Probabilistic Structures
Probstructs is easy to use Python wrapper for C++ library probstructs . It supports Exponential Histograms, Count Min Sketch (CM-Sketch), and Exponential Count Min Sketch (ECM-Sketch).
Installation
With pip:
pip install probstructsFrom source:
pip install .Classes
CountMinSketch
Count–min sketch (CM sketch) is a probabilistic data structure that serves as a frequency table of events in a stream of data. It uses hash functions to map events to frequencies, but unlike a hash table uses only sub-linear space, at the expense of overcounting some events due to collisions.
C++ documentation: https://probstructs.readthedocs.io/en/latest/classes.html#countminsketch
from probstructs import CountMinSketch
cm_sketch = CountMinSketch(100, 4)
cm_sketch.inc("aaa", 1)
cm_sketch.inc("bbb", 5)
cm_sketch.inc("aaa", 2)
print(cm_sketch.get("aaa"))
# 3
print(cm_sketch.get("bbb"))
# 5
print(cm_sketch.get("ccc"))
# 0
cm_sketch = CountMinSketch(width=100, depth=4)
cm_sketch.inc(key="bbb", delta=5)
print(cm_sketch.get(key="bbb"))
# 5ExponentialHistorgram
Exponential histogram (EH) is a probabilistic data structure that serves as a frequency counter for specific elements in the last N elements from stream..
C++ documentation: https://probstructs.readthedocs.io/en/latest/classes.html#exponentialhistorgram
from probstructs import ExponentialHistorgram
eh = ExponentialHistorgram(1)
eh.inc(1, 1)
print(eh.get(1, 1))
# 1
eh.inc(1, 1)
print(eh.get(1, 1))
# 2
eh.inc(2, 1)
print(eh.get(1, 2))
# 1
eh = ExponentialHistorgram(window=1)
eh.inc(tick=1, delta=1)
print(eh.get(window=1, tick=1))
# 1
eh.inc(tick=1, delta=1)
print(eh.get(window=1, tick=1))
# 2
eh.inc(tick=2, delta=1)
print(eh.get(window=1, tick=2))
# 1ExponentialCountMinSketch
Exponential count-min sketch (ECM-Sketch) combines CM-Sketch with EH to count number of different elements in the last N elements in the stream.
C++ documentation: https://probstructs.readthedocs.io/en/latest/classes.html#exponentialcountminsketch
from probstructs import ExponentialCountMinSketch
ecm_sketch = ExponentialCountMinSketch(100, 4, 8)
ts = 0
ecm_sketch.inc("aaa", ts, 1)
ecm_sketch.inc("bbb", ts, 4)
ecm_sketch.inc("ccc", ts, 8)
print(ecm_sketch.get("aaa", 4, ts))
# 1
print(ecm_sketch.get("bbb", 4, ts))
# 4
print(ecm_sketch.get("ccc", 4, ts))
# 8
print(ecm_sketch.get("ddd", 4, ts))
# 0
ecm_sketch = ExponentialCountMinSketch(width=100, depth=4, window=8)
ts = 0
ecm_sketch.inc(key="aaa", tick=ts, delta=1)
ecm_sketch.inc(key="bbb", tick=ts, delta=4)
ecm_sketch.inc(key="ccc", tick=ts, delta=8)
print(ecm_sketch.get(key="aaa", window=4, tick=ts))
# 1
print(ecm_sketch.get(key="bbb", window=4, tick=ts))
# 4
print(ecm_sketch.get(key="ccc", window=4, tick=ts))
# 8
print(ecm_sketch.get(key="ddd", window=4, tick=ts))
# 0Changelog
0.2.0
Introduce named parameters
Update documentation to contain examples
0.1.0
Initial version
1 maintainer
Metadata
1 maintainer
Release files for probstructs 0.2.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| probstructs-0.2.8.tar.gz | 8.4 kB | Without provenance | Details |
Built distributions (wheels)
Total release size: 61.1 MB
Release files / probstructs-0.2.8.tar.gz
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Release files / probstructs-0.2.8-cp38-cp38-macosx_10_9_x86_64.whl
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Release files / probstructs-0.2.8-cp37-cp37m-win_amd64.whl
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Release files / probstructs-0.2.8-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / probstructs-0.2.8-cp37-cp37m-macosx_10_9_x86_64.whl
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Release files / probstructs-0.2.8-cp36-cp36m-win_amd64.whl
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Release files / probstructs-0.2.8-cp36-cp36m-win32.whl
| Download URL | probstructs-0.2.8-cp36-cp36m-win32.whl |
|---|---|
| Size | 65.1 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Windows x86-32 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/4.0.2 CPython/3.9.16
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Release files / probstructs-0.2.8-cp36-cp36m-musllinux_1_1_x86_64.whl
| Download URL | probstructs-0.2.8-cp36-cp36m-musllinux_1_1_x86_64.whl |
|---|---|
| Size | 3.2 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ x86-64 |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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Release files / probstructs-0.2.8-cp36-cp36m-musllinux_1_1_i686.whl
| Download URL | probstructs-0.2.8-cp36-cp36m-musllinux_1_1_i686.whl |
|---|---|
| Size | 3.1 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ x86-32 |
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No |
| Uploaded via |
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Release files / probstructs-0.2.8-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | probstructs-0.2.8-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.5 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64 |
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No |
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Release files / probstructs-0.2.8-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | probstructs-0.2.8-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl |
|---|---|
| Size | 1.6 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-32 Linux glibc 2.5+ x86-32 |
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No |
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Release files / probstructs-0.2.8-cp36-cp36m-macosx_10_9_x86_64.whl
| Download URL | probstructs-0.2.8-cp36-cp36m-macosx_10_9_x86_64.whl |
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| Size | 89.8 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64 |
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| Uploaded via |
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Security for probstructs 0.2.8
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