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        "description": "# pyconcepticon\n\nTooling to access and curate [Concepticon data](https://github.com/concepticon/concepticon-data).\n\n[![Build Status](https://github.com/concepticon/pyconcepticon/workflows/tests/badge.svg)](https://github.com/concepticon/pyconcepticon/actions?query=workflow%3Atests)\n[![codecov](https://codecov.io/gh/concepticon/pyconcepticon/branch/master/graph/badge.svg)](https://codecov.io/gh/concepticon/pyconcepticon)\n[![PyPI](https://img.shields.io/pypi/v/pyconcepticon.svg)](https://pypi.org/project/pyconcepticon)\n\n\n## Installation\n\n`pyconcepticon` can be installed from [PyPI](https://pypi.python.org/pypi) running\n```shell script\npip install pyconcepticon\n```\n\nNote that `pyconcepticon` requires a clone or export of the [concepticon data repository](https://github.com/clld/concepticon-data).\n\n\n## Usage\n\nTo use `pyconcepticon` you must have a local copy of the Concepticon data, i.e. either\n\n* the sources of a [released version](https://github.com/concepticon/concepticon-data/releases), as provided in the **Downloads** \n  section of a release, or\n* a clone of this repository (or your personal fork of it).\n* or a released version of the data as archived on [ZENODO](https://doi.org/10.5281/zenodo.596412).\n\n\n### Python API\n\nAssuming you have downloaded release 1.2.0 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1313461.svg)](https://doi.org/10.5281/zenodo.1313461)\nand unpacked the sources to a directory `clld-concepticon-data-41d2bf0`, you can access\nthe data as follows:\n```python\n>>> from pyconcepticon import Concepticon\n>>> api = Concepticon('clld-concepticon-data-41d2bf0')\n>>> conceptlist = list(api.conceptlists.values())[0]\n>>> conceptlist.author\n'Perrin, Lo\u00efc-Michel'\n>>> conceptlist.tags\n['annotated']\n>>> len(conceptlist.concepts)\n110\n>>> list(conceptlist.concepts.values())[0]\nConcept(\n    id='Perrin-2010-110-1', number='1', concepticon_id='1906', concepticon_gloss='SOUR', gloss=None, \n    english='ACID', attributes={'german': 'sauer', 'french': 'acide'}, \n    _list=Conceptlist(\n        _api=<pyconcepticon.api.Concepticon object at 0x7f31693be518>, \n        id='Perrin-2010-110', author='Perrin, Lo\u00efc-Michel', year=2010, list_suffix='', items=110, \n        tags=['annotated'], source_language=['english', 'french', 'german'], \n        target_language='Global', \n        url='https://journals.dartmouth.edu/cgi-bin/WebObjects/Journals.woa/xmlpage/1/article/353?htmlOnce=yes', \n        refs=['Perrin2010'], pdf=['Perrin2010'], \n        note='This list was used as an initial questionnaire for colexification studies on a world-wide sample of languages.', \n        pages='276f', alias=[], local=False))\n```\n\n### Command line interface\n\nHaving installed `pyconcepticon`, you can also directly query concept lists via the terminal command \n`concepticon`. To learn about the functionality it provides run\n```shell script\n$ concepticon -h\nusage: concepticon [-h] [--log-level LOG_LEVEL] [--repos REPOS]\n                   [--repos-version REPOS_VERSION]\n                   COMMAND ...\n\noptional arguments:\n  -h, --help            show this help message and exit\n  --log-level LOG_LEVEL\n                        log level [ERROR|WARN|INFO|DEBUG] (default: 20)\n  --repos REPOS         clone of concepticon/concepticon-data\n  --repos-version REPOS_VERSION\n                        version of repository data. Requires a git clone!\n                        (default: None)\n\navailable commands:\n  Run \"COMAMND -h\" to get help for a specific command.\n\n  COMMAND\n    attributes          Print all columns in concept lists that contain\n                        surplus information.\n...\n```\n\nTo learn about individual subcommands run `concepticon COMMAND -h`, e.g.\n```shell script\n$ concepticon intersection -h\nusage: concepticon intersection [-h] CONCEPTLIST [CONCEPTLIST ...]\n\nCompute the intersection of concepts for a number of concept lists.\n\nNotes\n-----\nThis takes concept relations into account by searching for each concept\nset for broader concept sets in the depth of two edges on the network. If\none concept A in one list is broader than concept B in another list, the\nconcept A will be retained, and this will be marked in output. If two lists\nshare the same broader concept, they will also be retained, but only, if\nnone of the narrower concepts match. As a default we use a depth of 2 for\nthe search.\n\npositional arguments:\n  CONCEPTLIST  Path to (or ID of) concept list in TSV format\n\noptional arguments:\n  -h, --help   show this help message and exit\n```\n\nAn example of the intersection between two lists looks as follows:\n\n```shell script\n$ concepticon --repos=clld-concepticon-data-41d2bf0 intersection Swadesh-1955-100 Swadesh-1952-200\n```\n\nThis yields an output of 93 lines, which look as follows:\n\n```shell\n 69  SKIN                    [763 ] SKIN (HUMAN) (1, Swadesh-1952-200)\n 70  SLEEP                   [1585]\n 71  SMALL                   [1246]\n 72  SMOKE (EXHAUST)         [778 ]\n```\n\nThe output can interpreted as follows: The first number shows the number in the intersection of items \n(alphabetically ordered, following the Concepticon gloss). 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