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Mojo struct

Python

Provides methods that help you use Python code in Mojo.

Fields​

  • ​impl (_PythonInterfaceImpl): The underlying implementation of Mojo's Python interface.

Implemented traits​

AnyType

Methods​

__init__​

__init__(inout self: Self)

Default constructor.

__copyinit__​

__copyinit__(inout self: Self, existing: Self)

Copy constructor.

Args:

  • ​existing (Self): The existing instance to copy from.

eval​

eval(inout self: Self, code: StringRef) -> Bool

Executes the given Python code.

Args:

  • ​code (StringRef): The python code to execute.

Returns:

True if the code executed successfully or False if the code raised an exception.

evaluate​

static evaluate(expr: StringRef, file: Bool = 0, name: StringRef = "__main__") -> PythonObject

Executes the given Python code.

Args:

  • ​expr (StringRef): The Python expression to evaluate.
  • ​file (Bool): Evaluate as a file and return the module.
  • ​name (StringRef): The name of the module (most relevant if file is True).

Returns:

PythonObject containing the result of the evaluation.

add_to_path​

static add_to_path(dir_path: String)

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 (String): The path to a Python module you want to import.

import_module​

static import_module(module: StringRef) -> 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`
var np = Python.import_module("numpy")
a = np.array([1, 2, 3])
from python import Python

# This is equivalent to Python's `import numpy as np`
var np = Python.import_module("numpy")
a = np.array([1, 2, 3])

Args:

  • ​module (StringRef): 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 with add_to_path()).

Returns:

The Python module.

dict​

static dict() -> PythonObject

Construct an empty Python dictionary.

Returns:

The constructed empty Python dictionary.

list​

static list() -> PythonObject

Construct an empty Python list.

Returns:

The constructed empty Python list.

__str__​

__str__(inout self: Self, str_obj: PythonObject) -> StringRef

Return a string representing the given Python object.

Args:

  • ​str_obj (PythonObject): The Python object.

Returns:

Mojo string representing the given Python object.

throw_python_exception_if_error_state​

static throw_python_exception_if_error_state(inout cpython: CPython)

Raise an exception if CPython interpreter is in an error state.

Args:

  • ​cpython (CPython): The cpython instance we wish to error check.

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.

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