_list]{.title-ref}\] \"\]\" : \| [attributeref]{.title-ref} : \| [subscription]{.title-ref} : \| \"\*\" [target]{.title-ref}
:::
(See section `primaries`{.interpreted-text role="ref"} for the syntax definitions for *attributeref* and *subscription*.)
An assignment statement evaluates the expression list (remember that this can be a single expression or a comma-separated list, the latter yielding a tuple) and assigns the single resulting object to each of the target lists, from left to right.
::: index
single: target pair: target; list
:::
Assignment is defined recursively depending on the form of the target (list). When a target is part of a mutable object (an attribute reference or subscription), the mutable object must ultimately perform the assignment and decide about its validity, and may raise an exception if the assignment is unacceptable. The rules observed by various types and the exceptions raised are given with the definition of the object types (see section `types`{.interpreted-text role="ref"}).
::: index
triple: target; list; assignment single: , (comma); in target list single: \* (asterisk); in assignment target list single: \[\] (square brackets); in assignment target list single: () (parentheses); in assignment target list
:::
Assignment of an object to a target list, optionally enclosed in parentheses or square brackets, is recursively defined as follows.
- If the target list is a single target with no trailing comma, optionally in parentheses, the object is assigned to that target.
- Else:
- If the target list contains one target prefixed with an asterisk, called a \"starred\" target: The object must be an iterable with at least as many items as there are targets in the target list, minus one. The first items of the iterable are assigned, from left to right, to the targets before the starred target. The final items of the iterable are assigned to the targets after the starred target. A list of the remaining items in the iterable is then assigned to the starred target (the list can be empty).
- Else: The object must be an iterable with the same number of items as there are targets in the target list, and the items are assigned, from left to right, to the corresponding targets.
Assignment of an object to a single target is recursively defined as follows.
- If the target is an identifier (name):
- If the name does not occur in a `global`{.interpreted-text role="keyword"} or `nonlocal`{.interpreted-text role="keyword"} statement in the current code block: the name is bound to the object in the current local namespace.
- Otherwise: the name is bound to the object in the global namespace or the outer namespace determined by `nonlocal`{.interpreted-text role="keyword"}, respectively.
::: index
single: destructor
:::
The name is rebound if it was already bound. This may cause the reference count for the object previously bound to the name to reach zero, causing the object to be deallocated and its destructor (if it has one) to be called.
::: index
pair: attribute; assignment
:::
- If the target is an attribute reference: The primary expression in the reference is evaluated. It should yield an object with assignable attributes; if this is not the case, `TypeError`{.interpreted-text role="exc"} is raised. That object is then asked to assign the assigned object to the given attribute; if it cannot perform the assignment, it raises an exception (usually but not necessarily `AttributeError`{.interpreted-text role="exc"}).
::: {#attr-target-note}
Note: If the object is a class instance and the attribute reference occurs on both sides of the assignment operator, the right-hand side expression, `a.x` can access either an instance attribute or (if no instance attribute exists) a class attribute. The left-hand side target `a.x` is always set as an instance attribute, creating it if necessary. Thus, the two occurrences of `a.x` do not necessarily refer to the same attribute: if the right-hand side expression refers to a class attribute, the left-hand side creates a new instance attribute as the target of the assignment:
class Cls:
x = 3 # class variable
inst = Cls()
inst.x = inst.x + 1 # writes inst.x as 4 leaving Cls.x as 3
:::
This description does not necessarily apply to descriptor attributes, such as properties created with `property`{.interpreted-text role="func"}.
::: index
pair: subscription; assignment pair: object; mutable
:::
- If the target is a subscription: The primary expression in the reference is evaluated. Next, the subscript expression is evaluated. Then, the primary\'s `~object.__setitem__`{.interpreted-text role="meth"} method is called with two arguments: the subscript and the assigned object.
Typically, `~object.__setitem__`{.interpreted-text role="meth"} is defined on mutable sequence objects (such as lists) and mapping objects (such as dictionaries), and behaves as follows.
::: index
pair: object; sequence pair: object; list
:::
If the primary is a mutable sequence object (such as a list), the subscript must yield an integer. If it is negative, the sequence\'s length is added to it. The resulting value must be a nonnegative integer less than the sequence\'s length, and the sequence is asked to assign the assigned object to its item with that index. If the index is out of range, `IndexError`{.interpreted-text role="exc"} is raised (assignment to a subscripted sequence cannot add new items to a list).
::: index
pair: object; mapping pair: object; dictionary
:::
If the primary is a mapping object (such as a dictionary), the subscript must have a type compatible with the mapping\'s key type, and the mapping is then asked to create a key/value pair which maps the subscript to the assigned object. This can either replace an existing key/value pair with the same key value, or insert a new key/value pair (if no key with the same value existed).
