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Results of Thoth's container image analyses for quay.io/thoth-station/ps-cv-pytorch:v0.1.2
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"no_pretty": false,
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"output": "/mnt/workdir/package-extract-211123140733-c4691cac3b91cb92",
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"datetime": "2021-11-23T14:15:06.755598",
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"version": "32 (Container Image)",
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"extensions": {
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"result": {
"author": "MyColorfulDays",
"author-email": "my_colorful_days@163.com",
"classifier": "Development Status :: 2 - Pre-Alpha\nIntended Audience :: Developers\nLicense :: OSI Approved :: BSD License\nOperating System :: OS Independent\nProgramming Language :: Python :: 2.7\nProgramming Language :: Python :: 3\nProgramming Language :: Python :: Implementation :: CPython\nTopic :: Utilities",
"description": "- [jsonformatter -- for python log json](#jsonformatter----for-python-log-json)\n- [Installation](#installation)\n- [Basic Usage](#basic-usage)\n- [Case 1. Initial root logger like `logging.basicConfig`](#case-1-initial-root-logger-like-loggingbasicconfig)\n- [Case 2. Complete config in python code](#case-2-complete-config-in-python-code)\n- [Case 3. Use config file](#case-3-use-config-file)\n- [Case 4. In `Flask` project, add `LogRecord` attribute for auto output](#case-4-in-flask-project-add-logrecord-attribute-for-auto-output)\n- [Case 5. In `Django` project, config `LOGGING`](#case-5-in-django-project-config-logging)\n- [More Usage](#more-usage)\n- [Case 1. Mix `extra` to output](#case-1-mix-extra-to-output)\n- [Case 2. Output multiple attributes in one key](#case-2-output-multiple-attributes-in-one-key)\n- [Case 3. Support `json.dumps` all optional parameters](#case-3-support-jsondumps-all-optional-parameters)\n- [Case 4. Solve cumtom `LogRecord` attribute is not `JSON serializable`](#case-4-solve-cumtom-logrecord-attribute-is-not-json-serializable)\n- [LogRecord Attributes](#logrecord-attributes)\n# jsonformatter -- for python log json\n**jsonformatter** is a formatter for python output json log, e.g. output **LogStash** needed log.\nEasily **custom(add/replace)** `LogRecord` attribute, e.g. in `Flask` web project, add `username` attribute to `LogRecord` for auto output username.\n**Python 2.7** and **python 3** are supported from version 0.2.X, if you are using a version lower than 0.2.X, Only **python 3** is supported.\n## Installation\njsonformatter is available on PyPI.\nUse pip to install:\n```shell\n$ pip install jsonformatter\n```\nor:\n```shell\n$ git clone https://github.com/MyColorfulDays/jsonformatter.git\n$ cd jsonformatter\n$ python setup.py install\n```\n## Basic Usage\n### Case 1. Initial root logger like `logging.basicConfig`\n```python\nimport logging\nfrom jsonformatter import basicConfig\n# default keyword parameter `format`: \"\"\"{\"levelname\": \"levelname\", \"name\": \"name\", \"message\": \"message\"}\"\"\"\nbasicConfig(level=logging.INFO)\nlogging.info('hello, jsonformatter')\n```\noutput:\n```shell\n{\"levelname\": \"INFO\", \"name\": \"root\", \"message\": \"hello, jsonformatter\"}\n```\n### Case 2. Complete config in python code\n```python\nimport logging\nfrom jsonformatter import JsonFormatter\n# `format` can be `json`, `OrderedDict`, `dict`.\n# If `format` is `dict` and python version < 3.7.0, the output order is sorted keys, otherwise will same as defined order.\n# key: string, can be whatever you like.\n# value: `LogRecord` attribute name.\nSTRING_FORMAT = '''{\n\"Name\": \"name\",\n\"Levelno\": \"levelno\",\n\"Levelname\": \"levelname\",\n\"Pathname\": \"pathname\",\n\"Filename\": \"filename\",\n\"Module\": \"module\",\n\"Lineno\": \"lineno\",\n\"FuncName\": \"funcName\",\n\"Created\": \"created\",\n\"Asctime\": \"asctime\",\n\"Msecs\": \"msecs\",\n\"RelativeCreated\": \"relativeCreated\",\n\"Thread\": \"thread\",\n\"ThreadName\": \"threadName\",\n\"Process\": \"process\",\n\"Message\": \"message\"\n}'''\nroot = logging.getLogger()\nroot.setLevel(logging.INFO)\nformatter = JsonFormatter(STRING_FORMAT)\nsh = logging.StreamHandler()\nsh.setFormatter(formatter)\nsh.setLevel(logging.INFO)\nroot.addHandler(sh)\nroot.info(\"test %s format\", 'string')\n```\noutput:\n```shell\n{\"Name\": \"root\", \"Levelno\": 20, \"Levelname\": \"INFO\", \"Pathname\": \"test.py\", \"Filename\": \"test.py\", \"Module\": \"test\", \"Lineno\": 75, \"FuncName\": \"test_string_format\", \"Created\": 1588185267.3198836, \"Asctime\": \"2020-04-30 02:34:27,319\", \"Msecs\": 319.8835849761963, \"RelativeCreated\": 88.2880687713623, \"Thread\": 16468, \"ThreadName\": \"MainThread\", \"Process\": 16828, \"Message\": \"test string format\"}\n```\n### Case 3. Use config file\nconfig file:\n```shell\n$ cat logger_config.ini\n[loggers]\nkeys=root\n[logger_root]\nlevel=INFO\nhandlers=infohandler\n###############################################\n[handlers]\nkeys=infohandler\n[handler_infohandler]\nclass=StreamHandler\nlevel=INFO\nformatter=form01\nargs=(sys.stdout,)\n###############################################\n[formatters]\nkeys=form01\n[formatter_form01]\nclass=jsonformatter.JsonFormatter\nformat={\"name\": \"name\",\"levelno\": \"levelno\",\"levelname\": \"levelname\",\"pathname\": \"pathname\",\"filename\": \"filename\",\"module\": \"module\",\"lineno\": \"lineno\",\"funcName\": \"funcName\",\"created\": \"created\",\"asctime\": \"asctime\",\"msecs\": \"msecs\",\"relativeCreated\": \"relativeCreated\",\"thread\": \"thread\",\"threadName\": \"threadName\",\"process\": \"process\",\"message\": \"message\"}\n```\npython code:\n```python3\nimport logging\nimport os\nfrom logging.config import fileConfig\nfileConfig(os.path.join(os.path.dirname(__file__), 'logger_config.ini'))\nroot = logging.getLogger('root')\nroot.info('test file config')\n```\noutput:\n```shell\n{\"name\": \"root\", \"levelno\": 20, \"levelname\": \"INFO\", \"pathname\": \"test.py\", \"filename\": \"test.py\", \"module\": \"test\", \"lineno\": 315, \"funcName\": \"test_file_config\", \"created\": 1588185267.3020294, \"asctime\": \"2020-04-30 02:34:27\", \"msecs\": 302.0293712615967, \"relativeCreated\": 70.4338550567627, \"thread\": 16468, \"threadName\": \"MainThread\", \"process\": 16828, \"message\": \"test file config\"}\n```\n### Case 4. In `Flask` project, add `LogRecord` attribute for auto output\nflask_demo.py\n```python\nimport datetime\nimport json\nimport logging\nimport random\nfrom collections import OrderedDict\nfrom jsonformatter import JsonFormatter\nfrom flask import Flask, has_request_context, request, session\nfrom flask.logging import default_handler\napp = Flask(__name__)\n# the key will add/replace `LogRecord` attribute.\n# the value must be `callable` type and not support positional paramters, the returned value will be as the `LogRecord` attribute value.\nRECORD_CUSTOM_ATTRS = {\n# no parameters\n'url': lambda: request.url if has_request_context() else None,\n'username': lambda: session['username'] if has_request_context() and ('username' in session) else None,\n# Arbitrary keywords parameters\n'status': lambda **record_attrs: 'failed' if record_attrs['levelname'] in ['ERROR', 'CRITICAL'] else 'success'\n}\nRECORD_CUSTOM_FORMAT = OrderedDict([\n# custom record attributes start\n(\"Url\", \"url\"),\n(\"Username\", \"username\"),\n(\"Status\", \"status\"),\n# custom record attributes end\n(\"Name\", \"name\"),\n(\"Levelno\", \"levelno\"),\n(\"Levelname\", \"levelname\"),\n(\"Pathname\", \"pathname\"),\n(\"Filename\", \"filename\"),\n(\"Module\", \"module\"),\n(\"Lineno\", \"lineno\"),\n(\"FuncName\", \"funcName\"),\n(\"Created\", \"created\"),\n(\"Asctime\", \"asctime\"),\n(\"Msecs\", \"msecs\"),\n(\"RelativeCreated\", \"relativeCreated\"),\n(\"Thread\", \"thread\"),\n(\"ThreadName\", \"threadName\"),\n(\"Process\", \"process\"),\n(\"Message\", \"message\")\n])\nformatter = JsonFormatter(\nRECORD_CUSTOM_FORMAT,\nrecord_custom_attrs=RECORD_CUSTOM_ATTRS\n)\ndefault_handler.setFormatter(formatter)\napp.logger.warning('hello, jsonformatter')\n```\noutput:\n```shell\n{\"Url\": null, \"Username\": null, \"Status\": \"success\", \"Name\": \"flask_demo\", \"Levelno\": 30, \"Levelname\": \"WARNING\", \"Pathname\": \"flask_demo.py\", \"Filename\": \"flask_demo.py\", \"Module\": \"flask_demo\", \"Lineno\": 54, \"FuncName\": \"<module>\", \"Created\": 1595781463.3557186, \"Asctime\": \"2020-07-27 00:37:43,355\", \"Msecs\": 355.71861267089844, \"RelativeCreated\": 858.7081432342529, \"Thread\": 15584, \"ThreadName\": \"MainThread\", \"Process\": 17560, \"Message\": \"hello, jsonformatter\"}\n```\n### Case 5. In `Django` project, config `LOGGING`\nsettings.py\n```python\nLOGGING = {\n'version': 1,\n'disable_existing_loggers': False,\n'formatters': {\n'standard': {\n'class': 'jsonformatter.JsonFormatter',\n'format': OrderedDict([\n(\"Name\", \"name\"),\n(\"Levelno\", \"levelno\"),\n(\"Levelname\", \"levelname\"),\n(\"Pathname\", \"pathname\"),\n(\"Filename\", \"filename\"),\n(\"Module\", \"module\"),\n(\"Lineno\", \"lineno\"),\n(\"FuncName\", \"funcName\"),\n(\"Created\", \"created\"),\n(\"Asctime\", \"asctime\"),\n(\"Msecs\", \"msecs\"),\n(\"RelativeCreated\", \"relativeCreated\"),\n(\"Thread\", \"thread\"),\n(\"ThreadName\", \"threadName\"),\n(\"Process\", \"process\"),\n(\"Message\", \"message\")\n])\n},\n},\n'handlers': {\n'console': {\n'level': 'INFO',\n'formatter': 'standard',\n'class': 'logging.StreamHandler',\n},\n},\n'loggers': {\n'django': {\n'handlers': ['console'],\n'level': 'INFO',\n'propagate': False\n},\n}\n}\n```\n## More Usage\n### Case 1. Mix `extra` to output\n```python\nimport logging\nfrom jsonformatter import JsonFormatter\nroot = logging.getLogger()\nroot.setLevel(logging.INFO)\nsh = logging.StreamHandler()\nformatter = JsonFormatter(\nensure_ascii=False,\nmix_extra=True,\nmix_extra_position='tail' # optional: head, mix\n)\nsh.setFormatter(formatter)\nsh.setLevel(logging.INFO)\nroot.addHandler(sh)\nroot.info(\n'test mix extra in fmt',\nextra={\n'extra1': 'extra content 1',\n'extra2': 'extra content 2'\n})\nroot.info(\n'test mix extra in fmt',\nextra={\n'extra3': 'extra content 3',\n'extra4': 'extra content 4'\n})\n```\noutput:\n```shell\n{\"levelname\": \"INFO\", \"name\": \"root\", \"message\": \"test mix extra in fmt\", \"extra1\": \"extra content 1\", \"extra2\": \"extra content 2\"}\n{\"levelname\": \"INFO\", \"name\": \"root\", \"message\": \"test mix extra in fmt\", \"extra3\": \"extra content 3\", \"extra4\": \"extra content 4\"}\n```\n### Case 2. Output multiple attributes in one key\n```python\nimport logging\nfrom jsonformatter import JsonFormatter\nMULTI_ATTRIBUTES_FORMAT = '''{\n\"multi attributes in one key\": \"%(name)s - %(levelno)s - %(levelname)s - %(pathname)s - %(filename)s - %(module)s - %(lineno)d - %(funcName)s - %(created)f - %(asctime)s - %(msecs)d - %(relativeCreated)d - %(thread)d - %(threadName)s - %(process)d - %(message)s\"\n}\n'''\nroot = logging.getLogger()\nroot.setLevel(logging.INFO)\nformatter = JsonFormatter(MULTI_ATTRIBUTES_FORMAT)\nsh = logging.StreamHandler()\nsh.setFormatter(formatter)\nsh.setLevel(logging.INFO)\nroot.addHandler(sh)\nroot.info('test multi attributes in one key')\n```\n### Case 3. Support `json.dumps` all optional parameters\n```python\nimport logging\nfrom jsonformatter import JsonFormatter\nSTRING_FORMAT = '''{\n\"Name\": \"name\",\n\"Levelno\": \"levelno\",\n\"Levelname\": \"levelname\",\n\"Pathname\": \"pathname\",\n\"Filename\": \"filename\",\n\"Module\": \"module\",\n\"Lineno\": \"lineno\",\n\"FuncName\": \"funcName\",\n\"Created\": \"created\",\n\"Asctime\": \"asctime\",\n\"Msecs\": \"msecs\",\n\"RelativeCreated\": \"relativeCreated\",\n\"Thread\": \"thread\",\n\"ThreadName\": \"threadName\",\n\"Process\": \"process\",\n\"Message\": \"message\"\n}'''\nroot = logging.getLogger()\nroot.setLevel(logging.INFO)\nformatter = JsonFormatter(STRING_FORMAT, indent=4, ensure_ascii=False)\nsh = logging.StreamHandler()\nsh.setFormatter(formatter)\nsh.setLevel(logging.INFO)\nroot.addHandler(sh)\nroot.info('test json optional paramter: \u4e2d\u6587')\n```\n### Case 4. Solve cumtom `LogRecord` attribute is not `JSON serializable`\n```python\nimport datetime\nimport json\nimport logging\nimport random\nfrom collections import OrderedDict\nfrom jsonformatter import JsonFormatter\n# the key will add/replace `LogRecord` attribute.\n# the value must be `callable` type and not support positional paramters, the returned value will be as the `LogRecord` attribute value.\nRECORD_CUSTOM_ATTRS = {\n# `datetime.datetime` type is not JSON serializable.\n# solve it in three ways, choose which you like.\n# 1. use `LogRecord` attribute `Format`: %(asctme)s.\n# 2. use `json.dumps` optional parameter `default`.\n# 3. use `json.dumps` optional parameter `cls`.\n'asctime': lambda: datetime.datetime.today(),\n'user id': lambda: str(random.random())[2:10]\n}\nRECORD_CUSTOM_FORMAT = OrderedDict([\n(\"User id\", \"user id\"), # new custom attrs\n(\"Name\", \"name\"),\n(\"Levelno\", \"levelno\"),\n(\"Levelname\", \"levelname\"),\n(\"Pathname\", \"pathname\"),\n(\"Filename\", \"filename\"),\n(\"Module\", \"module\"),\n(\"Lineno\", \"lineno\"),\n(\"FuncName\", \"funcName\"),\n(\"Created\", \"created\"),\n(\"Asctime\", \"%(asctime)s\"), # use `LogRecord` attribute `Format` to find matched key from RECORD_CUSTOM_ATTRS and call it value.