Lrama
Lrama is LALR (1) parser generator written by Ruby. The first goal of this project is providing error tolerant parser for CRuby with minimal changes on CRuby parse.y file.
- Features
- Installation
- Usage
- Documentation
- Versions and Branches
- Supported Ruby version
- Development
- Release flow
- License
Features
- Bison style grammar file is supported with some assumptions
- b4_locations_if is always true
- b4_pure_if is always true
- b4_pull_if is always false
- b4_lac_if is always false
- Error Tolerance parser
- Subset of Repairing Syntax Errors in LR Parsers (Corchuelo et al.) algorithm is supported
- Parameterizing rules
- The definition of a non-terminal symbol can be parameterized with other (terminal or non-terminal) symbols.
- Providing a generic definition of parameterizing rules as a standard library.
- Inlining
- The %inline directive causes all references to symbols to be replaced with its definition.
- Resolve shift/reduce conflicts without artificially altering the grammar file.
Installation
$ gem install lrama
From source codes,
$ cd "$(lrama root)"
$ bundle install
$ bundle exec rake install
$ bundle exec lrama --version
0.5.0
Usage
# "y.tab.c" and "y.tab.h" are generated
$ lrama -d sample/parse.y
# "calc", "calc.c", and "calc.h" are generated
$ lrama -d sample/calc.y -o calc.c && gcc -Wall calc.c -o calc && ./calc
Enter the formula:
1
=> 1
1+2*3
=> 7
(1+2)*3
=> 9
Documentation
https://ruby.github.io/lrama/ provides a comprehensive guide to Lrama's features and usage.
Versions and Branches
v0_7 (master branch)
This branch is for Ruby 3.5. lrama_0_7 branch is created from this branch, once Ruby 3.5 is released.
v0_6 (lrama_0_6 branch)
This branch is for Ruby 3.4.
v0_5 (lrama_0_5 branch)
This branch is for Ruby 3.3.
v0_4 (lrama_0_4 branch)
This branch generates "parse.c" compatible with Bison 3.8.2 for ruby 3.0, 3.1, 3.2. The first version migrated to ruby is "0.4.0" therefore keep this branch for Bison compatible branch.
Supported Ruby version
Lrama is executed with BASERUBY when building ruby from source code. Therefore Lrama needs to support BASERUBY, currently 2.5, or later version.
This also requires Lrama to be able to run with only default gems because BASERUBY runs with --disable=gems option.
Development
How to generate parser.rb
$ bundle exec rake build:parser
parser.rb is generated from parser.y by Racc.
Run the rake command when you update parser.y then commit changes of both files.
How to Write a Type Signature
We use Steep for type checking and rbs-inline for type declarations.
Currently, type signatures are declared in the sig/lrama directory. However, these files will be replaced with rbs-inline. This means type signatures should be written directly in the source code.
For guidance on writing type signatures, refer to the Syntax Guide in the rbs-inline documentation.
Test
Running tests:
$ bundle install
$ bundle exec rspec
# or
$ bundle exec rake spec
Running type check:
$ bundle install
$ bundle exec rbs collection install
$ bundle exec steep check
# or
$ bundle exec rake steep
Running both of them:
$ bundle install
$ bundle exec rake
Call-stack Profiling Lrama
1. Create parse.tmp.y in ruby/ruby
$ ruby tool/id2token.rb parse.y > parse.tmp.y
$ cp parse.tmp.y dir/lrama/tmp
2. Enable Profiler
diff --git a/exe/lrama b/exe/lrama
index ba5fb06..2497178 100755
--- a/exe/lrama
+++ b/exe/lrama
@@ -3,4 +3,6 @@
$LOAD_PATH << File.join(__dir__, "../lib")
require "lrama"
-Lrama::Command.new.run(ARGV.dup)
+Lrama::Report::Profile.report_profile do
+ Lrama::Command.new.run(ARGV.dup)
+end
3. Run Lrama
$ exe/lrama -o parse.tmp.c --header=parse.tmp.h tmp/parse.tmp.y
4. Generate Flamegraph
$ stackprof --d3-flamegraph tmp/stackprof-cpu-myapp.dump > tmp/flamegraph.html
Memory Profiling Lrama
1. Create parse.tmp.y in ruby/ruby
$ ruby tool/id2token.rb parse.y > parse.tmp.y
$ cp parse.tmp.y dir/lrama/tmp
2. Enable Profiler
diff --git a/exe/lrama b/exe/lrama
index 1aece5d141..f5f94cf7fa 100755
--- a/exe/lrama
+++ b/exe/lrama
@@ -3,5 +3,9 @@
$LOAD_PATH << File.join(__dir__, "../lib")
require "lrama"
+require 'memory_profiler'
-Lrama::Command.new.run(ARGV.dup)
+report = MemoryProfiler.report do
+ Lrama::Command.new.run(ARGV.dup)
+end
+report.pretty_print
3. Run Lrama
$ exe/lrama -o parse.tmp.c --header=parse.tmp.h tmp/parse.tmp.y > report.txt
Build Ruby
- Install Lrama
- Run
make main
Release flow
- Update
Lrama::VERSIONand NEWS.md - Release as a gem by
rake release - Update Lrama in ruby/ruby by
cp -r LEGAL.md NEWS.md MIT exe lib template ruby/tool/lrama - Create new release on GitHub
License
See LEGAL.md file.