::: index
pair: slicing; assignment
:::
If the target is a slicing: The primary expression should evaluate to a mutable sequence object (such as a list). The assigned object should be `iterable`{.interpreted-text role="term"}. The slicing\'s lower and upper bounds should be integers; if they are `None` (or not present), the defaults are zero and the sequence\'s length. If either bound is negative, the sequence\'s length is added to it. The resulting bounds are clipped to lie between zero and the sequence\'s length, inclusive. Finally, the sequence object is asked to replace the slice with the items of the assigned sequence. The length of the slice may be different from the length of the assigned sequence, thus changing the length of the target sequence, if the target sequence allows it.
Although the definition of assignment implies that overlaps between the left-hand side and the right-hand side are \'simultaneous\' (for example `a, b = b, a` swaps two variables), overlaps *within* the collection of assigned-to variables occur left-to-right, sometimes resulting in confusion. For instance, the following program prints `[0, 2]`:
x = [0, 1]
i = 0
i, x[i] = 1, 2 # i is updated, then x[i] is updated
print(x)
::: seealso
`3132`{.interpreted-text role="pep"} - Extended Iterable Unpacking
: The specification for the `*target` feature.
:::
### Augmented assignment statements {#augassign}
::: index
pair: augmented; assignment single: statement; assignment, augmented single: +=; augmented assignment single: -=; augmented assignment single: *=; augmented assignment single: /=; augmented assignment single: %=; augmented assignment single: &=; augmented assignment single: \^=; augmented assignment single: \|=; augmented assignment single:*\*=; augmented assignment single: //=; augmented assignment single: \>\>=; augmented assignment single: \<\<=; augmented assignment
:::
Augmented assignment is the combination, in a single statement, of a binary operation and an assignment statement:
::: productionlist
python-grammar augmented_assignment_stmt: [augtarget]{.title-ref} [augop]{.title-ref} ([expression_list]{.title-ref} \| [yield_expression]{.title-ref}) augtarget: [identifier]{.title-ref} \| [attributeref]{.title-ref} \| [subscription]{.title-ref} augop: \"+=\" \| \"-=\" \| \"\*=\" \| \"@=\" \| \"/=\" \| \"//=\" \| \"%=\" \| \"\*\*=\" : \| \"\>\>=\" \| \"\<\<=\" \| \"&=\" \| \"\^=\" \| \"\|=\"
:::
(See section `primaries`{.interpreted-text role="ref"} for the syntax definitions of the last three symbols.)
An augmented assignment evaluates the target (which, unlike normal assignment statements, cannot be an unpacking) and the expression list, performs the binary operation specific to the type of assignment on the two operands, and assigns the result to the original target. The target is only evaluated once.
An augmented assignment statement like `x += 1` can be rewritten as `x = x + 1` to achieve a similar, but not exactly equal effect. In the augmented version, `x` is only evaluated once. Also, when possible, the actual operation is performed *in-place*, meaning that rather than creating a new object and assigning that to the target, the old object is modified instead.
Unlike normal assignments, augmented assignments evaluate the left-hand side *before* evaluating the right-hand side. For example, `a[i] += f(x)` first looks-up `a[i]`, then it evaluates `f(x)` and performs the addition, and lastly, it writes the result back to `a[i]`.
With the exception of assigning to tuples and multiple targets in a single statement, the assignment done by augmented assignment statements is handled the same way as normal assignments. Similarly, with the exception of the possible *in-place* behavior, the binary operation performed by augmented assignment is the same as the normal binary operations.
For targets which are attribute references, the same `caveat about class
and instance attributes <attr-target-note>`{.interpreted-text role="ref"} applies as for regular assignments.
### Annotated assignment statements {#annassign}
::: index
pair: annotated; assignment single: statement; assignment, annotated single: : (colon); annotated variable
:::
`Annotation <variable annotation>`{.interpreted-text role="term"} assignment is the combination, in a single statement, of a variable or attribute annotation and an optional assignment statement:
::: productionlist
python-grammar annotated_assignment_stmt: [augtarget]{.title-ref} \":\" [expression]{.title-ref} : \[\"=\" ([starred_expression]{.title-ref} \| [yield_expression]{.title-ref})\]
:::
The difference from normal `assignment`{.interpreted-text role="ref"} is that only a single target is allowed.
The assignment target is considered \"simple\" if it consists of a single name that is not enclosed in parentheses. For simple assignment targets, if in class or module scope, the annotations are gathered in a lazily evaluated `annotation scope <annotation-scopes>`{.interpreted-text role="ref"}. The annotations can be evaluated using the `~object.__annotations__`{.interpreted-text role="attr"} attribute of a class or module, or using the facilities in the `annotationlib`{.interpreted-text role="mod"} module.
If the assignment target is not simple (an attribute, subscript node, or parenthesized name), the annotation is never evaluated.
