smart_open
RE2
smart_open | RE2 | |
---|---|---|
6 | 49 | |
3,091 | 8,614 | |
0.7% | 0.5% | |
8.3 | 8.9 | |
12 days ago | 23 days ago | |
Python | C++ | |
MIT License | BSD 3-clause "New" or "Revised" License |
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smart_open
- smart_open: Utils for streaming large files (S3, HDFS, gzip, bz2...)
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Use AWS to unzip all of Wikipedia in 10 minutes
We’re using smart_open, which is an amazing library that lets you open objects in S3 (and other cloud object stores) as if they’re files on your filesystem. It’s obviously critical that we’re able to seek to an arbitrary position in an S3 file without first downloading the whole thing. We’ll assume you’re using Poetry, but you should be able to follow along with any other package manager:
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Using AWS and Hyperscan to match regular expressions on 100GB of text
If you didn’t follow along with the first article in this series, you should be able to follow this article with your own dataset as long as you install smart_open and Meadowrun. smart_open is an amazing library that lets you open objects in S3 (and other cloud object stores) as if they’re files on your filesystem, and Meadowrun makes it easy to run your Python code on the cloud.
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Ask HN: Codebases with great, easy to read code?
I see that you're primarily looking into Python work, so I'd recommend `smart_open` as a nice, compact way to get started.
https://github.com/RaRe-Technologies/smart_open
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How to open an s3 binary file in lambda using python open() function?
You want smart_open. It gives you a (more complete) file-like interface to many different storage systems, including s3. You can read and seek as needed.
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Fsspec: Filesystem Interfaces for Python
See also smart_open: https://github.com/RaRe-Technologies/smart_open which might be more user-friendly? Never used it myself but it was on HN before. Discussion on their bugtracker: https://github.com/RaRe-Technologies/smart_open/issues/579
RE2
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C Is the Greenest Programming Language
Looking at the benchmark where C++ is worst compared to other languages, it's depending on the library used. I would guess if they used Google's re2 Regex library instead of Boost's, the result would be different.
https://github.com/google/re2
https://github.com/greensoftwarelab/Energy-Languages/blob/ma...
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what does this + do in the regular expression "(^A-Za-z)+"
That page says it just includes "some of the most common special characters", and following the link to the Examples page in turn includes a link to the full list.
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On a Great Interview Question
Python uses backtracking, so this probably isn't O(n), especially with the ability to choose the dictionary.
But with there are non-backtracking matchers which would make this O(n). Here's re2 from https://github.com/google/re2 :
>>> import re2
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RE2 VS hyperscan - a user suggested alternative
2 projects | 17 Mar 2023
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hyperscan VS RE2 - a user suggested alternative
2 projects | 17 Mar 2023
RE2 is a Google regular expression library
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Projects ideas to learn C++/OOP
google's regex library: https://github.com/google/re2
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Regex: is there a difference between * and {0,}, as well as + and {1,}?
I am currently working with Regex, specifically Re2, and was wondering if there is a real difference between the above expressions for repeated sub-regex.
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First release of SPVM::File::Spec - complex regular expressions, file tests, SPVM::Cwd, inheritance
I ported Google RE2, a regular expression library, to SPVM as Resource::Re2, and created SPVM::Regex, a wrapper for it.
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SPVM::File::Basename is released. This is the first module of SPVM using regular expressions.
I searched for I found that there is a Perl compatible regular expression called Google RE2. It is written in C++, and with Google RE2, I can use Perl-compatible regular expressions as a library.
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Ruby 3.2.0 Is from Another Dimension
Yes, but there is an interesting clarification here. RE2 has used the "caching" approach documented in the Ruby bug ticket linked for quite some time (since its birth?): https://github.com/google/re2/blob/954656f47fe8fb505d4818da1...
It is mentioned only briefly in Cox's article on regex matching in the wild. Look for the word "bitstate": https://swtch.com/~rsc/regexp/regexp3.html
I didn't know Perl had implemented this trick too.
The paper[1] cited in the Ruby bug ticket was published very recently. When I first read the Ruby bug ticket, I immediately wondered how they sidestepped the memory use problem. The paper's abstract seems to suggest there is some technique for doing so, as it rebuffs the idea of doing "full" memoization. Alas, I do not have access the paper. (Which is fucking ridiculous.)
[1]: https://ieeexplore.ieee.org/abstract/document/9519427
What are some alternatives?
s3fs - Amazon S3 filesystem for PyFilesystem2
compile-time-regular-expressions - Compile Time Regular Expression in C++
Streamz - Real-time stream processing for python
semver.c - Semantic version in ANSI C
s3path - s3path is a pathlib extension for AWS S3 Service
Boost.Signals - Boost.org signals2 module
PyFilesystem2 - Python's Filesystem abstraction layer
libevil - The Evil License Manager
rxsci - ReactiveX for data science
constexpr-8cc - Compile-time C Compiler implemented as C++14 constant expressions
fluvio-client-python - The Fluvio Python Client!
Cppcheck - static analysis of C/C++ code