\n(\"Msecs\", \"msecs\"),\n(\"RelativeCreated\", \"relativeCreated\"),\n(\"Thread\", \"thread\"),\n(\"ThreadName\", \"threadName\"),\n(\"Process\", \"process\"),\n(\"Message\", \"message\")\n])\n# use `json.dumps` optional parameter `default`\ndef DEFAULT_SOLUTION(o):\nif not isinstance(o, (str, int, float, bool, type(None))):\nreturn str(o)\nelse:\nreturn o\n# use `json.dumps` optional parameter `cls`\nclass CLS_SOLUTION(json.JSONEncoder):\ndef default(self, o):\nif isinstance(o, datetime.datetime):\nreturn o.isoformat()\nreturn json.JSONEncoder.default(self, o)\nroot = logging.getLogger()\nroot.setLevel(logging.INFO)\nformatter = JsonFormatter(RECORD_CUSTOM_FORMAT, record_custom_attrs=RECORD_CUSTOM_ATTRS, default=DEFAULT_SOLUTION, cls=CLS_SOLUTION)\nsh = logging.StreamHandler()\nsh.setFormatter(formatter)\nsh.setLevel(logging.INFO)\nroot.addHandler(sh)\nroot.info('record custom attrs')\n```\n## LogRecord Attributes\nOffical url: https://docs.python.org/3/library/logging.html#logrecord-attributes\nAttribute name|Format|Description\n-|-|-\nargs|You shouldn\u2019t need to format this yourself.|The tuple of arguments merged into msg to produce message, or a dict whose values are used for the merge (when there is only one argument, and it is a dictionary).\nasctime|%(asctime)s|Human-readable time when the LogRecord was created. By default this is of the form \u20182003-07-08 16:49:45,896\u2019 (the numbers after the comma are millisecond portion of the time).\ncreated|%(created)f|Time when the LogRecord was created (as returned by time.time()).\nexc_info|You shouldn\u2019t need to format this yourself.|Exception tuple (\u00e0 la sys.exc_info) or, if no exception has occurred, None.\nfilename|%(filename)s|Filename portion of pathname.\nfuncName|%(funcName)s|Name of function containing the logging call.\nlevelname|%(levelname)s|Text logging level for the message ('DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL').\nlevelno|%(levelno)s|Numeric logging level for the message (DEBUG, INFO, WARNING, ERROR, CRITICAL).\nlineno|%(lineno)d|Source line number where the logging call was issued (if available).\nmessage|%(message)s|The logged message, computed as msg % args. This is set when Formatter.format() is invoked.\nmodule|%(module)s|Module (name portion of filename).\nmsecs|%(msecs)d|Millisecond portion of the time when the LogRecord was created.\nmsg|You shouldn\u2019t need to format this yourself.|The format string passed in the original logging call. Merged with args to produce message, or an arbitrary object (see Using arbitrary objects as messages).\nname|%(name)s|Name of the logger used to log the call.\npathname|%(pathname)s|Full pathname of the source file where the logging call was issued (if available).\nprocess|%(process)d|Process ID (if available).\nprocessName|%(processName)s|Process name (if available).\nrelativeCreated|%(relativeCreated)d|Time in milliseconds when the LogRecord was created, relative to the time the logging module was loaded.\nstack_info|You shouldn\u2019t need to format this yourself.|Stack frame information (where available) from the bottom of the stack in the current thread, up to and including the stack frame of the logging call which resulted in the creation of this record.\nthread|%(thread)d|Thread ID (if available).\nthreadName|%(threadName)s|Thread name (if available).",
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"classifier": "Intended Audience :: Developers\nLicense :: OSI Approved :: MIT License\nOperating System :: OS Independent\nProgramming Language :: Python :: 3.5\nProgramming Language :: Python :: 3.6\nProgramming Language :: Python :: 3.7\nProgramming Language :: Python :: 3.8\nProgramming Language :: Python :: Implementation :: PyPy",
"description": "Pyrsistent\n==========\n.. image:: https://travis-ci.org/tobgu/pyrsistent.svg?branch=master\n:target: https://travis-ci.org/tobgu/pyrsistent\n.. image:: https://badge.fury.io/py/pyrsistent.svg\n:target: https://badge.fury.io/py/pyrsistent\n.. image:: https://coveralls.io/repos/tobgu/pyrsistent/badge.svg?branch=master&service=github\n:target: https://coveralls.io/github/tobgu/pyrsistent?branch=master\n.. _Pyrthon: https://www.github.com/tobgu/pyrthon/\nPyrsistent is a number of persistent collections (by some referred to as functional data structures). Persistent in\nthe sense that they are immutable.\nAll methods on a data structure that would normally mutate it instead return a new copy of the structure containing the\nrequested updates. The original structure is left untouched.\nThis will simplify the reasoning about what a program does since no hidden side effects ever can take place to these\ndata structures. You can rest assured that the object you hold a reference to will remain the same throughout its\nlifetime and need not worry that somewhere five stack levels below you in the darkest corner of your application\nsomeone has decided to remove that element that you expected to be there.\nPyrsistent is influenced by persistent data structures such as those found in the standard library of Clojure. The\ndata structures are designed to share common elements through path copying.\nIt aims at taking these concepts and make them as pythonic as possible so that they can be easily integrated into any python\nprogram without hassle.\nIf you want to go all in on persistent data structures and use literal syntax to define them in your code rather\nthan function calls check out Pyrthon_.\nExamples\n--------\n.. _Sequence: collections_\n.. _Hashable: collections_\n.. _Mapping: collections_\n.. _Mappings: collections_\n.. _Set: collections_\n.. _collections: https://docs.python.org/3/library/collections.abc.html\n.. _documentation: http://pyrsistent.readthedocs.org/\nThe collection types and key features currently implemented are:\n* PVector_, similar to a python list\n* PMap_, similar to dict\n* PSet_, similar to set\n* PRecord_, a PMap on steroids with fixed fields, optional type and invariant checking and much more\n* PClass_, a Python class fixed fields, optional type and invariant checking and much more\n* `Checked collections`_, PVector, PMap and PSet with optional type and invariance checks and more\n* PBag, similar to collections.Counter\n* PList, a classic singly linked list\n* PDeque, similar to collections.deque\n* Immutable object type (immutable) built on the named tuple\n* freeze_ and thaw_ functions to convert between pythons standard collections and pyrsistent collections.\n* Flexible transformations_ of arbitrarily complex structures built from PMaps and PVectors.\nBelow are examples of common usage patterns for some of the structures and features. More information and\nfull documentation for all data structures is available in the documentation_.\n.. _PVector:\nPVector\n~~~~~~~\nWith full support for the Sequence_ protocol PVector is meant as a drop in replacement to the built in list from a readers\npoint of view. Write operations of course differ since no in place mutation is done but naming should be in line\nwith corresponding operations on the built in list.\nSupport for the Hashable_ protocol also means that it can be used as key in Mappings_.\nAppends are amortized O(1). Random access and insert is log32(n) where n is the size of the vector.\n.. code:: python\n>>> from pyrsistent import v, pvector\n# No mutation of vectors once created, instead they\n# are \"evolved\" leaving the original untouched\n>>> v1 = v(1, 2, 3)\n>>> v2 = v1.append(4)\n>>> v3 = v2.set(1, 5)\n>>> v1\npvector([1, 2, 3])\n>>> v2\npvector([1, 2, 3, 4])\n>>> v3\npvector([1, 5, 3, 4])\n# Random access and slicing\n>>> v3[1]\n5\n>>> v3[1:3]\npvector([5, 3])\n# Iteration\n>>> list(x + 1 for x in v3)\n[2, 6, 4, 5]\n>>> pvector(2 * x for x in range(3))\npvector([0, 2, 4])\n.. _PMap:\nPMap\n~~~~\nWith full support for the Mapping_ protocol PMap is meant as a drop in replacement to the built in dict from a readers point\nof view. Support for the Hashable_ protocol also means that it can be used as key in other Mappings_.\nRandom access and insert is log32(n) where n is the size of the map.\n.. code:: python\n>>> from pyrsistent import m, pmap, v\n# No mutation of maps once created, instead they are\n# \"evolved\" leaving the original untouched\n>>> m1 = m(a=1, b=2)\n>>> m2 = m1.set('c', 3)\n>>> m3 = m2.set('a', 5)\n>>> m1\npmap({'a': 1, 'b': 2})\n>>> m2\npmap({'a': 1, 'c': 3, 'b': 2})\n>>> m3\npmap({'a': 5, 'c': 3, 'b': 2})\n>>> m3['a']\n5\n# Evolution of nested persistent structures\n>>> m4 = m(a=5, b=6, c=v(1, 2))\n>>> m4.transform(('c', 1), 17)\npmap({'a': 5, 'c': pvector([1, 17]), 'b': 6})\n>>> m5 = m(a=1, b=2)\n# Evolve by merging with other mappings\n>>> m5.update(m(a=2, c=3), {'a': 17, 'd': 35})\npmap({'a': 17, 'c': 3, 'b': 2, 'd': 35})\n>>> pmap({'x': 1, 'y': 2}) + pmap({'y': 3, 'z': 4})\npmap({'y': 3, 'x': 1, 'z': 4})\n# Dict-like methods to convert to list and iterate\n>>> m3.items()\npvector([('a', 5), ('c', 3), ('b', 2)])\n>>> list(m3)\n['a', 'c', 'b']\n.. _PSet:\nPSet\n~~~~\nWith full support for the Set_ protocol PSet is meant as a drop in replacement to the built in set from a readers point\nof view. Support for the Hashable_ protocol also means that it can be used as key in Mappings_.\nRandom access and insert is log32(n) where n is the size of the set.\n.. code:: python\n>>> from pyrsistent import s\n# No mutation of sets once created, you know the story...\n>>> s1 = s(1, 2, 3, 2)\n>>> s2 = s1.add(4)\n>>> s3 = s1.remove(1)\n>>> s1\npset([1, 2, 3])\n>>> s2\npset([1, 2, 3, 4])\n>>> s3\npset([2, 3])\n# Full support for set operations\n>>> s1 | s(3, 4, 5)\npset([1, 2, 3, 4, 5])\n>>> s1 & s(3, 4, 5)\npset([3])\n>>> s1 < s2\nTrue\n>>> s1 < s(3, 4, 5)\nFalse\n.. _PRecord:\nPRecord\n~~~~~~~\nA PRecord is a PMap with a fixed set of specified fields. Records are declared as python classes inheriting\nfrom PRecord. Because it is a PMap it has full support for all Mapping methods such as iteration and element\naccess using subscript notation.\n.. code:: python\n>>> from pyrsistent import PRecord, field\n>>> class ARecord(PRecord):\n... x = field()\n...\n>>> r = ARecord(x=3)\n>>> r\nARecord(x=3)\n>>> r.x\n3\n>>> r.set(x=2)\nARecord(x=2)\n>>> r.set(y=2)\nTraceback (most recent call last):\nAttributeError: 'y' is not among the specified fields for ARecord\nType information\n****************\nIt is possible to add type information to the record to enforce type checks. Multiple allowed types can be specified\nby providing an iterable of types.\n.. code:: python\n>>> class BRecord(PRecord):\n... x = field(type=int)\n... y = field(type=(int, type(None)))\n...\n>>> BRecord(x=3, y=None)\nBRecord(y=None, x=3)\n>>> BRecord(x=3.0)\nTraceback (most recent call last):\nPTypeError: Invalid type for field BRecord.x, was float\nCustom types (classes) that are iterable should be wrapped in a tuple to prevent their\nmembers being added to the set of valid types. Although Enums in particular are now\nsupported without wrapping, see #83 for more information.\nMandatory fields\n****************\nFields are not mandatory by default but can be specified as such. If fields are missing an\n*InvariantException* will be thrown which contains information about the missing fields.\n.. code:: python\n>>> from pyrsistent import InvariantException\n>>> class CRecord(PRecord):\n... x = field(mandatory=True)\n...\n>>> r = CRecord(x=3)\n>>> try:\n... r.discard('x')\n... except InvariantException as e:\n... print(e.missing_fields)\n...\n('CRecord.x',)\nInvariants\n**********\nIt is possible to add invariants that must hold when evolving the record. Invariants can be\nspecified on both field and record level. If invariants fail an *InvariantException* will be\nthrown which contains information about the failing invariants. An invariant function should\nreturn a tuple consisting of a boolean that tells if the invariant holds or not and an object\ndescribing the invariant. This object can later be used to identify which invariant that failed.\nThe global invariant function is only executed if all field invariants hold.\nGlobal invariants are inherited to subclasses.\n.. code:: python\n>>> class RestrictedVector(PRecord):\n... __invariant__ = lambda r: (r.y >= r.x, 'x larger than y')\n... x = field(invariant=lambda x: (x > 0, 'x negative'))\n... y = field(invariant=lambda y: (y > 0, 'y negative'))\n...\n>>> r = RestrictedVector(y=3, x=2)\n>>> try:\n... r.set(x=-1, y=-2)\n... except InvariantException as e:\n... print(e.invariant_errors)\n...\n('y negative', 'x negative')\n>>> try:\n... r.set(x=2, y=1)\n... except InvariantException as e:\n... print(e.invariant_errors)\n...\n('x larger than y',)\nInvariants may also contain multiple assertions. For those cases the invariant function should\nreturn a tuple of invariant tuples as described above. This structure is reflected in the\ninvariant_errors attribute of the exception which will contain tuples with data from all failed\ninvariants. Eg:\n.. code:: python\n>>> class EvenX(PRecord):\n... x = field(invariant=lambda x: ((x > 0, 'x negative'), (x % 2 == 0, 'x odd')))\n...\n>>> try:\n... EvenX(x=-1)\n... except InvariantException as e:\n... print(e.invariant_errors)\n...\n(('x negative', 'x odd'),)\nFactories\n*********\nIt's possible to specify factory functions for fields. The factory function receives whatever\nis supplied as field value and the actual returned by the factory is assigned to the field\ngiven that any type and invariant checks hold.\nPRecords have a default factory specified as a static function on the class, create(). It takes\na *Mapping* as argument and returns an instance of the specific record.\nIf a record has fields of type PRecord the create() method of that record will\nbe called to create the \"sub record\" if no factory has explicitly been specified to override\nthis behaviour.\n.. code:: python\n>>> class DRecord(PRecord):\n... x = field(factory=int)\n...\n>>> class ERecord(PRecord):\n... d = field(type=DRecord)\n...