[−][src]Struct pyo3::prelude::Python
Marker type that indicates that the GIL is currently held.
The Python
struct is a zero-sized marker struct that is required for most Python operations.
This is used to indicate that the operation accesses/modifies the Python interpreter state,
and thus can only be called if the Python interpreter is initialized and the
Python global interpreter lock (GIL) is acquired. The lifetime 'p
represents the lifetime of
holding the lock.
Note that the GIL can be temporarily released by the Python interpreter during a function call (e.g. importing a module), even when you're holding a GILGuard. In general, you don't need to worry about this because the GIL is reacquired before returning to the Rust code:
`Python` exists |=====================================|
GIL actually held |==========| |================|
Rust code running |=======| |==| |======|
This behaviour can cause deadlocks when trying to lock a Rust mutex while holding the GIL:
- Thread 1 acquires the GIL
- Thread 1 locks a mutex
- Thread 1 makes a call into the Python interpreter which releases the GIL
- Thread 2 acquires the GIL
- Thread 2 tries to locks the mutex, blocks
- Thread 1's Python interpreter call blocks trying to reacquire the GIL held by thread 2
To avoid deadlocking, you should release the GIL before trying to lock a mutex, e.g. with Python::allow_threads.
Implementations
impl<'_> Python<'_>
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pub fn with_gil<F, R>(f: F) -> R where
F: for<'p> FnOnce(Python<'p>) -> R,
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F: for<'p> FnOnce(Python<'p>) -> R,
Acquires the global interpreter lock, which allows access to the Python runtime. The
provided closure F will be executed with the acquired Python
marker token.
If the Python runtime is not already initialized, this function will initialize it. See prepare_freethreaded_python() for details.
Example
use pyo3::prelude::*; Python::with_gil(|py| -> PyResult<()> { let x: i32 = py.eval("5", None, None)?.extract()?; assert_eq!(x, 5); Ok(()) });
impl<'p> Python<'p>
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pub unsafe fn assume_gil_acquired() -> Python<'p>
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Retrieves a Python instance under the assumption that the GIL is already
acquired at this point, and stays acquired for the lifetime 'p
.
Because the output lifetime 'p
is not connected to any input parameter,
care must be taken that the compiler infers an appropriate lifetime for 'p
when calling this function.
Safety
The lifetime 'p
must be shorter than the period you assume that you have GIL.
I.e., Python<'static>
is always really unsafe.
pub fn acquire_gil() -> GILGuard
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Acquires the global interpreter lock, which allows access to the Python runtime.
If the Python runtime is not already initialized, this function will initialize it. See prepare_freethreaded_python() for details.
Most users should not need to use this API directly, and should prefer one of two options:
- When implementing
#[pymethods]
or#[pyfunction]
add a function argumentpy: Python
to receive access to the GIL context in which the function is running. - Use
Python::with_gil
to run a closure with the GIL, acquiring only if needed.
Note: This return type from this function, GILGuard
, is implemented as a RAII guard
around the C-API Python_EnsureGIL. This means that multiple acquire_gil()
calls are
allowed, and will not deadlock. However, GILGuard
s must be dropped in the reverse order
to acquisition. If PyO3 detects this order is not maintained, it may be forced to begin
an irrecoverable panic.
pub fn allow_threads<T, F>(self, f: F) -> T where
F: Send + FnOnce() -> T,
T: Send,
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F: Send + FnOnce() -> T,
T: Send,
Temporarily releases the GIL
, thus allowing other Python threads to run.
Example
use pyo3::exceptions::PyRuntimeError; use std::sync::Arc; use std::thread; #[pyfunction] fn parallel_count(py: Python<'_>, strings: Vec<String>, query: String) -> PyResult<usize> { let query = query.chars().next().unwrap(); py.allow_threads(move || { let threads: Vec<_> = strings .into_iter() .map(|s| thread::spawn(move || s.chars().filter(|&c| c == query).count())) .collect(); let mut sum = 0; for t in threads { sum += t.join().map_err(|_| PyRuntimeError::new_err(()))?; } Ok(sum) }) } let gil = Python::acquire_gil(); let py = gil.python(); let m = PyModule::new(py, "pcount").unwrap(); m.add_function(wrap_pyfunction!(parallel_count, m).unwrap()).unwrap(); let locals = [("pcount", m)].into_py_dict(py); py.run(r#" s = ["Flow", "my", "tears", "the", "Policeman", "Said"] assert pcount.parallel_count(s, "a") == 3 "#, None, Some(locals));
Note:
PyO3 types that represent objects with a lifetime tied to holding the GIL
cannot be used in the closure. This includes &PyAny
and all the
concrete-typed siblings, like &PyString
.
