Extending Python with C and benchmarking against equivalent Python code.
Find the difference between writing Python code vs compiling C into a shared library.
Comparing the performance of a trie structure to store and search strings. A trie data structure is implemented with 2 methods - add and find. 2 implementations - Python and C compiled into a dynamic library loaded by the CPython interpreter are tested and benchmarked against each other to find out their memory footprint and speed.
While C and the conventions of CPython extension hacking are tricky to get your head around, they are hopefully worth up for applications with high performance requirements.
A pytest harness runs against Trie as imported from the python file or imported from the shared library compiled by distutils.
The same text file is fed into the trie implementation.
Using a bit of bash magic, we can prepare a lowercase-only, clean of punctuation list of words to feed into our trie.
head -n 50000 /usr/share/dict/words | tail -n 20000 | tr -d "[A-Z|']" | iconv -f utf8 -t ascii//TRANSLIT | uniq | head -n 18000 > clean_wordsTake the first 50000 words from unix dictionary file, take the words from the middle, remove all uppercase letters and apostrophes, convert/transliterate all non-ascii chars to ascii and pipe the top 18000 unique words into the clean_words file
Take the clean_words file from above and shuffle the words around
shuf clean_words > random_wordshead -n 80000 /usr/share/dict/words | tail -n 1000 | tr -d "[A-Z|']" | iconv -f utf8 -t ascii//TRANSLIT | uniq | head -n 800 > missing_wordsAbsolute time
The size of trie object after all the words have been added.
Average duration of finding same 50 words that are in the trie
Average duration of looking for same 50 words that aren't in the trie
See the blog post or download it and run the test suite yourself!
Tested on Linux Ubuntu.
Writing C feels hacky and teaches you about many footguns. Kudos to CPython developers for implementing and documenting a huge number of helper methods, class definition tutorials examples and providing a good debugging experience with gdb.