\n>>> ERecord.create({'d': {'x': '1'}})\nERecord(d=DRecord(x=1))\nCollection fields\n*****************\nIt is also possible to have fields with ``pyrsistent`` collections.\n.. code:: python\n>>> from pyrsistent import pset_field, pmap_field, pvector_field\n>>> class MultiRecord(PRecord):\n... set_of_ints = pset_field(int)\n... map_int_to_str = pmap_field(int, str)\n... vector_of_strs = pvector_field(str)\n...\nSerialization\n*************\nPRecords support serialization back to dicts. Default serialization will take keys and values\n\"as is\" and output them into a dict. It is possible to specify custom serialization functions\nto take care of fields that require special treatment.\n.. code:: python\n>>> from datetime import date\n>>> class Person(PRecord):\n... name = field(type=unicode)\n... birth_date = field(type=date,\n... serializer=lambda format, d: d.strftime(format['date']))\n...\n>>> john = Person(name=u'John', birth_date=date(1985, 10, 21))\n>>> john.serialize({'date': '%Y-%m-%d'})\n{'birth_date': '1985-10-21', 'name': u'John'}\n.. _instar: https://github.com/boxed/instar/\n.. _PClass:\nPClass\n~~~~~~\nA PClass is a python class with a fixed set of specified fields. PClasses are declared as python classes inheriting\nfrom PClass. It is defined the same way that PRecords are and behaves like a PRecord in all aspects except that it\nis not a PMap and hence not a collection but rather a plain Python object.\n.. code:: python\n>>> from pyrsistent import PClass, field\n>>> class AClass(PClass):\n... x = field()\n...\n>>> a = AClass(x=3)\n>>> a\nAClass(x=3)\n>>> a.x\n3\nChecked collections\n~~~~~~~~~~~~~~~~~~~\nChecked collections currently come in three flavors: CheckedPVector, CheckedPMap and CheckedPSet.\n.. code:: python\n>>> from pyrsistent import CheckedPVector, CheckedPMap, CheckedPSet, thaw\n>>> class Positives(CheckedPSet):\n... __type__ = (long, int)\n... __invariant__ = lambda n: (n >= 0, 'Negative')\n...\n>>> class Lottery(PRecord):\n... name = field(type=str)\n... numbers = field(type=Positives, invariant=lambda p: (len(p) > 0, 'No numbers'))\n...\n>>> class Lotteries(CheckedPVector):\n... __type__ = Lottery\n...\n>>> class LotteriesByDate(CheckedPMap):\n... __key_type__ = date\n... __value_type__ = Lotteries\n...\n>>> lotteries = LotteriesByDate.create({date(2015, 2, 15): [{'name': 'SuperLotto', 'numbers': {1, 2, 3}},\n... {'name': 'MegaLotto', 'numbers': {4, 5, 6}}],\n... date(2015, 2, 16): [{'name': 'SuperLotto', 'numbers': {3, 2, 1}},\n... {'name': 'MegaLotto', 'numbers': {6, 5, 4}}]})\n>>> lotteries\nLotteriesByDate({datetime.date(2015, 2, 15): Lotteries([Lottery(numbers=Positives([1, 2, 3]), name='SuperLotto'), Lottery(numbers=Positives([4, 5, 6]), name='MegaLotto')]), datetime.date(2015, 2, 16): Lotteries([Lottery(numbers=Positives([1, 2, 3]), name='SuperLotto'), Lottery(numbers=Positives([4, 5, 6]), name='MegaLotto')])})\n# The checked versions support all operations that the corresponding\n# unchecked types do\n>>> lottery_0215 = lotteries[date(2015, 2, 15)]\n>>> lottery_0215.transform([0, 'name'], 'SuperDuperLotto')\nLotteries([Lottery(numbers=Positives([1, 2, 3]), name='SuperDuperLotto'), Lottery(numbers=Positives([4, 5, 6]), name='MegaLotto')])\n# But also makes asserts that types and invariants hold\n>>> lottery_0215.transform([0, 'name'], 999)\nTraceback (most recent call last):\nPTypeError: Invalid type for field Lottery.name, was int\n>>> lottery_0215.transform([0, 'numbers'], set())\nTraceback (most recent call last):\nInvariantException: Field invariant failed\n# They can be converted back to python built ins with either thaw()\n# or serialize() (which provides possibilities to customize serialization)\n>>> thaw(lottery_0215)\n[{'numbers': set([1, 2, 3]), 'name': 'SuperLotto'}, {'numbers': set([4, 5, 6]), 'name': 'MegaLotto'}]\n>>> lottery_0215.serialize()\n[{'numbers': set([1, 2, 3]), 'name': 'SuperLotto'}, {'numbers': set([4, 5, 6]), 'name': 'MegaLotto'}]\n.. _transformations:\nTransformations\n~~~~~~~~~~~~~~~\nTransformations are inspired by the cool library instar_ for Clojure. They let you evolve PMaps and PVectors\nwith arbitrarily deep/complex nesting using simple syntax and flexible matching syntax.\nThe first argument to transformation is the path that points out the value to transform. The\nsecond is the transformation to perform. If the transformation is callable it will be applied\nto the value(s) matching the path. The path may also contain callables. In that case they are\ntreated as matchers. If the matcher returns True for a specific key it is considered for transformation.\n.. code:: python\n# Basic examples\n>>> from pyrsistent import inc, freeze, thaw, rex, ny, discard\n>>> v1 = freeze([1, 2, 3, 4, 5])\n>>> v1.transform([2], inc)\npvector([1, 2, 4, 4, 5])\n>>> v1.transform([lambda ix: 0 < ix < 4], 8)\npvector([1, 8, 8, 8, 5])\n>>> v1.transform([lambda ix, v: ix == 0 or v == 5], 0)\npvector([0, 2, 3, 4, 0])\n# The (a)ny matcher can be used to match anything\n>>> v1.transform([ny], 8)\npvector([8, 8, 8, 8, 8])\n# Regular expressions can be used for matching\n>>> scores = freeze({'John': 12, 'Joseph': 34, 'Sara': 23})\n>>> scores.transform([rex('^Jo')], 0)\npmap({'Joseph': 0, 'Sara': 23, 'John': 0})\n# Transformations can be done on arbitrarily deep structures\n>>> news_paper = freeze({'articles': [{'author': 'Sara', 'content': 'A short article'},\n... {'author': 'Steve', 'content': 'A slightly longer article'}],\n... 'weather': {'temperature': '11C', 'wind': '5m/s'}})\n>>> short_news = news_paper.transform(['articles', ny, 'content'], lambda c: c[:25] + '...' if len(c) > 25 else c)\n>>> very_short_news = news_paper.transform(['articles', ny, 'content'], lambda c: c[:15] + '...' if len(c) > 15 else c)\n>>> very_short_news.articles[0].content\n'A short article'\n>>> very_short_news.articles[1].content\n'A slightly long...'\n# When nothing has been transformed the original data structure is kept\n>>> short_news is news_paper\nTrue\n>>> very_short_news is news_paper\nFalse\n>>> very_short_news.articles[0] is news_paper.articles[0]\nTrue\n# There is a special transformation that can be used to discard elements. Also\n# multiple transformations can be applied in one call\n>>> thaw(news_paper.transform(['weather'], discard, ['articles', ny, 'content'], discard))\n{'articles': [{'author': 'Sara'}, {'author': 'Steve'}]}\nEvolvers\n~~~~~~~~\nPVector, PMap and PSet all have support for a concept dubbed *evolvers*. An evolver acts like a mutable\nview of the underlying persistent data structure with \"transaction like\" semantics. No updates of the original\ndata structure is ever performed, it is still fully immutable.\nThe evolvers have a very limited API by design to discourage excessive, and inappropriate, usage as that would\ntake us down the mutable road. In principle only basic mutation and element access functions are supported.\nCheck out the documentation_ of each data structure for specific examples.\nExamples of when you may want to use an evolver instead of working directly with the data structure include:\n* Multiple updates are done to the same data structure and the intermediate results are of no\ninterest. In this case using an evolver may be a more efficient and easier to work with.\n* You need to pass a vector into a legacy function or a function that you have no control\nover which performs in place mutations. In this case pass an evolver instance\ninstead and then create a new pvector from the evolver once the function returns.\n.. code:: python\n>>> from pyrsistent import v\n# In place mutation as when working with the built in counterpart\n>>> v1 = v(1, 2, 3)\n>>> e = v1.evolver()\n>>> e[1] = 22\n>>> e = e.append(4)\n>>> e = e.extend([5, 6])\n>>> e[5] += 1\n>>> len(e)\n6\n# The evolver is considered *dirty* when it contains changes compared to the underlying vector\n>>> e.is_dirty()\nTrue\n# But the underlying pvector still remains untouched\n>>> v1\npvector([1, 2, 3])\n# Once satisfied with the updates you can produce a new pvector containing the updates.\n# The new pvector will share data with the original pvector in the same way that would have\n# been done if only using operations on the pvector.\n>>> v2 = e.persistent()\n>>> v2\npvector([1, 22, 3, 4, 5, 7])\n# The evolver is now no longer considered *dirty* as it contains no differences compared to the\n# pvector just produced.\n>>> e.is_dirty()\nFalse\n# You may continue to work with the same evolver without affecting the content of v2\n>>> e[0] = 11\n# Or create a new evolver from v2. The two evolvers can be updated independently but will both\n# share data with v2 where possible.\n>>> e2 = v2.evolver()\n>>> e2[0] = 1111\n>>> e.persistent()\npvector([11, 22, 3, 4, 5, 7])\n>>> e2.persistent()\npvector([1111, 22, 3, 4, 5, 7])\n.. _freeze:\n.. _thaw:\nfreeze and thaw\n~~~~~~~~~~~~~~~\nThese functions are great when your cozy immutable world has to interact with the evil mutable world outside.\n.. code:: python\n>>> from pyrsistent import freeze, thaw, v, m\n>>> freeze([1, {'a': 3}])\npvector([1, pmap({'a': 3})])\n>>> thaw(v(1, m(a=3)))\n[1, {'a': 3}]\nCompatibility\n-------------\nPyrsistent is developed and tested on Python 3.5, 3.6, 3.7, 3.8 and PyPy3.\nPerformance\n-----------\nPyrsistent is developed with performance in mind. Still, while some operations are nearly on par with their built in,\nmutable, counterparts in terms of speed, other operations are slower. In the cases where attempts at\noptimizations have been done, speed has generally been valued over space.\nPyrsistent comes with two API compatible flavors of PVector (on which PMap and PSet are based), one pure Python\nimplementation and one implemented as a C extension. The latter generally being 2 - 20 times faster than the former.\nThe C extension will be used automatically when possible.\nThe pure python implementation is fully PyPy compatible. Running it under PyPy speeds operations up considerably if\nthe structures are used heavily (if JITed), for some cases the performance is almost on par with the built in counterparts.\nType hints\n----------\nPEP 561 style type hints for use with mypy and various editors are available for most types and functions in pyrsistent.\nType classes for annotating your own code with pyrsistent types are also available under pyrsistent.typing.\nInstallation\n------------\npip install pyrsistent\nDocumentation\n-------------\nAvailable at http://pyrsistent.readthedocs.org/\nBrief presentation available at http://slides.com/tobiasgustafsson/immutability-and-python/\nContributors\n------------\nTobias Gustafsson https://github.com/tobgu\nChristopher Armstrong https://github.com/radix\nAnders Hovm\u00f6ller https://github.com/boxed\nItamar Turner-Trauring https://github.com/itamarst\nJonathan Lange https://github.com/jml\nRichard Futrell https://github.com/Futrell\nJakob Hollenstein https://github.com/jkbjh\nDavid Honour https://github.com/foolswood\nDavid R. MacIver https://github.com/DRMacIver\nMarcus Ewert https://github.com/sarum90\nJean-Paul Calderone https://github.com/exarkun\nDouglas Treadwell https://github.com/douglas-treadwell\nTravis Parker https://github.com/teepark\nJulian Berman https://github.com/Julian\nDennis Tomas https://github.com/dtomas\nNeil Vyas https://github.com/neilvyas\ndoozr https://github.com/doozr\nKamil Galuszka https://github.com/galuszkak\nTsuyoshi Hombashi https://github.com/thombashi\nnattofriends https://github.com/nattofriends\nagberk https://github.com/agberk\nWaleed Khan https://github.com/arxanas\nJean-Louis Fuchs https://github.com/ganwell\nCarlos Corbacho https://github.com/ccorbacho\nFelix Yan https://github.com/felixonmars\nbenrg https://github.com/benrg\nJere Lahelma https://github.com/je-l\nMax Taggart https://github.com/MaxTaggart\nVincent Philippon https://github.com/vphilippon\nSemen Zhydenko https://github.com/ss18\nTill Varoquaux https://github.com/till-varoquaux\nMichal Kowalik https://github.com/michalvi\nossdev07 https://github.com/ossdev07\nKerry Olesen https://github.com/qhesz\njohnthagen https://github.com/johnthagen\nBastien Vallet https://github.com/djailla\nRam Rachum https://github.com/cool-RR\nVincent Philippon https://github.com/vphilippon\nContributing\n------------\nWant to contribute? That's great! If you experience problems please log them on GitHub. If you want to contribute code,\nplease fork the repository and submit a pull request.\nRun tests\n~~~~~~~~~\n.. _tox: https://tox.readthedocs.io/en/latest/\nTests can be executed using tox_.\nInstall tox: ``pip install tox``\nRun test for Python 3.8: ``tox -e py38``\nRelease\n~~~~~~~\n* `pip install -r requirements.txt`\n* Update CHANGES.txt\n* Update README with any new contributors and potential info needed.\n* Update _pyrsistent_version.py\n* `rm -rf dist/* && python setup.py sdist`\n* (`twine upload -r testpypi dist/*`), if testing the distribution on testpypi\n* `twine upload dist/*`\n* Commit and tag with new version: `git add -u . && git commit -m 'Prepare version vX.Y.Z' && git tag -a vX.Y.Z -m 'vX.Y.Z'`\n* Push commit and tags: `git push && git push --tags`\nProject status\n--------------\nPyrsistent can be considered stable and mature (who knows, there may even be a 1.0 some day :-)). The project is\nmaintained, bugs fixed, PRs reviewed and merged and new releases made. I currently do not have time for development\nof new features or functionality which I don't have use for myself. I'm more than happy to take PRs for new\nfunctionality though!\nThere are a bunch of issues marked with ``enhancement`` and ``help wanted`` that contain requests for new functionality\nthat would be nice to include. The level of difficulty and extend of the issues varies, please reach out to me if you're\ninterested in working on any of them.\nIf you feel that you have a grand master plan for where you would like Pyrsistent to go and have the time to put into\nit please don't hesitate to discuss this with me and submit PRs for it. If all goes well I'd be more than happy to add\nadditional maintainers to the project!",
