7c87f285995f17b646d4ecb31334db55d1962c29
Implement a character-level muncher parser as an alternative to the existing for-loop approach for text statistics. The muncher processes text by tracking whitespace and dot states to count words, sentences, capitalized words, and numeric characters. Benchmark results show the muncher completes in 504ms versus 5033ms for for-loops, though with different counts for capitalized words (16% vs 2%) and forbidden words (0% vs 2%) due to implementation differences. The README now includes both benchmark comparisons and data integrity notes documenting the statistical discrepancies between the two methods.
Isspam
Fast as light evaluator for text files to summarize specific details about the text files.
This repository contains two versions of the same algorithm.
Versions:
- Rust (risspam) written by 12bitfloat.
- C (isspam) written by retoor.
Building
make build
Build isspam with memory check (requires valgrind to be installed):
make valgrind
Running
Using files as parameter
./(r)isspam ./spam/*.txt
./(r)isspam ./not_spam/*.txt
Using stdin
Useful for automation. Works only on the isspam version.
cat ./spam/example_spam1.txt | ./isspam
Example output
Output example made by isspam.
File: ./spam/example_spam3.txt
Capitalized words: 39
Sentences: 20
Words: 420
Numbers: 1
Forbidden words: 15
<0:recovery>
<1:techie>
<2:https>
<3:digital>
<4:hack>
<5://>
<6:com>
<7:@>
<8:crypto>
<9:bitcoin>
<10:whatsapp>
<11:cryptocurrency>
<12:stolen>
<13:contact>
<14:understanding>
Word count per sentence: 21
Memory usage: 1 MB, 6.460 (re)allocated, 4.222 unqiue free'd, 0 in use.
Valgrind status
Valgrind output for isspam version.
Rust variant thinks it's too cool for memory checks afterwards.
Date: 2024-11-30
==58062==
==58062== HEAP SUMMARY:
==58062== in use at exit: 0 bytes in 0 blocks
==58062== total heap usage: 6,490 allocs, 6,490 frees, 2,343,156 bytes allocated
==58062==
==58062== All heap blocks were freed -- no leaks are possible
==58062==
==58062== For lists of detected and suppressed errors, rerun with: -s
==58062== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0)
Description
For a site I was doing spam analysis, how to recognize it. I do this by checking how it is written. How much numbers are used. How many capitals. That's the first indication. I made it originally myself but a few people liked the project and wrote their versions in their preferred language. Very happy about that.
We are bench marking it as challenge, the benchmark is doing analysis for 900 books in txt format. The fastest application wins. By now, every language has as wel won as lost. We keep iterating and making them faster.
Thanks 12bitloat, BordedDev en JestDotty for contribution of their source.
486 MiB
Languages
Rust
73%
C++
12.9%
C
6.8%
Swift
3.4%
Python
2.2%
Other
1.6%