{
    "info": {
        "author": "Hasenpfote",
        "author_email": "Hasenpfote36@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Other Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development",
            "Topic :: Utilities"
        ],
        "description": "`License <https://github.com/Hasenpfote/malloc_tracer/blob/master/LICENSE>`__\n`Build Status <https://travis-ci.org/Hasenpfote/malloc_tracer>`__ `PyPI\nversion <https://badge.fury.io/py/malloc-tracer>`__\n`Pyversions <https://img.shields.io/pypi/pyversions/malloc-tracer.svg?style=flat>`__\n\nmalloc_tracer\n=============\n\nAbout\n-----\n\nThis is a debugging tool for tracing malloc that occurs inside a\nfunction or class.\n\n.. code:: python\n\n   import numpy as np\n   import malloc_tracer\n\n\n   def func(x, y, z):\n       dataset1 = np.empty((100, ), dtype=np.float64)\n       print('x', x)\n       dataset1 = np.empty((1000, ), dtype=np.float64)\n\n       l = [i for i in range(100000)]\n\n       if x == 0:\n           dataset4a = np.empty((100000, ), dtype=np.float64)\n           return 0\n       elif x == 1:\n           dataset4b = np.empty((100000, ), dtype=np.float64)\n           return 1\n\n       dataset3 = np.empty((3000, ), dtype=np.float64)\n       return 2\n\n\n   tracer = malloc_tracer.Tracer(func)\n\nThis is equivalent to the following code.\n\n.. code:: python\n\n   import numpy as np\n   from tracemalloc import start, take_snapshot, stop\n\n\n   SNAPSHOT = None\n\n\n   def func(x, y, z):\n       try:\n           start()\n           dataset1 = np.empty((100,), dtype=np.float64)\n           print('x', x)\n           dataset1 = np.empty((1000,), dtype=np.float64)\n\n           l = [i for i in range(100000)]\n\n           if (x == 0):\n               dataset4a = np.empty((100000,), dtype=np.float64)\n               return 0\n           elif (x == 1):\n               dataset4b = np.empty((100000,), dtype=np.float64)\n               return 1\n\n           dataset3 = np.empty((3000,), dtype=np.float64)\n           return 2\n       finally:\n           global SNAPSHOT\n           SNAPSHOT = take_snapshot()\n           stop()\n\nFeature\n-------\n\nCompatibility\n-------------\n\nmalloc_tracer works with Python 3.4 or higher.\n\nDependencies\n------------\n\nInstallation\n------------\n\n::\n\n   pip install malloc-tracer\n\nUsage\n-----\n\n**Trace a function.**\n\n.. code:: python\n\n   import numpy as np\n   import malloc_tracer\n\n\n   def func(x, y, z):\n       dataset1 = np.empty((100, ), dtype=np.float64)\n       print('x', x)\n       dataset1 = np.empty((1000, ), dtype=np.float64)\n\n       l = [i for i in range(100000)]\n\n       if x == 0:\n           dataset4a = np.empty((100000, ), dtype=np.float64)\n           return 0\n       elif x == 1:\n           dataset4b = np.empty((100000, ), dtype=np.float64)\n           return 1\n\n       dataset3 = np.empty((3000, ), dtype=np.float64)\n       return 2\n\n.. code:: python\n\n   tracer = malloc_tracer.Tracer(func)\n   tracer.trace(\n       target_args=dict(x=1, y=2, z=3)\n   )\n\n.. figure:: https://raw.githubusercontent.com/Hasenpfote/malloc_tracer/master/docs/usage1.png\n   :alt: usage1\n\n   usage1\n\n**Trace a method.