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quipnetwork / xq-rs

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Understand quipnetwork/xq-rs's source layout and find a starting point for your task using the saved repository evidence.

Detailed import-graph metrics were not captured for this report.

How the code fits together

AI
  • Documentation & ExamplesSpecifications, design docs, and reference implementations.

Files at c2af6d9f01e0 · descriptions are AI-written.

The descriptions and the file list come from different revisions. Check responsibilities against source.

Where to start reading

  2. Repository root
  3. Public API candidatename match

Find files for a task

Change the public API

Start with possible export surfaces, then check their consumers and tests. These suggestions use file names, not verified execution paths.

  • File-name match for this task.

Add or update tests

Use a nearby test as a pattern. Read the root manifest or contribution guide for the correct test command. These suggestions use file names, not verified execution paths.

  • File-name match for this task.
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Change build or automation

Inspect the relevant configuration and the commands it runs before changing the workflow. These suggestions use file names, not verified execution paths.

  • File-name match for this task.
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File paths come from a snapshot of up to 500 captured paths; an omitted file may still exist.

  • Public and runtime candidates are based on file names; their exports and execution paths still need checking in source.
  • 4 suggested change patterns have no captured source file and are omitted.
  • The file list was refreshed after the written analysis. Subsystem descriptions and suggested changes may describe an older revision.

Architecture and request flow

Start here — files every contributor must understand

AI · unverified
1
crates/vm/src/vm.rs

Core VM execution engine; handles instruction dispatch, state management, and quantum circuit simulation—all contributors must understand the execution model.

2
crates/bytecode/src/types/opcode.rs

Defines all opcodes and their semantics; any instruction set changes require updates here.

3
crates/asm/src/parser.rs

Parses XQASM assembly syntax into AST; grammar changes cascade through the entire toolchain.

4
crates/bytecode/src/codec.rs

Encodes/decodes binary bytecode format; serialization bugs affect all downstream users.

5
crates/bytecode/src/builder.rs

Constructs bytecode programmatically; the primary API for code generation tools.

6
crates/vm/src/model.rs

Quantum model representation (QUBO/Ising); data structure for optimization problems.

7
Cargo.toml

Workspace configuration; defines crate dependencies and shared versions across all modules.

Request flow

Technology choices

Rust + Cargo workspace

Memory safety, no-std/alloc support for embedded/WASM deployment, strong type system for correctness in quantum operations, modular crate structure for independent evolution.

PEG parser (pest crate)

Declarative grammar definition (grammar.pest) makes the XQASM syntax explicit and maintainable; easier to extend with new language features.

Bytecode intermediate representation (IR)

Hardware-agnostic abstraction; allows assembly from multiple source languages and decouples front-end (syntax) from back-end (execution/compilation).

Tracer/introspection hooks

Supports debugging, profiling, and educational use; pluggable formatters (JSON, text) enable different workflows without modifying core VM.

Binary codec (serialize/deserialize)

Enables distribution of precompiled bytecode; reduces parsing overhead at runtime.

Design trade-offs

Monolithic bytecode

Code quality and hotspots

Quality Score: 100/100

Low Risk

This repo is in good health with CI, tests, and active maintenance.

Maintainability grade

Static analysis

How maintainable the code looks — from complexity, code issues, test presence, file size, and hotspot load. It grades the shape of the code, not defect risk, and doesn't replace review.

A
97/100
A ≥ 85, B ≥ 70, C ≥ 55, D ≥ 40, F < 40
Cyclomatic complexityavg 5
35/35
Code issues0 errors, 3 warnings
19/20
Testspresent · ~59% of files
20/20
Largest file737 lines
13/15
Hotspot load0 high-risk files
10/10

Configuration status

CI/CD Pipeline — configured

Provider: GitLab CI

Test Suite — detected

95 test files detected

Stack: Rust test · Pytest

Where: scripts/tests · docs/design/specs · spec/xqsa

Test Coverage — ~59%heuristic

95 test files / 161 source files. This is a file-count ratio, not real line coverage — set up Codecov for authoritative numbers.

Dependency Scanning — no config detected

No Dependabot / Renovate / Snyk / Trivy / CodeQL config found. Enable Dependabot or Renovate.

Top hotspots

Files edited often AND hard to reason about. Churn = recent commit frequency, Complexity = branches and nesting, Risk = both combined. These are the highest-leverage targets for refactoring or testing.

src/codec.rs
Churn: 50Complexity: 45Risk: 23
src/builder.rs
Churn: 79Complexity: 27Risk: 21

All hotspots

Files that change often and are complex tend to accumulate more bugs

Code metrics

Static analysis on sampled source files (up to 15 files).

Avg Cyclomatic Complexity5

Counts if/for/while/switch/catch/ternary branches

Errors / Warnings0 / 3

Secrets, empty catches, console.log, var usage, long lines

Largest File Analyzed737 lines
crates/bytecode/src/builder.rs