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bench: Run semantic-text-splitter in parallel #12

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Merged
merged 1 commit into from
Dec 17, 2024
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bench: Run semantic-text-splitter in parallel #12

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17 changes: 9 additions & 8 deletions tests/bench.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
CHUNK_SIZE = 512
# END CONFIG #

def bench() -> dict[str, float]:
def bench() -> dict[str, float]:
# Initialise the chunkers.
semchunk_chunker = semchunk.chunkerify(tiktoken.encoding_for_model('gpt-4'), CHUNK_SIZE)
sts_chunker = TextSplitter.from_tiktoken_model('gpt-4', CHUNK_SIZE)
Expand All @@ -21,7 +21,7 @@ def bench_semchunk(texts: list[str]) -> None:
semchunk_chunker(texts)

def bench_sts(texts: list[str]) -> None:
[sts_chunker.chunks(text) for text in texts]
sts_chunker.chunk_all(texts)

libraries = {
'semchunk': bench_semchunk,
Expand All @@ -31,22 +31,23 @@ def bench_sts(texts: list[str]) -> None:
# Download the Gutenberg corpus.
try:
gutenberg = nltk.corpus.gutenberg

except Exception:
nltk.download('gutenberg')
gutenberg = nltk.corpus.gutenberg

# Benchmark the libraries.
benchmarks = dict.fromkeys(libraries.keys(), 0)
benchmarks = dict.fromkeys(libraries.keys(), 0.0)
texts = [gutenberg.raw(fileid) for fileid in gutenberg.fileids()]

for library, function in libraries.items():
start = time.time()
function(texts)
benchmarks[library] = time.time() - start

return benchmarks

if __name__ == '__main__':
nltk.download('gutenberg')
for library, time_taken in bench().items():
print(f'{library}: {time_taken:.2f}s')
print(f'{library}: {time_taken:.2f}s')