This is achieved via the Send
bound on the closure and the return type. This is slightly
more restrictive than necessary, but it's the most fitting solution available in stable
Rust. In the future this bound may be relaxed by a new "auto-trait", if auto-traits
become a stable feature of the Rust language.
You can convert such references to e.g. PyObject
or Py<PyString>
,
which makes them independent of the GIL lifetime. However, you cannot
do much with those without a Python<'p>
token, for which you'd need to
reacquire the GIL.
Example
fn parallel_print(py: Python<'_>) { let s = PyString::new(py, "This object should not be shared >_<"); py.allow_threads(move || { println!("{:?}", s); // This causes a compile error. }); }
pub fn eval(
self,
code: &str,
globals: Option<&PyDict>,
locals: Option<&PyDict>
) -> PyResult<&'p PyAny>
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self,
code: &str,
globals: Option<&PyDict>,
locals: Option<&PyDict>
) -> PyResult<&'p PyAny>
Evaluates a Python expression in the given context and returns the result.
If globals
is None
, it defaults to Python module __main__
.
If locals
is None
, it defaults to the value of globals
.
Example:
let result = py.eval("[i * 10 for i in range(5)]", None, None).unwrap(); let res: Vec<i64> = result.extract().unwrap(); assert_eq!(res, vec![0, 10, 20, 30, 40])
pub fn run(
self,
code: &str,
globals: Option<&PyDict>,
locals: Option<&PyDict>
) -> PyResult<()>
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self,
code: &str,
globals: Option<&PyDict>,
locals: Option<&PyDict>
) -> PyResult<()>
Executes one or more Python statements in the given context.
If globals
is None
, it defaults to Python module __main__
.
If locals
is None
, it defaults to the value of globals
.
Example:
use pyo3::{types::{PyBytes, PyDict}, prelude::*}; let gil = pyo3::Python::acquire_gil(); let py = gil.python(); let locals = PyDict::new(py); py.run( r#" import base64 s = 'Hello Rust!' ret = base64.b64encode(s.encode('utf-8')) "#, None, Some(locals), ).unwrap(); let ret = locals.get_item("ret").unwrap(); let b64: &PyBytes = ret.downcast().unwrap(); assert_eq!(b64.as_bytes(), b"SGVsbG8gUnVzdCE=");
pub fn get_type<T>(self) -> &'p PyType where
T: PyTypeObject,
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T: PyTypeObject,
Gets the Python type object for type T
.
pub fn import(self, name: &str) -> PyResult<&'p PyModule>
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Imports the Python module with the specified name.
pub fn is_instance<T: PyTypeObject, V: AsPyPointer>(
self,
obj: &V
) -> PyResult<bool>
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self,
obj: &V
) -> PyResult<bool>
Checks whether obj
is an instance of type T
.
This is equivalent to the Python isinstance
function.
pub fn is_subclass<T, U>(self) -> PyResult<bool> where
T: PyTypeObject,
U: PyTypeObject,
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T: PyTypeObject,
U: PyTypeObject,
Checks whether type T
is subclass of type U
.
This is equivalent to the Python issubclass
function.
pub fn None(self) -> PyObject
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Gets the Python builtin value None
.
pub fn NotImplemented(self) -> PyObject
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Gets the Python builtin value NotImplemented
.
pub unsafe fn new_pool(self) -> GILPool
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Create a new pool for managing PyO3's owned references.
When this GILPool
is dropped, all PyO3 owned references created after this GILPool
will
all have their Python reference counts decremented, potentially allowing Python to drop
the corresponding Python objects.
Typical usage of PyO3 will not need this API, as Python::acquire_gil
automatically
creates a GILPool
where appropriate.
Advanced uses of PyO3 which perform long-running tasks which never free the GIL may need to use this API to clear memory, as PyO3 usually does not clear memory until the GIL is released.
Example
let gil = Python::acquire_gil(); let py = gil.python(); // Some long-running process like a webserver, which never releases the GIL. loop { // Create a new pool, so that PyO3 can clear memory at the end of the loop. let pool = unsafe { py.new_pool() }; // It is recommended to *always* immediately set py to the pool's Python, to help // avoid creating references with invalid lifetimes. let py = unsafe { pool.python() }; // do stuff... }
Safety
Extreme care must be taken when using this API, as misuse can lead to accessing invalid
memory. In addition, the caller is responsible for guaranteeing that the GIL remains held
for the entire lifetime of the returned GILPool
.
