7cc2a6801b
* fix rewards points * fixups * * verify that we don't spend more in rewards than we've allocated for rewards * purge f64s from calculations that could be done with integers * test typical values * simplify iteration over delegations some * fixups * Use try_from * Add a comment for commission_split() * Add assertion to detect inconsistent reward dist. * Fix vote_balance_and_staked * Don't overwrite accounts with stale copies * Fix CI... * Add tests for vote_balance_and_staked * Add test for the determinism of update_rewards * Revert "Don't overwrite accounts with stale copies" This reverts commit 9886d085a69d695f48970f48f2f567e62ba05414. * Make stake_delegation_accounts to return hashmap Co-authored-by: Ryo Onodera <ryoqun@gmail.com>
Building
1. Install rustc, cargo and rustfmt.
$ curl https://sh.rustup.rs -sSf | sh
$ source $HOME/.cargo/env
$ rustup component add rustfmt
If your rustc version is lower than 1.39.0, please update it:
$ rustup update
On Linux systems you may need to install libssl-dev, pkg-config, zlib1g-dev, etc. On Ubuntu:
$ sudo apt-get update
$ sudo apt-get install libssl-dev libudev-dev pkg-config zlib1g-dev llvm clang
2. Download the source code.
$ git clone https://github.com/solana-labs/solana.git
$ cd solana
3. Build.
$ cargo build
4. Run a minimal local cluster.
$ ./run.sh
Testing
Run the test suite:
$ cargo test
Starting a local testnet
Start your own testnet locally, instructions are in the online docs.
Accessing the remote testnet
testnet- public stable testnet accessible via devnet.solana.com. Runs 24/7
Benchmarking
First install the nightly build of rustc. cargo bench requires use of the
unstable features only available in the nightly build.
$ rustup install nightly
Run the benchmarks:
$ cargo +nightly bench
Release Process
The release process for this project is described here.
Code coverage
To generate code coverage statistics:
$ scripts/coverage.sh
$ open target/cov/lcov-local/index.html
Why coverage? While most see coverage as a code quality metric, we see it primarily as a developer productivity metric. When a developer makes a change to the codebase, presumably it's a solution to some problem. Our unit-test suite is how we encode the set of problems the codebase solves. Running the test suite should indicate that your change didn't infringe on anyone else's solutions. Adding a test protects your solution from future changes. Say you don't understand why a line of code exists, try deleting it and running the unit-tests. The nearest test failure should tell you what problem was solved by that code. If no test fails, go ahead and submit a Pull Request that asks, "what problem is solved by this code?" On the other hand, if a test does fail and you can think of a better way to solve the same problem, a Pull Request with your solution would most certainly be welcome! Likewise, if rewriting a test can better communicate what code it's protecting, please send us that patch!
Disclaimer
All claims, content, designs, algorithms, estimates, roadmaps, specifications, and performance measurements described in this project are done with the author's best effort. It is up to the reader to check and validate their accuracy and truthfulness. Furthermore nothing in this project constitutes a solicitation for investment.