Whispool
Fast in memory word frequency count, with Rust
Installation
pip install whispool
Basic usage
We assume we have n sentences, with each sentence broken into words. And each sentence is
# each sentence could have diffrent length of words
sentence = [
['This', 'is', 'a', 'sentence'],
['This', 'is', 'another', 'sentence'],
['This', 'is', 'a', 'third', 'sentence', 'here'],
...
]
# each info list has to be IN THE SAME LENGTH
info = list([
['id1', 'category1', 'sci-fi', 'movie','Jan.'],
['id2', 'category1', 'romance', 'movie','Jan.'],
['id3', 'category2', 'sci-fi', 'tv','Feb.'],
...
])
Put in data
Now we put in data
from whispool import Whispool
from pathlib import Path
whisper_multi = Whispool(
directory=Path("test_data"), threads=2, capacity=200)
whisper_multi.consume(sentence, info)
whisper_multi.consume(sentence_batch2, info_batch2)
...
whisper_multi.consume(sentence_batchN, info_batchN)
Fetch the result data
Now we want to see the hot key words of Sci-Fi movies in January.
df = whisper_multi.final_stats(
[None, None, 'sci-fi', 'movie', 'Jan.'],
top_n=2)
Build from rust
maturin build --release
1 maintainer
Metadata
1 maintainer
Release files for whispool 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 12.6 MB
Release files / whispool-0.1.2-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.whl
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| Size | 1.1 MB |
| Tags | Linux glibc 2.5+ x86-64 PyPy 3.7 PyPy 3.7 7.3 |
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Release files / whispool-0.1.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl
| Download URL | whispool-0.1.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl |
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| Size | 1.1 MB |
| Tags | CPython 3.10 Linux glibc 2.5+ x86-64 |
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Release files / whispool-0.1.2-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
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Release files / whispool-0.1.2-cp310-cp310-macosx_10_7_x86_64.whl
| Download URL | whispool-0.1.2-cp310-cp310-macosx_10_7_x86_64.whl |
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Release files / whispool-0.1.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
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Release files / whispool-0.1.2-cp39-cp39-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
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Release files / whispool-0.1.2-cp39-cp39-macosx_10_7_x86_64.whl
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Release files / whispool-0.1.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
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Release files / whispool-0.1.2-cp38-cp38-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
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Release files / whispool-0.1.2-cp38-cp38-macosx_10_7_x86_64.whl
| Download URL | whispool-0.1.2-cp38-cp38-macosx_10_7_x86_64.whl |
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| Size | 390.4 kB |
| Tags | CPython 3.8 macOS 10.7+ x86-64 |
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Release files / whispool-0.1.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
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| Size | 1.1 MB |
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Release files / whispool-0.1.2-cp37-cp37m-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
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| Size | 761.1 kB |
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Release files / whispool-0.1.2-cp37-cp37m-macosx_10_7_x86_64.whl
| Download URL | whispool-0.1.2-cp37-cp37m-macosx_10_7_x86_64.whl |
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Release files / whispool-0.1.2-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
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Release files / whispool-0.1.2-cp36-cp36m-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
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| Size | 754.9 kB |
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Release files / whispool-0.1.2-cp36-cp36m-macosx_10_7_x86_64.whl
| Download URL | whispool-0.1.2-cp36-cp36m-macosx_10_7_x86_64.whl |
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