**\n\n.. code:: python\n\n   import numpy as np\n   import malloc_tracer\n\n\n   class Klass(object):\n\n       CONSTANT = 'CONSTANT'\n\n       def __init__(self, value):\n           self._value = value\n\n       def method(self, x):\n           dataset1 = np.empty((100, ), dtype=np.float64)\n           print('x', x)\n           dataset1 = np.empty((1000, ), dtype=np.float64)\n\n           l = [i for i in range(100000)]\n\n           if x == 0:\n               dataset4a = np.empty((100000, ), dtype=np.float64)\n               return 0\n           elif x == 1:\n               dataset4b = np.empty((100000, ), dtype=np.float64)\n               return 1\n\n           dataset3 = np.empty((3000, ), dtype=np.float64)\n           return 2\n\n       @staticmethod\n       def smethod():\n           dataset = np.empty((100, ), dtype=np.float64)\n           l = [i for i in range(100000)]\n           print('Hello')\n           return dataset\n\n       @classmethod\n       def cmethod(cls, var):\n           return cls.CONSTANT + var\n\n.. code:: python\n\n   instance = Klass(1)\n   tracer = malloc_tracer.Tracer(instance.method)\n   tracer.trace(\n       target_args=dict(x=1)\n   )\n\n.. figure:: https://raw.githubusercontent.com/Hasenpfote/malloc_tracer/master/docs/usage2a.png\n   :alt: usage2a\n\n   usage2a\n\n**Trace a static method.**\n\n.. code:: python\n\n   tracer = malloc_tracer.Tracer(Klass.smethod)\n   tracer.trace(\n       target_args=dict()\n   )\n\n.. figure:: https://raw.githubusercontent.com/Hasenpfote/malloc_tracer/master/docs/usage2b.png\n   :alt: usage2b\n\n   usage2b\n\n**Trace a class method.**\n\n.. code:: python\n\n   tracer = malloc_tracer.Tracer(Klass.cmethod)\n   tracer.trace(\n       target_args=dict(var='Hello world.')\n   )\n\n.. figure:: https://raw.githubusercontent.com/Hasenpfote/malloc_tracer/master/docs/usage2c.png\n   :alt: usage2c\n\n   usage2c\n\n**Displays related traces for each file.**\n\n.. code:: python\n\n   import numpy as np\n   import malloc_tracer\n\n\n   global_var1 = None\n   global_var2 = None\n\n\n   def func2():\n       global global_var1\n       global global_var2\n       global_var1 = np.empty((1000, ), dtype=np.float64)\n       global_var2 = np.empty((10000, ), dtype=np.float64)\n\n\n   def func(x, y, z):\n       dataset1 = np.empty((100, ), dtype=np.float64)\n       print('x', x)\n       dataset1 = np.empty((1000, ), dtype=np.float64)\n\n       l = [i for i in range(100000)]\n\n       func2()\n\n       if x == 0:\n           dataset4a = np.empty((100000, ), dtype=np.float64)\n           return 0\n       elif x == 1:\n           dataset4b = np.empty((100000, ), dtype=np.float64)\n           return 1\n\n       dataset3 = np.empty((3000, ), dtype=np.float64)\n       return 2\n\n.. code:: python\n\n   tracer = malloc_tracer.Tracer(func)\n   tracer.trace(\n       target_args=dict(x=1, y=2, z=3),\n       related_traces_output_mode=malloc_tracer.RelatedTracesOutputMode.FOR_EACH_FILE\n   )\n\n.. figure:: https://raw.githubusercontent.com/Hasenpfote/malloc_tracer/master/docs/usage3a.png\n   :alt: usage3a\n\n   usage3a\n\n**Displays related traces in descending order.**\n\n.. code:: python\n\n   tracer = malloc_tracer.Tracer(func)\n   tracer.trace(\n       target_args=dict(x=1, y=2, z=3),\n       related_traces_output_mode=malloc_tracer.RelatedTracesOutputMode.IN_DESCENDING_ORDER\n   )\n\n.. figure:: https://raw.githubusercontent.com/Hasenpfote/malloc_tracer/master/docs/usage3b.png\n   :alt: usage3b\n\n   usage3b\n\n**Convenience function.**\n\n.. code:: python\n\n   malloc_tracer.trace(\n       func,\n       target_args=dict(x=1, y=2, z=3),\n       related_traces_output_mode=malloc_tracer.RelatedTracesOutputMode.IN_DESCENDING_ORDER\n   )\n\nLicense\n-------\n\nThis software is released under the MIT License, see LICENSE.\n\n\n",
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