Mojo struct
Python
struct Python
Provides methods that help you use Python code in Mojo.
Implemented traits
AnyType
,
UnknownDestructibility
Methods
__init__
__init__(out self)
Default constructor.
__copyinit__
__copyinit__(out self, existing: Self)
Copy constructor.
Args:
- existing (
Self
): The existing instance to copy from.
cpython
cpython(self) -> ref [StaticConstantOrigin] CPython
Handle to the low-level C API of the CPython interpreter present in the current process.
Returns:
Handle to the CPython interpreter instance in the current process.
eval
eval(self, owned code: String) -> Bool
Executes the given Python code.
Args:
- code (
String
): The python code to execute.
Returns:
True
if the code executed successfully or False
if the code
raised an exception.
evaluate
static evaluate(owned expr: String, file: Bool = False, name: StringSlice[StaticConstantOrigin] = __init__[__mlir_type.!kgen.string]("__main__")) -> PythonObject
Executes the given Python code.
Args:
- expr (
String
): The Python expression to evaluate. - file (
Bool
): Evaluate as a file and return the module. - name (
StringSlice[StaticConstantOrigin]
): The name of the module (most relevant iffile
is True).
Returns:
PythonObject
containing the result of the evaluation.
add_to_path
static add_to_path(dir_path: StringSlice[origin])
Adds a directory to the Python path.
This might be necessary to import a Python module via import_module()
.
For example:
from python import Python
# Specify path to `mypython.py` module
Python.add_to_path("path/to/module")
var mypython = Python.import_module("mypython")
var c = mypython.my_algorithm(2, 3)
from python import Python
# Specify path to `mypython.py` module
Python.add_to_path("path/to/module")
var mypython = Python.import_module("mypython")
var c = mypython.my_algorithm(2, 3)
Args:
- dir_path (
StringSlice[origin]
): The path to a Python module you want to import.
import_module
static import_module(owned module: String) -> PythonObject
Imports a Python module.
This provides you with a module object you can use just like you would in Python. For example:
from python import Python
# This is equivalent to Python's `import numpy as np`
np = Python.import_module("numpy")
a = np.array(Python.list(1, 2, 3))
from python import Python
# This is equivalent to Python's `import numpy as np`
np = Python.import_module("numpy")
a = np.array(Python.list(1, 2, 3))
Args:
- module (
String
): The Python module name. This module must be visible from the list of available Python paths (you might need to add the module's path withadd_to_path()
).
Returns:
The Python module.
create_module
static create_module(name: StringSlice[StaticConstantOrigin]) -> TypedPythonObject[__init__[__mlir_type.!kgen.string]("Module")]
Creates a Python module using the provided name.
TODO: allow specifying a doc-string to attach to the module upon creation or lazily added?
Args:
- name (
StringSlice[StaticConstantOrigin]
): The Python module name.
Returns:
The Python module.
add_functions
static add_functions(module: TypedPythonObject[__init__[__mlir_type.!kgen.string]("Module")], owned functions: List[PyMethodDef])
Adds functions to a PythonModule object.
Args:
- module (
TypedPythonObject[__init__[__mlir_type.!kgen.string]("Module")]
): The PythonModule object. - functions (
List[PyMethodDef]
): List of function data.
Raises:
If we fail to add the functions to the module.
add_object
static add_object(module: TypedPythonObject[__init__[__mlir_type.!kgen.string]("Module")], owned name: String, value: PythonObject)
Add a new object to module
with the given name and value.
The provided object can be any type of Python object: an instance, a type object, a function, etc.
The added value will be inserted into the __dict__
of the provided
module.
Args:
- module (
TypedPythonObject[__init__[__mlir_type.!kgen.string]("Module")]
): The Python module to modify. - name (
String
): The name of the new object. - value (
PythonObject
): The python object value.
dict
static dict[V: PythonConvertible & Copyable & Movable = PythonObject](*, owned **kwargs: V) -> PythonObject
Construct an Python dictionary from keyword arguments.
Parameters:
- V (
PythonConvertible & Copyable & Movable
): The type of the values in the dictionary. Must implement thePythonConvertible
,Copyable
, andMovable
traits.
