Locally, I witnessed very slow tests. Profiling with Visual VM
revealed a lot of time spent in `wait`.
Digging in, we were trying to be clever, with a `wait(1000)/notify`
mechanism. However, there were never multiple threads in play, so the
waiter wasn't waiting when `notify` was invoked. That means we always
timed out. I think this never worked and using bare `wait()` would
have revealed that.
Anyway, `CountDownLatch` maintains the one bit of state (was I
notified) and generalizes smoothly to when we have threads.
Steps to building docs locally:
1. Install Jekyll
2. cd docs
3. bundle exec jekyll serve --incremental
4. open local docs site at http://127.0.0.1:4000/
* basic Jekyll site
* Add docs to documentation site
* Update javadoc to allow for error free builds
* Remove docs for rust dependencies
* Better display examples, about and contributing documentation for Mentat
* Version docs
* Add an IntelliJ section to gitignore
* Add Android SDK sample project which exercises mentat SDK
* Symlink libmentat_ffi.so in Android SDK to the generated --release files
* README files for Android SDK and mentat_ffi
`CacheDirection` enum is used only on the Android side to provide a usable interface. FFI calls are more explicit.
Tests ensure that a cached query is faster than the uncached one.
Documents the FFI layer for Mentat, and provides transaction functionality via an EDN string. Creates two native libraries for iOS (Swift) and Android (Java) and fully tests the FFI for both platforms.
Closes#619#614#611