If a name is annotated in a function scope, then this name is local for that scope. Annotations are never evaluated and stored in function scopes.
If the right hand side is present, an annotated assignment performs the actual assignment as if there was no annotation present. If the right hand side is not present for an expression target, then the interpreter evaluates the target except for the last `~object.__setitem__`{.interpreted-text role="meth"} or `~object.__setattr__`{.interpreted-text role="meth"} call.
::: seealso
`526`{.interpreted-text role="pep"} - Syntax for Variable Annotations
: The proposal that added syntax for annotating the types of variables (including class variables and instance variables), instead of expressing them through comments.
`484`{.interpreted-text role="pep"} - Type hints
: The proposal that added the `typing`{.interpreted-text role="mod"} module to provide a standard syntax for type annotations that can be used in static analysis tools and IDEs.
:::
::: versionchanged
3.8 Now annotated assignments allow the same expressions in the right hand side as regular assignments. Previously, some expressions (like un-parenthesized tuple expressions) caused a syntax error.
:::
::: versionchanged
3.14 Annotations are now lazily evaluated in a separate `annotation scope <annotation-scopes>`{.interpreted-text role="ref"}. If the assignment target is not simple, annotations are never evaluated.
:::
## The `!assert`{.interpreted-text role="keyword"} statement {#assert}
::: index
! pair: statement; assert pair: debugging; assertions single: , (comma); expression list
:::
Assert statements are a convenient way to insert debugging assertions into a program:
::: productionlist
python-grammar assert_stmt: \"assert\" [expression]{.title-ref} \[\",\" [expression]{.title-ref}\]
:::
The simple form, `assert expression`, is equivalent to :
if __debug__:
if not expression: raise AssertionError
The extended form, `assert expression1, expression2`, is equivalent to :
if __debug__:
if not expression1: raise AssertionError(expression2)
::: index
single: \_\_debug\_\_ pair: exception; AssertionError
:::
These equivalences assume that `__debug__`{.interpreted-text role="const"} and `AssertionError`{.interpreted-text role="exc"} refer to the built-in variables with those names. In the current implementation, the built-in variable `__debug__` is `True` under normal circumstances, `False` when optimization is requested (command line option `-O`{.interpreted-text role="option"}). The current code generator emits no code for an `assert`{.interpreted-text role="keyword"} statement when optimization is requested at compile time. Note that it is unnecessary to include the source code for the expression that failed in the error message; it will be displayed as part of the stack trace.
Assignments to `__debug__`{.interpreted-text role="const"} are illegal. The value for the built-in variable is determined when the interpreter starts.
## The `!pass`{.interpreted-text role="keyword"} statement {#pass}
::: index
pair: statement; pass pair: null; operation pair: null; operation
:::
::: productionlist
python-grammar pass_stmt: \"pass\"
:::
`pass`{.interpreted-text role="keyword"} is a null operation \-\-- when it is executed, nothing happens. It is useful as a placeholder when a statement is required syntactically, but no code needs to be executed, for example:
def f(arg): pass # a function that does nothing (yet)
class C: pass # a class with no methods (yet)
## The `!del`{.interpreted-text role="keyword"} statement {#del}
::: index
! pair: statement; del pair: deletion; target triple: deletion; target; list
:::
::: productionlist
python-grammar del_stmt: \"del\" [target_list]{.title-ref}
:::
Deletion is recursively defined very similar to the way assignment is defined. Rather than spelling it out in full details, here are some hints.
Deletion of a target list recursively deletes each target, from left to right.
::: index
pair: statement; global pair: unbinding; name
:::
Deletion of a name removes the binding of that name from the local or global namespace, depending on whether the name occurs in a `global`{.interpreted-text role="keyword"} statement in the same code block. Trying to delete an unbound name raises a `NameError`{.interpreted-text role="exc"} exception.
::: index
pair: attribute; deletion
:::
Deletion of attribute references and subscriptions is passed to the primary object involved; deletion of a slicing is in general equivalent to assignment of an empty slice of the right type (but even this is determined by the sliced object).
::: versionchanged
3.2 Previously it was illegal to delete a name from the local namespace if it occurs as a free variable in a nested block.
:::
## The `!return`{.interpreted-text role="keyword"} statement {#return}
::: index
! pair: statement; return pair: function; definition pair: class; definition
:::
::: productionlist
python-grammar return_stmt: \"return\" \[[expression_list]{.title-ref}\]
:::
`return`{.interpreted-text role="keyword"} may only occur syntactically nested in a function definition, not within a nested class definition.
If an expression list is present, it is evaluated, else `None` is substituted.
`return`{.interpreted-text role="keyword"} leaves the current function call with the expression list (or `None`) as return value.