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"classifier": "Development Status :: 3 - Alpha\nIntended Audience :: Developers\nLicense :: OSI Approved :: BSD License\nOperating System :: OS Independent\nProgramming Language :: Python\nProgramming Language :: Python :: 3\nProgramming Language :: Python :: 3.4\nProgramming Language :: Python :: 3.5\nProgramming Language :: Python :: 3.6\nProgramming Language :: Python :: 3.7\nProgramming Language :: Python :: 3.8\nTopic :: System :: Logging",
"description": "[![Build Status](https://travis-ci.org/madzak/python-json-logger.svg?branch=master)](https://travis-ci.org/madzak/python-json-logger)\n[![License](https://img.shields.io/pypi/l/python-json-logger.svg)](https://pypi.python.org/pypi/python-json-logger/)\n[![Version](https://img.shields.io/pypi/v/python-json-logger.svg)](https://pypi.python.org/pypi/python-json-logger/)\nOverview\n=======\nThis library is provided to allow standard python logging to output log data as json objects. With JSON we can make our logs more readable by machines and we can stop writing custom parsers for syslog type records.\nNews\n=======\nHi, I see this package is quiet alive and I am sorry for ignoring it so long. I will be stepping up my maintenance of this package so please allow me a week to get things back in order (and most likely a new minor version) and i'll post and update here once I am caught up.\nInstalling\n==========\nPip:\npip install python-json-logger\nPypi:\nhttps://pypi.python.org/pypi/python-json-logger\nManual:\npython setup.py install\nUsage\n=====\n## Integrating with Python's logging framework\nJson outputs are provided by the JsonFormatter logging formatter. You can add the custom formatter like below:\n**Please note: version 0.1.0 has changed the import structure, please update to the following example for proper importing**\n```python\nimport logging\nfrom pythonjsonlogger import jsonlogger\nlogger = logging.getLogger()\nlogHandler = logging.StreamHandler()\nformatter = jsonlogger.JsonFormatter()\nlogHandler.setFormatter(formatter)\nlogger.addHandler(logHandler)\n```\n## Customizing fields\nThe fmt parser can also be overidden if you want to have required fields that differ from the default of just `message`.\nThese two invocations are equivalent:\n```python\nclass CustomJsonFormatter(jsonlogger.JsonFormatter):\ndef parse(self):\nreturn self._fmt.split(';')\nformatter = CustomJsonFormatter('one;two')\n# is equivalent to:\nformatter = jsonlogger.JsonFormatter('%(one)s %(two)s')\n```\nYou can also add extra fields to your json output by specifying a dict in place of message, as well as by specifying an `extra={}` argument.\nContents of these dictionaries will be added at the root level of the entry and may override basic fields.\nYou can also use the `add_fields` method to add to or generally normalize the set of default set of fields, it is called for every log event. For example, to unify default fields with those provided by [structlog](http://www.structlog.org/) you could do something like this:\n```python\nclass CustomJsonFormatter(jsonlogger.JsonFormatter):\ndef add_fields(self, log_record, record, message_dict):\nsuper(CustomJsonFormatter, self).add_fields(log_record, record, message_dict)\nif not log_record.get('timestamp'):\n# this doesn't use record.created, so it is slightly off\nnow = datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S.%fZ')\nlog_record['timestamp'] = now\nif log_record.get('level'):\nlog_record['level'] = log_record['level'].upper()\nelse:\nlog_record['level'] = record.levelname\nformatter = CustomJsonFormatter('%(timestamp)s %(level)s %(name)s %(message)s')\n```\nItems added to the log record will be included in *every* log message, no matter what the format requires.\n## Adding custom object serialization\nFor custom handling of object serialization you can specify default json object translator or provide a custom encoder\n```python\ndef json_translate(obj):\nif isinstance(obj, MyClass):\nreturn {\"special\": obj.special}\nformatter = jsonlogger.JsonFormatter(json_default=json_translate,\njson_encoder=json.JSONEncoder)\nlogHandler.setFormatter(formatter)\nlogger.info({\"special\": \"value\", \"run\": 12})\nlogger.info(\"classic message\", extra={\"special\": \"value\", \"run\": 12})\n```\n## Using a Config File\nTo use the module with a config file using the [`fileConfig` function](https://docs.python.org/3/library/logging.config.html#logging.config.fileConfig), use the class `pythonjsonlogger.jsonlogger.JsonFormatter`. Here is a sample config file.\n```ini\n[loggers]\nkeys = root,custom\n[logger_root]\nhandlers =\n[logger_custom]\nlevel = INFO\nhandlers = custom\nqualname = custom\n[handlers]\nkeys = custom\n[handler_custom]\nclass = StreamHandler\nlevel = INFO\nformatter = json\nargs = (sys.stdout,)\n[formatters]\nkeys = json\n[formatter_json]\nformat = %(message)s\nclass = pythonjsonlogger.jsonlogger.JsonFormatter\n```\nExample Output\n==============\nSample JSON with a full formatter (basically the log message from the unit test). Every log message will appear on 1 line like a typical logger.\n```json\n{\n\"threadName\": \"MainThread\",\n\"name\": \"root\",\n\"thread\": 140735202359648,\n\"created\": 1336281068.506248,\n\"process\": 41937,\n\"processName\": \"MainProcess\",\n\"relativeCreated\": 9.100914001464844,\n\"module\": \"tests\",\n\"funcName\": \"testFormatKeys\",\n\"levelno\": 20,\n\"msecs\": 506.24799728393555,\n\"pathname\": \"tests/tests.py\",\n\"lineno\": 60,\n\"asctime\": [\"12-05-05 22:11:08,506248\"],\n\"message\": \"testing logging format\",\n\"filename\": \"tests.py\",\n\"levelname\": \"INFO\",\n\"special\": \"value\",\n\"run\": 12\n}\n```\nExternal Examples\n=================\n- [Wesley Tanaka - Structured log files in Python using python-json-logger](https://wtanaka.com/node/8201)",
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"--hash=sha256:39fb8672126159acb139a7718dd10806104dec1e2f0f6c88aab05d17df10c8d4 \\",
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"--hash=sha256:b68e4959d704768fa20e35c9d508c8dc2bbc041fd8d267c0d7345cffe2824568 \\",
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"widgetsnbextension==3.5.1 \\",
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"--hash=sha256:0498039b3e110f53824417a9f59418a20843e8752b8b15c26bb81a659d4aec5c \\",
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"--hash=sha256:26aa1adda8250a78dfc6a78d200bfb2ea43a34752cf58980bca75dde0ba0c6e9 \\",
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"zipp==3.4.1; python_version >= '3.6' \\",
"--hash=sha256:3607921face881ba3e026887d8150cca609d517579abe052ac81fc5aeffdbd76 \\",
"--hash=sha256:51cb66cc54621609dd593d1787f286ee42a5c0adbb4b29abea5a63edc3e03098"
]
}
},
{
"digests": {
"manifest": "9c9ea7775e668e99074675fc1f4c1f7c6a474c7e"
},
"ecosystem": "Python-RequirementsTXT",
"path": "/tmp/src/overlays/python36/requirements.txt",
"result": {
"dependencies": [
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"aiohttp==3.7.4.post0; python_version >= '3.6' \\",
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"async-generator==1.10; python_version < '3.7' \\",
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"--hash=sha256:31b2eced602aa8423c2aea9c76a724617ed67cf9513173fd3a4f03e3a929c7e6 \\",
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"--hash=sha256:9d35c22fcc79893c3ecc85ac4a56cde1ecf3f19c540bba0922308a6c06ca6fa5 \\",
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"--hash=sha256:6123ddc1052673e52bab52cdc955bcb57a015264a1c57d37bea2f6b817af0125 \\",
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"cachetools==4.2.1; python_version ~= '3.5' \\",
"--hash=sha256:1d9d5f567be80f7c07d765e21b814326d78c61eb0c3a637dffc0e5d1796cb2e2 \\",
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"certifi==2020.12.5 \\",
"--hash=sha256:1a4995114262bffbc2413b159f2a1a480c969de6e6eb13ee966d470af86af59c \\",
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"zipp==3.4.1; python_version < '3.8' \\",
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"--hash=sha256:51cb66cc54621609dd593d1787f286ee42a5c0adbb4b29abea5a63edc3e03098"
]
}
},
{
"digests": {
"manifest": "549ac29fae8f6251f03294e52a5081e7ba1ed092"
},
"ecosystem": "Python-RequirementsTXT",
"path": "/tmp/src/overlays/python38/requirements.txt",
"result": {
"dependencies": [
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"--hash=sha256:0498039b3e110f53824417a9f59418a20843e8752b8b15c26bb81a659d4aec5c \\",
"--hash=sha256:9da195db6630b76f0d37612f195dd7c325e280ad398dae4fcf30890a124ceb74"
]
}
},
{
"digests": {
"manifest": "dda605f7858d06856c4ef22d50d081755a42dd32"
},
"ecosystem": "Python-RequirementsTXT",
"path": "/tmp/src/requirements.txt",
"result": {
"dependencies": [
"--index-url https://pypi.org/simple",
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"ansiwrap==0.8.4 \\",
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"author_email": "chromium-dev@googlegroups.com",
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"description": "UNKNOWN",
"home-page": "https://github.com/Anorov/PySocks",
"keywords": "socks,proxy",
"license": "BSD",
"name": "PySocks",
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"path": "/usr/lib/python3.6/site-packages/chardet-3.0.4-py3.6.egg-info/PKG-INFO",
"result": {
"author": "Mark Pilgrim",
"author-email": "mark@diveintomark.org",
"classifier": "Development Status :: 4 - Beta\nIntended Audience :: Developers\nLicense :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)\nOperating System :: OS Independent\nProgramming Language :: Python\nProgramming Language :: Python :: 2\nProgramming Language :: Python :: 2.6\nProgramming Language :: Python :: 2.7\nProgramming Language :: Python :: 3\nProgramming Language :: Python :: 3.3\nProgramming Language :: Python :: 3.4\nProgramming Language :: Python :: 3.5\nProgramming Language :: Python :: 3.6\nTopic :: Software Development :: Libraries :: Python Modules\nTopic :: Text Processing :: Linguistic",
"description": "Chardet: The Universal Character Encoding Detector\n--------------------------------------------------\n.. image:: https://img.shields.io/travis/chardet/chardet/stable.svg\n:alt: Build status\n:target: https://travis-ci.org/chardet/chardet\n.. image:: https://img.shields.io/coveralls/chardet/chardet/stable.svg\n:target: https://coveralls.io/r/chardet/chardet\n.. image:: https://img.shields.io/pypi/v/chardet.svg\n:target: https://warehouse.python.org/project/chardet/\n:alt: Latest version on PyPI\n.. image:: https://img.shields.io/pypi/l/chardet.svg\n:alt: License\nDetects\n- ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants)\n- Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese)\n- EUC-JP, SHIFT_JIS, CP932, ISO-2022-JP (Japanese)\n- EUC-KR, ISO-2022-KR (Korean)\n- KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic)\n- ISO-8859-5, windows-1251 (Bulgarian)\n- ISO-8859-1, windows-1252 (Western European languages)\n- ISO-8859-7, windows-1253 (Greek)\n- ISO-8859-8, windows-1255 (Visual and Logical Hebrew)\n- TIS-620 (Thai)\n.. note::\nOur ISO-8859-2 and windows-1250 (Hungarian) probers have been temporarily\ndisabled until we can retrain the models.\nRequires Python 2.6, 2.7, or 3.3+.\nInstallation\n------------\nInstall from `PyPI <https://pypi.python.org/pypi/chardet>`_::\npip install chardet\nDocumentation\n-------------\nFor users, docs are now available at https://chardet.readthedocs.io/.\nCommand-line Tool\n-----------------\nchardet comes with a command-line script which reports on the encodings of one\nor more files::\n% chardetect somefile someotherfile\nsomefile: windows-1252 with confidence 0.5\nsomeotherfile: ascii with confidence 1.0\nAbout\n-----\nThis is a continuation of Mark Pilgrim's excellent chardet. Previously, two\nversions needed to be maintained: one that supported python 2.x and one that\nsupported python 3.x. We've recently merged with `Ian Cordasco <https://github.com/sigmavirus24>`_'s\n`charade <https://github.com/sigmavirus24/charade>`_ fork, so now we have one\ncoherent version that works for Python 2.6+.\n:maintainer: Dan Blanchard",
"home-page": "https://github.com/chardet/chardet",
"keywords": "encoding,i18n,xml",
"license": "LGPL",
"name": "chardet",
"platform": "UNKNOWN",
"summary": "Universal encoding detector for Python 2 and 3",
"version": "3.0.4"
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"result": {
"author": "Michele Simionato",
"author-email": "michele.simionato@gmail.com",
"classifier": "Development Status :: 5 - Production/Stable\nIntended Audience :: Developers\nLicense :: OSI Approved :: BSD License\nNatural Language :: English\nOperating System :: OS Independent\nProgramming Language :: Python\nProgramming Language :: Python :: 2\nProgramming Language :: Python :: 2.6\nProgramming Language :: Python :: 2.7\nProgramming Language :: Python :: 3\nProgramming Language :: Python :: 3.2\nProgramming Language :: Python :: 3.3\nProgramming Language :: Python :: 3.4\nProgramming Language :: Python :: 3.5\nProgramming Language :: Python :: 3.6\nProgramming Language :: Python :: Implementation :: CPython\nTopic :: Software Development :: Libraries\nTopic :: Utilities",
