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Structures\n========================\n\n``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).\n\n.. _probstructs: https://github.com/martin-majlis/probstructs\n\n|build-status| |docs| |version| |pyversions| |github-stars-flat|\n\nInstallation\n------------\n\nWith pip:\n\n.. code-block:: bash\n\n    pip install probstructs\n\nFrom source:\n\n.. code-block:: bash\n\n    pip install .\n\nClasses\n-------\n\nCountMinSketch\n^^^^^^^^^^^^^^\n\nCount–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.\n\nC++ documentation: https://probstructs.readthedocs.io/en/latest/classes.html#countminsketch\n\n.. code-block:: python\n\n    from probstructs import CountMinSketch\n\n    cm_sketch = CountMinSketch(100, 4)\n    cm_sketch.inc(\"aaa\", 1)\n    cm_sketch.inc(\"bbb\", 5)\n    cm_sketch.inc(\"aaa\", 2)\n\n    print(cm_sketch.get(\"aaa\"))\n    # 3\n    print(cm_sketch.get(\"bbb\"))\n    # 5\n    print(cm_sketch.get(\"ccc\"))\n    # 0\n\n\n    cm_sketch = CountMinSketch(width=100, depth=4)\n    cm_sketch.inc(key=\"bbb\", delta=5)\n    print(cm_sketch.get(key=\"bbb\"))\n    # 5\n\nExponentialHistorgram\n^^^^^^^^^^^^^^^^^^^^^\n\nExponential histogram (EH) is a probabilistic data structure that serves as a frequency counter for specific elements in the last N elements from stream..\n\nC++ documentation: https://probstructs.readthedocs.io/en/latest/classes.html#exponentialhistorgram\n\n.. code-block:: python\n\n    from probstructs import ExponentialHistorgram\n\n\n    eh = ExponentialHistorgram(1)\n    eh.inc(1, 1)\n    print(eh.get(1, 1))\n    # 1\n    eh.inc(1, 1)\n    print(eh.get(1, 1))\n    # 2\n    eh.inc(2, 1)\n    print(eh.get(1, 2))\n    # 1\n\n    eh = ExponentialHistorgram(window=1)\n    eh.inc(tick=1, delta=1)\n    print(eh.get(window=1, tick=1))\n    # 1\n    eh.inc(tick=1, delta=1)\n    print(eh.get(window=1, tick=1))\n    # 2\n    eh.inc(tick=2, delta=1)\n    print(eh.get(window=1, tick=2))\n    # 1\n\nExponentialCountMinSketch\n^^^^^^^^^^^^^^^^^^^^^^^^^\n\nExponential count-min sketch (ECM-Sketch) combines CM-Sketch with EH to count number of different elements in the last N elements in the stream.\n\nC++ documentation: https://probstructs.readthedocs.io/en/latest/classes.html#exponentialcountminsketch\n\n.. code-block:: python\n\n    from probstructs import ExponentialCountMinSketch\n\n\n    ecm_sketch = ExponentialCountMinSketch(100, 4, 8)\n\n    ts = 0\n    ecm_sketch.inc(\"aaa\", ts, 1)\n    ecm_sketch.inc(\"bbb\", ts, 4)\n    ecm_sketch.inc(\"ccc\", ts, 8)\n\n    print(ecm_sketch.get(\"aaa\", 4, ts))\n    # 1\n    print(ecm_sketch.get(\"bbb\", 4, ts))\n    # 4\n    print(ecm_sketch.get(\"ccc\", 4, ts))\n    # 8\n    print(ecm_sketch.get(\"ddd\", 4, ts))\n    # 0\n\n    ecm_sketch = ExponentialCountMinSketch(width=100, depth=4, window=8)\n\n    ts = 0\n    ecm_sketch.inc(key=\"aaa\", tick=ts, delta=1)\n    ecm_sketch.inc(key=\"bbb\", tick=ts, delta=4)\n    ecm_sketch.inc(key=\"ccc\", tick=ts, delta=8)\n\n    print(ecm_sketch.get(key=\"aaa\", window=4, tick=ts))\n    # 1\n    print(ecm_sketch.get(key=\"bbb\", window=4, tick=ts))\n    # 4\n    print(ecm_sketch.get(key=\"ccc\", window=4, tick=ts))\n    # 8\n    print(ecm_sketch.get(key=\"ddd\", window=4, tick=ts))\n    # 0\n\n\nOther Badges\n------------\n\n|cc-badge| |cc-issues| |coveralls| |version| |pyversions| |implementations|\n|github-downloads| |github-tag| |github-release|\n|github-commits-since-latest| |github-forks| |github-stars| |github-watches|\n|github-commit-activity| |github-last-commit| |github-code-size| |github-repo-size|\n|pypi-license| |pypi-wheel| |pypi-format| |pypi-pyversions| |pypi-implementations|\n|pypi-status| |pypi-downloads-dd| |pypi-downloads-dw| |pypi-downloads-dm|\n|libraries-io-sourcerank| |libraries-io-dependent-repos|\n\n.. PYPI-BEGIN\n\n.. toctree::\n   :maxdepth: 3\n   :caption: Contents:\n\n   CHANGES\n   API\n   DEVELOPMENT\n\n:ref:`genindex`\n\n.. 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