::: index
pair: keyword; finally
:::
When `return`{.interpreted-text role="keyword"} passes control out of a `try`{.interpreted-text role="keyword"} statement with a `finally`{.interpreted-text role="keyword"} clause, that `!finally`{.interpreted-text role="keyword"} clause is executed before really leaving the function.
In a generator function, the `return`{.interpreted-text role="keyword"} statement indicates that the generator is done and will cause `StopIteration`{.interpreted-text role="exc"} to be raised. The returned value (if any) is used as an argument to construct `StopIteration`{.interpreted-text role="exc"} and becomes the `StopIteration.value`{.interpreted-text role="attr"} attribute.
In an asynchronous generator function, an empty `return`{.interpreted-text role="keyword"} statement indicates that the asynchronous generator is done and will cause `StopAsyncIteration`{.interpreted-text role="exc"} to be raised. A non-empty `!return`{.interpreted-text role="keyword"} statement is a syntax error in an asynchronous generator function.
## The `!yield`{.interpreted-text role="keyword"} statement {#yield}
::: index
pair: statement; yield single: generator; function single: generator; iterator single: function; generator pair: exception; StopIteration
:::
::: productionlist
python-grammar yield_stmt: [yield_expression]{.title-ref}
:::
A `yield`{.interpreted-text role="keyword"} statement is semantically equivalent to a `yield
expression <yieldexpr>`{.interpreted-text role="ref"}. The `yield` statement can be used to omit the parentheses that would otherwise be required in the equivalent yield expression statement. For example, the yield statements :
yield <expr>
yield from <expr>
are equivalent to the yield expression statements :
(yield <expr>)
(yield from <expr>)
Yield expressions and statements are only used when defining a `generator`{.interpreted-text role="term"} function, and are only used in the body of the generator function. Using `yield`{.interpreted-text role="keyword"} in a function definition is sufficient to cause that definition to create a generator function instead of a normal function.
For full details of `yield`{.interpreted-text role="keyword"} semantics, refer to the `yieldexpr`{.interpreted-text role="ref"} section.
## The `!raise`{.interpreted-text role="keyword"} statement {#raise}
::: index
! pair: statement; raise single: exception pair: raising; exception single: \_\_traceback\_\_ (exception attribute)
:::
::: productionlist
python-grammar raise_stmt: \"raise\" \[[expression]{.title-ref} \[\"from\" [expression]{.title-ref}\]\]
:::
If no expressions are present, `raise`{.interpreted-text role="keyword"} re-raises the exception that is currently being handled, which is also known as the *active exception*. If there isn\'t currently an active exception, a `RuntimeError`{.interpreted-text role="exc"} exception is raised indicating that this is an error.
Otherwise, `raise`{.interpreted-text role="keyword"} evaluates the first expression as the exception object. It must be either a subclass or an instance of `BaseException`{.interpreted-text role="class"}. If it is a class, the exception instance will be obtained when needed by instantiating the class with no arguments.
The `type`{.interpreted-text role="dfn"} of the exception is the exception instance\'s class, the `value`{.interpreted-text role="dfn"} is the instance itself.
::: index
pair: object; traceback
:::
A traceback object is normally created automatically when an exception is raised and attached to it as the `~BaseException.__traceback__`{.interpreted-text role="attr"} attribute. You can create an exception and set your own traceback in one step using the `~BaseException.with_traceback`{.interpreted-text role="meth"} exception method (which returns the same exception instance, with its traceback set to its argument), like so:
raise Exception("foo occurred").with_traceback(tracebackobj)
::: index
pair: exception; chaining \_\_cause\_\_ (exception attribute) \_\_context\_\_ (exception attribute)
:::
The `from` clause is used for exception chaining: if given, the second *expression* must be another exception class or instance. If the second expression is an exception instance, it will be attached to the raised exception as the `~BaseException.__cause__`{.interpreted-text role="attr"} attribute (which is writable). If the expression is an exception class, the class will be instantiated and the resulting exception instance will be attached to the raised exception as the `!__cause__`{.interpreted-text role="attr"} attribute. If the raised exception is not handled, both exceptions will be printed:
``` pycon
>>> try:
... print(1 / 0)
... except Exception as exc:
... raise RuntimeError("Something bad happened") from exc
...
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
print(1 / 0)
~~^~~
ZeroDivisionError: division by zero
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "<stdin>", line 4, in <module>
raise RuntimeError("Something bad happened") from exc
RuntimeError: Something bad happened
```
A similar mechanism works implicitly if a new exception is raised when an exception is already being handled. An exception may be handled when an `except`{.interpreted-text role="keyword"} or `finally`{.interpreted-text role="keyword"} clause, or a `with`{.interpreted-text role="keyword"} statement, is used. The previous exception is then attached as the new exception\'s `~BaseException.__context__`{.interpreted-text role="attr"} attribute:
``` pycon
>>> try:
... print(1 / 0)
... except:
... raise RuntimeError("Something bad happened")
...