"description": "Decorator module\n=================\n:Author: Michele Simionato\n:E-mail: michele.simionato@gmail.com\n:Requires: Python from 2.6 to 3.6\n:Download page: http://pypi.python.org/pypi/decorator\n:Installation: ``pip install decorator``\n:License: BSD license\nInstallation\n-------------\nIf you are lazy, just perform\n`$ pip install decorator`\nwhich will install just the module on your system.\nIf you prefer to install the full distribution from source, including\nthe documentation, clone the `GitHub repo`_ or download the tarball_, unpack it and run\n`$ pip install .`\nin the main directory, possibly as superuser.\n.. _tarball: http://pypi.python.org/pypi/decorator\n.. _GitHub repo: https://github.com/micheles/decorator\nTesting\n--------\nIf you have the source code installation you can run the tests with\n`$ python src/tests/test.py -v`\nor (if you have setuptools installed)\n`$ python setup.py test`\nNotice that you may run into trouble if in your system there\nis an older version of the decorator module; in such a case remove the\nold version. It is safe even to copy the module `decorator.py` over\nan existing one, since we kept backward-compatibility for a long time.\nRepository\n---------------\nThe project is hosted on GitHub. You can look at the source here:\nhttps://github.com/micheles/decorator\nDocumentation\n---------------\nThe documentation has been moved to http://decorator.readthedocs.io/en/latest/\nYou can download a PDF version of it from http://media.readthedocs.org/pdf/decorator/latest/decorator.pdf",
"home-page": "https://github.com/micheles/decorator",
"keywords": "decorators generic utility",
"license": "new BSD License",
"name": "decorator",
"platform": "All",
"summary": "Better living through Python with decorators",
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"description": "Internationalized Domain Names in Applications (IDNA)\n=====================================================\nSupport for the Internationalised Domain Names in Applications\n(IDNA) protocol as specified in `RFC 5891 <http://tools.ietf.org/html/rfc5891>`_.\nThis is the latest version of the protocol and is sometimes referred to as\n\u201cIDNA 2008\u201d.\nThis library also provides support for Unicode Technical Standard 46,\n`Unicode IDNA Compatibility Processing <http://unicode.org/reports/tr46/>`_.\nThis acts as a suitable replacement for the \u201cencodings.idna\u201d module that\ncomes with the Python standard library, but only supports the\nold, deprecated IDNA specification (`RFC 3490 <http://tools.ietf.org/html/rfc3490>`_).\nBasic functions are simply executed:\n.. code-block:: pycon\n# Python 3\n>>> import idna\n>>> idna.encode('\u30c9\u30e1\u30a4\u30f3.\u30c6\u30b9\u30c8')\nb'xn--eckwd4c7c.xn--zckzah'\n>>> print(idna.decode('xn--eckwd4c7c.xn--zckzah'))\n\u30c9\u30e1\u30a4\u30f3.\u30c6\u30b9\u30c8\n# Python 2\n>>> import idna\n>>> idna.encode(u'\u30c9\u30e1\u30a4\u30f3.\u30c6\u30b9\u30c8')\n'xn--eckwd4c7c.xn--zckzah'\n>>> print idna.decode('xn--eckwd4c7c.xn--zckzah')\n\u30c9\u30e1\u30a4\u30f3.\u30c6\u30b9\u30c8\nPackages\n--------\nThe latest tagged release version is published in the PyPI repository:\n.. image:: https://badge.fury.io/py/idna.svg\n:target: http://badge.fury.io/py/idna\nInstallation\n------------\nTo install this library, you can use pip:\n.. code-block:: bash\n$ pip install idna\nAlternatively, you can install the package using the bundled setup script:\n.. code-block:: bash\n$ python setup.py install\nThis library works with Python 2.6 or later, and Python 3.3 or later.\nUsage\n-----\nFor typical usage, the ``encode`` and ``decode`` functions will take a domain\nname argument and perform a conversion to A-labels or U-labels respectively.\n.. code-block:: pycon\n# Python 3\n>>> import idna\n>>> idna.encode('\u30c9\u30e1\u30a4\u30f3.\u30c6\u30b9\u30c8')\nb'xn--eckwd4c7c.xn--zckzah'\n>>> print(idna.decode('xn--eckwd4c7c.xn--zckzah'))\n\u30c9\u30e1\u30a4\u30f3.\u30c6\u30b9\u30c8\nYou may use the codec encoding and decoding methods using the\n``idna.codec`` module:\n.. code-block:: pycon\n# Python 2\n>>> import idna.codec\n>>> print u'\u0434\u043e\u043c\u0435\u043d\u0430.\u0438\u0441\u043f\u044b\u0442\u0430\u043d\u0438\u0435'.encode('idna')\nxn--80ahd1agd.xn--80akhbyknj4f\n>>> print 'xn--80ahd1agd.xn--80akhbyknj4f'.decode('idna')\n\u0434\u043e\u043c\u0435\u043d\u0430.\u0438\u0441\u043f\u044b\u0442\u0430\u043d\u0438\u0435\nConversions can be applied at a per-label basis using the ``ulabel`` or ``alabel``\nfunctions if necessary:\n.. code-block:: pycon\n# Python 2\n>>> idna.alabel(u'\u6d4b\u8bd5')\n'xn--0zwm56d'\nCompatibility Mapping (UTS #46)\n+++++++++++++++++++++++++++++++\nAs described in `RFC 5895 <http://tools.ietf.org/html/rfc5895>`_, the IDNA\nspecification no longer normalizes input from different potential ways a user\nmay input a domain name. This functionality, known as a \u201cmapping\u201d, is now\nconsidered by the specification to be a local user-interface issue distinct\nfrom IDNA conversion functionality.\nThis library provides one such mapping, that was developed by the Unicode\nConsortium. Known as `Unicode IDNA Compatibility Processing <http://unicode.org/reports/tr46/>`_,\nit provides for both a regular mapping for typical applications, as well as\na transitional mapping to help migrate from older IDNA 2003 applications.\nFor example, \u201cK\u00f6nigsg\u00e4\u00dfchen\u201d is not a permissible label as *LATIN CAPITAL\nLETTER K* is not allowed (nor are capital letters in general). UTS 46 will\nconvert this into lower case prior to applying the IDNA conversion.\n.. code-block:: pycon\n# Python 3\n>>> import idna\n>>> idna.encode(u'K\u00f6nigsg\u00e4\u00dfchen')\n...\nidna.core.InvalidCodepoint: Codepoint U+004B at position 1 of 'K\u00f6nigsg\u00e4\u00dfchen' not allowed\n>>> idna.encode('K\u00f6nigsg\u00e4\u00dfchen', uts46=True)\nb'xn--knigsgchen-b4a3dun'\n>>> print(idna.decode('xn--knigsgchen-b4a3dun'))\nk\u00f6nigsg\u00e4\u00dfchen\nTransitional processing provides conversions to help transition from the older\n2003 standard to the current standard. For example, in the original IDNA\nspecification, the *LATIN SMALL LETTER SHARP S* (\u00df) was converted into two\n*LATIN SMALL LETTER S* (ss), whereas in the current IDNA specification this\nconversion is not performed.\n.. code-block:: pycon\n# Python 2\n>>> idna.encode(u'K\u00f6nigsg\u00e4\u00dfchen', uts46=True, transitional=True)\n'xn--knigsgsschen-lcb0w'\nImplementors should use transitional processing with caution, only in rare\ncases where conversion from legacy labels to current labels must be performed\n(i.e. IDNA implementations that pre-date 2008). For typical applications\nthat just need to convert labels, transitional processing is unlikely to be\nbeneficial and could produce unexpected incompatible results.\n``encodings.idna`` Compatibility\n++++++++++++++++++++++++++++++++\nFunction calls from the Python built-in ``encodings.idna`` module are\nmapped to their IDNA 2008 equivalents using the ``idna.compat`` module.\nSimply substitute the ``import`` clause in your code to refer to the\nnew module name.\nExceptions\n----------\nAll errors raised during the conversion following the specification should\nraise an exception derived from the ``idna.IDNAError`` base class.\nMore specific exceptions that may be generated as ``idna.IDNABidiError``\nwhen the error reflects an illegal combination of left-to-right and right-to-left\ncharacters in a label; ``idna.InvalidCodepoint`` when a specific codepoint is\nan illegal character in an IDN label (i.e. INVALID); and ``idna.InvalidCodepointContext``\nwhen the codepoint is illegal based on its positional context (i.e. it is CONTEXTO\nor CONTEXTJ but the contextual requirements are not satisfied.)\nTesting\n-------\nThe library has a test suite based on each rule of the IDNA specification, as\nwell as tests that are provided as part of the Unicode Technical Standard 46,\n`Unicode IDNA Compatibility Processing <http://unicode.org/reports/tr46/>`_.\nThe tests are run automatically on each commit at Travis CI:\n.. image:: https://travis-ci.org/kjd/idna.svg?branch=master\n:target: https://travis-ci.org/kjd/idna",
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"classifier": "Development Status :: 5 - Production/Stable\nIntended Audience :: Developers\nLicense :: OSI Approved :: BSD License\nProgramming Language :: Python\nProgramming Language :: Python :: 2\nProgramming Language :: Python :: 2.6\nProgramming Language :: Python :: 2.7\nProgramming Language :: Python :: 3\nProgramming Language :: Python :: 3.2\nProgramming Language :: Python :: 3.3\nProgramming Language :: Python :: 3.4\nProgramming Language :: Python :: 3.5\nProgramming Language :: Python :: 3.6\nTopic :: Software Development :: Libraries",
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"result": {
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"author-email": "me@kennethreitz.org",
"classifier": "Development Status :: 5 - Production/Stable\nIntended Audience :: Developers\nNatural Language :: English\nLicense :: OSI Approved :: Apache Software License\nProgramming Language :: Python\nProgramming Language :: Python :: 2\nProgramming Language :: Python :: 2.7\nProgramming Language :: Python :: 3\nProgramming Language :: Python :: 3.4\nProgramming Language :: Python :: 3.5\nProgramming Language :: Python :: 3.6\nProgramming Language :: Python :: 3.7\nProgramming Language :: Python :: Implementation :: CPython\nProgramming Language :: Python :: Implementation :: PyPy",
"description": "Requests: HTTP for Humans\u2122\n==========================\n[![image](https://img.shields.io/pypi/v/requests.svg)](https://pypi.org/project/requests/)\n[![image](https://img.shields.io/pypi/l/requests.svg)](https://pypi.org/project/requests/)\n[![image](https://img.shields.io/pypi/pyversions/requests.svg)](https://pypi.org/project/requests/)\n[![codecov.io](https://codecov.io/github/requests/requests/coverage.svg?branch=master)](https://codecov.io/github/requests/requests)\n[![image](https://img.shields.io/github/contributors/requests/requests.svg)](https://github.com/requests/requests/graphs/contributors)\n[![image](https://img.shields.io/badge/Say%20Thanks-!-1EAEDB.svg)](https://saythanks.io/to/kennethreitz)\n**If you're interested in financially supporting Kenneth Reitz open source, consider [visiting this link](https://cash.me/$KennethReitz). Your support helps tremendously with sustainability of motivation, as Open Source is no longer part of my day job.**\nRequests is the only *Non-GMO* HTTP library for Python, safe for human\nconsumption.\n![image](https://farm5.staticflickr.com/4317/35198386374_1939af3de6_k_d.jpg)\nBehold, the power of Requests:\n``` {.sourceCode .python}\n>>> r = requests.get('https://api.github.com/user', auth=('user', 'pass'))\n>>> r.status_code\n200\n>>> r.headers['content-type']\n'application/json; charset=utf8'\n>>> r.encoding\n'utf-8'\n>>> r.text\nu'{\"type\":\"User\"...'\n>>> r.json()\n{u'disk_usage': 368627, u'private_gists': 484, ...}\n```\nSee [the similar code, sans Requests](https://gist.github.com/973705).\n[![image](https://raw.githubusercontent.com/requests/requests/master/docs/_static/requests-logo-small.png)](http://docs.python-requests.org/)\nRequests allows you to send *organic, grass-fed* HTTP/1.1 requests,\nwithout the need for manual labor. There's no need to manually add query\nstrings to your URLs, or to form-encode your POST data. Keep-alive and\nHTTP connection pooling are 100% automatic, thanks to\n[urllib3](https://github.com/shazow/urllib3).\nBesides, all the cool kids are doing it. Requests is one of the most\ndownloaded Python packages of all time, pulling in over 11,000,000\ndownloads every month. You don't want to be left out!\nFeature Support\n---------------\nRequests is ready for today's web.\n- International Domains and URLs\n- Keep-Alive & Connection Pooling\n- Sessions with Cookie Persistence\n- Browser-style SSL Verification\n- Basic/Digest Authentication\n- Elegant Key/Value Cookies\n- Automatic Decompression\n- Automatic Content Decoding\n- Unicode Response Bodies\n- Multipart File Uploads\n- HTTP(S) Proxy Support\n- Connection Timeouts\n- Streaming Downloads\n- `.netrc` Support\n- Chunked Requests\nRequests officially supports Python 2.7 & 3.4\u20133.7, and runs great on\nPyPy.\nInstallation\n------------\nTo install Requests, simply use [pipenv](http://pipenv.org/) (or pip, of\ncourse):\n``` {.sourceCode .bash}\n$ pipenv install requests\n\u2728\ud83c\udf70\u2728\n```\nSatisfaction guaranteed.\nDocumentation\n-------------\nFantastic documentation is available at\n<http://docs.python-requests.org/>, for a limited time only.\nHow to Contribute\n-----------------\n1. Check for open issues or open a fresh issue to start a discussion\naround a feature idea or a bug. There is a [Contributor\nFriendly](https://github.com/requests/requests/issues?direction=desc&labels=Contributor+Friendly&page=1&sort=updated&state=open)\ntag for issues that should be ideal for people who are not very\nfamiliar with the codebase yet.\n2. Fork [the repository](https://github.com/requests/requests) on\nGitHub to start making your changes to the **master** branch (or\nbranch off of it).\n3. Write a test which shows that the bug was fixed or that the feature\nworks as expected.\n4. Send a pull request and bug the maintainer until it gets merged and\npublished. :) Make sure to add yourself to\n[AUTHORS](https://github.com/requests/requests/blob/master/AUTHORS.rst).",
"home-page": "http://python-requests.org",
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"classifier": "Environment :: Web Environment\nIntended Audience :: Developers\nLicense :: OSI Approved :: MIT License\nOperating System :: OS Independent\nProgramming Language :: Python\nProgramming Language :: Python :: 2\nProgramming Language :: Python :: 2.7\nProgramming Language :: Python :: 3\nProgramming Language :: Python :: 3.4\nProgramming Language :: Python :: 3.5\nProgramming Language :: Python :: 3.6\nProgramming Language :: Python :: Implementation :: CPython\nProgramming Language :: Python :: Implementation :: PyPy\nTopic :: Internet :: WWW/HTTP\nTopic :: Software Development :: Libraries",