Args:
- **kwargs (
V
): The keyword arguments to construct the dictionary with.
Returns:
The constructed Python dictionary.
Raises:
On failure to construct the dictionary or convert the values to Python objects.
static dict[K: PythonConvertible & Copyable & Movable = PythonObject, V: PythonConvertible & Copyable & Movable = PythonObject](tuples: Span[Tuple[K, V], origin]) -> PythonObject
Construct an Python dictionary from a list of key-value tuples.
Parameters:
- K (
PythonConvertible & Copyable & Movable
): The type of the keys in the dictionary. Must implement thePythonConvertible
,Copyable
, andMovable
traits. - V (
PythonConvertible & Copyable & Movable
): The type of the values in the dictionary. Must implement thePythonConvertible
,Copyable
, andMovable
traits.
Args:
- tuples (
Span[Tuple[K, V], origin]
): The list of key-value tuples to construct the dictionary with.
Returns:
The constructed Python dictionary.
Raises:
On failure to construct the dictionary or convert the keys or values to Python objects.
list
static list[T: PythonConvertible & Copyable & Movable](values: Span[T, origin]) -> PythonObject
Initialize the object from a list of values.
Parameters:
- T (
PythonConvertible & Copyable & Movable
): The span element type.
Args:
- values (
Span[T, origin]
): The values to initialize the list with.
Returns:
A PythonObject representing the list.
static list[*Ts: PythonConvertible](*values: *Ts) -> PythonObject
Construct an Python list of objects.
Parameters:
- *Ts (
PythonConvertible
): The list element types.
Args:
- *values (
*Ts
): The values to initialize the list with.
Returns:
The constructed Python list.
tuple
static tuple[*Ts: PythonConvertible](*values: *Ts) -> PythonObject
Construct an Python tuple of objects.
Parameters:
- *Ts (
PythonConvertible
): The list element types.
Args:
- *values (
*Ts
): The values to initialize the tuple with.
Returns:
The constructed Python tuple.
as_string_slice
as_string_slice(self, str_obj: PythonObject) -> StringSlice[MutableAnyOrigin]
Return a string representing the given Python object.
Args:
- str_obj (
PythonObject
): The Python object.
Returns:
Mojo string representing the given Python object.
is_type
static is_type(x: PythonObject, y: PythonObject) -> Bool
Test if the x
object is the y
object, the same as x is y
in Python.
Args:
- x (
PythonObject
): The left-hand-side value in the comparison. - y (
PythonObject
): The right-hand-side type value in the comparison.
Returns:
True if x
and y
are the same object and False otherwise.
type
static type(obj: PythonObject) -> PythonObject
Return Type of this PythonObject.
Args:
- obj (
PythonObject
): PythonObject we want the type of.
Returns:
A PythonObject that holds the type object.
none
static none() -> PythonObject
Get a PythonObject
representing None
.
Returns:
PythonObject
representing None
.
str
static str(obj: PythonObject) -> PythonObject
Convert a PythonObject to a Python str
.
Args:
- obj (
PythonObject
): The PythonObject to convert.
Returns:
A Python str
object.
Raises:
An error if the conversion failed.
int
static int(obj: PythonObject) -> PythonObject
Try to convert a PythonObject to a Python int
(i.e. arbitrary precision integer).
Args:
- obj (
PythonObject
): The PythonObject to convert.
Returns:
A PythonObject representing the result of the conversion to int
.
Raises:
If the conversion to int
fails.
py_long_as_ssize_t
static py_long_as_ssize_t(obj: PythonObject) -> Int
Get the value of a Python long
object.
Args:
- obj (
PythonObject
): The Pythonlong
object.
Returns:
The value of the long
object as a Py_ssize_t
.
Raises:
If obj
is not a Python long
object, or if the long
object
value overflows Py_ssize_t
.
is_true
static is_true(obj: PythonObject) -> Bool
Check if the PythonObject is truthy.
Args:
- obj (
PythonObject
): The PythonObject to check.
Returns:
True if the PythonObject is truthy and False otherwise.
Raises:
If the boolean value of the PythonObject cannot be determined.
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