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
print(1 / 0)
~~^~~
ZeroDivisionError: division by zero
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 4, in <module>
raise RuntimeError("Something bad happened")
RuntimeError: Something bad happened
```
Exception chaining can be explicitly suppressed by specifying `None`{.interpreted-text role="const"} in the `from` clause:
::: doctest
\>\>\> try: \... print(1 / 0) \... except: \... raise RuntimeError(\"Something bad happened\") from None \... Traceback (most recent call last): File \"\<stdin\>\", line 4, in \<module\> RuntimeError: Something bad happened
:::
Additional information on exceptions can be found in section `exceptions`{.interpreted-text role="ref"}, and information about handling exceptions is in section `try`{.interpreted-text role="ref"}.
::: versionchanged
3.3 `None`{.interpreted-text role="const"} is now permitted as `Y` in `raise X from Y`.
Added the `~BaseException.__suppress_context__`{.interpreted-text role="attr"} attribute to suppress automatic display of the exception context.
:::
::: versionchanged
3.11 If the traceback of the active exception is modified in an `except`{.interpreted-text role="keyword"} clause, a subsequent `raise` statement re-raises the exception with the modified traceback. Previously, the exception was re-raised with the traceback it had when it was caught.
:::
## The `!break`{.interpreted-text role="keyword"} statement {#break}
::: index
! pair: statement; break pair: statement; for pair: statement; while pair: loop; statement
:::
::: productionlist
python-grammar break_stmt: \"break\"
:::
`break`{.interpreted-text role="keyword"} may only occur syntactically nested in a `for`{.interpreted-text role="keyword"} or `while`{.interpreted-text role="keyword"} loop, but not nested in a function or class definition within that loop.
::: index
pair: keyword; else pair: loop control; target
:::
It terminates the nearest enclosing loop, skipping the optional `!else`{.interpreted-text role="keyword"} clause if the loop has one.
If a `for`{.interpreted-text role="keyword"} loop is terminated by `break`{.interpreted-text role="keyword"}, the loop control target keeps its current value.
::: index
pair: keyword; finally
:::
When `break`{.interpreted-text role="keyword"} passes control out of a `try`{.interpreted-text role="keyword"} statement with a `finally`{.interpreted-text role="keyword"} clause, that `!finally`{.interpreted-text role="keyword"} clause is executed before really leaving the loop.
## The `!continue`{.interpreted-text role="keyword"} statement {#continue}
::: index
! pair: statement; continue pair: statement; for pair: statement; while pair: loop; statement pair: keyword; finally
:::
::: productionlist
python-grammar continue_stmt: \"continue\"
:::
`continue`{.interpreted-text role="keyword"} may only occur syntactically nested in a `for`{.interpreted-text role="keyword"} or `while`{.interpreted-text role="keyword"} loop, but not nested in a function or class definition within that loop. It continues with the next cycle of the nearest enclosing loop.
When `continue`{.interpreted-text role="keyword"} passes control out of a `try`{.interpreted-text role="keyword"} statement with a `finally`{.interpreted-text role="keyword"} clause, that `!finally`{.interpreted-text role="keyword"} clause is executed before really starting the next loop cycle.
## The `!import`{.interpreted-text role="keyword"} statement[]{#import} {#from}
::: index
! pair: statement; import single: module; importing pair: name; binding pair: keyword; from pair: keyword; as pair: keyword; lazy pair: exception; ImportError single: , (comma); import statement
:::
::: productionlist
python-grammar import_stmt: \[\"lazy\"\] \"import\" [module]{.title-ref} \[\"as\" [identifier]{.title-ref}\] (\",\" [module]{.title-ref} \[\"as\" [identifier]{.title-ref}\])\* : \| \[\"lazy\"\] \"from\" [relative_module]{.title-ref} \"import\" [identifier]{.title-ref} \[\"as\" [identifier]{.title-ref}\] : (\",\" [identifier]{.title-ref} \[\"as\" [identifier]{.title-ref}\])\* : \| \[\"lazy\"\] \"from\" [relative_module]{.title-ref} \"import\" \"(\" [identifier]{.title-ref} \[\"as\" [identifier]{.title-ref}\] : (\",\" [identifier]{.title-ref} \[\"as\" [identifier]{.title-ref}\])\* \[\",\"\] \")\" : \| \"from\" [relative_module]{.title-ref} \"import\" \"\*\" module: ([identifier]{.title-ref} \".\")\* [identifier]{.title-ref} relative_module: \".\"\* [module]{.title-ref} \| \".\"+
:::
The basic import statement (no `from`{.interpreted-text role="keyword"} clause) is executed in two steps:
1. find a module, loading and initializing it if necessary
2. define a name or names in the local namespace for the scope where the `import`{.interpreted-text role="keyword"} statement occurs.