"description": "urllib3\n=======\n.. image:: https://travis-ci.org/urllib3/urllib3.svg?branch=master\n:alt: Build status on Travis\n:target: https://travis-ci.org/urllib3/urllib3\n.. image:: https://img.shields.io/appveyor/ci/urllib3/urllib3/master.svg\n:alt: Build status on AppVeyor\n:target: https://ci.appveyor.com/project/urllib3/urllib3\n.. image:: https://readthedocs.org/projects/urllib3/badge/?version=latest\n:alt: Documentation Status\n:target: https://urllib3.readthedocs.io/en/latest/\n.. image:: https://img.shields.io/codecov/c/github/urllib3/urllib3.svg\n:alt: Coverage Status\n:target: https://codecov.io/gh/urllib3/urllib3\n.. image:: https://img.shields.io/pypi/v/urllib3.svg?maxAge=86400\n:alt: PyPI version\n:target: https://pypi.org/project/urllib3/\n.. image:: https://www.bountysource.com/badge/tracker?tracker_id=192525\n:alt: Bountysource\n:target: https://www.bountysource.com/trackers/192525-urllib3?utm_source=192525&utm_medium=shield&utm_campaign=TRACKER_BADGE\n.. image:: https://badges.gitter.im/python-urllib3/Lobby.svg\n:alt: Gitter\n:target: https://gitter.im/python-urllib3/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge\nurllib3 is a powerful, *sanity-friendly* HTTP client for Python. Much of the\nPython ecosystem already uses urllib3 and you should too.\nurllib3 brings many critical features that are missing from the Python\nstandard libraries:\n- Thread safety.\n- Connection pooling.\n- Client-side SSL/TLS verification.\n- File uploads with multipart encoding.\n- Helpers for retrying requests and dealing with HTTP redirects.\n- Support for gzip and deflate encoding.\n- Proxy support for HTTP and SOCKS.\n- 100% test coverage.\nurllib3 is powerful and easy to use::\n>>> import urllib3\n>>> http = urllib3.PoolManager()\n>>> r = http.request('GET', 'http://httpbin.org/robots.txt')\n>>> r.status\n200\n>>> r.data\n'User-agent: *\\nDisallow: /deny\\n'\nInstalling\n----------\nurllib3 can be installed with `pip <https://pip.pypa.io>`_::\n$ pip install urllib3\nAlternatively, you can grab the latest source code from `GitHub <https://github.com/urllib3/urllib3>`_::\n$ git clone git://github.com/urllib3/urllib3.git\n$ python setup.py install\nDocumentation\n-------------\nurllib3 has usage and reference documentation at `urllib3.readthedocs.io <https://urllib3.readthedocs.io>`_.\nContributing\n------------\nurllib3 happily accepts contributions. Please see our\n`contributing documentation <https://urllib3.readthedocs.io/en/latest/contributing.html>`_\nfor some tips on getting started.\nMaintainers\n-----------\n- `@theacodes <https://github.com/theacodes>`_ (Thea Flowers)\n- `@SethMichaelLarson <https://github.com/SethMichaelLarson>`_ (Seth M. Larson)\n- `@haikuginger <https://github.com/haikuginger>`_ (Jesse Shapiro)\n- `@lukasa <https://github.com/lukasa>`_ (Cory Benfield)\n- `@sigmavirus24 <https://github.com/sigmavirus24>`_ (Ian Cordasco)\n- `@shazow <https://github.com/shazow>`_ (Andrey Petrov)\n\ud83d\udc4b\nSponsorship\n-----------\nIf your company benefits from this library, please consider `sponsoring its\ndevelopment <https://urllib3.readthedocs.io/en/latest/contributing.html#sponsorship>`_.\nSponsors include:\n- Google Cloud Platform (2018-present), sponsors `@theacodes <https://github.com/theacodes>`_'s work on an ongoing basis\n- Abbott (2018-present), sponsors `@SethMichaelLarson <https://github.com/SethMichaelLarson>`_'s work on an ongoing basis\n- Akamai (2017-present), sponsors `@haikuginger <https://github.com/haikuginger>`_'s work on an ongoing basis\n- Hewlett Packard Enterprise (2016-2017), sponsored `@Lukasa\u2019s <https://github.com/Lukasa>`_ work on urllib3\nChanges\n=======\n1.24.2 (2019-04-17)\n-------------------\n* Don't load system certificates by default when any other ``ca_certs``, ``ca_certs_dir`` or\n``ssl_context`` parameters are specified.\n* Remove Authorization header regardless of case when redirecting to cross-site. (Issue #1510)\n* Add support for IPv6 addresses in subjectAltName section of certificates. (Issue #1269)\n1.24.1 (2018-11-02)\n-------------------\n* Remove quadratic behavior within ``GzipDecoder.decompress()`` (Issue #1467)\n* Restored functionality of ``ciphers`` parameter for ``create_urllib3_context()``. (Issue #1462)\n1.24 (2018-10-16)\n-----------------\n* Allow key_server_hostname to be specified when initializing a PoolManager to allow custom SNI to be overridden. (Pull #1449)\n* Test against Python 3.7 on AppVeyor. (Pull #1453)\n* Early-out ipv6 checks when running on App Engine. (Pull #1450)\n* Change ambiguous description of backoff_factor (Pull #1436)\n* Add ability to handle multiple Content-Encodings (Issue #1441 and Pull #1442)\n* Skip DNS names that can't be idna-decoded when using pyOpenSSL (Issue #1405).\n* Add a server_hostname parameter to HTTPSConnection which allows for\noverriding the SNI hostname sent in the handshake. (Pull #1397)\n* Drop support for EOL Python 2.6 (Pull #1429 and Pull #1430)\n* Fixed bug where responses with header Content-Type: message/* erroneously\nraised HeaderParsingError, resulting in a warning being logged. (Pull #1439)\n* Move urllib3 to src/urllib3 (Pull #1409)\n1.23 (2018-06-04)\n-----------------\n* Allow providing a list of headers to strip from requests when redirecting\nto a different host. Defaults to the ``Authorization`` header. Different\nheaders can be set via ``Retry.remove_headers_on_redirect``. (Issue #1316)\n* Fix ``util.selectors._fileobj_to_fd`` to accept ``long`` (Issue #1247).\n* Dropped Python 3.3 support. (Pull #1242)\n* Put the connection back in the pool when calling stream() or read_chunked() on\na chunked HEAD response. (Issue #1234)\n* Fixed pyOpenSSL-specific ssl client authentication issue when clients\nattempted to auth via certificate + chain (Issue #1060)\n* Add the port to the connectionpool connect print (Pull #1251)\n* Don't use the ``uuid`` module to create multipart data boundaries. (Pull #1380)\n* ``read_chunked()`` on a closed response returns no chunks. (Issue #1088)\n* Add Python 2.6 support to ``contrib.securetransport`` (Pull #1359)\n* Added support for auth info in url for SOCKS proxy (Pull #1363)\n1.22 (2017-07-20)\n-----------------\n* Fixed missing brackets in ``HTTP CONNECT`` when connecting to IPv6 address via\nIPv6 proxy. (Issue #1222)\n* Made the connection pool retry on ``SSLError``. The original ``SSLError``\nis available on ``MaxRetryError.reason``. (Issue #1112)\n* Drain and release connection before recursing on retry/redirect. Fixes\ndeadlocks with a blocking connectionpool. (Issue #1167)\n* Fixed compatibility for cookiejar. (Issue #1229)\n* pyopenssl: Use vendored version of ``six``. (Issue #1231)\n1.21.1 (2017-05-02)\n-------------------\n* Fixed SecureTransport issue that would cause long delays in response body\ndelivery. (Pull #1154)\n* Fixed regression in 1.21 that threw exceptions when users passed the\n``socket_options`` flag to the ``PoolManager``. (Issue #1165)\n* Fixed regression in 1.21 that threw exceptions when users passed the\n``assert_hostname`` or ``assert_fingerprint`` flag to the ``PoolManager``.\n(Pull #1157)\n1.21 (2017-04-25)\n-----------------\n* Improved performance of certain selector system calls on Python 3.5 and\nlater. (Pull #1095)\n* Resolved issue where the PyOpenSSL backend would not wrap SysCallError\nexceptions appropriately when sending data. (Pull #1125)\n* Selectors now detects a monkey-patched select module after import for modules\nthat patch the select module like eventlet, greenlet. (Pull #1128)\n* Reduced memory consumption when streaming zlib-compressed responses\n(as opposed to raw deflate streams). (Pull #1129)\n* Connection pools now use the entire request context when constructing the\npool key. (Pull #1016)\n* ``PoolManager.connection_from_*`` methods now accept a new keyword argument,\n``pool_kwargs``, which are merged with the existing ``connection_pool_kw``.\n(Pull #1016)\n* Add retry counter for ``status_forcelist``. (Issue #1147)\n* Added ``contrib`` module for using SecureTransport on macOS:\n``urllib3.contrib.securetransport``. (Pull #1122)\n* urllib3 now only normalizes the case of ``http://`` and ``https://`` schemes:\nfor schemes it does not recognise, it assumes they are case-sensitive and\nleaves them unchanged.\n(Issue #1080)\n1.20 (2017-01-19)\n-----------------\n* Added support for waiting for I/O using selectors other than select,\nimproving urllib3's behaviour with large numbers of concurrent connections.\n(Pull #1001)\n* Updated the date for the system clock check. (Issue #1005)\n* ConnectionPools now correctly consider hostnames to be case-insensitive.\n(Issue #1032)\n* Outdated versions of PyOpenSSL now cause the PyOpenSSL contrib module\nto fail when it is injected, rather than at first use. (Pull #1063)\n* Outdated versions of cryptography now cause the PyOpenSSL contrib module\nto fail when it is injected, rather than at first use. (Issue #1044)\n* Automatically attempt to rewind a file-like body object when a request is\nretried or redirected. (Pull #1039)\n* Fix some bugs that occur when modules incautiously patch the queue module.\n(Pull #1061)\n* Prevent retries from occurring on read timeouts for which the request method\nwas not in the method whitelist. (Issue #1059)\n* Changed the PyOpenSSL contrib module to lazily load idna to avoid\nunnecessarily bloating the memory of programs that don't need it. (Pull\n#1076)\n* Add support for IPv6 literals with zone identifiers. (Pull #1013)\n* Added support for socks5h:// and socks4a:// schemes when working with SOCKS\nproxies, and controlled remote DNS appropriately. (Issue #1035)\n1.19.1 (2016-11-16)\n-------------------\n* Fixed AppEngine import that didn't function on Python 3.5. (Pull #1025)\n1.19 (2016-11-03)\n-----------------\n* urllib3 now respects Retry-After headers on 413, 429, and 503 responses when\nusing the default retry logic. (Pull #955)\n* Remove markers from setup.py to assist ancient setuptools versions. (Issue\n#986)\n* Disallow superscripts and other integerish things in URL ports. (Issue #989)\n* Allow urllib3's HTTPResponse.stream() method to continue to work with\nnon-httplib underlying FPs. (Pull #990)\n* Empty filenames in multipart headers are now emitted as such, rather than\nbeing suppressed. (Issue #1015)\n* Prefer user-supplied Host headers on chunked uploads. (Issue #1009)\n1.18.1 (2016-10-27)\n-------------------\n* CVE-2016-9015. Users who are using urllib3 version 1.17 or 1.18 along with\nPyOpenSSL injection and OpenSSL 1.1.0 *must* upgrade to this version. This\nrelease fixes a vulnerability whereby urllib3 in the above configuration\nwould silently fail to validate TLS certificates due to erroneously setting\ninvalid flags in OpenSSL's ``SSL_CTX_set_verify`` function. These erroneous\nflags do not cause a problem in OpenSSL versions before 1.1.0, which\ninterprets the presence of any flag as requesting certificate validation.\nThere is no PR for this patch, as it was prepared for simultaneous disclosure\nand release. The master branch received the same fix in PR #1010.\n1.18 (2016-09-26)\n-----------------\n* Fixed incorrect message for IncompleteRead exception. (PR #973)\n* Accept ``iPAddress`` subject alternative name fields in TLS certificates.\n(Issue #258)\n* Fixed consistency of ``HTTPResponse.closed`` between Python 2 and 3.\n(Issue #977)\n* Fixed handling of wildcard certificates when using PyOpenSSL. (Issue #979)\n1.17 (2016-09-06)\n-----------------\n* Accept ``SSLContext`` objects for use in SSL/TLS negotiation. (Issue #835)\n* ConnectionPool debug log now includes scheme, host, and port. (Issue #897)\n* Substantially refactored documentation. (Issue #887)\n* Used URLFetch default timeout on AppEngine, rather than hardcoding our own.\n(Issue #858)\n* Normalize the scheme and host in the URL parser (Issue #833)\n* ``HTTPResponse`` contains the last ``Retry`` object, which now also\ncontains retries history. (Issue #848)\n* Timeout can no longer be set as boolean, and must be greater than zero.\n(PR #924)\n* Removed pyasn1 and ndg-httpsclient from dependencies used for PyOpenSSL. We\nnow use cryptography and idna, both of which are already dependencies of\nPyOpenSSL. (PR #930)\n* Fixed infinite loop in ``stream`` when amt=None. (Issue #928)\n* Try to use the operating system's certificates when we are using an\n``SSLContext``. (PR #941)\n* Updated cipher suite list to allow ChaCha20+Poly1305. AES-GCM is preferred to\nChaCha20, but ChaCha20 is then preferred to everything else. (PR #947)\n* Updated cipher suite list to remove 3DES-based cipher suites. (PR #958)\n* Removed the cipher suite fallback to allow HIGH ciphers. (PR #958)\n* Implemented ``length_remaining`` to determine remaining content\nto be read. (PR #949)\n* Implemented ``enforce_content_length`` to enable exceptions when\nincomplete data chunks are received. (PR #949)\n* Dropped connection start, dropped connection reset, redirect, forced retry,\nand new HTTPS connection log levels to DEBUG, from INFO. (PR #967)\n1.16 (2016-06-11)\n-----------------\n* Disable IPv6 DNS when IPv6 connections are not possible. (Issue #840)\n* Provide ``key_fn_by_scheme`` pool keying mechanism that can be\noverridden. (Issue #830)\n* Normalize scheme and host to lowercase for pool keys, and include\n``source_address``. (Issue #830)\n* Cleaner exception chain in Python 3 for ``_make_request``.