pyo3 | Rust bindings for the Python interpreter
kandi X-RAY | pyo3 Summary
kandi X-RAY | pyo3 Summary
Rust bindings for Python, including tools for creating native Python extension modules. Running and interacting with Python code from a Rust binary is also supported.
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Trending Discussions on pyo3
QUESTION
I tried to install vpython from the terminal with the command 'pip install vpython', but it throws me this error. I have python 3.8.9 and windows 7, 32 bits. I also tried installing other libraries like numpy, and I did it successfully.
...ANSWER
Answered 2022-Mar-31 at 22:09You are using python 32bit, you should use 64bit one instead. Uninstall your 32bit version and install 64bit. I believe that your problem would be solved.
QUESTION
Why in the bottom section of this code, do I need to use the following pattern:
...ANSWER
Answered 2022-Feb-21 at 05:40First Part: (Explanation)
Since a
is the owner of the value and you are passing reference using the owner which will remain in scope even after execution but in the case when you directly pass &urlpath.to_string()
there isn't any owner and as soon the execution ends the value would be dropped and there will be a dangling reference which is the cause for the message.
Second Part: (Python to rust conversion)
I am not a crypto expert but I tried to convert the same script you provided without the condition part and matched the output in python and rust.
QUESTION
I want to wrap a function that takes an one-dimensional NDArray (rust-numpy) and an usize as parameters, and returns a one-dimensional array using PyO3 to call the code from python. Unfortunately, I can't find a good example of how to deal with the arrays in PyO3. This is the code that I have so far:
...ANSWER
Answered 2022-Feb-18 at 07:54So I ended up figuring it out:
QUESTION
I'm having some trouble installing the python cryptography
package on my raspberry pi, specifically with python version 3.9.8 (installed with pyenv). The cryptography
package is installed on my system using pacman (python-cryptography
package), and thus works using the main python interpreter (3.10.1). However, I need some version of python 3.9 specifically for another package I am using in this project. Any time I try to install cryptography
through the python 3.9.8 environment, I get the following error:
ANSWER
Answered 2022-Jan-14 at 19:59@jakub's solution ended up solving the problem for me. I uninstalled the version of rust that was installed through pacman
. To replace it, I installed rustup
and then using rustup
, installed the latest nightly version of rust (1.60). Once I did that, installing the cryptography
package worked just fine.
If you are using rustup
, just make sure that you add ~/.cargo/bin
to your PATH
before installation. Also, the command I used to install rust through rustup was rustup toolchain install nightly
.
QUESTION
I have a text parser written in Rust and want to provide a Python interface to it using pyo3
.
The parser returns a HashMap
within a HashMap
and the values of the inner HashMap
are of type serde_json::Value
. When I try to return this as a PyObject
I get an error that I am unable to solve.
This is a minimal exampel of my problem:
...ANSWER
Answered 2021-Dec-02 at 12:21The problem is that serde_json::Value
doesn't implement the pyo3::conversion::ToPyObject
trait. You can't implement that yourself either, since you can't implement a foreign trait on a foreign object.
What you can do is wrap your serde_json::Value
and implement the trait on that. Something like this should work (untested):
QUESTION
Suppose I have a Rust struct like this
...ANSWER
Answered 2021-Oct-21 at 18:43I don't think what you say is possible without some rejigging of the interface:
Your XWrapper
owns the x
and your Y
owns its x
as well. That means creating an XWrapper
will always involve a clone (or a new
).
Could we change XWrapper
so that it merely contains a reference to an x
? Not really, because that would require giving XWrapper
a lifetime annotation, and PyO3 afaik doesn't allow pyclasses with lifetime annotation. Makes sense, because passing an object to python puts it on the python heap, at which point rust loses control over the object.
So what can we do?
Some thoughts: Do you really need to expose the composition structure of y
to the python module? Just because that's the way it's organized within Rust doesn't mean it needs to be that way in Python. Your YWrapper
could provide methods to the python interface that behind the scenes forward the request to the x
instance:
QUESTION
I'm looking for Info on how to structure a Python package that wraps an extension module written in Rust, where both languages are mixed. I'm using pyO3 for FFI but can't seem to find an example on how to do this. To be specific: my rust library exposes a type that is later wrapped by a python class. Only the python class should be exposed for later users and the package should be structured, such that it can be pushed to PyPI.
For example:
On the rust side
...ANSWER
Answered 2021-Oct-15 at 14:05I found a way to do this using Maturin. So, in case anyone else is trying to find out how to do this, here's one way.
The project needs to have the following structure:
QUESTION
I am compiling a pyo3 example code using cargo build. I see this error at the end
...ANSWER
Answered 2021-Sep-10 at 08:39I managed to solve it by adding this to cargo.toml file
QUESTION
I have the following function that uses PyO3 to call a python function and get a result (in this case, an int
that gets assigned to a i32
):
ANSWER
Answered 2021-Aug-10 at 06:15The fix that Ry suggests, seems to work well. Using for<'p>
lets the compiler defer evaluation of the lifetime until it's needed when processing the code that calls .extract()
. And the lifetime, 'p
, doesn't need to be specified in the function's generic parameter list. Also, the Clone
bound wasn't required.
QUESTION
I have a simple class annotated with #[pyclass]
ANSWER
Answered 2021-Jun-23 at 15:38If you have power over the function signature, you can just change it to fn f(slf: Py) -> A
I prefer this method, wherever possible, because then the conversion just happens under the hood.
If you need to keep the signature general because you might be returning structs of different types, you need to invoke the correct conversion method.
A struct marked with #[pyclass]
will have IntoPy
implemented, but the conversion method isn't called to_object
but rather into_py
, and it wants a gil token. So here's what you do:
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Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
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