Variables
A variable is a name that holds a value or object. All variables in Mojo are
mutable—their value can be changed. (If you want to define a constant value that
can't change at runtime, see the
alias
keyword.)
Mojo has two kinds of variables:
-
Explicitly-declared variables are created with the
var
keyword, and may include type annotations.var a = 5
var b: Float64 = 3.14var a = 5
var b: Float64 = 3.14 -
Implicitly-declared variables are created with an assignment statement:
a = 5
b = 3.14a = 5
b = 3.14
Both types of variables are strongly-typed: the variable receives a type when it's created, and the type never changes. You can't assign a variable a value of a different type:
count = 8 # count is type Int
count = "Nine?" # Error: can't implicitly convert 'StringLiteral' to 'Int'
count = 8 # count is type Int
count = "Nine?" # Error: can't implicitly convert 'StringLiteral' to 'Int'
Some types support implicit conversions from other types. For example, an integer value can implicitly convert to a floating-point value:
var temperature: Float64 = 99
print(temperature)
var temperature: Float64 = 99
print(temperature)
In this example, the temperature
variable is explicitly typed as Float64
,
but assigned an integer value, so the value is implicitly converted to a
Float64
.
Implicitly-declared variables
You can create a variable with just a name and a value. For example:
name = String("Sam")
user_id = 0
name = String("Sam")
user_id = 0
Implicitly-declared variables are strongly typed: they take the type from the
first value assigned to them. For example, the user_id
variable above is type
Int
, while the name
variable is type String
. You can't assign a string to
user_id
or an integer to name
.
Implicitly-declared variables are scoped at the function level. You create an implicitly-declared variable the first time you assign a value to a given name inside a function. Any subsequent references to that name inside the function refer to the same variable. For more information, see Variable scopes, which describes how variable scoping differs between explicitly- and implicitly-declared variables.
Explicitly-declared variables
You can declare a variable with the var
keyword. For example:
var name = String("Sam")
var user_id: Int
var name = String("Sam")
var user_id: Int
The name
variable is initialized to the string "Sam". The user_id
variable
is uninitialized, but it has a declared type, Int
for an integer value. All
explicitly-declared variables are typed—either explicitly with a
type annotation or implicitly when they're initialized with
a value.
Since variables are strongly typed, you can't assign a variable a value of a different type, unless those types can be implicitly converted. For example, this code will not compile:
var user_id: Int = "Sam"
var user_id: Int = "Sam"
There are several main differences between explicitly-declared variables and implicitly-declared variables:
-
An explicitly-declared variable can be declared without initializing it:
var value: Float64
var value: Float64
-
Explicitly-declared variables follow lexical scoping, unlike implicitly-declared variables.
Type annotations
Although Mojo can infer a variable type from the first value assigned to a variable, it also supports static type annotations on variables. Type annotations provide a more explicit way of specifying the variable's type.
To specify the type for a variable, add a colon followed by the type name:
var name: String = get_name()
var name: String = get_name()
This makes it clear that name
is type String
, without knowing what the
get_name()
function returns. The get_name()
function may return a String
,
or a value that's implicitly convertible to a String
.
If a type has a constructor with just one argument, you can initialize it in two ways:
var name1: String = "Sam"
var name2 = String("Sam")
var name1: String = "Sam"
var name2 = String("Sam")
Both of these lines invoke the same constructor to create a String
from a
StringLiteral
.