When the statement contains multiple clauses (separated by commas) the two steps are carried out separately for each clause, just as though the clauses had been separated out into individual import statements.
The details of the first step, finding and loading modules, are described in greater detail in the section on the `import system <importsystem>`{.interpreted-text role="ref"}, which also describes the various types of packages and modules that can be imported, as well as all the hooks that can be used to customize the import system. Note that failures in this step may indicate either that the module could not be located, *or* that an error occurred while initializing the module, which includes execution of the module\'s code.
If the requested module is retrieved successfully, it will be made available in the local namespace in one of three ways:
::: index
single: as; import statement
:::
- If the module name is followed by `!as`{.interpreted-text role="keyword"}, then the name following `!as`{.interpreted-text role="keyword"} is bound directly to the imported module.
- If no other name is specified, and the module being imported is a top level module, the module\'s name is bound in the local namespace as a reference to the imported module
- If the module being imported is *not* a top level module, then the name of the top level package that contains the module is bound in the local namespace as a reference to the top level package. The imported module must be accessed using its full qualified name rather than directly
::: index
pair: name; binding single: from; import statement
:::
The `from`{.interpreted-text role="keyword"} form uses a slightly more complex process:
1. find the module specified in the `from`{.interpreted-text role="keyword"} clause, loading and initializing it if necessary;
2. for each of the identifiers specified in the `import`{.interpreted-text role="keyword"} clauses:
1. check if the imported module has an attribute by that name
2. if not, attempt to import a submodule with that name and then check the imported module again for that attribute
3. if the attribute is not found, `ImportError`{.interpreted-text role="exc"} is raised.
4. otherwise, a reference to that value is stored in the local namespace, using the name in the `!as`{.interpreted-text role="keyword"} clause if it is present, otherwise using the attribute name
Examples:
import foo # foo imported and bound locally
import foo.bar.baz # foo, foo.bar, and foo.bar.baz imported, foo bound locally
import foo.bar.baz as fbb # foo, foo.bar, and foo.bar.baz imported, foo.bar.baz bound as fbb
from foo.bar import baz # foo, foo.bar, and foo.bar.baz imported, foo.bar.baz bound as baz
from foo import attr # foo imported and foo.attr bound as attr
::: index
single: \* (asterisk); import statement
:::
If the list of identifiers is replaced by a star (`'*'`), all public names defined in the module are bound in the local namespace for the scope where the `import`{.interpreted-text role="keyword"} statement occurs.
::: index
single: \_\_all\_\_ (optional module attribute)
:::
::: {.attribute no-typesetting=""}
module.\_\_all\_\_
:::
The *public names* defined by a module are determined by checking the module\'s namespace for a variable named `__all__`; if defined, it must be a sequence of strings which are names defined or imported by that module. Names containing non-ASCII characters must be in the [normalization form](https://www.unicode.org/reports/tr15/#Norm_Forms) NFKC; see `lexical-names-nonascii`{.interpreted-text role="ref"} for details. The names given in `__all__` are all considered public and are required to exist. If `__all__` is not defined, the set of public names includes all names found in the module\'s namespace which do not begin with an underscore character (`'_'`). `__all__` should contain the entire public API. It is intended to avoid accidentally exporting items that are not part of the API (such as library modules which were imported and used within the module).
The wild card form of import \-\-- `from module import *` \-\-- is only allowed at the module level. Attempting to use it in class or function definitions will raise a `SyntaxError`{.interpreted-text role="exc"}.
::: index
single: relative; import
:::
When specifying what module to import you do not have to specify the absolute name of the module. When a module or package is contained within another package it is possible to make a relative import within the same top package without having to mention the package name. By using leading dots in the specified module or package after `from`{.interpreted-text role="keyword"} you can specify how high to traverse up the current package hierarchy without specifying exact names. One leading dot means the current package where the module making the import exists. Two dots means up one package level. Three dots is up two levels, etc. So if you execute `from . import mod` from a module in the `pkg` package then you will end up importing `pkg.mod`. If you execute `from ..subpkg2 import mod` from within `pkg.subpkg1` you will import `pkg.subpkg2.mod`. The specification for relative imports is contained in the `relativeimports`{.interpreted-text role="ref"} section.
`importlib.import_module`{.interpreted-text role="func"} is provided to support applications that determine dynamically the modules to be loaded.
::: audit-event
import module,filename,sys.path,sys.meta_path,sys.path_hooks import
:::
### Lazy imports[]{#lazy-imports} {#lazy}
::: index
pair: lazy; import single: lazy import
:::
The `lazy`{.interpreted-text role="keyword"} keyword is a `soft keyword <soft-keywords>`{.interpreted-text role="ref"} that only has special meaning when it appears immediately before an `import`{.interpreted-text role="keyword"} or `from`{.interpreted-text role="keyword"} statement. When an import statement is preceded by the `lazy`{.interpreted-text role="keyword"} keyword, the import becomes *lazy*: the module is not loaded immediately at the import statement. Instead, a lazy proxy object is created and bound to the name. The actual module is loaded on first use of that name.
