{ "info": { "author": "red_pills", "author_email": "redpillsworkspace@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Information Technology", "Intended Audience :: Manufacturing", "Intended Audience :: Other Audience", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Text Processing :: Linguistic" ], "description": "**PyThesaurus**\n***************\n|build-status| \n\nObituary \n\"\"\"\"\"\"\"\"\" \n\n**PyThesaurus**\n\n(31st Dec 2017 - 4th Aug 2018)\n\nWith great grief and sorrow, Redpills mourn the demise of Pythesaurus - A pip package which gets you the thesaurus of an inputted word from the best dictionary sites available online. \n\nAt the core, she was a web scraper. A good one. She helped numerous developers out there to meet the needs on NLP, Text processing and Mining. They fell head over heels for her. She made us proud by serving her purpose for them. \n\nBut at the end of the day, being a scraper was her biggest weakness as well. She can't be scaled to production. Moreover, the sites she hunted in the past with great fury, gradually changed. She became a dull blade to get information from them. At her death bed, she crashed multiple times and faced a barrage of criticism.\n\nYou were our first kiddo. Like Bilal for Mary Teacher. You'll be remembered forever.\n\nRest in peace dear one! We will miss you! \n\nTeam \n\nWorkaround\n\"\"\"\"\"\"\"\"\"\"\"\n\nThough she will kept at PyPI, there won't be any further updates or support from the team. You may use Oxford Dictionary API for your purpose in future.)\nLink: https://developer.oxforddictionaries.com/ \n\nDescription\n\"\"\"\"\"\"\"\"\"\"\"\n\nThis package gets you the thesaurus of an inputted word from the best dictionary sites available online. \n\n- `Thesaurus.com `_\n\n- `Dictionary.com `_ \n\nWhy you need this package?\n\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n\nThough python provides lexical resources like WordNet, the variety it can provide is poor. The rich content the `dictionary.com` or the `thesaurus.com` provides will help the user to enhance their approaches when he/she is dealing with text mining, NLP techniques and much more. \n\nHow to install? \n\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n\nUse basic pip install to install this library. \n::\n\n pip install py_thesaurus \n\nRelease Notes\n\"\"\"\"\"\"\"\"\"\"\"\"\"\n\nVersion 1.0.4 (2018-04-03)\n--------------------------\n\n- A good samaritan of us named Mr. mpkasa spotted an `UnboundedLocalError` rat. \t\n\n\"By the breath of God they perish, And by the blast of His anger they come to an end\" - Job Chapter 4 Verse 9\n\nVersion 1.0.3 (2018-01-13)\n--------------------------\n\n- Solved dependency issue of `lxml`. \n- Fixed a bug on command line implementation. \n- Issue tracker link is added in README to report bugs and suggests features.\n\n\nVersion 1.0 (2017-12-31)\n------------------------\n\n- Sometimes you need to disagree in life, we added a feature to get antonyms of an inputted word.\n- Synonyms are not a pile of related words anymore. You want synonyms of \u2018love\u2019 as a \u2018noun\u2019, you get synonyms of \u2018love\u2019 as a \u2018noun\u2019. Period.\n- We love everyone being one of a kind, there will not be any duplicates in output lists anymore.\n- Output lists are more refined and ordered by relevance since disciplined is new sexy. \n- 0.95 is a decimal but 0.9.5 has a meaning in software development. We got it late but happily adapted to Semantic Versioning.\n- Several other bugs are brutally killed during the development of this package. No prayers.\n\nHow to use PyThesaurus?\n\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n\n1. From python shell \n--------------------\n::\n\n from py_thesaurus import Thesaurus\n\n input_word = \"dream\"\n\n new_instance = Thesaurus(input_word)\n\n # Get the synonyms according to part of speech\n # Default part of speech is noun\n\n print(new_instance.get_synonym()) \n \n print(new_instance.get_synonym(pos='verb'))\n\n print(new_instance.get_synonym(pos='adj'))\n \n # Get the definitions \n\n print(new_instance.get_definition())\n\n # Get the antonyms \n\n print(new_instance.get_antonym())\n\n2. From command line\n--------------------\n\nPositional arguments\n::\n\n word --> Word to get definition/synonym/antonym for\n\n\nOptional arguments\n::\n\n -h or --help Show this help message and exit\n -d get definition\n -s {noun,verb,adj} get POS specific synonyms\n -a get antonyms\n\nCommand\n::\n\n py_thesaurus [-h] [-d] [-s {noun,verb,adj}] [-a] word\n\n py_thesaurus -d -s verb -a dream\n\n\nContact\n\"\"\"\"\"\"\"\n\n\nBitbucket: https://bitbucket.org/redpills01/py_thesaurus.git .\n\nIssue tracker: https://bitbucket.org/redpills01/py_thesaurus/issues . \n\nemail: redpillsworkspace@gmail.com \n\n---------------------------------------------------------------------------------\n\nMade with Love by Redpills :) \n\n.. |build-status| image:: https://redpillsworkspace.visualstudio.com/_apis/public/build/definitions/ab439b9d-52c8-4080-94cd-f72bbd1aa1db/2/badge\n :alt: build status\n :scale: 100%\n :target: https://bitbucket.org/redpills01/py_thesaurus/issues", 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