Late initialization
Using type annotations allows for late initialization. For example, notice here
that the z
variable is first declared with just a type, and the value is
assigned later:
fn my_function(x: Int):
var z: Float32
if x != 0:
z = 1.0
else:
z = foo()
print(z)
fn foo() -> Float32:
return 3.14
fn my_function(x: Int):
var z: Float32
if x != 0:
z = 1.0
else:
z = foo()
print(z)
fn foo() -> Float32:
return 3.14
If you try to pass an uninitialized variable to a function or use it on the right-hand side of an assignment statement, compilation fails.
var z: Float32
var y = z # Error: use of uninitialized value 'z'
var z: Float32
var y = z # Error: use of uninitialized value 'z'
Implicit type conversion
Some types include built-in type conversion (type casting) from one type into its own type. For example, if you assign an integer to a variable that has a floating-point type, it converts the value instead of giving a compiler error:
var number: Float64 = 1
var number: Float64 = 1
As shown above, value assignment can be converted into a constructor call if the
target type has a constructor that takes a single argument that matches the
value being assigned. So, this code uses the Float64
constructor that takes an
integer: __init__(out self, value: Int)
.
In general, implicit conversions should only be supported where the conversion is lossless.
Implicit conversion follows the logic of overloaded functions. If the destination type has a single-argument constructor that takes an argument of the source type, it can be invoked for implicit conversion.
So assigning an integer to a Float64
variable is exactly the same as this:
var number = Float64(1)
var number = Float64(1)
Similarly, if you call a function that requires an argument of a certain type
(such as Float64
), you can pass in any value as long as that value type can
implicitly convert to the required type (using one of the type's overloaded
constructors).
For example, you can pass an Int
to a function that expects a Float64
,
because Float64
includes a constructor that takes an Int
:
fn take_float(value: Float64):
print(value)
fn pass_integer():
var value: Int = 1
take_float(value)
fn take_float(value: Float64):
print(value)
fn pass_integer():
var value: Int = 1
take_float(value)
For more details on implicit conversion, see Constructors and implicit conversion.
Variable scopes
Variables declared with var
are bound by lexical scoping. This
means that nested code blocks can read and modify variables defined in an
outer scope. But an outer scope cannot read variables defined in an
inner scope at all.
For example, the if
code block shown here creates an inner scope where outer
variables are accessible to read/write, but any new variables do not live
beyond the scope of the if
block:
def lexical_scopes():
var num = 1
var dig = 1
if num == 1:
print("num:", num) # Reads the outer-scope "num"
var num = 2 # Creates new inner-scope "num"
print("num:", num) # Reads the inner-scope "num"
dig = 2 # Updates the outer-scope "dig"
print("num:", num) # Reads the outer-scope "num"
print("dig:", dig) # Reads the outer-scope "dig"
lexical_scopes()
def lexical_scopes():
var num = 1
var dig = 1
if num == 1:
print("num:", num) # Reads the outer-scope "num"
var num = 2 # Creates new inner-scope "num"
print("num:", num) # Reads the inner-scope "num"
dig = 2 # Updates the outer-scope "dig"
print("num:", num) # Reads the outer-scope "num"
print("dig:", dig) # Reads the outer-scope "dig"
lexical_scopes()
Note that the var
statement inside the if
creates a new variable with the same name as the outer variable. This prevents the inner loop from accessing the outer num
variable. (This is called "variable shadowing," where the inner scope variable hides or "shadows" a variable from an outer scope.)
The lifetime of the inner num
ends exactly where the if
code block ends,
because that's the scope in which the variable was defined.
This is in contrast to implicitly-declared variables (those without the var
keyword), which use function-level scoping (consistent with Python variable
behavior). That means, when you change the value of an implicitly-declared
variable inside the if
block, it actually changes the value for the entire
function.
For example, here's the same code but without the var
declarations:
def function_scopes():
num = 1
if num == 1:
print(num) # Reads the function-scope "num"
num = 2 # Updates the function-scope variable
print(num) # Reads the function-scope "num"
print(num) # Reads the function-scope "num"
function_scopes()
def function_scopes():
num = 1
if num == 1:
print(num) # Reads the function-scope "num"
num = 2 # Updates the function-scope variable
print(num) # Reads the function-scope "num"
print(num) # Reads the function-scope "num"
function_scopes()
Now, the last print()
function sees the updated num
value from the inner
scope, because implicitly-declared variables (Python-style variables) use function-level
scope (instead of lexical scope).
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