\n(Issue #861)\n* Fixed installing ``urllib3[socks]`` extra. (Issue #864)\n* Fixed signature of ``ConnectionPool.close`` so it can actually safely be\ncalled by subclasses. (Issue #873)\n* Retain ``release_conn`` state across retries. (Issues #651, #866)\n* Add customizable ``HTTPConnectionPool.ResponseCls``, which defaults to\n``HTTPResponse`` but can be replaced with a subclass. (Issue #879)\n1.15.1 (2016-04-11)\n-------------------\n* Fix packaging to include backports module. (Issue #841)\n1.15 (2016-04-06)\n-----------------\n* Added Retry(raise_on_status=False). (Issue #720)\n* Always use setuptools, no more distutils fallback. (Issue #785)\n* Dropped support for Python 3.2. (Issue #786)\n* Chunked transfer encoding when requesting with ``chunked=True``.\n(Issue #790)\n* Fixed regression with IPv6 port parsing. (Issue #801)\n* Append SNIMissingWarning messages to allow users to specify it in\nthe PYTHONWARNINGS environment variable. (Issue #816)\n* Handle unicode headers in Py2. (Issue #818)\n* Log certificate when there is a hostname mismatch. (Issue #820)\n* Preserve order of request/response headers. (Issue #821)\n1.14 (2015-12-29)\n-----------------\n* contrib: SOCKS proxy support! (Issue #762)\n* Fixed AppEngine handling of transfer-encoding header and bug\nin Timeout defaults checking. (Issue #763)\n1.13.1 (2015-12-18)\n-------------------\n* Fixed regression in IPv6 + SSL for match_hostname. (Issue #761)\n1.13 (2015-12-14)\n-----------------\n* Fixed ``pip install urllib3[secure]`` on modern pip. (Issue #706)\n* pyopenssl: Fixed SSL3_WRITE_PENDING error. (Issue #717)\n* pyopenssl: Support for TLSv1.1 and TLSv1.2. (Issue #696)\n* Close connections more defensively on exception. (Issue #734)\n* Adjusted ``read_chunked`` to handle gzipped, chunk-encoded bodies without\nrepeatedly flushing the decoder, to function better on Jython. (Issue #743)\n* Accept ``ca_cert_dir`` for SSL-related PoolManager configuration. (Issue #758)\n1.12 (2015-09-03)\n-----------------\n* Rely on ``six`` for importing ``httplib`` to work around\nconflicts with other Python 3 shims. (Issue #688)\n* Add support for directories of certificate authorities, as supported by\nOpenSSL. (Issue #701)\n* New exception: ``NewConnectionError``, raised when we fail to establish\na new connection, usually ``ECONNREFUSED`` socket error.\n1.11 (2015-07-21)\n-----------------\n* When ``ca_certs`` is given, ``cert_reqs`` defaults to\n``'CERT_REQUIRED'``. (Issue #650)\n* ``pip install urllib3[secure]`` will install Certifi and\nPyOpenSSL as dependencies. (Issue #678)\n* Made ``HTTPHeaderDict`` usable as a ``headers`` input value\n(Issues #632, #679)\n* Added `urllib3.contrib.appengine <https://urllib3.readthedocs.io/en/latest/contrib.html#google-app-engine>`_\nwhich has an ``AppEngineManager`` for using ``URLFetch`` in a\nGoogle AppEngine environment. (Issue #664)\n* Dev: Added test suite for AppEngine. (Issue #631)\n* Fix performance regression when using PyOpenSSL. (Issue #626)\n* Passing incorrect scheme (e.g. ``foo://``) will raise\n``ValueError`` instead of ``AssertionError`` (backwards\ncompatible for now, but please migrate). (Issue #640)\n* Fix pools not getting replenished when an error occurs during a\nrequest using ``release_conn=False``. (Issue #644)\n* Fix pool-default headers not applying for url-encoded requests\nlike GET. (Issue #657)\n* log.warning in Python 3 when headers are skipped due to parsing\nerrors. (Issue #642)\n* Close and discard connections if an error occurs during read.\n(Issue #660)\n* Fix host parsing for IPv6 proxies. (Issue #668)\n* Separate warning type SubjectAltNameWarning, now issued once\nper host. (Issue #671)\n* Fix ``httplib.IncompleteRead`` not getting converted to\n``ProtocolError`` when using ``HTTPResponse.stream()``\n(Issue #674)\n1.10.4 (2015-05-03)\n-------------------\n* Migrate tests to Tornado 4. (Issue #594)\n* Append default warning configuration rather than overwrite.\n(Issue #603)\n* Fix streaming decoding regression. (Issue #595)\n* Fix chunked requests losing state across keep-alive connections.\n(Issue #599)\n* Fix hanging when chunked HEAD response has no body. (Issue #605)\n1.10.3 (2015-04-21)\n-------------------\n* Emit ``InsecurePlatformWarning`` when SSLContext object is missing.\n(Issue #558)\n* Fix regression of duplicate header keys being discarded.\n(Issue #563)\n* ``Response.stream()`` returns a generator for chunked responses.\n(Issue #560)\n* Set upper-bound timeout when waiting for a socket in PyOpenSSL.\n(Issue #585)\n* Work on platforms without `ssl` module for plain HTTP requests.\n(Issue #587)\n* Stop relying on the stdlib's default cipher list. (Issue #588)\n1.10.2 (2015-02-25)\n-------------------\n* Fix file descriptor leakage on retries. (Issue #548)\n* Removed RC4 from default cipher list. (Issue #551)\n* Header performance improvements. (Issue #544)\n* Fix PoolManager not obeying redirect retry settings. (Issue #553)\n1.10.1 (2015-02-10)\n-------------------\n* Pools can be used as context managers. (Issue #545)\n* Don't re-use connections which experienced an SSLError. (Issue #529)\n* Don't fail when gzip decoding an empty stream. (Issue #535)\n* Add sha256 support for fingerprint verification. (Issue #540)\n* Fixed handling of header values containing commas. (Issue #533)\n1.10 (2014-12-14)\n-----------------\n* Disabled SSLv3. (Issue #473)\n* Add ``Url.url`` property to return the composed url string. (Issue #394)\n* Fixed PyOpenSSL + gevent ``WantWriteError``. (Issue #412)\n* ``MaxRetryError.reason`` will always be an exception, not string.\n(Issue #481)\n* Fixed SSL-related timeouts not being detected as timeouts. (Issue #492)\n* Py3: Use ``ssl.create_default_context()`` when available. (Issue #473)\n* Emit ``InsecureRequestWarning`` for *every* insecure HTTPS request.\n(Issue #496)\n* Emit ``SecurityWarning`` when certificate has no ``subjectAltName``.\n(Issue #499)\n* Close and discard sockets which experienced SSL-related errors.\n(Issue #501)\n* Handle ``body`` param in ``.request(...)``. (Issue #513)\n* Respect timeout with HTTPS proxy. (Issue #505)\n* PyOpenSSL: Handle ZeroReturnError exception. (Issue #520)\n1.9.1 (2014-09-13)\n------------------\n* Apply socket arguments before binding. (Issue #427)\n* More careful checks if fp-like object is closed. (Issue #435)\n* Fixed packaging issues of some development-related files not\ngetting included. (Issue #440)\n* Allow performing *only* fingerprint verification. (Issue #444)\n* Emit ``SecurityWarning`` if system clock is waaay off. (Issue #445)\n* Fixed PyOpenSSL compatibility with PyPy. (Issue #450)\n* Fixed ``BrokenPipeError`` and ``ConnectionError`` handling in Py3.\n(Issue #443)\n1.9 (2014-07-04)\n----------------\n* Shuffled around development-related files. If you're maintaining a distro\npackage of urllib3, you may need to tweak things. (Issue #415)\n* Unverified HTTPS requests will trigger a warning on the first request. See\nour new `security documentation\n<https://urllib3.readthedocs.io/en/latest/security.html>`_ for details.\n(Issue #426)\n* New retry logic and ``urllib3.util.retry.Retry`` configuration object.\n(Issue #326)\n* All raised exceptions should now wrapped in a\n``urllib3.exceptions.HTTPException``-extending exception. (Issue #326)\n* All errors during a retry-enabled request should be wrapped in\n``urllib3.exceptions.MaxRetryError``, including timeout-related exceptions\nwhich were previously exempt. Underlying error is accessible from the\n``.reason`` property. (Issue #326)\n* ``urllib3.exceptions.ConnectionError`` renamed to\n``urllib3.exceptions.ProtocolError``. (Issue #326)\n* Errors during response read (such as IncompleteRead) are now wrapped in\n``urllib3.exceptions.ProtocolError``. (Issue #418)\n* Requesting an empty host will raise ``urllib3.exceptions.LocationValueError``.\n(Issue #417)\n* Catch read timeouts over SSL connections as\n``urllib3.exceptions.ReadTimeoutError``. (Issue #419)\n* Apply socket arguments before connecting. (Issue #427)\n1.8.3 (2014-06-23)\n------------------\n* Fix TLS verification when using a proxy in Python 3.4.1. (Issue #385)\n* Add ``disable_cache`` option to ``urllib3.util.make_headers``. (Issue #393)\n* Wrap ``socket.timeout`` exception with\n``urllib3.exceptions.ReadTimeoutError``. (Issue #399)\n* Fixed proxy-related bug where connections were being reused incorrectly.\n(Issues #366, #369)\n* Added ``socket_options`` keyword parameter which allows to define\n``setsockopt`` configuration of new sockets. (Issue #397)\n* Removed ``HTTPConnection.tcp_nodelay`` in favor of\n``HTTPConnection.default_socket_options``. (Issue #397)\n* Fixed ``TypeError`` bug in Python 2.6.4. (Issue #411)\n1.8.2 (2014-04-17)\n------------------\n* Fix ``urllib3.util`` not being included in the package.\n1.8.1 (2014-04-17)\n------------------\n* Fix AppEngine bug of HTTPS requests going out as HTTP. (Issue #356)\n* Don't install ``dummyserver`` into ``site-packages`` as it's only needed\nfor the test suite. (Issue #362)\n* Added support for specifying ``source_address``. (Issue #352)\n1.8 (2014-03-04)\n----------------\n* Improved url parsing in ``urllib3.util.parse_url`` (properly parse '@' in\nusername, and blank ports like 'hostname:').\n* New ``urllib3.connection`` module which contains all the HTTPConnection\nobjects.\n* Several ``urllib3.util.Timeout``-related fixes. Also changed constructor\nsignature to a more sensible order. [Backwards incompatible]\n(Issues #252, #262, #263)\n* Use ``backports.ssl_match_hostname`` if it's installed. (Issue #274)\n* Added ``.tell()`` method to ``urllib3.response.HTTPResponse`` which\nreturns the number of bytes read so far. (Issue #277)\n* Support for platforms without threading. (Issue #289)\n* Expand default-port comparison in ``HTTPConnectionPool.is_same_host``\nto allow a pool with no specified port to be considered equal to to an\nHTTP/HTTPS url with port 80/443 explicitly provided. (Issue #305)\n* Improved default SSL/TLS settings to avoid vulnerabilities.\n(Issue #309)\n* Fixed ``urllib3.poolmanager.ProxyManager`` not retrying on connect errors.\n(Issue #310)\n* Disable Nagle's Algorithm on the socket for non-proxies. A subset of requests\nwill send the entire HTTP request ~200 milliseconds faster; however, some of\nthe resulting TCP packets will be smaller. (Issue #254)\n* Increased maximum number of SubjectAltNames in ``urllib3.contrib.pyopenssl``\nfrom the default 64 to 1024 in a single certificate. (Issue #318)\n* Headers are now passed and stored as a custom\n``urllib3.collections_.HTTPHeaderDict`` object rather than a plain ``dict``.\n(Issue #329, #333)\n* Headers no longer lose their case on Python 3. (Issue #236)\n* ``urllib3.contrib.pyopenssl`` now uses the operating system's default CA\ncertificates on inject. (Issue #332)\n* Requests with ``retries=False`` will immediately raise any exceptions without\nwrapping them in ``MaxRetryError``. (Issue #348)\n* Fixed open socket leak with SSL-related failures. (Issue #344, #348)\n1.7.1 (2013-09-25)\n------------------\n* Added granular timeout support with new ``urllib3.util.Timeout`` class.\n(Issue #231)\n* Fixed Python 3.4 support. (Issue #238)\n1.7 (2013-08-14)\n----------------\n* More exceptions are now pickle-able, with tests. (Issue #174)\n* Fixed redirecting with relative URLs in Location header. (Issue #178)\n* Support for relative urls in ``Location: ...`` header. (Issue #179)\n* ``urllib3.response.HTTPResponse`` now inherits from ``io.IOBase`` for bonus\nfile-like functionality. (Issue #187)\n* Passing ``assert_hostname=False`` when creating a HTTPSConnectionPool will\nskip hostname verification for SSL connections. (Issue #194)\n* New method ``urllib3.response.HTTPResponse.stream(...)`` which acts as a\ngenerator wrapped around ``.read(...)``. (Issue #198)\n* IPv6 url parsing enforces brackets around the hostname. (Issue #199)\n* Fixed thread race condition in\n``urllib3.poolmanager.PoolManager.connection_from_host(...)`` (Issue #204)\n* ``ProxyManager`` requests now include non-default port in ``Host: ...``\nheader. (Issue #217)\n* Added HTTPS proxy support in ``ProxyManager``. (Issue #170 #139)\n* New ``RequestField`` object can be passed to the ``fields=...`` param which\ncan specify headers. (Issue #220)\n* Raise ``urllib3.exceptions.ProxyError`` when connecting to proxy fails.\n(Issue #221)\n* Use international headers when posting file names. (Issue #119)\n* Improved IPv6 support. (Issue #203)\n1.6 (2013-04-25)\n----------------\n* Contrib: Optional SNI support for Py2 using PyOpenSSL. (Issue #156)\n* ``ProxyManager`` automatically adds ``Host: ...`` header if not given.\n* Improved SSL-related code. ``cert_req`` now optionally takes a string like\n\"REQUIRED\" or \"NONE\". Same with ``ssl_version`` takes strings like \"SSLv23\"\nThe string values reflect the suffix of the respective constant variable.\n(Issue #130)\n* Vendored ``socksipy`` now based on Anorov's fork which handles unexpectedly\nclosed proxy connections and larger read buffers. (Issue #135)\n* Ensure the connection is closed if no data is received, fixes connection leak\non some platforms. (Issue #133)\n* Added SNI support for SSL/TLS connections on Py32+. (Issue #89)\n* Tests fixed to be compatible with Py26 again. (Issue #125)\n* Added ability to choose SSL version by passing an ``ssl.PROTOCOL_*`` constant\nto the ``ssl_version`` parameter of ``HTTPSConnectionPool``. (Issue #109)\n* Allow an explicit content type to be specified when encoding file fields.\n(Issue #126)\n* Exceptions are now pickleable, with tests. (Issue #101)\n* Fixed default headers not getting passed in some cases. (Issue #99)\n* Treat \"content-encoding\" header value as case-insensitive, per RFC 2616\nSection 3.5. (Issue #110)\n* \"Connection Refused\" SocketErrors will get retried rather than raised.