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Collins and Christian Coulon","url":"https://musicintelligence.co/"},"license":"AGPL-3.0-or-later","homepage":"https://github.com/tomthecollins/maia-markov#readme","keywords":["intelligence","artificial","music","math"],"repository":{"type":"git","url":"git+ssh://git@github.com/tomthecollins/maia-markov.git"},"description":"Markov analysis and generation functions supporting various applications by Music Artificial Intelligence Algorithms, Inc.","maintainers":[{"name":"tomthecollins","email":"tomthecollins@gmail.com"}],"readme":"MAIA Markov\n==============\n\nMarkov-based analysis and generation functions supporting various applications by Music Artificial Intelligence Algorithms, Inc.\n\n## Local Installation\n\nSet yourself up with an installation of [Node.js](https://nodejs.org/). Then open up a terminal window and navigate to a directory where you want to experiment with MAIA Markov.\n\n### User\n\nIn the terminal window, execute\n```bash\nnpm install maia-markov --save\n```\nwhich should make a node_modules folder that contains MAIA Markov and its dependencies.\n\nMake yourself a new JavaScript (plain-text) file – [Atom](https://atom.io/) is a good editor for such purposes – and copy/paste the first three lines of code from the hello-world example below. Save the file as something like hello_world.js at the same level as node_modules (not inside it).\n\nReturn to the terminal and execute\n```bash\nnode hello_world.js\n```\nwhich should run the hello_world.js script you just wrote, giving the output\n```bash\nans: [0, 0, 0, 2], [0, 7, 4, 1], [1, 9, 5, 0.5], [1.5, 7, 4, 0.5]\n```\nYou have started to use MAIA Markov!\n\n### Developer\n\nWith [Node.js](https://nodejs.org/) set up, clone the MAIA Markov repository from [here](https://bitbucket.org/tomthecollins/maia-markov/) and run `npm install` to acquire the dependencies. Some packages, such as Rollup, might need a general install.\n\nPlease follow these steps when making additions or changes:\n\n1. Additions or changes to the code should be made in the es6 folder;\n2. When documenting, follow the JSDoc format used therein;\n3. Write unit tests below each method/function;\n4. Execute `npm run compile` to convert the various components in the es6 into the corresponding components in the dist folder, and to combine them into an IIFE (called maia-markov.js, in the root of the repository);\n5. Execute `jsdoc --configure .jsdoc.config.js es6` to update the documentation, which gets written to the docs folder, and check it looks good and reads well;\n6. Say in step 1 you added a new file to the es6 folder called hello_world.js, then now it's time to check on your unit tests by executing `node hello_world.js` and seeing whether the `console.log()`s match your expected output;\n7. Once you are satisfied with your unit tests, comment them out and paste them to test/index.js, following the chai format used therein. Execute `npm test` to verify that there are ticks everywhere and in particular that your new tests are being invoked;\n8. Do the usual `git add .`, `git commit -m \"Short meaningful message\"`, and `git push`, and we'll see it on the other side as a pull request;\n9. There should not be any need for you to edit the version in package.json;\n10. Please keep any data files out of the repository by editing the .gitignore file.\n\n## Hello-world example\n\n```javascript\nconst mm = require('maia-markov')\nconst ps = [\n  [0, 60, 60, 2], [0, 67, 64, 1],\n  [1, 69, 65, 0.5], [1.5, 67, 64, 0.5]\n]\nlet an = new mm.Analyzer()\nconst ans = an.centre_point_set([0, 0], ps)\nconsole.log('ans:', ans)\n```\n\n## Tests\n\nTBD\n\n## Contributing\n\nTBD\n\n## Release History\n\n* 0.1.14-15 Fixed bugs in Music XML import.\n* 0.1.13 Fixed a bug in MIDI export.\n* 0.1.9-12 Included a melody extraction algorithm.\n* 0.1.9-12 Included a melody extraction algorithm.\n* 0.1.7-8 Bug fix of protected word \"export\"\n* 0.1.4-6 Added stm and initial distribution construction, pruning and file-writing methods into the Analyzer class.\n* 0.1.3 Fixed a bug with coincident channels in MIDI import.\n* 0.1.2 Added some extra instruments to extract_vocal().\n* 0.1.1 Working on scenic_path().\n* 0.0.72-73 Fixed ontime correction bug.\n* 0.0.70-71 Switched unique_rows(ps, true) in for sort_rows(ps) in MidiImport, in order to address issue of MIDI files containing duplicate points.\n* 0.0.64-69 Use of timelapse objects in new version of MAIA Util, and some debugging of MidiImport's get_points().\n* 0.0.63 Better MIDI import/export/import management.\n* 0.0.60-62 Added some track-extract methods to the MidiImport class.\n* 0.0.57-59 Multitrack MIDI export including control changes.\n* 0.0.51-56 Added musicXml property alongside midi property under miscImport, and deprecated miscXml, to conform with the Composition object spec.\n* 0.0.50 More imported MIDI properties included in MidiImport, including control changes.\n* 0.0.45-49 Corrected an error involving undefined time signatures.\n* 0.0.32-44 Working on a new version of XmlImport whose XML converter respects the order of entries.\n* 0.0.31 Edited note_point_set2comp_obj() so that quantisation will not be applied if the set of fractions is null.\n* 0.0.30 Added a MidiExport class.\n* 0.0.29 Fixed bug in comp_obj2beat_mnn_states().\n* 0.0.7-28 Working on import capabilities.\n* 0.0.6 Tagged for the submission to the AI Music Generation Challenge 2020. Some bug fixes as well, e.g. to get_phrase_boundary_ontimes() in the MidiImport class (this didn't affect the excerpts generated for the listening study).\n* 0.0.5 Tagged for Alex's listening study and (separately).\n* 0.0.4 Continuing to refactor code from the examples folder into the package itself.\n* 0.0.3 Fixed bug in analysis code and refactored analyze.js and generate.js into classes.\n* 0.0.2 Many code components still in the wrong places, but wanted to tag a version for generating the material for AI Eurovision 2020.\n* 0.0.0 Initial release\n","readmeFilename":"README.md"}