40 releases (stable)
| 3.0.3 | Dec 11, 2025 |
|---|---|
| 2.5.2 | Nov 27, 2025 |
| 2.5.0 | Jul 27, 2025 |
| 2.3.2 | Jan 28, 2025 |
| 0.1.3 | Nov 14, 2023 |
#56 in Math
1MB
4.5K
SLoC
Rust LP File Parser, Writer, and Diff Tool
Overview
A robust Rust library for parsing, modifying, and writing Linear Programming (LP) files. Built on the LALRPOP parser generator, this crate provides comprehensive support for the LP file format with the ability to parse, programmatically modify, and regenerate LP files according to major industry specifications.
The Grammar is defined with the lp.lalrpop file - should you be curious...
Supported Specifications
Features
Core Functionality
-
Problem Definition
- Problem name and sense specification
- Single and multi-objective optimisation support
- Comprehensive constraint handling
-
Variable Support
- Integer, general, bounded, free, semi-continuous variables
-
LP File Writing and Modification
- Generate LP files from parsed problems
- Modify objectives, constraints, and variables programmatically
- Round-trip compatibility (parse → modify → write → parse)
- Maintain proper LP format specifications
Advanced Features
-
LP File Comparison (
difffeature)- Identify added, removed, and modified elements
- Useful for model version control and validation
-
Serialisation (
serdefeature)- Full serialisation support for all model structures
- Compatible with various data formats
- Enables integration with other tools and systems
Quick Start
Installation
Add to your Cargo.toml:
[dependencies]
lp_parser_rs = "3.0.0" # x-release-please-version
Basic Usage
Using the library directly:
use lp_parser_rs::{parser::parse_file, problem::LpProblem};
use std::path::Path;
fn main() -> Result<(), Box<dyn std::error::Error>> {
// Parse LP file content
let content = parse_file(Path::new("problem.lp"))?;
// Parse into LP problem structure
let problem = LpProblem::parse(&content)?;
// Access problem components
println!("Problem name: {:?}", problem.name());
println!("Objective count: {}", problem.objective_count());
println!("Constraint count: {}", problem.constraint_count());
println!("Variable count: {}", problem.variable_count());
Ok(())
}
LP File Writing and Modification
use lp_parser_rs::{problem::LpProblem, writer::write_lp_string, model::*};
fn main() -> Result<(), Box<dyn std::error::Error>> {
// Parse an existing LP file
let lp_content = std::fs::read_to_string("problem.lp")?;
let mut problem = LpProblem::parse(&lp_content)?;
// Modify objectives
problem.update_objective_coefficient("profit", "x1", 5.0)?;
problem.rename_objective("profit", "total_profit")?;
// Modify constraints
problem.update_constraint_coefficient("capacity", "x1", 2.0)?;
problem.update_constraint_rhs("capacity", 200.0)?;
problem.rename_constraint("capacity", "production_limit")?;
// Modify variables
problem.rename_variable("x1", "production_a")?;
problem.update_variable_type("production_a", VariableType::Integer)?;
// Write back to LP format
let modified_lp = write_lp_string(&problem)?;
std::fs::write("modified_problem.lp", modified_lp)?;
Ok(())
}
Enable Optional Features
[dependencies]
lp_parser_rs = { version = "3.0.0", features = ["serde", "diff"] } # x-release-please-version
Command-Line Interface
The lp_parser binary provides a comprehensive CLI for working with LP files.