Two best practices are required when using this API:
- From the moment
new_pool()
is called, only thePython
token from the returnedGILPool
(accessible using.python()
) should be used in PyO3 APIs. All other olderPython
tokens with longer lifetimes are unsafe to use until theGILPool
is dropped, because they can be used to create PyO3 owned references which have lifetimes which outlive theGILPool
. - Similarly, methods on existing owned references will implicitly refer back to the
Python
token which that reference was originally created with. If the returned values from these methods are owned references they will inherit the same lifetime. As a result, Rust's lifetime rules may allow them to outlive theGILPool
, even though this is not safe for reasons discussed above. Care must be taken to never access these return values after theGILPool
is dropped, unless they are converted toPy<T>
before the pool is dropped.
impl<'p> Python<'p>
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pub fn checked_cast_as<T>(
self,
obj: PyObject
) -> Result<&'p T, PyDowncastError<'p>> where
T: PyTryFrom<'p>,
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self,
obj: PyObject
) -> Result<&'p T, PyDowncastError<'p>> where
T: PyTryFrom<'p>,
Registers the object in the release pool, and tries to downcast to specific type.
pub unsafe fn cast_as<T>(self, obj: PyObject) -> &'p T where
T: PyNativeType + PyTypeInfo,
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T: PyNativeType + PyTypeInfo,
Registers the object in the release pool, and does an unchecked downcast to the specific type.
pub unsafe fn from_owned_ptr<T>(self, ptr: *mut PyObject) -> &'p T where
T: FromPyPointer<'p>,
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T: FromPyPointer<'p>,
Registers the object pointer in the release pool, and does an unchecked downcast to the specific type.
pub unsafe fn from_owned_ptr_or_err<T>(
self,
ptr: *mut PyObject
) -> PyResult<&'p T> where
T: FromPyPointer<'p>,
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self,
ptr: *mut PyObject
) -> PyResult<&'p T> where
T: FromPyPointer<'p>,
Registers the owned object pointer in the release pool.
Returns Err(PyErr)
if the pointer is NULL.
Does an unchecked downcast to the specific type.
pub unsafe fn from_owned_ptr_or_opt<T>(
self,
ptr: *mut PyObject
) -> Option<&'p T> where
T: FromPyPointer<'p>,
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self,
ptr: *mut PyObject
) -> Option<&'p T> where
T: FromPyPointer<'p>,
Registers the owned object pointer in release pool.
Returns None
if the pointer is NULL.
Does an unchecked downcast to the specific type.
pub unsafe fn from_borrowed_ptr<T>(self, ptr: *mut PyObject) -> &'p T where
T: FromPyPointer<'p>,
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T: FromPyPointer<'p>,
Does an unchecked downcast to the specific type.
Panics if the pointer is NULL.
pub unsafe fn from_borrowed_ptr_or_err<T>(
self,
ptr: *mut PyObject
) -> PyResult<&'p T> where
T: FromPyPointer<'p>,
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self,
ptr: *mut PyObject
) -> PyResult<&'p T> where
T: FromPyPointer<'p>,
Does an unchecked downcast to the specific type.
Returns Err(PyErr)
if the pointer is NULL.
pub unsafe fn from_borrowed_ptr_or_opt<T>(
self,
ptr: *mut PyObject
) -> Option<&'p T> where
T: FromPyPointer<'p>,
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self,
ptr: *mut PyObject
) -> Option<&'p T> where
T: FromPyPointer<'p>,
Does an unchecked downcast to the specific type.
Returns None
if the pointer is NULL.
pub fn release<T>(self, ob: T) where
T: IntoPyPointer,
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T: IntoPyPointer,
Releases a PyObject reference.
pub fn xdecref<T: IntoPyPointer>(self, ptr: T)
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Releases a ffi::PyObject
pointer.
pub fn check_signals(self) -> PyResult<()>
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Lets the Python interpreter check for pending signals and invoke the corresponding signal handlers. This can run arbitrary Python code.
If an exception is raised by the signal handler, or the default signal
handler raises an exception (such as KeyboardInterrupt
for SIGINT
),
an Err
is returned.
This is a wrapper of the C function PyErr_CheckSignals()
. It is good
practice to call this regularly in a long-running calculation since
SIGINT and other signals handled by Python code are left pending for its
entire duration.
Trait Implementations
Auto Trait Implementations
impl<'p> !RefUnwindSafe for Python<'p>
impl<'p> !Send for Python<'p>
impl<'p> !Sync for Python<'p>
impl<'p> Unpin for Python<'p>
impl<'p> !UnwindSafe for Python<'p>
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,