I'm a machine learning engineer.
- ๐ฑ Iโm currently learning Rust, and using Go and Python in my daily work.
- ๐ซ How to reach me: twitter
- ๐ Pronouns: He/His
- โก Fun fact: I enjoy playing with guitar and composed some original songs myself.
Python binding of MurmurHash3 Rust implementation.
License: BSD 3-Clause "New" or "Revised" License
I'm a machine learning engineer.
By using SIMD
, inline
, unsafe
or any technique to improve the benchmark of this lib.
Rename mmh3_32
as hash32
to make it convenient to use.
Can refer to project such as hyperjson
.
The clippy test shows the errors below, which is not expected:
error: deref on an immutable reference
--> src/lib.rs:80:34
|
80 | fn hash128_x[64](https://github.com/tushushu/murmurust/runs/7928640580?check_suite_focus=true#step:6:65)(_py: Python, key: &str, seed: u32, signed: bool) -> Py<PyAny> {
| ^ help: if you would like to reborrow, try removing `&*`: `&`
|
= help: for further information visit https://rust-lang.github.io/rust-clippy/master/index.html#borrow_deref_ref
This is going to be fixed by PyO3/pyo3#2555. Currently, I have to disable the clippy errors, and when PYO3 0.17.0 released, we need change it back.
The repo link of mmh3
is https://github.com/hajimes/mmh3, and it's a similar project to us, which is implemented by C++ and Python.
Please refer to my another repo https://github.com/Rust-Data-Science/ulist/blob/main/.github/workflows/publish.yml
User can decide whether use signed int(i32) or unsigned int (u32) as hash32
function return type. For example:
>>> import mmh3
>>> mmh3.hash('foo', signed=False)
4138058784
>>> mmh3.hash('foo', signed=True)
-156908512
>>> mmh3.hash('foo')
-156908512
Add badges as below:
Please refer to my another repo. https://github.com/Rust-Data-Science/ulist
Disable the array bound check by using unsafe method or iterators. Related to #6
By calling Numpy C-API, implement hash functions for Numpy array. For example:
import numpy as np
import mmr3
arr = np.array(['foo', 'bar', 'baz'], dtype=object)
mmr3.hash32(arr)
Here is the Rust bindings for Numpy C-API: https://github.com/PyO3/rust-numpy
The default seed of hash32 function is zero, for example:
>>> import mmr3
>>> mmr3.hash32('foo')
4138058784
>>> mmr3.hash32('foo', 0)
4138058784
Need to implement hash128
function by Rust, and provide a Python wrapper. For the details, please refer to how we implement hash32
in this repo.
mmh3
repo link is https://github.com/hajimes/mmh3mmr3/tests
path.Run the github workflow - benchmark, and paste the report in readme.md
.
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Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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