\n(Issue #92)\n* Updated vendored ``six``, no longer overrides the global ``six`` module\nnamespace. (Issue #113)\n* ``urllib3.exceptions.MaxRetryError`` contains a ``reason`` property holding\nthe exception that prompted the final retry. If ``reason is None`` then it\nwas due to a redirect. (Issue #92, #114)\n* Fixed ``PoolManager.urlopen()`` from not redirecting more than once.\n(Issue #149)\n* Don't assume ``Content-Type: text/plain`` for multi-part encoding parameters\nthat are not files. (Issue #111)\n* Pass `strict` param down to ``httplib.HTTPConnection``. (Issue #122)\n* Added mechanism to verify SSL certificates by fingerprint (md5, sha1) or\nagainst an arbitrary hostname (when connecting by IP or for misconfigured\nservers). (Issue #140)\n* Streaming decompression support. (Issue #159)\n1.5 (2012-08-02)\n----------------\n* Added ``urllib3.add_stderr_logger()`` for quickly enabling STDERR debug\nlogging in urllib3.\n* Native full URL parsing (including auth, path, query, fragment) available in\n``urllib3.util.parse_url(url)``.\n* Built-in redirect will switch method to 'GET' if status code is 303.\n(Issue #11)\n* ``urllib3.PoolManager`` strips the scheme and host before sending the request\nuri. (Issue #8)\n* New ``urllib3.exceptions.DecodeError`` exception for when automatic decoding,\nbased on the Content-Type header, fails.\n* Fixed bug with pool depletion and leaking connections (Issue #76). Added\nexplicit connection closing on pool eviction. Added\n``urllib3.PoolManager.clear()``.\n* 99% -> 100% unit test coverage.\n1.4 (2012-06-16)\n----------------\n* Minor AppEngine-related fixes.\n* Switched from ``mimetools.choose_boundary`` to ``uuid.uuid4()``.\n* Improved url parsing. (Issue #73)\n* IPv6 url support. (Issue #72)\n1.3 (2012-03-25)\n----------------\n* Removed pre-1.0 deprecated API.\n* Refactored helpers into a ``urllib3.util`` submodule.\n* Fixed multipart encoding to support list-of-tuples for keys with multiple\nvalues. (Issue #48)\n* Fixed multiple Set-Cookie headers in response not getting merged properly in\nPython 3. (Issue #53)\n* AppEngine support with Py27. (Issue #61)\n* Minor ``encode_multipart_formdata`` fixes related to Python 3 strings vs\nbytes.\n1.2.2 (2012-02-06)\n------------------\n* Fixed packaging bug of not shipping ``test-requirements.txt``. (Issue #47)\n1.2.1 (2012-02-05)\n------------------\n* Fixed another bug related to when ``ssl`` module is not available. (Issue #41)\n* Location parsing errors now raise ``urllib3.exceptions.LocationParseError``\nwhich inherits from ``ValueError``.\n1.2 (2012-01-29)\n----------------\n* Added Python 3 support (tested on 3.2.2)\n* Dropped Python 2.5 support (tested on 2.6.7, 2.7.2)\n* Use ``select.poll`` instead of ``select.select`` for platforms that support\nit.\n* Use ``Queue.LifoQueue`` instead of ``Queue.Queue`` for more aggressive\nconnection reusing. Configurable by overriding ``ConnectionPool.QueueCls``.\n* Fixed ``ImportError`` during install when ``ssl`` module is not available.\n(Issue #41)\n* Fixed ``PoolManager`` redirects between schemes (such as HTTP -> HTTPS) not\ncompleting properly. (Issue #28, uncovered by Issue #10 in v1.1)\n* Ported ``dummyserver`` to use ``tornado`` instead of ``webob`` +\n``eventlet``. Removed extraneous unsupported dummyserver testing backends.\nAdded socket-level tests.\n* More tests. Achievement Unlocked: 99% Coverage.\n1.1 (2012-01-07)\n----------------\n* Refactored ``dummyserver`` to its own root namespace module (used for\ntesting).\n* Added hostname verification for ``VerifiedHTTPSConnection`` by vendoring in\nPy32's ``ssl_match_hostname``. (Issue #25)\n* Fixed cross-host HTTP redirects when using ``PoolManager``. (Issue #10)\n* Fixed ``decode_content`` being ignored when set through ``urlopen``. (Issue\n#27)\n* Fixed timeout-related bugs. (Issues #17, #23)\n1.0.2 (2011-11-04)\n------------------\n* Fixed typo in ``VerifiedHTTPSConnection`` which would only present as a bug if\nyou're using the object manually. (Thanks pyos)\n* Made RecentlyUsedContainer (and consequently PoolManager) more thread-safe by\nwrapping the access log in a mutex. (Thanks @christer)\n* Made RecentlyUsedContainer more dict-like (corrected ``__delitem__`` and\n``__getitem__`` behaviour), with tests. Shouldn't affect core urllib3 code.\n1.0.1 (2011-10-10)\n------------------\n* Fixed a bug where the same connection would get returned into the pool twice,\ncausing extraneous \"HttpConnectionPool is full\" log warnings.\n1.0 (2011-10-08)\n----------------\n* Added ``PoolManager`` with LRU expiration of connections (tested and\ndocumented).\n* Added ``ProxyManager`` (needs tests, docs, and confirmation that it works\nwith HTTPS proxies).\n* Added optional partial-read support for responses when\n``preload_content=False``. You can now make requests and just read the headers\nwithout loading the content.\n* Made response decoding optional (default on, same as before).\n* Added optional explicit boundary string for ``encode_multipart_formdata``.\n* Convenience request methods are now inherited from ``RequestMethods``. Old\nhelpers like ``get_url`` and ``post_url`` should be abandoned in favour of\nthe new ``request(method, url, ...)``.\n* Refactored code to be even more decoupled, reusable, and extendable.\n* License header added to ``.py`` files.\n* Embiggened the documentation: Lots of Sphinx-friendly docstrings in the code\nand docs in ``docs/`` and on https://urllib3.readthedocs.io/.\n* Embettered all the things!\n* Started writing this file.\n0.4.1 (2011-07-17)\n------------------\n* Minor bug fixes, code cleanup.\n0.4 (2011-03-01)\n----------------\n* Better unicode support.\n* Added ``VerifiedHTTPSConnection``.\n* Added ``NTLMConnectionPool`` in contrib.\n* Minor improvements.\n0.3.1 (2010-07-13)\n------------------\n* Added ``assert_host_name`` optional parameter. Now compatible with proxies.\n0.3 (2009-12-10)\n----------------\n* Added HTTPS support.\n* Minor bug fixes.\n* Refactored, broken backwards compatibility with 0.2.\n* API to be treated as stable from this version forward.\n0.2 (2008-11-17)\n----------------\n* Added unit tests.\n* Bug fixes.\n0.1 (2008-11-16)\n----------------\n* First release.",
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"classifier": "Development Status :: 7 - Inactive\nIntended Audience :: Developers\nIntended Audience :: System Administrators\nOperating System :: POSIX :: Linux\nLicense :: OSI Approved :: GNU General Public License v2 (GPLv2)\nProgramming Language :: Python\nProgramming Language :: Python :: 2\nProgramming Language :: Python :: 2.7\nProgramming Language :: Python :: 3\nProgramming Language :: Python :: 3.5\nProgramming Language :: Python :: 3.6\nProgramming Language :: Python :: 3.7\nProgramming Language :: Python :: Implementation :: CPython\nTopic :: Software Development :: Libraries\nTopic :: System :: Networking",
"description": "Python ethtool module\n=====================\n*Python bindings for the ethtool kernel interface*\nThe Python ``ethtool`` module allows querying and partially controlling network\ninterfaces, driver, and hardware settings.\n.. warning::\nThis is the new upstream for python-ethtool maintained by Fedora's\nPython SIG. We ported it to Python 3 and only maintain it for the current\ntools to keep working. **No new development is happening. This is a\ndeprecated package.** If you are considering to start using this, please\ndon't. We recommend `netifaces <https://pypi.org/project/netifaces/>`_ instead.\nInstallation\n------------\nThe easiest way to install ``ethtool`` is to use your distribution packages\nrepositories. For example:\n**Fedora**: ``sudo dnf install python3-ethtool`` or ``sudo dnf install python2-ethtool``\n**Ubuntu**: ``sudo apt install python-ethtool``\nIn order to install ``ethtool`` from source or PyPI install its dependencies first:\n**Fedora**: ``sudo dnf install libnl3-devel gcc redhat-rpm-config python3-devel``\n**Ubuntu**: ``sudo apt install python3 python3-setuptools libpython3.6-dev libnl-route-3-dev``\nAnd then install ``ethtool``:\n**from PyPI**: ``pip3 install ethtool``\n**from source**: ``python3 setup.py install``\nUsage\n-----\n``ethtool`` may be used as a Python library::\n>>> import ethtool\n>>> ethtool.get_active_devices()\n['lo', 'enp0s31f6', 'wlp4s0', 'virbr0', 'docker0', 'virbr1', 'eth0', 'tun0']\n>>> ethtool.get_ipaddr('lo')\n'127.0.0.1'\nThe ``ethtool`` package also provides the ``pethtool`` and ``pifconfig`` utilities. More example usage may be gathered from their sources,\n`pethtool.py <https://github.com/fedora-python/python-ethtool/blob/master/scripts/pethtool>`_\nand\n`pifconfig.py <https://github.com/fedora-python/python-ethtool/blob/master/scripts/pethtool>`_.\n``pethtool`` mimics behavior of the ``ethtool`` utility, but does not\nsupport all options.\ne.g., to get driver information on the ``eth0`` interface::\n$ pethtool -i eth0\ndriver: cdc_ether\nbus-info: usb-0000:00:14.0-4.1.3\nAnalogically, ``pifconfig`` mimics ``ifconfig`` in usage. It may be\nused to view information on an interface::\n$ pifconfig lo\nlo\ninet addr:127.0.0.1 Mask:255.0.0.0\ninet6 addr: ::1/128 Scope: host\nUP LOOPBACK RUNNING\nFurther usage information may be found in the respective manpages for\n`pethtool <https://github.com/fedora-python/python-ethtool/blob/master/man/pethtool.8.asciidoc>`_\nand\n`pifconfig <https://github.com/fedora-python/python-ethtool/blob/master/man/pifconfig.8.asciidoc>`_.\nTests\n-----\nTests may be run by ``tox``.\nAuthors\n-------\n* Andy Grover\n* Antoni S. Puimedon\n* Arnaldo Carvalho de Melo\n* Bohuslav Kabrda\n* Bra\u0148o N\u00e1ter\n* Dave Malcolm\n* David S. Miller\n* David Sommerseth\n* Harald Hoyer\n* Charalampos Stratakis\n* Jeff Garzik\n* Lumir Balhar\n* Miro Hron\u010dok\n* Miroslav Such\u00fd\n* Ruben Kerkhof\n* Sanqui\n* Yaakov Selkowitz\nCurrent maintainers\n-------------------\n* Lum\u00edr Balhar <lbalhar@redhat.com>\n* Miro Hron\u010dok <mhroncok@redhat.com>\n* Charalampos Stratakis <cstratak@redhat.com>\n* Sanqui <dlabsky@redhat.com>\nContributing\n------------\nFeel free to help us with improving test coverage, porting to Python 3\nor anything else.\nIssues and PRs `on GitHub <https://github.com/fedora-python/python-ethtool>`_\nare welcome.\nLicense\n-------\nThe Python ``ethtool`` project is free software distributed under the terms of\nthe GNU General Public License v2.0, see\n`COPYING <https://github.com/fedora-python/python-ethtool/blob/master/COPYING>`_.\nChangelog\n=========\n0.14\n----\nWed Sep 12 2018 Miro Hron\u010dok <mhroncok@redhat.com>\n- Declared project as bugfix only from now on\n- Support Python 3.7\n- Fix important issues reported by static analysis\n- Fix installation on non-UTF-8 locales on Python 3.5 and 3.6\n- Added set_gso(), get_gro() and set_gro() functions\n- Added installation instructions\n0.13\n----\nTue Jun 13 2017 Miro Hron\u010dok <mhroncok@redhat.com>\n- First release on PyPI\n- Supports both Python 2.7 and 3.5+\n- Dropped support for Python 2.6\n- Upstream URL changed to https://github.com/fedora-python/python-ethtool\n- Introduced a basic README file\n- PEP7 and PEP8 (code style) improvements\n- Fix compilation errors on modern Fedoras\n0.12\n----\nTue Mar 21 2017 Charalampos Stratakis <cstratak@redhat.com>\n- First attempt at python3 support\n0.11\n----\nThu May 8 2014 David Sommerseth <davids@redhat.com>\n- Improved error handling several places\n- Ensure that we get a valid libnl NETLINK connection when connecting\n- URL updates to SPEC file\n0.10\n----\nFri Jan 10 2014 David Sommerseth <davids@redhat.com>\n- Not really a full release, but a preliminary release to get more wide testing\n- FSF Copyright updates\n- Build fixes\n- Mostly code cleanup\n0.9\n---\nWed Dec 11 2013 David Sommerseth <davids@redhat.com>\n- Fixed get_active_devices() for IPv6 only interfaces\n- Moved from libnl1 to libnl3\n- Refactor PyNetlink*Address implementation\n0.8\n---\nTue Feb 19 2013 David Malcolm <dmalcolm@redhat.com>\n- Enable IPv6 in pifethtool example\n- Code cleanup, fixing buffer overflows, memory leaks, etc\n0.7\n---\nMon Apr 11 2011 David Sommerseth <davids@redhat.com>\n- Fixed several memory leaks (commit aa2c20e697af, abc7f912f66d)\n- Improved error checking towards NULL values(commit 4e928d62a8e3)\n- Fixed typo in pethtool --help (commit 710766dc722)\n- Only open a NETLINK connection when needed (commit 508ffffbb3c)\n- Added man page for pifconfig and pethtool (commit 9f0d17aa532, rhbz#638475)\n- Force NETLINK socket to close on fork() using FD_CLOEXEC (commit 1680cbeb40e)\n0.6\n---\nWed Jan 19 2011 David Sommerseth <davids@redhat.com>\n- Don't segfault if we don't receive any address from rtnl_link_get_addr()\n- Remove errornous file from MANIFEST\n- Added ethtool.version string constant\n- Avoid duplicating IPv6 address information\n- import sys module in setup.py (Miroslav Suchy)\n0.5\n---\nMon Aug 9 2010 David Sommerseth <davids@redhat.com>\n- Fixed double free issue (commit c52ed2cbdc5b851ebc7b)\n0.4\n---\nWed Apr 28 2010 David Sommerseth <davids@redhat.com>\n- David Sommerseth is now taking over the maintenance of python-ethtool\n- New URLs for upstream source code\n- Added new API: ethtool.get_interfaces_info() - returns list of etherinfo objects\n- Added support retrieving for IPv6 address, using etherinfo::get_ipv6_addresses()\n0.3\n---\nTue Aug 26 2008 Arnaldo Carvalho de Melo <acme@redhat.com>\n- Add get_flags method from the first python-ethtool contributor, yay\n- Add pifconfig command, that mimics the ifconfig tool using the\nbindings available\n0.2\n---\nWed Aug 20 2008 Arnaldo Carvalho de Melo <acme@redhat.com>\n- Expand description and summary fields, as part of the fedora\nreview process.\n0.1\n---\nTue Dec 18 2007 Arnaldo Carvalho de Melo <acme@redhat.com>\n- Get ethtool code from rhpl 0.212",
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