Lazy imports are only permitted at module scope. Using `lazy`{.interpreted-text role="keyword"} inside a function, class body, or `try`{.interpreted-text role="keyword"}/`except`{.interpreted-text role="keyword"}/`finally`{.interpreted-text role="keyword"} block raises a `SyntaxError`{.interpreted-text role="exc"}. Star imports cannot be lazy (`lazy from module import *` is a syntax error), and `future statements <future>`{.interpreted-text role="ref"} cannot be lazy.
When using `lazy from ... import`, each imported name is bound to a lazy proxy object. The first access to any of these names triggers loading of the entire module and resolves only that specific name to its actual value. Other names remain as lazy proxies until they are accessed.
Example:
lazy import json
import sys
print('json' in sys.modules) # False - json module not yet loaded
# First use triggers loading
result = json.dumps({"hello": "world"})
print('json' in sys.modules) # True - now loaded
If an error occurs during module loading (such as `ImportError`{.interpreted-text role="exc"} or `SyntaxError`{.interpreted-text role="exc"}), it is raised at the point where the lazy import is first used, not at the import statement itself.
See `810`{.interpreted-text role="pep"} for the full specification of lazy imports.
::: versionadded
next
:::
### Future statements {#future}
::: index
pair: future; statement single: \_\_future\_\_; future statement
:::
A `future statement`{.interpreted-text role="dfn"} is a directive to the compiler that a particular module should be compiled using syntax or semantics that will be available in a specified future release of Python where the feature becomes standard.
The future statement is intended to ease migration to future versions of Python that introduce incompatible changes to the language. It allows use of the new features on a per-module basis before the release in which the feature becomes standard.
::: productionlist
python-grammar future_stmt: \"from\" \"\_\_future\_\_\" \"import\" [feature]{.title-ref} \[\"as\" [identifier]{.title-ref}\] : (\",\" [feature]{.title-ref} \[\"as\" [identifier]{.title-ref}\])\* : \| \"from\" \"\_\_future\_\_\" \"import\" \"(\" [feature]{.title-ref} \[\"as\" [identifier]{.title-ref}\] : (\",\" [feature]{.title-ref} \[\"as\" [identifier]{.title-ref}\])\* \[\",\"\] \")\" feature: [identifier]{.title-ref}
:::
A future statement must appear near the top of the module. The only lines that can appear before a future statement are:
- the module docstring (if any),
- comments,
- blank lines, and
- other future statements.
The only feature that requires using the future statement is `annotations` (see `563`{.interpreted-text role="pep"}).
All historical features enabled by the future statement are still recognized by Python 3. The list includes `absolute_import`, `division`, `generators`, `generator_stop`, `unicode_literals`, `print_function`, `nested_scopes` and `with_statement`. They are all redundant because they are always enabled, and only kept for backwards compatibility.
A future statement is recognized and treated specially at compile time: Changes to the semantics of core constructs are often implemented by generating different code. It may even be the case that a new feature introduces new incompatible syntax (such as a new reserved word), in which case the compiler may need to parse the module differently. Such decisions cannot be pushed off until runtime.
For any given release, the compiler knows which feature names have been defined, and raises a compile-time error if a future statement contains a feature not known to it.
The direct runtime semantics are the same as for any import statement: there is a standard module `__future__`{.interpreted-text role="mod"}, described later, and it will be imported in the usual way at the time the future statement is executed.
The interesting runtime semantics depend on the specific feature enabled by the future statement.
Note that there is nothing special about the statement:
import __future__ [as name]
That is not a future statement; it\'s an ordinary import statement with no special semantics or syntax restrictions.
Code compiled by calls to the built-in functions `exec`{.interpreted-text role="func"} and `compile`{.interpreted-text role="func"} that occur in a module `!M`{.interpreted-text role="mod"} containing a future statement will, by default, use the new syntax or semantics associated with the future statement. This can be controlled by optional arguments to `compile`{.interpreted-text role="func"} \-\-- see the documentation of that function for details.
A future statement typed at an interactive interpreter prompt will take effect for the rest of the interpreter session. If an interpreter is started with the `-i`{.interpreted-text role="option"} option, is passed a script name to execute, and the script includes a future statement, it will be in effect in the interactive session started after the script is executed.
::: seealso
`236`{.interpreted-text role="pep"} - Back to the \_\_future\_\_
: The original proposal for the \_\_future\_\_ mechanism.
