{ "info": { "author": "Jeremy Retailleau", "author_email": "", "bugtrack_url": null, "classifiers": [], "description": "#####\nJound\n#####\n\nJound is a Python program which can invent new words from the analysis of a\nlist of words.\n\nIt can analyze a text and assemble all words it contains to a file. This list\nof words can then be analyzed in order to generate a statistical file which\nrecords the number of occurrences of each letter after a particular combination\nof two letters. Finally, the statistical file can be used in order to generate\nwords using a `Markov chain`_.\n\n.. code-block:: bash\n\n >>> jound assemble Moby_Dick.txt\n [jound] INFO: Assemble words from target: Moby_Dick.txt\n [jound] INFO: Writing 7756 words to ./words.txt\n\n >>> jound analyze words.txt\n [jound] INFO: Generate statistics from target: words.txt\n [jound] INFO: Writing statistics to ./stats.bin\n\n >>> jound generate 10 -s stats.bin\n gook\n shancity\n ruts\n woure\n duchic\n appermoven\n speriatrawk\n gantinge\n faltch\n jound\n\n\nThis project was inspired by this excellent article:\n`La machine \u00e0 inventer des mots`_ (in French)\n\n\n.. _Markov chain: https://en.wikipedia.org/wiki/Markov_chain\n.. _La machine \u00e0 inventer des mots: https://sciencetonnante.wordpress.com/2015/10/16/la-machine-a-inventer-des-mots-video/", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://github.com/buddly27/jound", "keywords": "word,generator,markov,chain", "license": "", "maintainer": "", "maintainer_email": "", "name": "jound", "package_url": "https://pypi.org/project/jound/", "platform": "", "project_url": "https://pypi.org/project/jound/", "project_urls": { "Homepage": "http://github.com/buddly27/jound" }, "release_url": "https://pypi.org/project/jound/0.1.0/", "requires_dist": null, "requires_python": "", "summary": "Word generator using a Markov chain", "version": "0.1.0" }, "last_serial": 3327426, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "13e3371379291132da3a8eb36dcd65c8", "sha256": "9a2321fb5b087d2cade62a91f42cbacae756200bc38ade1786ee4b67cf202b16" }, "downloads": -1, "filename": "jound-0.1.0.tar.gz", "has_sig": false, "md5_digest": "13e3371379291132da3a8eb36dcd65c8", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8796, "upload_time": "2017-11-13T02:28:24", "url": "https://files.pythonhosted.org/packages/eb/34/808d274a83a0693976ca2339d699b5d4c8a5ef1b23b99a9d78e8a8ff9b41/jound-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "13e3371379291132da3a8eb36dcd65c8", "sha256": "9a2321fb5b087d2cade62a91f42cbacae756200bc38ade1786ee4b67cf202b16" }, "downloads": -1, "filename": "jound-0.1.0.tar.gz", "has_sig": false, "md5_digest": "13e3371379291132da3a8eb36dcd65c8", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8796, "upload_time": "2017-11-13T02:28:24", "url": "https://files.pythonhosted.org/packages/eb/34/808d274a83a0693976ca2339d699b5d4c8a5ef1b23b99a9d78e8a8ff9b41/jound-0.1.0.tar.gz" } ] }