Our great sponsors
-
-
rustc-hash
Custom hash algorithm used by rustc (plus hashmap/set aliases): fast, deterministic, not secure
-
SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
-
-
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
Your "just in case the software is exposed to the web" should be "exposed to untrusted data." The very old Python hash could be DoS'ed reading a data file. The original randomized version required some feedback to figure out the hash, so generally required some sort of interaction.
I find that hard to believe that's a performance bottleneck. String hashes are all cached, and names like "print" are interned.
For a 2x overall gain I would expect to see the hash function pop up easily in my profiling, but I haven't seen it in my own profiling which was looking for simple things like that.
When siphash was evaluated, quoting https://peps.python.org/pep-0456/#performance , "In general the PEP 456 code with SipHash24 is about as fast as the old code with FNV" and "The summarized total runtime of the benchmark is within 1% of the runtime of an unmodified Python 3.4 binary".
Since then they switched from siphash24 to the faster siphash13. https://github.com/python/cpython/pull/28752
Which is why the Rust compiler itself uses a non-cryptographic hash, which takes just 3 x86 instructions and can work on 8 bytes at a time: <https://github.com/rust-lang/rustc-hash/blob/master/src/lib....>
I have a real life example in this commit: https://github.com/hpc4cmb/toast/pull/380/commits/a38d1d6dbc...
Replacing 2 lines of python code (with tens of glue code in Numba) with hundreds lines of C++ with glue code.
If you have no knowledge you can still make use of element picker in the context menu. In this case though the problematic element will have a generated class name like `frontend-components-SubscribePrompt-`, so I resorted to the CSS syntax (`##`). There are a lot, a freaking lot of them [1] but the CSS syntax alone can achieve a lot.
[1] https://github.com/gorhill/uBlock/wiki/Static-filter-syntax
Recent CPython development has been towards optimizations and addressing use cases that benefit from optimizations, some coming from the faster CPython initiative. You might just get your JIT[1].
[1] https://github.com/faster-cpython/ideas/wiki/Workflow-for-3....
A template repo can be found here https://github.com/JacksonKearl/cpython, but it does not implement an ideal malloc as I am not sure if it is still being used as an assignment.
The repo states that even this dummy implementation:
> has a 60% faster startup as compared to base CPython, and in some test cases has marginally better runtime performance as well.
Related posts
- Watch out for mining malware in afterburner!
- Android 13 requires devices to have more than 2GB RAM and 16GB storage
- Can I stop a specific website from showing up in search results?
- Firefox vs Brave - I tested them so you don't need to.
- LPT Google doesn't show ads when your query includes anything related to covid but it doesn't distinguish which part of the query. So if you use 'covid' as an excluded phrase (e.g. nvidia 3080 -covid), you get similar results but without ads.