readcon 0.6.0

Python bindings for readcon-core CON/convel file parser

About

Oxidized rust re-implementation of readCon.

Reads and writes both .con (coordinate-only) and .convel (coordinates plus velocities) simulation configuration files used by eOn.

Features

• CON and convel support: Parses both coordinate-only and velocity-augmented files. Velocity sections are auto-detected without relying on file extensions.
• Lazy iteration: ConFrameIterator parses one frame at a time for memory-efficient trajectory processing.
• Performance: Uses fast-float2 (Eisel-Lemire algorithm) for the f64 parsing hot path and memmap2 for large trajectory files.
• Parallel parsing: Optional rayon-based parallel frame parsing behind the parallel feature gate.
• Language bindings: Python (PyO3), Julia (ccall), C (cbindgen FFI), and C++ (RAII header-only wrapper), following the hourglass design from Metatensor.
• RPC serving: Optional Cap'n Proto RPC interface (rpc feature) for network-accessible parsing.

Quick start

# Rust
cargo add readcon-core
cargo run --example rust_usage -- resources/test/tiny_cuh2.con

# Python
pip install readcon
python -c "import readcon; print(readcon.read_con('file.con'))"

# C/C++ (via meson subproject or cmake)
meson setup builddir -Dwith_examples=True && meson test -C builddir

Installation

Language	Package	Install
Rust	readcon-core	cargo add readcon-core
Python	readcon	pip install readcon
C/C++	GitHub Release	meson subproject or cmake FetchContent
Julia	ReadCon.jl	ccall against shared library

Design Decisions

The library is designed with the following principles in mind:

• Lazy Parsing: The ConFrameIterator allows for lazy parsing of frames, which can be more memory-efficient when dealing with large trajectory files.

• Interoperability: The FFI layer makes the core parsing logic accessible from other programming languages, increasing the library's utility. Currently, a C header is auto-generated along with a hand-crafted C++ interface, following the hourglass design from Metatensor.

FFI Layer

A key challenge in designing an FFI is deciding how data is exposed to the C-compatible world. This library uses a hybrid approach to offer both safety and convenience:

1. Opaque Pointers (The Handle Pattern): The primary way to interact with frame data is through an opaque pointer, represented as RKRConFrame* in C. The C/C++ client holds this "handle" but cannot inspect its contents directly. Instead, it must call Rust functions to interact with the data (e.g., rkr_frame_get_header_line(frame_handle, ...)). This is the safest and most flexible pattern, as it completely hides Rust's internal data structures and memory layout, preventing ABI breakage if the Rust code is updated.

2. Transparent #[repr(C)] Structs (The Data Extraction Pattern): For convenience and performance in cases where only the core atomic data is needed, the library provides a function (rkr_frame_to_c_frame) to extract a "lossy" but transparent CFrame struct from an opaque handle. The C/C++ client can directly read the fields of this struct (e.g., my_c_frame->num_atoms). The client takes ownership of this extracted struct and is responsible for freeing its memory.

This hybrid model provides the best of both worlds: the safety and forward-compatibility of opaque handles for general use, and the performance of direct data access for the most common computational tasks.

Specification

See the formal specification for full details. A summary follows.

CON format

• A 9-line header (comments, cell dimensions, cell angles, atom type/count/mass metadata)
• Per-type coordinate blocks (symbol, label, atom lines with x y z fixed atomID)
• Multiple frames are concatenated directly with no separator

convel format

Same as CON, with an additional velocity section after each frame's coordinates:

• A blank separator line
• Per-type velocity blocks (symbol, label, atom lines with vx vy vz fixed atomID)

Why use this over readCon?

Speed, correctness, and multi-language bindings.

License

MIT.