{"repository_name":"github.com/watzon/apatite","body":"# Apatite\n\nApatite is meant to be a collecion of mathmatical and scientific computing algorithms for the Crystal programming language. I don't expect it to ever reach the level of completeness as numpy, but hopefully it can save some people the trouble of implementing these methods on their own.\n\n## Installation\n\n1. Add the dependency to your `shard.yml`:\n\n ```yaml\n dependencies:\n apatite:\n github: watzon/apatite\n ```\n\n2. Run `shards install`\n\n## Usage\n\n```crystal\nrequire \"apatite\"\n```\n\nTODO: Write usage instructions here, but first write the library...\n\n## Roadmap\n\n- [ ] Apetite\n\t- [ ] Vector Math\n\t\t- [ ] Matrix\n\t\t- [ ] NDArray\n\t\t- [x] Vector\n\t\t- [ ] Line\n\t\t- [ ] Plane\n\t\t- [ ] Polygon\n\t\t- [ ] LinkedList\n\t\n\n\n## Contributing\n\n1. Fork it (<https://github.com/watzon/apatite/fork>)\n2. Create your feature branch (`git checkout -b my-new-feature`)\n3. Commit your changes (`git commit -am 'Add some feature'`)\n4. Push to the branch (`git push origin my-new-feature`)\n5. Create a new Pull Request\n\n## Contributors\n\n- [Chris Watson](https://github.com/watzon) - creator and maintainer","program":{"html_id":"github.com/watzon/apatite/toplevel","path":"toplevel.html","kind":"module","full_name":"Top Level Namespace","name":"Top Level Namespace","abstract":false,"superclass":null,"ancestors":[],"locations":[],"repository_name":"github.com/watzon/apatite","program":true,"enum":false,"alias":false,"aliased":"","const":false,"constants":[],"included_modules":[],"extended_modules":[],"subclasses":[],"including_types":[],"namespace":null,"doc":null,"summary":null,"class_methods":[],"constructors":[],"instance_methods":[],"macros":[],"types":[{"html_id":"github.com/watzon/apatite/Apatite","path":"Apatite.html","kind":"module","full_name":"Apatite","name":"Apatite","abstract":false,"superclass":null,"ancestors":[{"html_id":"github.com/watzon/apatite/Apatite/LinearAlgebra","kind":"module","full_name":"Apatite::LinearAlgebra","name":"LinearAlgebra"}],"locations":[{"filename":"apatite/linear_algebra/ndarray.cr","line_number":1,"url":"https://github.com/watzon/apatite/blob/49a30afcc07bc5354f335c6a6fb5244ed514b63b/src/apatite/linear_algebra/ndarray.cr"},{"filename":"apatite/linear_algebra.cr","line_number":5,"url":"https://github.com/watzon/apatite/blob/49a30afcc07bc5354f335c6a6fb5244ed514b63b/src/apatite/linear_algebra.cr"},{"filename":"apatite.cr","line_number":10,"url":"https://github.com/watzon/apatite/blob/49a30afcc07bc5354f335c6a6fb5244ed514b63b/src/apatite.cr"},{"filename":"apatite/version.cr","line_number":1,"url":"https://github.com/watzon/apatite/blob/49a30afcc07bc5354f335c6a6fb5244ed514b63b/src/apatite/version.cr"}],"repository_name":"github.com/watzon/apatite","program":false,"enum":false,"alias":false,"aliased":"","const":false,"constants":[{"id":"I","name":"I","value":"Vector::I","doc":"Cartesian unit vector I\n\n`Vector{1.0, 0.0, 0.0}`","summary":"<p>Cartesian unit vector I</p>"},{"id":"J","name":"J","value":"Vector::J","doc":"Cartesian unit vector J\n\n`Vector{0.0, 1.0, 0.0}`","summary":"<p>Cartesian unit vector J</p>"},{"id":"K","name":"K","value":"Vector::K","doc":"Cartesian unit vector K\n\n`Vector{0.0, 0.0, 1.0}`","summary":"<p>Cartesian unit vector K</p>"},{"id":"VERSION","name":"VERSION","value":"\"0.1.0\"","doc":null,"summary":null}],"included_modules":[{"html_id":"github.com/watzon/apatite/Apatite/LinearAlgebra","kind":"module","full_name":"Apatite::LinearAlgebra","name":"LinearAlgebra"}],"extended_modules":[{"html_id":"github.com/watzon/apatite/Apatite","kind":"module","full_name":"Apatite","name":"Apatite"}],"subclasses":[],"including_types":[],"namespace":null,"doc":"Apatite is a fundimental package for scientific computing in Crystal. If that\nsounds like a modified version of the first line from the NumPy homepage,\nthat's because it is. Apatite has (ok, will have) all of the goodness\nof NumPy sitting atop the blazing speed and beautiful syntax\nof Crystal.","summary":"<p>Apatiteisa