Installation
# Install with all features
cargo install lp_parser_rs --all-features
# Or build from source
git clone https://github.com/dandxy89/lp_parser_rs.git
cd lp_parser_rs/rust
cargo build --release --all-features
Commands
lp_parser <COMMAND>
Commands:
parse Parse an LP file and display its structure
info Show detailed statistics about an LP problem
diff Compare two LP files (requires 'diff' feature)
convert Convert LP file to another format
solve Solve an LP problem using external solvers (requires 'lp-solvers' feature)
Global Options:
-v, --verbose Increase output verbosity
-q, --quiet Suppress non-essential output
-h, --help Print help
-V, --version Print version
Examples
Parse and display an LP file:
lp_parser parse problem.lp
Get problem statistics:
lp_parser info problem.lp
# With detailed listings
lp_parser info problem.lp --variables --constraints --objectives
Output as JSON or YAML:
lp_parser info problem.lp --format json --pretty
lp_parser parse problem.lp --format yaml -o problem.yaml
Compare two LP files:
lp_parser diff old_model.lp new_model.lp
lp_parser diff old.lp new.lp --format json --pretty
Convert between formats:
# To LP (with formatting options)
lp_parser convert problem.lp --format lp --precision 4 --compact
# To CSV (creates constraints.csv, objectives.csv, variables.csv)
lp_parser convert problem.lp --format csv --output ./output_dir
# To JSON/YAML
lp_parser convert problem.lp --format json --pretty -o problem.json
lp_parser convert problem.lp --format yaml -o problem.yaml
Solve with external solvers:
# Using CBC (default)
lp_parser solve problem.lp
# Using GLPK
lp_parser solve problem.lp --solver glpk
# Output solution as JSON
lp_parser solve problem.lp --format json --pretty
Solving with External Solvers (lp-solvers feature)
Enable the lp-solvers feature to solve parsed LP problems using external solvers like CBC, Gurobi, CPLEX, or GLPK via the lp-solvers crate:
[dependencies]
lp_parser_rs = { version = "3.0.0", features = ["lp-solvers"] } # x-release-please-version
lp-solvers = "1.1"
use lp_parser_rs::{problem::LpProblem, ToLpSolvers};
use lp_solvers::solvers::{CbcSolver, SolverTrait};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let lp_content = r"
Minimize
obj: 2 x + 3 y
Subject To
c1: x + y <= 10
c2: x >= 2
Bounds
x >= 0
y >= 0
End
";
let problem = LpProblem::parse(lp_content)?;
let compat = problem.to_lp_solvers()?;
// Check for any compatibility warnings
for warning in compat.warnings() {
eprintln!("Warning: {}", warning);
}
// Solve using CBC solver (must be installed on your system)
let solver = CbcSolver::new();
let solution = solver.run(&compat)?;
println!("Solution status: {:?}", solution.status);
Ok(())
}
Limitations: The lp-solvers compatibility layer does not support multiple objectives (returns an error), strict inequalities (<, >), or SOS constraints (ignored with a warning).
API Reference
Problem Modification Methods
The LpProblem struct provides comprehensive methods for modifying LP problems:
Objective Modifications
update_objective_coefficient(objective_name, variable_name, coefficient)- Update or add a coefficient in an objectiverename_objective(old_name, new_name)- Rename an objectiveremove_objective(objective_name)- Remove an objective
Constraint Modifications
update_constraint_coefficient(constraint_name, variable_name, coefficient)- Update or add a coefficient in a constraintupdate_constraint_rhs(constraint_name, new_rhs)- Update the right-hand side valuerename_constraint(old_name, new_name)- Rename a constraintremove_constraint(constraint_name)- Remove a constraint
Variable Modifications
rename_variable(old_name, new_name)- Rename a variable across all objectives and constraintsupdate_variable_type(variable_name, new_type)- Change variable type (Binary, Integer, etc.)remove_variable(variable_name)- Remove a variable from all objectives and constraints
Writing LP Files
use lp_parser_rs::writer::{write_lp_string, write_lp_string_with_options, LpWriterOptions};
// Write with default options
let lp_content = write_lp_string(&problem)?;
// Write with custom options
let options = LpWriterOptions {
include_problem_name: true,
max_line_length: 80,
decimal_precision: 6,
include_section_spacing: true,
};
let lp_content = write_lp_string_with_options(&problem, &options)?;
Development
Testing
The project uses snapshot testing via insta for reliable test management:
# Run all tests with all features enabled
cargo insta test --all-features
# Review snapshot changes
cargo insta review
Test Data Sources
The test suite includes data from various open-source projects:
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Dependencies
~2–9.5MB
~187K SLoC