:::
## The `!global`{.interpreted-text role="keyword"} statement {#global}
::: index
! pair: statement; global triple: global; name; binding single: , (comma); identifier list
:::
::: productionlist
python-grammar global_stmt: \"global\" [identifier]{.title-ref} (\",\" [identifier]{.title-ref})\*
:::
The `global`{.interpreted-text role="keyword"} statement causes the listed identifiers to be interpreted as globals. It would be impossible to assign to a global variable without `!global`{.interpreted-text role="keyword"}, although free variables may refer to globals without being declared global.
The `!global`{.interpreted-text role="keyword"} statement applies to the entire current scope (module, function body or class definition). A `SyntaxError`{.interpreted-text role="exc"} is raised if a variable is used or assigned to prior to its global declaration in the scope.
At the module level, all variables are global, so a `!global`{.interpreted-text role="keyword"} statement has no effect. However, variables must still not be used or assigned to prior to their `!global`{.interpreted-text role="keyword"} declaration. This requirement is relaxed in the interactive prompt (`REPL`{.interpreted-text role="term"}).
::: index
pair: built-in function; exec pair: built-in function; eval pair: built-in function; compile
:::
**Programmer\'s note:** `global`{.interpreted-text role="keyword"} is a directive to the parser. It applies only to code parsed at the same time as the `!global`{.interpreted-text role="keyword"} statement. In particular, a `!global`{.interpreted-text role="keyword"} statement contained in a string or code object supplied to the built-in `exec`{.interpreted-text role="func"} function does not affect the code block *containing* the function call, and code contained in such a string is unaffected by `!global`{.interpreted-text role="keyword"} statements in the code containing the function call. The same applies to the `eval`{.interpreted-text role="func"} and `compile`{.interpreted-text role="func"} functions.
## The `!nonlocal`{.interpreted-text role="keyword"} statement {#nonlocal}
::: index
pair: statement; nonlocal single: , (comma); identifier list
:::
::: productionlist
python-grammar nonlocal_stmt: \"nonlocal\" [identifier]{.title-ref} (\",\" [identifier]{.title-ref})\*
:::
When the definition of a function or class is nested (enclosed) within the definitions of other functions, its nonlocal scopes are the local scopes of the enclosing functions. The `nonlocal`{.interpreted-text role="keyword"} statement causes the listed identifiers to refer to names previously bound in nonlocal scopes. It allows encapsulated code to rebind such nonlocal identifiers. If a name is bound in more than one nonlocal scope, the nearest binding is used. If a name is not bound in any nonlocal scope, or if there is no nonlocal scope, a `SyntaxError`{.interpreted-text role="exc"} is raised.
The `nonlocal`{.interpreted-text role="keyword"} statement applies to the entire scope of a function or class body. A `SyntaxError`{.interpreted-text role="exc"} is raised if a variable is used or assigned to prior to its nonlocal declaration in the scope.
::: seealso
`3104`{.interpreted-text role="pep"} - Access to Names in Outer Scopes
: The specification for the `nonlocal`{.interpreted-text role="keyword"} statement.
:::
**Programmer\'s note:** `nonlocal`{.interpreted-text role="keyword"} is a directive to the parser and applies only to code parsed along with it. See the note for the `global`{.interpreted-text role="keyword"} statement.
## The `!type`{.interpreted-text role="keyword"} statement {#type}
::: index
pair: statement; type
:::
::: productionlist
python-grammar type_stmt: \'type\' [identifier]{.title-ref} \[[type_params]{.title-ref}\] \"=\" [expression]{.title-ref}
:::
The `!type`{.interpreted-text role="keyword"} statement declares a type alias, which is an instance of `typing.TypeAliasType`{.interpreted-text role="class"}.
For example, the following statement creates a type alias:
type Point = tuple[float, float]
This code is roughly equivalent to:
annotation-def VALUE_OF_Point():
return tuple[float, float]
Point = typing.TypeAliasType("Point", VALUE_OF_Point())
`annotation-def` indicates an `annotation scope <annotation-scopes>`{.interpreted-text role="ref"}, which behaves mostly like a function, but with several small differences.
The value of the type alias is evaluated in the annotation scope. It is not evaluated when the type alias is created, but only when the value is accessed through the type alias\'s `!__value__`{.interpreted-text role="attr"} attribute (see `lazy-evaluation`{.interpreted-text role="ref"}). This allows the type alias to refer to names that are not yet defined.
Type aliases may be made generic by adding a `type parameter list <type-params>`{.interpreted-text role="ref"} after the name. See `generic-type-aliases`{.interpreted-text role="ref"} for more.
`!type`{.interpreted-text role="keyword"} is a `soft keyword <soft-keywords>`{.interpreted-text role="ref"}.
::: versionadded
3.12
:::
::: seealso
`695`{.interpreted-text role="pep"} - Type Parameter Syntax
: Introduced the `!type`{.interpreted-text role="keyword"} statement and syntax for generic classes and functions.
:::